Dean F. Hougen, Lloyd and Joyce Austin Presidential Professor, University of Oklahoma

Word Cloud of Resume

Professional Background

  • Leadership Positions

  1. Interim Director, School of Computer Science, University of Oklahoma, 2022-present.

  2. Associate Director, School of Computer Science, University of Oklahoma, 2020-2022.

  3. Strategic Initiatives Coordinator, School of Computer Science, University of Oklahoma, 2018-2019.

  4. Founding Laboratory Director, Artificial Intelligence Research (AIR) Superlab, Stephenson Research and Technology Center/One Partners Place, University of Oklahoma, 2004-2017.

  5. Founding Laboratory Director, Robotics, Evolution, Adaptation, and Learning Laboratory (REAL Lab), School of Computer Science, University of Oklahoma, 2004-present.

  6. Founding Laboratory Director, Robotic Intelligence and Machine Learning Laboratory (RIML Lab), School of Computer Science, University of Oklahoma, 2001-2010.

  7. Associate Director, Center for Distributed Robotics, (Nikolaos Papanikolopoulos, Director), Department of Computer Science and Engineering, University of Minnesota, 1998-2001.

  8. Laboratory Director, Digital UNIX Laboratory, John Joseph Moakley Center for Technological Applications, Department of Mathematics and Computer Science, Bridgewater State College, 1997-1998.

  • Academic Positions

  1. Lead Faculty, Software Foundry, Oklahoma Aerospace and Defense Innovation Institute, Office of the Vice President for Research and Partnerships, University of Oklahoma, 2022-present.

  2. Founding Member of the Graduate Faculty, Data Science and Analytics Program, University of Oklahoma, 2021-present.

  3. Member of the Graduate Faculty, Gallogly College of Engineering, University of Oklahoma, 2021-present.

  4. Associate Professor, School of Computer Science, University of Oklahoma, 2007-present.

  5. Member of the Graduate Faculty, School of Electrical and Computer Engineering, University of Oklahoma, 2006-present.

  6. Assistant Professor, School of Computer Science, University of Oklahoma, 2001-2007.

  7. Assistant Professor, Department of Computer Science and Engineering, University of Minnesota, 1998-2001.

  8. Instructor and Member of the Graduate Faculty, Department of Mathematics and Computer Science, Bridgewater State College, Bridgewater, Massachusetts, 1997-1998.

  9. Instructor, Department of Computer Science and Engineering, University of Minnesota, 1996-1997.

  10. Graduate Assistant, Department of Computer Science and Engineering and The Center for Interdisciplinary Studies of Writing, University of Minnesota, 1996-1997.

  11. Graduate Assistant, Department of Computer Science and Engineering, University of Minnesota, 1995-1996.

  12. Graduate Assistant, Department of Soil, Water, and Climate, University of Minnesota, 1990-1995.

  13. Graduate Assistant, Department of Computer Science and Engineering, University of Minnesota, 1989-1990.

  • Professional Development

  1. Participant, Inaugural CRA Leadership Academy for Faculty, Computing Research Association (CRA), 2023.

  2. Certified Facilitator, Entering Mentoring, Center for the Improvement of Mentored Experiences in Research (CIMER), Wisconsin Center for Education Research, School of Education, University of Wisconsin–Madison, 2022.

  3. Fellow, Cohort 1, Cultural Competence in Computing (3C) Fellows Program, Identity in Computing Lab, Department of Computer Science, Duke University, 2021.
  • Education

  1. Doctor of Philosophy, October 1998, University of Minnesota
    Major: Computer Science
    Minor: Cognitive Science
    Advisors: Professor James Slagle and Professor Maria Gini
    Dissertation Title: Connectionist Reinforcement Learning for Control of Robotic Systems

  2. Bachelor of Science, May 1988, Iowa State University
    Major: Computer Science
    Minors: Mathematics and Philosophy


Awards

  • Grants and Contracts (Total: $20M+)

  1. Zahed Siddique, Yingtao Liu, Dean F. Hougen, Randa Shehab, David S. Ebert, Shivakumar Raman, John K. Antonio, Yaser Mohammadi Banadaki, and Clifford Wojtalewicz.   "Sustainment and Modernization Research and Development: Operationalizing Additive Manufacturing."   U.S. Department of Defense, Air Force Research Laboratory.   $8,725,800.   April 2023-April 2026.

  2. David S. Ebert, Michael C. Wimberly, Jason R. Vogel, Thirumalai Venkatesan, Dean F. Hougen, Hank Jenkins-Smith, Chao Lan, Charles Nicholson, Talayeh Razzaghi, and Anni Yang.   "Predictive Intelligence for Pandemic Prevention Phase I: Next Generation Surveillance Incorporating Public Health, One Health, and Data Science to Detect Emerging Pathogens of Pandemic Potential."   National Science Foundation.   $999,977.   July 2022-January 2025.

  3. David McLeod, Dean F. Hougen, and Constance Chapple.   "Developing Mobile Technology to Assist with Youth Diversion Services."   Institute for Community and Society Transformation (ICAST) and Data Institute for Societal Challenges (DISC) Seed Grant Program.   $30,000.   June 2022-June 2023.

  4. Deborah A. Trytten, Heather J. Shotton, Natalie Youngbull, Deborah A. Moore-Russo, Randa L. Shehab, Casey V. Haskins, and Dean F. Hougen.   "Computer Science Indigenous Community of Learners United to Develop, Excel, and Succeed (CS INCLUDES)."   National Science Foundation.   $1,498,943.   October 2021-September 2026.

  5. Dean Hougen, John Antonio, and Lacey Schley.   "Attention and Decision Hierarchies for Interpretable Auto Routing of Aircraft."   Air Force Sustainment Center.   $476,190.   September 2021-December 2023.

  6. Dean Hougen, John Antonio, and Lacey Schley.   "Smart Fusion for Command and Control Operations."   Air Force Research Laboratory.   $610,434.   September 2021-December 2022.

  7. Ekaterina Tsetsura, Xiaochen Zhang, and Dean Hougen.   "Seed Grant: The Decision Environment of Resilient Communities."   Office of the Vice President for Research and Partnerships and Data Institute for Societal Challenges ADGS Seed Grant Program.   $10,000.   June 2021-April 2022.

  8. Iman Ghamarian, Yingtao Liu, Le Gruenwald, Jinsong Pei, Dean Hougen, and Zahed Siddique.   "Seed Grant: Informative Machine Learning Augmented Process Optimization and In-Situ Monitoring for High Throughput Additive Manufacturing of Structural Composites" and "Expediting the Industrial Adoption of Additively Manufactured Titanium Alloys by Deep-learning Assisted Process-property Design."   Office of the Vice President for Research and Partnerships and Data Institute for Societal Challenges Big Ideas Challenge Seed Grant Program.   $10,000 (joint award).   July 2021-March 2022.

  9. Thomas Wavering, John Antonio, Lacey Schley, Dean Hougen, Joyce Burch, Brandt Smith, and Francisco Robles.   Economic Development Administration CARES Act Grant.   $450,000.   February 2021-February 2024.

  10. David Ebert, Dean Hougen, Hank Jenkins-Smith, Charles Nicholson, and Carol Silva.   "Creation of the joint UNSA/OU Center for Monitoring and Control of Public Health for the Arequipa Region."   Universidad Nacional de San Agustín (UNSA), Peru.   $1,636,345.   February 2021-December 2023.

  11. Jeff Kelly, Yifu Li, Charles Nicholson, and Dean Hougen.   "Seed Grant: Blending Data Streams to Create Reliable Ecological Forecasts."   Office of the Vice President for Research and Partnerships.   $4,000.   December 2020-December 2021.

  12. Bayram Saparov, Bin Wang, Samuel Cheng, Kun Lu, and Dean Hougen.   "Seed Grant: Accelerated Optoelectronic Materials Design and Discovery Guided by Machine Learning and Advanced Computation"   Office of the Vice President for Research and Partnerships.   $3,000.   December 2020-December 2021.

  13. Deepak Devegowda, Yihan Shao, Samuel Cheng, and Dean Hougen.   "Seed Grant: Machine-Learning Assisted Molecular and Coarse-Scaled Dynamics"   Office of the Vice President for Research and Partnerships.   $3,000.   December 2020-December 2021.

  14. Sridhar Radhakrishnan, Dean Hougen, Charles Nicholson, Christan Grant, and John Antonio.   "SkyNet: Artificial Intelligence and Machine Learning Improvements for Reconnaissance."   Boeing Defense and Space Group.    $87,710.   August 2020-December 2020.

  15. Sridhar Radhakrishnan, Christan Grant, Dean Hougen, Charles Nicholson, and John Antonio.   "Hydra: Implementation of Multi-Threaded Software for Reconnaissance."   Boeing Defense and Space Group.   $183,269.   August 2020-December 2020.

  16. Dean Frederick Hougen, Michael Mumford, Sridhar Radhakrishnan, Aaron M. Wendelboe, Song Fang, and Anindya Maiti.   "Co-Advisor: COVID-19 Rapid Response Research Seed Grant."   Office of the Vice President for Research and Partnerships.   $27,000.   May 2020-October 2020.

  17. Dean F. Hougen.   "Machine Learning for Transportation Short Course."   Oklahoma Department of Transportation.   $49,998.   November 2019-September 2020.

  18. Christan Grant and Dean F. Hougen.  "Learner Data Management. "  Federal Aviation Administration.   $139,849.   January 2017-December 2017.

  19. Sridhar Radhakrishnan, Dean F. Hougen, Christan Grant, and Suleyman Karabuk.   "Coastal Assistant Prototype."   Weathernews, Inc.   $101,845.   June 2016-December 2016.

  20. Sridhar Radhakrishnan, Dean F. Hougen, and Suleyman Karabuk.   "WxButler: An Artificial Intelligence Planning System for Maritime Logistics."   Weathernews, Inc.   $60,303.   June 2015-December 2015.

  21. Dean F. Hougen and Ingo Schlupp.   "Agent-Based Modeling, Speciation, and Evolutionary Computation."   Seed Funding for Interdisciplinary Research, College of Engineering, University of Oklahoma.   $8,000.   August 2014-December 2014.

  22. Dean F. Hougen and Ingo Schlupp.   "Foundations for the Evolution of Nurturing and Learning in Robots."   Potentially Transformative Research, Scholarship and Creative Activity Program, Office of the Vice President for Research and The Research Council, University of Oklahoma.   $36,296.   January 2011-December 2011.

  23. Michael Mumford, Eric Day, and Dean F. Hougen.   "Mental Models and Creative Problem-Solving in Information Technology."   National Science Foundation.   $206,632.   September 2009-August 2011.

  24. Andrew H. Fagg, Amy McGovern, Dean F. Hougen, Rafael Fierro, and Terran Lane.   "Research Experiences for Undergraduates Site: Integrated Machine Learning Systems."   National Science Foundation.   $310,954.   February 2008-January 2011.

  25. Thomas L. Landers, Sridhar Radhakrishnan, James Sluss, Seshadri Commuri, Monte Tull, John Antonio, and Dean F. Hougen    "Inter-Modal Containerized Freight Security."   Federal Highway Administration.   $3,613,458.  June 13, 2006 - August 15, 2007.

  26. Dean F. Hougen, Qi Cheng, Amy McGovern, Yifei Dong, and Andrew Fagg.   "Computer Science Graduate Fellowship Program."  Graduate College and College of Engineering, University of Oklahoma.   $230,000.   August 2006-May 2015.

  27. Michael Mumford, Frederick Carr, Mary Connelly, Teri Murphy, Morris Foster, Dean F. Hougen, Marguerite Keesee, and Robert Palmer.   "Development and Evaluation of a Work Practices Approach for Ethics Education in Science and Engineering."   National Science Foundation.   $209,776.   October 2005-September 2008.

  28. Andrew H. Fagg and Dean F. Hougen with Amy McGovern, Kelvin Droegemeier, and Terran Lane.   "Research Experiences for Undergraduates Site: Embedded Machine Learning Systems."   National Science Foundation.   $299,997.   February 2005-January 2008.

  29. Dean F. Hougen, Sesh Commuri, and Rafael Fierro.   "Adaptation and Learning at All Levels in Intelligent Robot Teams for Reconnaissance, Surveillance, and Battlefield Assessment."   Defense Experimental Program to Stimulate Competitive Research: Army Research Office.   $811,508.   July 2003-June 2007.

  30. Sridhar Radhakrishnan and Dean F. Hougen.   "Supplement to: Improving Workzone Safety: Real-Time Information and Forewarning Systems."   Oklahoma Transportation Center.   $16,519.   January 2003-August 2003.

  31. Sridhar Radhakrishnan and Dean F. Hougen.   "Improving Workzone Safety: Real-Time Information and Forewarning Systems."   Oklahoma Office of Highway Safety.   $50,000.   January 2003-August 2003.

  32. Sridhar Radhakrishnan, Rafael Fierro, and Dean F. Hougen.   "24/7 Remote Monitoring of Work Zones and Intelligent Decision Support System for the Safety of Motorists and Highway Construction Workers."   Oklahoma Transportation Center.   $50,000.   May 2002-September 2002.

  33. Randa L. Shehab and Carmela V. Gottesman with Amy C. Bradshaw, Eric Anthony Day, Scott D. Gronlund, Sowon Hahn, Kathleen J. M. Haynes, Dean F. Hougen, Katherine A. Pandora, and Robert E. Schlegel.   "Research Experiences for Undergraduates Site on Human Technology Interaction."   National Science Foundation.   $301,219.   January 2002-December 2004.

  • Support and Recognition

  1. Co-Awardee, Annual Award for Excellence in Research Grants, Vice President for Research and Partnerships, 2024.

  2. Co-Awardee, Best Paper in Human Factors with Sensor Processing, Digital Avionics Systems Conference, Digital Avionics Technical Committee, 2024.

  3. Co-Awardee, Annual Award for Excellence in Research Grants, Vice President for Research and Partnerships, 2023.

  4. Lloyd and Joyce Austin Presidential Professor, University of Oklahoma, 2022.

  5. Co-Awardee, Annual Award for Excellence in Research Grants, Vice President for Research and Partnerships, 2022 (Two Awards).

  6. Co-Awardee, Best Paper in Explainable Artificial Intelligence, Digital Avionics Systems Conference, Digital Avionics Technical Committee, 2021.

  7. Awardee/Advisor, Best Student Paper Award, IEEE Congress on Evolutionary Computation, Institute of Electrical and Electronics Engineers, 2018.

  8. Awardee, Professor of the Year, School of Computer Science, College of Engineering, University of Oklahoma, 2015-2016.

  9. Co-Awardee, Professor of the Year, School of Computer Science, College of Engineering, University of Oklahoma, 2014-2015.

  10. Nominee, John E. Fagan Award for Support of Experiential Learning, College of Engineering, University of Oklahoma, 2015.

  11. Nominee, Brandon H. Griffith Award for Outstanding Faculty Member, College of Engineering, University of Oklahoma, 2014.

  12. Awardee, Teaching Scholars Award, Teaching Scholars Initiative, College of Engineering, University of Oklahoma, 2013.

  13. Nominee, Brandon H. Griffith Award for Outstanding Faculty Member, College of Engineering, University of Oklahoma, 2013.

  14. Awardee, Best Paper Award, International Conference on the Synthesis and Simulation of Living Systems, International Society for Artificial Life, 2012.

  15. Finalist, Best Paper Award, Genetic and Evolutionary Computation Conference, Association for Computing Machinery Special Interest Group on Genetic and Evolutionary Computation, 2010.

  16. Nominee, Brandon H. Griffith Award for Outstanding Faculty Member, College of Engineering, University of Oklahoma, 2005.

  17. Nominee, Dean's Outstanding Teaching and Service Award, American Society for Engineering Education, Midwest Section, 2004.

  18. Nominee, Outstanding Faculty Advisor, College of Engineering, University of Oklahoma, 2004.

  19. Awardee, AAAI Robot Competition and Exhibition Scholarship, American Association for Artificial Intelligence, 2000.

  20. Semifinalist, Computation, Discover Magazine Awards for Technological Innovation, 2000.   Scout Robot.

  21. Awardee, Best Video Award, International Conference on Robotics and Automation, Institute of Electrical and Electronics Engineers, 2000.

  22. Awardee, Conference Fellowship, International Conference on Neural Networks, Institute of Electrical and Electronics Engineers, 1997.

  23. Awardee, Research Contribution Award, Department of Computer Science and Engineering, University of Minnesota, 1997.

  24. Awardee, AAAI Robot Competition and Exhibition Scholarship, American Association for Artificial Intelligence, 1994.

  25. Awardee, Research Contribution Award, Department of Computer Science and Engineering, University of Minnesota, 1993.

Publications and Presentations

  • Journal Articles

  1. Audrey Reinert, Luke S. Snyder, Jieqiong Zhao, Andrew S. Fox, Dean F. Hougen, Charles Nicholson, and David S. Ebert.    "Visual Analytics for Decision-Making During Pandemics."    Computing in Science and Engineering, 22(6): 48-59, 2020. https://dx.doi.org/10.1109/MCSE.2020.3023288

  2. David R. Peterson, Jamie D. Barrett, Kimberly S. Hester, Issac C. Robledo, Dean F. Hougen, Eric A. Day, and Michael D. Mumford.    "Teaching People to Manage Constraints: Effects on Creative Problem-Solving."    Creativity Research Journal, 25(3): 335-347, 2013. https://dx.doi.org/10.1080/10400419.2013.813809

  3. Jamie D. Barrett, David R. Peterson, Kimberly S. Hester, Issac C. Robledo, Eric A. Day, Dean F. Hougen, and Michael D. Mumford.    "Thinking About Applications: Effects on Mental Models and Creative Problem-Solving"    Creativity Research Journal, 25(2): 199-212, 2013. https://dx.doi.org/10.1080/10400419.2013.783758

  4. Michael D. Mumford, Kimberly S. Hester, Issac C. Robledo, David R. Peterson, Eric A. Day, Dean F. Hougen, and Jamie D. Barrett.    "Mental Models and Creative Problem-Solving: The Relationship of Objective and Subjective Model Attributes."    Creativity Research Journal, 24(4):311-330, November 2012. https://dx.doi.org/10.1080/10400419.2012.730008

  5. Kimberly S. Hester, Issac C. Robledo, Jamie D. Barrett, David R. Peterson, Dean F. Hougen, Eric A. Day, and Michael D. Mumford.    "Causal Analysis to Enhance Creative Problem-Solving: Performance and Effects on Mental Models."    Creativity Research Journal, 24(2-3):115-133, April 2012. https://dx.doi.org/10.1080/10400419.2012.677249

  6. Issac C. Robledo, Kimberly S. Hester, David R. Peterson, Jamie D. Barrett, Eric A. Day, Dean F. Hougen, and Michael D. Mumford.    "Errors and Understanding: The Effects of Error Management Training on Creative Problem-Solving."    Creativity Research Journal, 24(2-3):220-234, April 2012. https://dx.doi.org/10.1080/10400419.2012.677352

  7. Shawn McCarroll, Mark Yeary, Dean F. Hougen, Valliappa Lakshmanan, and Steven Smith.    "Approaches for Compression of Super-Resolution WSR-88D Data."    IEEE Geoscience and Remote Sensing Letters, 8(2):191-195, March 2011.

  8. Brent E. Eskridge and Dean F. Hougen.    "Extending Adaptive Fuzzy Behavior Hierarchies to Multiple Levels of Composite Behaviors."    Robotics and Autonomous Systems, 58(9):1076-1084, September 2010. https://dx.doi.org/10.1016/j.robot.2010.05.003

  9. Vykinta Kligyte, Richard T. Marcy, Ethan P. Waples, Sydney T. Sevier, Elaine S. Godfrey, Michael D. Mumford, and Dean F. Hougen.    "Application of a Sensemaking Approach to Ethics Training in the Physical Sciences and Engineering."   Science and Engineering Ethics, 14(2): 251-278, 2008.

  10. Pedro A. Diaz-Gomez and Dean F. Hougen.   "Hunting for Snakes in Hypercubes using Genetic Algorithms."   ACIS International Journal of Computer and Information Science, 7 (1-4): 1-12, 2006.

  11. David P. Miller, Dean F. Hougen, and Donna Shirley.   "The Sooner Lunar Schooner: Lunar Engineering Education."   Advances in Space Research, 31(11): 2449-2454, 2003.

  12. Paul E. Rybski, Sascha A. Stoeter, Maria Gini, Dean F. Hougen, and Nikolaos Papanikolopoulos.   "Performance of a Distributed Robotic System Using Shared Communications Channels."   IEEE Transactions on Robotics and Automation, 18(5):713-727, October 2002.

  13. Sascha A. Stoeter, Paul E. Rybski, Kristen N. Stubbs, Colin P. McMillen, Maria Gini, Dean F. Hougen, and Nikolaos Papanikolopoulos.   "A Robot Team for Surveillance Tasks: Design and Architecture."   Robotics and Autonomous Systems, 40(2-3): 173-183, September 2002.

  14. Dean F. Hougen, Paul E. Rybski, and Maria Gini.   "Repeatability of Real World Training Experiments: A Case Study."   Autonomous Robots, 6(3): 281-292, June 1999.

  • Refereed Magazine Articles

  1. Paul E. Rybski, Sascha A. Stoeter, Nikolaos P. Papanikolopoulos, Ian Burt, Tom Dahlin, Maria Gini, Dean F. Hougen, Donald G. Krantz, and Florent Nageotte.   "Sharing Control: Presenting a Framework for the Operation and Coordination of Multiple Miniature Robots."   In IEEE Robotics and Automation Magazine, 9(4): 41-48, December 2002.

  2. Paul E. Rybski, Nikolaos P. Papanikolopoulos, Sascha A. Stoeter, Donald G. Krantz, Kemal B. Yesin, Maria Gini, Richard Voyles, Dean F. Hougen, Brad Nelson, Michael D. Erickson.   "Enlisting Rangers and Scouts for Reconnaissance and Surveillance."   IEEE Robotics and Automation Magazine, 7(4): 14-24, December 2000.

  • Refereed Book Chapters

  1. Jin-Song Pei, Dean F. Hougen, Sai Teja Kanneganti, Joseph P. Wright, Eric C. Mai, Andrew W. Smyth, Sami F. Masri, Armen Derkevorkian, François Gay-Balmaz, and Ludian Komini.   "Interpretable Machine Learning for Function Approximation in Structural Health Monitoring."   Structural Health Monitoring Based on Data Science Techniques, Alexandre Cury, Diogo Ribeiro, Filippo Ubertini, and Michael Todd (eds.), Springer, 2021. http://dx.doi.org/10.1007/978-3-030-81716-9_18

  2. Brent E. Eskridge and Dean F. Hougen.   "State and Action Abstraction in the Development of Agent Controllers."   Autonomous Agents, Vedran Kordic (ed.), INTECH, Chapter 1 (pp. 1-25), June 2010. https://dx.doi.org/10.5772/9655

  3. Rafael Fierro, Justin Clark, Dean F. Hougen, and Sesh Commuri.   "A Multi-Robot Testbed for Biologically-Inspired Cooperative Control."   Multi-Robot Systems. From Swarms to Intelligent Automata, Volume III, L. E. Parker, F. E. Schneider, and A. C. Schultz (eds.), Springer, pp. 171-182, 2005.

  4. Paul Rybski, Sascha Stoeter, Maria Gini, Dean Hougen, and Nikolaos Papanikolopoulos.   "Performance of a Distributed Robotic System Using Shared Communications Channels."   Advances in Plan-Based Control of Robotic Agents, Lecture Notes in Computer Science, Volume 2466, M. Beetz, J. Hertzberg, M. Ghallab, and M. E. Pollack (eds.), Springer, pages 211-225, 2002.

  5. Dean F. Hougen, Maria Gini, and James Slagle.  "An Integrated Connectionist Approach to Reinforcement Learning for Robotic Control: Extension to Three Dimensions."  Intelligent Autonomous Systems 7, M. L. Gini, C. Torras, and H. Yuasa (eds.), IOS Press, pages 134-141, 2002.

  6. Dean F. Hougen, Michael D. Erickson, Paul E. Rybski, Sascha A. Stoeter, Maria Gini, and Nikolaos Papanikolopoulos.   "Autonomous Mobile Robots and Distributed Exploratory Missions."   Distributed Autonomous Robotic Systems 4, L. E. Parker, G. Bekey, and J. Barhen (eds.), Springer-Verlag, Tokyo, pages 221-230, 2000.

  7. Sascha A. Stoeter, Paul E. Rybski, Michael D. Erickson, Maria Gini, Dean F. Hougen, Donald G. Krantz, Nikolaos Papanikolopoulos, and Michael Wyman.   "A Robot Team for Exploration and Surveillance: Design and Architecture."   Intelligent Autonomous Systems 6, E. Pagello, F. Groen, T. Arai, R. Dillmann, and A. Stentz (eds.), IOS Press, pages 767-774, 2000.

  • Refereed Conference Papers

  1. Brandon Morgan and Dean Hougen.   "Neural Optimizer Equation, Decay Function, and Learning Rate Schedule Joint Evolution."   Genetic and Evolutionary Computation Conference, 8 pages, July 2024.

  2. Brandon Morgan and Dean Hougen.   "Evolving Loss Functions for Specific Image Augmentation Techniques."   Genetic and Evolutionary Computation Conference, 8 pages, July 2024.

  3. Brandon Morgan and Dean Hougen.   "Neural Loss Function Evolution for Large-Scale Image Classifier Convolutional Neural Networks."   Genetic and Evolutionary Computation Conference, 4 pages, July 2024.

  4. Debra Hogue, Timothy Sharp, Joseph Karch, Geoffrey Dolinger, Alexander Stringer, Lacey Schley, Adam Bowersox, Chris Weaver, and Dean Hougen.   "Using Informative AI to Understand Camouflaged Object Detection and Segmentation."  Digital Avionics Systems Conference, 9 pages, October 2023. Best Paper in Session (Human Factors with Sensor Processing). https://doi.org/10.1109/DASC58513.2023.10311193

  5. Sanjana Mudduluru, Sai Kiran Reddy Maryada, William Lee Booker, Dean F. Hougen, Bin Zheng.   "Improving Medical Image Segmentation and Classification Using a Novel Joint Deep Learning Model."   Proceedings of SPIE Medical Imaging / Computer-Aided Diagnosis, April 2023. https://doi.org/10.1117/12.2654052

  6. Alexander Stringer, Brian Sun, Lacey Schley, Dean F. Hougen, and John K. Antonio.   "Causality-Aware Machine Learning for Path Correction."   Digital Avionics Systems Conference, 10 pages, September 2022. https://doi.org/10.1109/DASC55683.2022.9925875

  7. Sai Kiran Reddy Maryada, William Booker, Gopichandh Danala, Dean F. Hougen, and Bin Zheng.   "Applying a Novel Two-Stage Deep-Learning Model to Improve Accuracy in Detecting Retinal Fundus Images."   Proceedings of SPIE Medical Imaging / Computer-Aided Diagnosis, February 2022. https://doi.org/10.1117/12.2611565

  8. Sai Teja Kanneganti, Jin-Song Pei, and Dean Frederick Hougen.   "Developing Interpretable Machine Learning for Forward Kinematics of Robotic Arms."   IEEE Symposium Series on Computational Intelligence, 10 pages, December 2021. https://doi.org/10.1109/SSCI50451.2021.9660074

  9. Alexander Stringer, Brian Sun, Zackary Hoyt, Lacey Schley, Dean Hougen, and John K. Antonio.   "SEDA: A Self-Explaining Decision Architecture Implemented Using Deep Learning for On-Board Command and Control."   Digital Avionics Systems Conference, 10 pages, October 2021. Best Paper in Session (Explainable AI). https://doi.org/10.1109/DASC52595.2021.9594351

  10. Dean Frederick Hougen, Jin-Song Pei, and Sai Teja Kanneganti.   "Toward Interpretable Machine Learning for Understanding Epidemic Data."   IEEE International Workshop on Fair and Interpretable Learning Algorithms, 6 pages, December 2020. https://doi.org/10.1109/BigData50022.2020.9377834

  11. Britt Richardson and Dean Frederick Hougen.   "Districts by Demographics: Predicting U.S. House of Representative Elections using Machine Learning and Demographic Data."   IEEE International Conference on Machine Learning and Applications, 6 pages, December 2020. https://doi.org/10.1109/ICMLA51294.2020.00136

  12. Oluwatobi I. Ajagbe and Dean Frederick Hougen.   "Evolution, Sympatric Speciation, and Risk Aversion."   IEEE Symposium Series on Computational Intelligence, 8 pages, December 2020. https://doi.org/10.1109/SSCI47803.2020.9308276

  13. Syed Naveed Hussain Shah and Dean Frederick Hougen.   "Improved Stochastic Synapse Reinforcement Learning for Continuous Actions in Sharply Changing Environments."   IEEE/INNS International Joint Conference on Neural Networks, 8 pages, July 2020. https://doi.org/10.1109/IJCNN48605.2020.9207622

  14. Syed Naveed Hussain Shah and Dean Frederick Hougen.   "Stochastic Reinforcement Learning for Continuous Actions in Dynamic Environments."   Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference, pages 472-477, May 2020. https://www.aaai.org/ocs/index.php/FLAIRS/FLAIRS20/paper/view/18483/17636

  15. Steven Aaron Roberts and Dean Frederick Hougen.   "Information and Resource Sharing in Reinforcement Learning Agents Subject to Risk."   IEEE Symposium Series on Computational Intelligence, 8 pages, December 2019. https://doi.org/10.1109/SSCI44817.2019.9002914

  16. Syed Naveed Hussain Shah and Dean Frederick Hougen.   "Rethinking Stochasticity in Neural Networks for Reinforcement Learning with Continuous Actions."   IEEE Symposium Series on Computational Intelligence, 8 pages, December 2019. https://doi.org/10.1109/SSCI44817.2019.9002826

  17. Dean Frederick Hougen and Syed Naveed Hussain Shah.   "The Evolution of Reinforcement Learning."   IEEE Symposium Series on Computational Intelligence, 8 pages, December 2019. https://doi.org/10.1109/SSCI44817.2019.9003146

  18. Will Booker and Dean Frederick Hougen.   "Meiotic Inheritance and Gene Dominance in Synthetic Sympatric Speciation."   IEEE Congress on Evolutionary Computation, 8 pages, July 2018. https://doi.org/10.1109/CEC.2018.8477761    Best Student Paper Award.

  19. Byran Hoke and Dean Frederick Hougen.   "Nurturing Promotes the Evolution of Generalized Supervised Learning."   IEEE Congress on Evolutionary Computation, 8 pages, July 2018. https://doi.org/10.1109/CEC.2018.8477786

  20. Joohee Suh and Dean Frederick Hougen.   "The Context-Aware Learning Model: neuro-experience-powered Logistic Regression Backpropagation (CALM-nepLRB)."   IEEE/INNS International Joint Conference on Neural Networks, 8 pages, July 2018. https://doi.org/10.1109/IJCNN.2018.8489617

  21. Joohee Suh and Dean Frederick Hougen.   "The Context-Aware Learning Model: experience-powered Logistic Regression Backpropagation (CALM-epLRB)."   IEEE/INNS International Joint Conference on Neural Networks, 8 pages, July 2018. https://doi.org/10.1109/IJCNN.2018.8489380

  22. Joohee Suh and Dean F. Hougen.   "The Context-Aware Learning Model: reward-based and experience-based Logistic Regression Backpropagation."   IEEE Symposium Series on Computational Intelligence, 8 pages, November 2017. https://doi.org/10.1109/SSCI.2017.8285401

  23. Syed Naveed Hussain Shah and Dean F. Hougen.   "Nurturing Promotes the Evolution of Reinforcement Learning in Changing Environments."   IEEE Symposium Series on Computational Intelligence, 8 pages, November 2017. https://doi.org/10.1109/SSCI.2017.8285400

  24. Syed Naveed Hussain Shah and Dean F. Hougen.   "Stochastic Synapse Reinforcement Learning (SSRL)."   IEEE Symposium Series on Computational Intelligence, 8 pages, November 2017. https://doi.org/10.1109/SSCI.2017.8285425

  25. Joohee Suh and Dean F. Hougen.   "Context-based Adaptive Robot Behavior Learning Model (CARB-LM)."   IEEE Symposium Series on Computational Intelligence, 8 pages, December 2014. https://dx.doi.org/10.1109/CICA.2014.7013253

  26. Brent E. Eskridge and Dean F. Hougen.   "Nurturing Promotes the Evolution of Learning in Uncertain Environments."   The Second Joint IEEE International Conference on Development and Learning / Epigenetic Robotics Conference, 6 pages, unnumbered, November 2012. https://dx.doi.org/10.1109/DevLrn.2012.6400847

  27. Armand Leonce, Bryan Hoke, and Dean F. Hougen.   "Evolution of Robot-to-Robot Nurturing and Nurturability."   The Second Joint IEEE International Conference on Development and Learning / Epigenetic Robotics Conference, 7 pages, unnumbered, November 2012. https://dx.doi.org/10.1109/DevLrn.2012.6400852

  28. Mark Woehrer, Dean F. Hougen, Ingo Schlupp, and Brent E. Eskridge.   "Robot-to-Robot Nurturing: A Call to the Research Community."   The Second Joint IEEE International Conference on Development and Learning / Epigenetic Robotics Conference, 2 pages, unnumbered, November 2012. https://dx.doi.org/10.1109/DevLrn.2012.6400859

  29. Mark Woehrer, Dean Hougen, and Ingo Schlupp.   "Sexual Selection, Resource Distribution, and Population Size in Synthetic Sympatric Speciation."   International Conference on the Synthesis and Simulation of Living Systems, pages 137-144 July 2012.  https://dx.doi.org/10.7551/978-0-262-31050-5-ch020  Best Paper Award.

  30. John Crofford, Brent Eskridge, and Dean F. Hougen.   "Applying the Triple Parameter Hypothesis to Maintenance Scheduling."    Genetic and Evolutionary Computation Conference, pages 799-806, July 2010.

  31. Benjamin P. Carlson and Dean F. Hougen.   "Phenotype Feedback Genetic Algorithm Operators for Heuristic Encoding of Snakes within Hypercubes."    Genetic and Evolutionary Computation Conference, pages 791-798, July 2010. Best Paper Award Finalist.

  32. Shawn McCarroll, Mark Yeary, and Dean F. Hougen.   "Compression Strategies for Super Resolution WSR-88D Radar Data."    34th AMS Conference on Radar Meteorology, October 2009.

  33. Pedro A. Diaz-Gomez and Dean F. Hougen.   "Three Interconnected Parameters for Genetic Algorithms."   Genetic and Evolutionary Computation Conference, pages 763-770, July 2009.

  34. Gerardo Gonzalez and Dean F. Hougen.   "Elitism, Fitness, and Growth."   Genetic and Evolutionary Computation Conference, pages 1851-1852, July 2009.

  35. Brent E. Eskridge and Dean F. Hougen.   "Using Action Abstraction to Evolve Effective Controllers."   Genetic and Evolutionary Computation Conference, pages 1773-1774, July 2009. https://dx.doi.org/10.1145/1569901.1570153

  36. Pedro A. Diaz-Gomez and Dean F. Hougen.   "Initial Population Diversity and Performance Independence."   International Conference on Artificial Intelligence and Pattern Recognition, 6 pages, unnumbered, July 2009.

  37. Pedro A. Diaz-Gomez and Dean F. Hougen.   "Initial Population Diversity Does Not Influence Performance"   International Conference on Genetic and Evolutionary Methods, pages 55-63, July 2008.

  38. Nathaniel P. Troutman, Brent E. Eskridge, and Dean F. Hougen.   "Is 'Best-So-Far' a Good Algorithmic Performance Metric?"   Genetic and Evolutionary Computation Conference, pages 1147-1148, July 2008.

  39. Pedro A. Diaz-Gomez and Dean F. Hougen.   "Internal vs. External Parameters in Fitness Functions."   International Conference on Artificial Intelligence and Pattern Recognition, pages 195-199, July 2008.

  40. Pedro A. Diaz-Gomez and Dean F. Hougen.   "A Trade-Off of the Schema Theorem."   International Conference on Artificial Intelligence and Pattern Recognition, pages 326-333, July 2007.

  41. Pedro A. Diaz-Gomez and Dean F. Hougen.   "An Empirical Study of Initial Populations and Genetic Algorithm Performance."    International Conference on Artificial Intelligence and Pattern Recognition, pages 334-341, July 2007.

  42. Pedro A. Diaz-Gomez and Dean F. Hougen.   "Initial Population for Genetic Algorithms: A Metric Approach."   International Conference on Genetic and Evolutionary Methods, pages 43-49, June 2007.

  43. Pedro A. Diaz-Gomez and Dean F. Hougen.   "Misuse Detection: A Neural Network vs. A Genetic Algorithm Approach."  International Conference on Enterprise Information Systems, pages 459-462, June 2007.

  44. Pedro A. Diaz-Gomez and Dean F. Hougen.   "Misuse Detection: An Iterative Process vs. A Genetic Algorithm Approach."  International Conference on Enterprise Information Systems, 455-457, June 2007.

  45. Brent E. Eskridge and Dean F. Hougen.   "Using Priorities to Simplify Behavior Coordination."   International Joint Conference on Autonomous Agents and Multi-Agent Systems, pages 1339-1341, May 2007. https://dx.doi.org/10.1145/1329125.1329411

  46. Pedro A. Diaz-Gomez and Dean F. Hougen.   "A Genetic Algorithm Approach for Doing Misuse Detection in Audit Trail Files."   IEEE International Conference on Computing, November 2006.

  47. Brent E. Eskridge and Dean F. Hougen.   "An Analysis of Memetic Crossover's Impact on a Population."   IEEE Congress on Evolutionary Computation, pages 6844-6850, July 2006.

  48. Brent E. Eskridge and Dean F. Hougen.   "Prioritizing Fuzzy Behaviors in Multi-Robot Pursuit Teams."   IEEE International Conference on Fuzzy Systems, pages 6039-6045, July 2006. https://dx.doi.org/10.1109/FUZZY.2006.1681850

  49. Jason M. Black and Dean F. Hougen.   "A Benchmark for Cooperative Learning Agents."   The Twenty-First National Conference on Artificial Intelligence, pages 1855-1856, July 2006.

  50. Pedro A. Diaz-Gomez and Dean F. Hougen.   "The Snake in the Box Problem: Mathematical Conjecture and a Genetic Algorithm Approach."   Genetic and Evolutionary Computation Conference, pages 1409-1410, July 2006.

  51. Pedro A. Diaz-Gomez and Dean F. Hougen.   "Genetic Algorithms for Hunting Snakes in Hypercubes: Fitness Function Analysis and Open Questions."   Proceedings of the Seventh IEEE/Association for Computer and Information Science International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, pages 389-394, June 2006.

  52. Pedro A. Diaz-Gomez and Dean F. Hougen.   "Three Approaches to Intrusion Detection: Analysis and Enhancements."   Asociación Colombiana de Ingenieros de Sistemas Sixth National Computer and Information Security Conference, unnumbered, June 2006.

  53. Sreedevi Chandrasekaran and Dean F. Hougen.   "Trade-Offs in Cooperative Goal Seek using Nano-Devices."   Technical Proceedings of the 2006 Nano Science and Technology Institute Nanotechnology Conference, Volume 3, Chapter 4: Sensors and Systems, pages 495-498, May 2006.

  54. Sreedevi Chandrasekaran and Dean F. Hougen.   "Swarm Intelligence for Cooperation of Bio-Nano Robots using Quorum Sensing."   Second American Society for Microbiology/IEEE Engineering in Medicine and Biology Society Conference on Bio, Micro and Nanosystems, pages 15-18, January 2006.

  55. Pedro A. Diaz-Gomez and Dean F. Hougen.   "Analysis and Mathematical Justification of a Fitness Function used in an Intrusion Detection System."   Genetic and Evolutionary Computation Conference, pages 1591-1592, June 2005.

  56. Pedro A. Diaz-Gomez and Dean F. Hougen.   "Improved Off-line Intrusion Detection using a Genetic Algorithm."   Proceedings of the Seventh International Conference on Enterprise Information Systems, pages 66-73, May 2005.

  57. Pedro A. Diaz-Gomez and Dean F. Hougen.   "Analysis of an Off-Line Intrusion Detection System: A Case Study in Multi-Objective Genetic Algorithms."   Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, pages 822-823, May 2005.

  58. Pedro A. Diaz-Gomez and Dean F. Hougen.   "Further Analysis of an Off-Line Intrusion Detection System: An Expanded Case Study in Multi-Objective Genetic Algorithms."   South Central Information Security Symposium, unnumbered, April 2005.

  59. Seshadri Commuri, Rafael Fierro, Dean F. Hougen, and R. Muthuraman.   "System Intelligence Requires Distributed Learning."   IEEE International Symposium on Intelligent Control, pages 67-72, September 2004.

  60. Sesh Commuri, Yushan Li, Dean F. Hougen, and Rafael Fierro.   "Evaluating Intelligence in Unmanned Ground Vehicle Teams."   Performance Metrics for Intelligent Systems Workshop, unnumbered, August 2004.

  61. Sesh Commuri, Yushan Li, Dean F. Hougen, and Rafael Fierro.   "Designing For System Intelligence: A Case Study."   Proceedings of the 5th International Federation of Automatic Control Symposium on Intelligent Autonomous Vehicles, July 2004.

  62. Brent E. Eskridge and Dean F. Hougen.   "Memetic Crossover for Genetic Programming: Evolution through Imitation."   Genetic and Evolutionary Computation Conference, pages 809-815, June 2004.

  63. Brent E. Eskridge and Dean F. Hougen.   "Imitating Success: Memetic Crossover for Genetic Programming."   Congress on Evolutionary Computation, pages 459-470, June 2004.

  64. Rafael Fierro, Justin Clark, José Sánchez, Kenny Walling, Martin Leuschen, Sesh Commuri, and Dean Hougen.   "A Low-Cost Modular Multi-Vehicle Experimental Testbed for Cooperative Control."   Second Annual Swarming: Network Enabled C4ISR Conference, unnumbered, June 2004.

  65. Dean F. Hougen.   "Learning with Holes: Pitfalls with Simulation in Learning Robot Control."   Machine Learning Technologies for Autonomous Space Applications Workshop of the International Conference on Machine Learning, August 2003.

  66. Dean F. Hougen, Joseph Carmer, and Mark Woehrer.   "Memetic Learning: A Novel Learning Method for Multi-Robot Systems."   International Workshop on Multi-Robot Systems, March 2003.

  67. Paul E. Rybski, Sascha A. Stoeter, Maria Gini, Dean F. Hougen, and Nikolaos Papanikolopoulos.   "A Distributed Surveillance Task using Multiple Miniature Robots."   The First International Joint Conference on Autonomous Agents and Multi-Agent Systems, pages 1393-1394, July 2002.

  68. Paul E. Rybski, Sascha A. Stoeter, Maria Gini, Dean F. Hougen, and Nikolaos Papanikolopoulos.   "Effects of Limited Bandwidth Communications Channels of the Control of Multiple Robots."   Proceedings of the IEEE International Conference on Intelligent Robots and Systems, 369-374, October 2001.

  69. Paul Rybski, Sascha Stoeter, Maria Gini, Dean Hougen, and Nikolaos Papanikolopoulos.   "Performance of a Distributed Robotic System Using Shared Communications Channels."   Proceedings of SPIE Photonics Boston, October 2001.

  70. Paul E. Rybski, Ian Burt, Tom Dahlin, Maria Gini, Dean F. Hougen, Donald G. Krantz, Florent Nageotte, Nikolaos Papanikolopoulos, and Sascha A. Stoeter.   "System Architecture for Versatile Autonomous and Teleoperated Control of Multiple Miniature Robots."   Proceedings of the IEEE International Conference on Robotics and Automation, 2917-2922, May 2001.

  71. Paul E. Rybski, Sascha A. Stoeter, Maria Gini, Dean F. Hougen, and Nikolaos Papanikolopoulos.   "Dynamic Scheduling of a Fixed Bandwidth Communications Channel for Controlling Multiple Robots."   Proceedings of the Fifth International Conference on Autonomous Agents, May 2001

  72. Sascha A. Stoeter, Nikolaos P. Papanikolopoulos, Paul E. Rybski, Donald G. Krantz, Kemal B. Yesin, Maria Gini, Dean F. Hougen, Florent Nageotte, and Brad Nelson.   "User Interfaces for a Robotic Distributed System."   Proceedings of the Second Biomorphic Explorers Workshop: Bio-Inspired Engineering of Exploration Systems, December 2000.

  73. Sascha A. Stoeter, Paul E. Rybski, Maria Gini, Dean F. Hougen, and Nikolaos P. Papanikolopoulos.   "Verteilte Steuerung Heterogener Mobiler Roboter."   16. Fachgespraech Autonome Mobile Systeme, pages 270-277, November 2000.

  74. John Budenske, Jordan Bonney, Atiq Ahamad, Ranga Ramanujan, Dean F. Hougen, and Nikolaos Papanikolopoulos.   "Nomadic Routing Applications for Wireless Networking in a Team of Miniature Robots."   IEEE International Conference on Systems, Man, and Cybernetics, pages 3306-3311, October 2000.

  75. Paul E. Rybski, Dean F. Hougen, Sascha A. Stoeter, Maria Gini, and Nikolaos Papanikolopoulos.   "Control of Multiple Small Surveillance Robots at AAAI 2000."   Proceedings of the AAAI 2000 Mobile Robot Competition and Exhibition Workshop, August 2000.

  76. Nikolaos Papanikolopoulos, Sascha A. Stoeter, Paul Rybski, Maria Gini, Dean F. Hougen, and Michael Erickson.   "Experiments with a Team of Miniature Robots."   Proceedings of the IEEE Mediterranean Conference on Control and Automation, unnumbered, July 2000.

  77. Dean F. Hougen, Maria Gini, and James Slagle.   "An Integrated Connectionist Approach to Reinforcement Learning for Robotic Control: The Advantages of Indexed Partitioning."   The Seventeenth International Conference on Machine Learning, pages 383-390, June 2000.

  78. Paul E. Rybski, Sascha A. Stoeter, Michael D. Erickson, Maria Gini, Dean F. Hougen, and Nikolaos Papanikolopoulos.   "A Team of Robotic Agents for Surveillance."   Proceedings of the International Conference on Autonomous Agents, pages 9-16, June 2000.

  79. Dean F. Hougen, Saifallah Benjaafar, Jordan C. Bonney, John R. Budenske, Mark Dvorak, Maria Gini, Donald G. Krantz, Perry Y. Li, Fred Malver, Brad Nelson, Nikolaos Papanikolopoulos, Paul E. Rybski, Sascha A. Stoeter, Richard Voyles, and Kemal Berk Yesin.   "A Miniature Robotic System for Reconnaissance and Surveillance."   Proceedings of the IEEE International Conference on Robotics and Automation, pages 501-507, April 2000.

  80. Dean F. Hougen, Jordan C. Bonney, John R. Budenske, Mark Dvorak, Maria Gini, Donald G. Krantz, Fred Malver, Brad Nelson, Nikolaos Papanikolopoulos, Paul E. Rybski, Sascha A. Stoeter, Richard Voyles, and Kemal Berk Yesin.   "Reconfigurable Robots for Distributed Robotics."   Government Microcircuit Applications Conference, pages 72-75, March 2000.

  81. Dean F. Hougen, Paul E. Rybski, and Maria Gini.   "Repeatability of Real World Training Experiments: A Case Study."   AAAI Spring Symposium on Integrating Robotics Research: Taking the Next Leap, unnumbered, March 1998.

  82. Dean F. Hougen, Maria Gini, and James Slagle.   "Partitioning Input Space for Reinforcement Learning for Control."   In Proceedings of the IEEE International Conference on Neural Networks, pages 755-760, June 1997.

  83. Dean F. Hougen, Maria Gini, and James Slagle.   "Rapid, Unsupervised Connectionist Learning for Backing a Robot with Two Trailers."   Proceedings of the IEEE International Conference on Robotics and Automation, pages 2950-2955, April 1997.

  84. Dean F. Hougen, John Fischer, Maria Gini, and James Slagle.   "Fast Connectionist Learning for Trailer Backing using a Real Robot."   Proceedings of the IEEE International Conference on Robotics and Automation, pages 1917-1922, April 1996.

  85. Dean Hougen, John Fischer, and Deva Johnam.   "A Neural Network Pole-Balancer that Learns and Operates on a Real Robot in Real Time."   Proceedings of the Machine-Learning Conference-Conference on Learning Theory, Workshop on Robot Learning, pages 73-80, 1994.

  86. Pierre Robert and Dean Hougen.   "SOIL7: Soil Information Module for the EPPL7 GIS."   Minnesota GIS/LIS Consortium, 1994 Fourth Annual Conference and Workshops, page 34, 1994.

  87. Dean Hougen.   "Use of an Eligibility Trace of Self-Organize Output."   Science of Artificial Neural Networks II, Proceedings of SPIE 1966, pages 436-447, 1993.

  • Refereed Presentations

  1. Kimberly S. Hester, Issac C. Robledo, Jamie D. Barrett, David R. Peterson, Dean F. Hougen, Eric A. Day, and Michael D. Mumford.   "Causal Analysis to Enhance Creative Problem-Solving: Performance and Effects on Mental Models."   Annual Convention of the American Psychological Association, Washington, D.C., August 4-7, 2011.

  2. David R. Peterson, Issac C. Robledo, Jamie D. Barrett, Kimberly S. Hester, Dean F. Hougen, Eric A. Day, and Michael D. Mumford.   "Constraint Analysis, Mental Models, and Creativity."   Annual Convention of the American Psychological Association, Washington, D.C., August 4-7, 2011.

  3. Issac C. Robledo, Kimberly S. Hester, David R. Peterson, Jamie D. Barrett, Eric A. Day, Dean F. Hougen, Michael D. Mumford.   "Errors and Understanding: The Effects of Error Management Training on Creative Problem-Solving."   Annual Convention of the American Psychological Association, Washington, D.C., August 4-7, 2011.

  4. Jamie D. Barrett, Michael D. Mumford, Kimberly S. Hester, Issac C. Robledo, David R. Peterson, Eric A. Day, and Dean F. Hougen.   "Mental Models and Creative Problem-Solving: The Relationship of Objective and Subjective Model Attributes."   Annual Convention of the American Psychological Association, Washington, D.C., August 4-7, 2011.

  5. Dean F. Hougen, Sascha A. Stoeter, Paul E. Rybski, Michael D. Erickson, Maria Gini, and Nikolaos Papanikolopoulos.   "Behavioral Decomposition of Robotic Exploratory Missions."   International Conference for Smart Systems and Robotics for Medicine and Space Applications, Houston, Texas, September 6, 2000.

  6. Dean F. Hougen and Maria Gini.   "The Assessment of Student Writing in Computer Science Classrooms."   Fiftieth Annual Convention, Conference on College Composition and Communication, Workshop: Visible Results in WAC: Assessing Students and Programs, Atlanta, Georgia, March 24, 1999.

  7. Dean F. Hougen, Paul Rybski, Maria Gini and James Slagle.   "TBMin2: Trailer-Backing Mini-Robot 2."   Fourteenth National Conference on Artificial Intelligence, Providence, Rhode Island, Poster Session, July 27-31, 1997.

  • Refereed Videos

  1. Brad Kratochvil, Ian Burt, Tom Dahlin, Andrew Drenner, Maria Gini, Dean Hougen, Colin P. McMillen, Bradley Nelson, Nikolaos Papanikolopoulos, Paul E. Rybski, Sascha A. Stoeter, Kristen Stubbs, David Waletzko, and Kemal Berk Yesin.  A New Generation of Scout Robots with Multiple Mobility Modes. Video Proceedings, IEEE International Conference on Robotics and Automation, May 2002.

  2. Brad Kratochvil, Ian Burt, Tom Dahlin, Andrew Drenner, Maria Gini, Dean Hougen, Colin P. McMillen, Bradley Nelson, Nikolaos Papanikolopoulos, Paul E. Rybski, Sascha A. Stoeter, Kristen Stubbs, David Waletzko, and Kemal Berk Yesin.  A New Generation of Scout Robots with Enhanced Sensing and Mobility.  Video Proceedings of the SPIE International Symposium on Aerospace/Defense Sensing, Simulation, and Controls, April 2002.

  3. Paul E. Rybski, Dean F. Hougen, Saifallah Benjaafar, Jordan Bonney, John R. Budenske, Mark Dvorak, Maria Gini, Howard French, Donald G. Krantz, Perry Y. Li, Fred Malver, Bradley Nelson, Nikolaos Papanikolopoulos, Sascha A. Stoeter, Richard Voyles and Kemal Berk Yesin.   "A Robotic Reconnaissance and Surveillance Team."   Video Proceedings, IEEE International Conference on Robotics and Automation, April 2000.

  4. Dean F. Hougen, Paul Rybski, Maria Gini, and James Slagle.   "TBMin2: The Second Generation of Trailer-Backing Mini-Robots at the University of Minnesota."   Fourteenth National Conference on Artificial Intelligence, Providence, Rhode Island, Video Session, July 27-31, 1997.

  5. John Fischer, Dean F. Hougen, Maria Gini, and James Slagle.   "Connectionist Control of Mini-Robots."   Video Proceedings, IEEE International Conference on Robotics and Automation, April 1996.

  • Research Reports

  1. Dean F. Hougen.  Mobile Robots for Port Security.  Center for Infrastructure Protection and Hardening (CIPHER), University of Oklahoma, 2007.

  2. Vykinta Kligyte, Rich T. Marcy, Sydney T. Sevier, Elaine S. Godfrey, Merideth G. Beaton, Michael D. Mumford, Morris W. Foster, and Dean F. Hougen.  Development and Evaluation of a Work Practices Approach for Ethics Education in Science and Engineering.   Center for Applied Social Research, University of Oklahoma, prepared for the National Science Foundation, 2007.

  3. Vykinta Kligyte, Rich T. Marcy, Sydney T. Sevier, Elaine S. Godfrey, Michael D. Mumford, Morris W. Foster, and Dean F. Hougen.   Multi-Level Organizational Climate Report.   Center for Applied Social Research, University of Oklahoma, prepared for the National Science Foundation, 2006.

  4. Sridhar Radhakrishnan, Dean F. Hougen, and Rafael Fierro.   24/7 Remote Monitoring of Work Zones and Intelligent Decision Support System for the Safety of Motorists and Highway Construction Workers.   Oklahoma Transportation Center, 2002.

  5. Paul E. Rybski, Sascha A. Stoeter, Maria Gini, Dean F. Hougen, and Nikolaos Papanikolopoulos.   Performance of a Distributed Robotic System Using Shared Communications Channels.   Technical Report 01-031, Department of Computer Science and Engineering, University of Minnesota, 2001.

  6. Dean F. Hougen and Maria Gini.   Writing for Computer Science Students.   The Center for Interdisciplinary Studies of Writing, University of Minnesota, 1997.

  • Student Publications and Presentations Supervised (Most Refereed) [This list is no longer updated.]

  1. Sam Bleckley, Juan Herrera and Lawrence Kincheloe.    "Asterias: A Study in Human Robotic Interaction."    Student Research and Performance Day,    Honors College, University of Oklahoma, March 2008.

  2. Correy A. Kowall and Brian J. Krent.    "A Simulation of Evolved Autotrophic Reproduction."    Genetic and Evolutionary Computation Conference, pages 2781-2786, July 2007. (Refereed)

  3. Dennis Ferron, Warren Moseley, and Dean F. Hougen.    "Development of a Control System for Ground-Based Mobile Robots."    Oklahoma Research Day, April 2007. (Abstract and Poster)

  4. Gerardo Gonzalez and Dean F. Hougen.    "Variable Mutation Rates and Genetic Resilience in Evolutionary Computation."    Oklahoma Research Day, April 2007. (Abstract and Poster)

  5. Nathaniel Troutman, Brent Eskridge, and Dean F. Hougen.    "Evolving Artificial Neural Networks with Genetic Algorithms to Play Tic-Tac-Toe."    Oklahoma Research Day, April 2007. (Abstract and Poster)

  6. Lawrence Kincheloe and Dean F. Hougen.    "Robotics Testbed."   Undergraduate Research Day, Honors College, University of Oklahoma, March 2007.

  7. Pedro A. Diaz-Gomez and Dean F. Hougen.    "Choosing Characteristics for Binary Genetic Algorithms."    The Twenty-First National Conference on Artificial Intelligence, Doctoral Consortium, July 2006. (Refereed)

  8. Jason M. Black and Dean F. Hougen.      "A Benchmark for Cooperative Learning Agents."      The Twenty-First National Conference on Artificial Intelligence, Student Poster Session, pages 1855-1856, July 2006. (Refereed)

  9. Jason M. Black with Dean F. Hougen.    "Towards a Cooperative Machine Learning Simulator."   Journal of Computing Sciences in Colleges, 21(6): 273-274, June 2006. Student Poster Abstract from Consortium for Computing Sciences in Colleges Northeastern Conference, April 2006. (Refereed)

  10. Lawrence Kincheloe and Dean F. Hougen.    "Robotics Testbed."   Second Annual Computer Science Research Conference, University of Oklahoma Computer Science Graduate Student Association, April 2006. (Refereed)

  11. Pedro A. Diaz-Gomez and Dean F. Hougen.    "Pseudo-Random Generation of the Initial Population in Genetic Algorithms: An Experiment."   Second Annual Computer Science Research Conference, University of Oklahoma Computer Science Graduate Student Association, April 2006. (Refereed)

  12. Brent E. Eskridge and Dean F. Hougen.    "Prioritizing Behaviors in a Fuzzy Behavior Hierarchy."   Second Annual Computer Science Research Conference, University of Oklahoma Computer Science Graduate Student Association, April 2006. (Refereed)

  13. Pedro A. Diaz-Gomez and Dean F. Hougen.    "A Case Study in Genetic Algorithms Applied to Off-line Intrusion Detection Systems."   First Annual Computer Science Research Conference, University of Oklahoma Computer Science Graduate Student Association and Association of Computing Machinery---University of Oklahoma Student Chapter, April 2005. (Refereed)

  14. Josh Beitelspacher with Dean F. Hougen.    "Global Localization with Computer Vision."   Undergraduate Research Day, Honors College, University of Oklahoma, April 2005.

  15. Roy Roring with Dean F. Hougen.    "An Investigation of the Human-Like Qualities of a Chess Playing Algorithm Based on Reinforcement Learning Methods."   Undergraduate Research Day, Honors College, University of Oklahoma, April 2003.

  • Unpublished Talks (Not Refereed) [This list is no longer updated.]

  1. Dean F. Hougen.    "AIR and REAL."    Stephenson Research and Technology Center, University of Oklahoma, Interdisciplinary Mini-Symposium, February 23, 2007.

  2. Dean F. Hougen.    "Robotics, Evolution, Adaptation, Learning and Research Experiences for Undergraduates."    Southwestern Oklahoma State University Computer Science Club Meeting, September 26, 2006.

  3. Dean F. Hougen.    "Oklahoma AIR: Artificial Intelligence Research."    Dexterous Robotics Laboratory, Johnson Space Center, National Aeronautics and Space Administration, Seminar, May 23, 2006.

  4. Dean F. Hougen.   "Robotics and Machine Learning Research at OU."   Student Chapter, Association for Computing Machinery, School of Computer Science, University of Oklahoma, Seminar, February 23, 2006.

  5. Dean F. Hougen.   "Learning to Predict for Robot Control."   Interdisciplinary Prediction Engineering Center Proposal Workshop, College of Engineering, University of Oklahoma, November 29, 2006.

  6. Dean F. Hougen.   "Learning with Holes."   Research Experiences for Undergraduates Site on Embedded Machine Learning Systems, Seminar, October 31, 2005.

  7. Dean F. Hougen.   "How to Give a Good Technical Presentation."   Research Experiences for Undergraduates Site on Embedded Machine Learning Systems, Seminar, September 19, 2005.

  8. Dean F. Hougen, Pedro A. Diaz-Gomez, Brent E. Eskridge.   "Evolutionary Computation."   Research Experiences for Undergraduates Site on Embedded Machine Learning Systems, Seminar, July 19, 2005.

  9. Dean F. Hougen.   "Robotics, Evolution, Adaptation, and Learning Laboratory (REAL Lab) Overview."   Research Experiences for Undergraduates Site on Embedded Machine Learning Systems, Seminar, June 15, 2005.

  10. Dean F. Hougen.   "The Robotics, Evolution, Adaptation, and Learning Laboratory (REAL Lab)."   Stephenson Research and Technology Center Colloquium, University of Oklahoma, March 21, 2005.

  11. Dean F. Hougen.   "Robotic Intelligence and Machine Learning."   School of Computer Science, University of Oklahoma, September 13, 2004.

  12. Dean F. Hougen.   "Robotic Intelligence."   Research Experiences for Undergraduates Site on Human Technology Interaction, University of Oklahoma, Seminar, August 24, 2004.

  13. Dean F. Hougen.   "Memetic Learning."   Department of Computer Science and Engineering, University of Minnesota, Robotics Seminar, April 2, 2004.

  14. Dean F. Hougen   "Robotic Intelligence and Machine Learning"   Computer Science Graduate Student Association, School of Computer Science, University of Oklahoma, Seminar, March 26, 2004.

  15. Dean F. Hougen.   "Learning in Robotics."   Adaptation and Learning at All Levels in Intelligent Robot Teams for Reconnaissance, Surveillance, and Battlefield Assessment, Graduate Seminar, November 7, 2003.

  16. Dean F. Hougen, Sesh Commuri, and Rafael Fierro.   "Design and Development of Intelligent Mobile Robot Teams."   Adaptation and Learning at All Levels in Intelligent Robot Teams for Reconnaissance, Surveillance, and Battlefield Assessment, Graduate Seminar, November 7, 2003.

  17. Dean F. Hougen.   "Using the Intelligent Manufacturing Systems Laboratory for Feedback-Intensive Applications."   Intelligent Manufacturing Systems Laboratory Seminar, College of Engineering, University of Oklahoma, October 24, 2003.

  18. Dean F. Hougen.   "Robotic Intelligence and Machine Learning."   Facultad de Ingeniería de Sistemas, Universidad el Bosque, Bogota, Columbia, Seminar, September 4, 2003.

  19. Dean F. Hougen, Roy Roring, and Joseph Carmer.   "Robotic Intelligence and Machine Learning."   Board of Visitors Meeting, School of Computer Science, University of Oklahoma, April 18, 2003.

  20. Dean F. Hougen.   "Intelligent Robotics."   Research Experiences for Undergraduates Site on Human Technology Interaction, University of Oklahoma, Seminar, June 21, 2002.

  21. Dean F. Hougen.   "Distributed Robotics Research at the University of Minnesota."   University of Oklahoma Robotics Club, Meeting, October 24, 2001.

  22. Dean F. Hougen.   "Behaviors in a Distributed Brain."   The Center for Cognitive Sciences, University of Minnesota, Proseminar, November 3, 2000.

  23. Dean F. Hougen.   "Learning Sensory-Motor Maps: Reinforcement Learning, Connectionism, and Robotics."   Cognitive Science Colloquium, Augsberg College, September 29, 2000.

  24. Dean F. Hougen, Nikolaos P. Papanikolopoulos, Sarbjit Singh, and Martin Eriksson.   "Detecting Driver Fatigue Through the Use of Advanced Face Monitoring Techniques."   Intelligent Transportation System Institute, University of Minnesota, Annual Research Program Review, August 10, 2000.

  25. Maria Gini and Dean F. Hougen.   "A Connectionist Approach to Reinforcement Learning for Robotic Control: The Advantages of Indexed Partitioning."   Computational Learning Laboratory, Center for the Study of Language and Information, Stanford University, Seminar on Computational Learning and Adaptation, May 18, 2000.

  26. Dean F. Hougen.   "Connectionist Reinforcement Learning for Control of Robotic Systems."   Department of Computer Science and Engineering, University of Minnesota, Colloquium, October 12, 1998.

  27. Dean F. Hougen.   "Connectionist Reinforcement Learning for Control of Mini-Robotic Systems."   The Center for Cognitive Sciences, University of Minnesota, Proseminar, May 15, 1997.

  28. Maria Gini and Dean F. Hougen.   "Fast Connectionist Learning for Trailer Backing using a Real Robot."   The Center for Research in Learning, Perception, and Cognition, University of Minnesota, Colloquium, January 25, 1996.

  • Discussion Panels (Not Refereed)

  1. Graduate School in Computer Science, Oklahoma Computing Conference, Computing Research Association Committee on the Status of Women in Computing, September 15, 2006.

  2. Technical Writing for Theses and Dissertations, Second Annual Computer Science Research Conference, Computer Science Graduate Student Association, School of Computer Science, University of Oklahoma, April 1, 2006.

  3. Preparing for Graduate School, Research Experience Symposium 2005, Research Experiences for Undergraduates Site: Embedded Machine Learning Systems, University of Oklahoma, October 15, 2005.

  4. Learning in Multi-Robot Systems, International Workshop on Multi-Robot Systems, Naval Research Laboratory, March 18, 2003.

  • Informal Presentations (Not Refereed) [This list is no longer updated.]

  1. Artificial Intelligence Research Superlab Tours for Junior Reserve Officers Training Corps Cadets, May 25, July 25, and July 26, 2006.   Director, Artificial Intelligence Research Superlab, Stephenson Research and Technology Center, University of Oklahoma.

  2. Artificial Intelligence Research Superlab Virtual Field Trip, K20Connections, K20 Center for Education and Community Renewal, University of Oklahoma, January 27, 2006.   Director, Artificial Intelligence Research Superlab, Stephenson Research and Technology Center, University of Oklahoma.

  3. Artificial Intelligence Research Superlab VIP Tour, College of Engineering, University of Oklahoma, November 12, 2005.   Director, Artificial Intelligence Research Superlab, Stephenson Research and Technology Center, University of Oklahoma.

  4. Artificial Intelligence and Robotics Research Overview, School of Computer Science, University of Oklahoma, September 26 and October 24, 2005.   Assistant Professor, School of Computer Science, University of Oklahoma.

  5. Artificial Intelligence Research Superlab Audio Tour, College Connection, Oklahoma State Regents for Higher Education, July 30, 2005.   Director, Artificial Intelligence Research Superlab, Stephenson Research and Technology Center, University of Oklahoma.

  6. Artificial Intelligence Research Superlab Tours for Junior Reserve Officers Training Corps Cadets, July 19, July 20, and August 3, 2005.   Director, Artificial Intelligence Research Superlab, Stephenson Research and Technology Center, University of Oklahoma.

  7. Artificial Intelligence Research Superlab Virtual Field Trip, K20Connections, K20 Center for Education and Community Renewal, University of Oklahoma, June 13, 2005.   Director, Artificial Intelligence Research Superlab, Stephenson Research and Technology Center, University of Oklahoma.

  8. Robotics and Intelligent Systems in Computer Science at the University of Oklahoma, Oklahoma Engineering Fair, February 23, 2005.   Assistant Professor, School of Computer Science, University of Oklahoma.

  9. Artificial Intelligence Research Superlab VIP Tour, College of Engineering, University of Oklahoma, February 17, 2005.   Director, Artificial Intelligence Research Superlab, Stephenson Research and Technology Center, University of Oklahoma.

  10. Robotics and Artificial Intelligence Research in Computer Science, College of Engineering Open House, November 5, 2004.   Director, Robotics, Evolution, Adaptation, and Learning Laboratory, School of Computer Science, University of Oklahoma.

  11. Artificial Intelligence Research Superlab Technical and Facility Tour, College of Engineering General Faculty Meeting, College of Engineering, University of Oklahoma, October 29, 2004.   Director, Artificial Intelligence Research Superlab, Stephenson Research and Technology Center, University of Oklahoma.

  12. Artificial Intelligence Research Superlab Overview, College of Engineering Board of Visitors Reception, College of Engineering, University of Oklahoma, September 30, 2004.   Director, Artificial Intelligence Research Superlab, Stephenson Research and Technology Center, University of Oklahoma.

  13. Robot Research Presentation, IT Week Tour, Institute of Technology, University of Minnesota, April 11, 2001.   Assistant Professor, Department of Computer Science and Engineering, University of Minnesota.

  14. Biomorphic Explorer Demonstration, The Second Biomorphic Explorers Workshop: Bio-Inspired Engineering of Exploration Systems, December 4, 2000.  Associate Director, Center for Distributed Robotics, Department of Computer Science and Engineering, University of Minnesota.

  15. Robot Capability Demonstration, Distributed Robotics PI Conference 2000, Arlington, Virginia, October 17, 2000.   Associate Director, Center for Distributed Robotics, Department of Computer Science and Engineering, University of Minnesota.

  16. Robot Exhibition, The Fifth International Symposium on Distributed Autonomous Robotics Systems, Knoxville, Tennessee, October 4, 2000.   Associate Director, Center for Distributed Robotics, Department of Computer Science and Engineering, University of Minnesota.

  17. Robot Exhibition, International Conference for Smart Systems and Robotics for Medicine and Space Applications, Houston, Texas, September 6, 2000.   Associate Director, Center for Distributed Robotics, Department of Computer Science and Engineering, University of Minnesota.

  18. Sesquicentennial Celebration, University of Minnesota, Minnesota State Fair, Saint Paul, Minnesota, August 24, 2000.   Associate Director, Center for Distributed Robotics, Department of Computer Science and Engineering, University of Minnesota.

  19. AAAI Robot Competition and Exhibition, Seventeenth National Conference on Artificial Intelligence, Austin, Texas, July 30-August 2, 2000.   Associate Director, Center for Distributed Robotics, Department of Computer Science and Engineering, University of Minnesota.

  20. Science Day Exhibition, Science Day 2000, The Science Coalition, Washington, D.C., July 12, 2000.   Associate Director, Center for Distributed Robotics, Department of Computer Science and Engineering, University of Minnesota.

  21. Technology Exhibition, Discover Magazine Awards for Technological Innovation, Epcot, Orlando, Florida, June 22-24, 2000.   Associate Director, Center for Distributed Robotics, Department of Computer Science and Engineering, University of Minnesota.

  22. University Technology, Campaign Minnesota, President's Club, University of Minnesota, Minneapolis, Minnesota, June 12, 2000.   Associate Director, Center for Distributed Robotics, Department of Computer Science and Engineering, University of Minnesota.

  23. Scout Robot Exhibition, International Conference on Robotics and Automation, San Francisco, California, April 25-28, 2000.   Associate Director, Center for Distributed Robotics, Department of Computer Science and Engineering, University of Minnesota.

  24. Scout Robot Demonstration, Science Fest 2000, Bell Museum of Natural History, Minneapolis, Minnesota, March 4, 2000.   Associate Director, Center for Distributed Robotics, Department of Computer Science and Engineering, University of Minnesota.

  25. Robotics Research Presentation, House Committee on Higher Education, Minnesota State House, Saint Paul, Minnesota, February 2, 2000.   Associate Director, Center for Distributed Robotics, Department of Computer Science and Engineering, University of Minnesota.

  26. Robot Capability Demonstration and Testing, Distributed Robotics PI Conference 1999, Quantico, Virginia, September 14, 1999.   Associate Director, Center for Distributed Robotics, Department of Computer Science and Engineering, University of Minnesota.

  27. Robot Demonstration, Workshop on Robot Learning, Machine Learning Conference-Conference on Learning Theory, Newark, New Jersey, 1994.    Team Leader, Artificial Intelligence, Robotics, and Vision Laboratory, Department of Computer Science and Engineering, University of Minnesota.

  28. AAAI Robot Competition and Exhibition, Eleventh National Conference on Artificial Intelligence, Seattle, Washington, 1994.    Team Leader, Artificial Intelligence, Robotics, and Vision Laboratory, Department of Computer Science and Engineering, University of Minnesota.

Teaching

  • Courses Introduced

  1. Artificial Neural Networks and Evolution (Graduate).

  2. Device Programming (Graduate/Undergraduate).

  3. Evolutionary Computation (Graduate).

  4. Empirical Methods in Computer Science (Graduate).

  5. Introduction to C++ (Continuing Education).

  6. Introduction to Intelligent Robotics (Graduate/Undergraduate).

  7. Introduction to Java (Continuing Education).

  8. Introduction to Research in Computer Science (Graduate).

  9. Software Fundamentals of Computer Science (Graduate Preparation).

  10. Translation Between Java and C++ (Continuing Education).

  • Courses Taught

  1. Applied Logic for Hardware and Software (Undergraduate).

  2. Artificial Intelligence (Graduate/Undergraduate).

  3. Artificial Intelligence I (Graduate/Undergraduate).

  4. Artificial Intelligence II (Graduate/Undergraduate).

  5. Artificial Intelligence II, Writing Intensive (Graduate/Undergraduate).

  6. Artificial Neural Networks and Evolution (Graduate).

  7. Automata, Computability, and Formal Languages (Graduate).

  8. Data Structures (Undergraduate).

  9. Evolutionary Computation (Graduate).

  10. Freshman Engineering Experience (Undergraduate).

  11. Honors Reading (Undergraduate).

  12. Honors Research (Undergraduate).

  13. Independent Studies (Graduate/Undergraduate).

  14. Introduction to C++ (Continuing Education).

  15. Introduction to Intelligent Robotics (Graduate/Undergraduate)

  16. Introduction to Java (Continuing Education).

  17. Introduction to Operating Systems (Undergraduate).

  18. Introduction to Robotics (Undergraduate).

  19. Operating Systems Principles (Graduate).

  20. Programming Structures and Abstractions (Undergraduate).

  21. Programming Language Concepts (Undergraduate).

  22. Robotics (Graduate).

  23. Senior Reading and Research (Undergraduate).

  24. Software Fundamentals of Computer Science (Graduate Preparation).

  25. Structure of Computer Programming II (Undergraduate).

  26. Structure of Higher Level Languages (Graduate/Undergraduate).

  27. Systems Programming (Graduate/Undergraduate).

  28. Translation Between Java and C++ (Continuing Education).

  • Courses Facilitated

  1. Robotics: Artificial Intelligence Meets the Real World (Oklahoma Scholar-Leadership Enrichment Program Class taught by Illah Nourbakhsh)

Advising

  • Postdoctoral Scholars Advised

  1. Tèmítọ́pẹ́ Olúwaseun Ọlọ́runfẹ́mi, 2021-present.
    American Association of University Women International Postdoctoral Fellowship.

  • Doctoral Students Advised

  1. Debra Hogue, Computer Science, 2023-present.
    Co-Advisor: Chris Weaver.

  2. Lena Tannaz Trigg, Computer Science, 2022-present.

  3. Brandon Morgan, Computer Science, 2022-present.

  4. Zackary Hoyt, Computer Science, 2022-present.

  5. Shyam Sundar Murali Krishnan, Computer Science, 2020-present.

  6. Jalal Saidi, Computer Science, 2020-present.

  7. Shejuti Silvia, Computer Science, 2019-present.
    Co-Advisor: Mohammed Atiquzzaman.

  8. Lex Beattie, Data Science and Analytics, 2020-2023 (Graduated).
    Co-Advisor: Charles Nicholson.
    Dissertation Title: Sensitive Attribute Association Bias in Latent Factor Recommendation Algorithms: Theory and in Practice.
    Awardee: Gallogly College of Engineering Dissertation Excellence Award, 2023.

  9. Sai Kiran Reddy Maryada, Computer Science, 2018-2023 (Graduated).
    Dissertation Title: Application of Deep Learning To Optimize Computer-Aided-Detection and Diagnosis of Medical Images.
    Awardee: Gallogly College of Engineering Dissertation Excellence Award, 2022.

  10. Jasmine DeHart, Computer Science, 2019-2023 (Graduated).
    Dissertation Title: Visual Privacy Mitigation Strategies in Social Media Networks and Smart Environments.
    Awardee: Gallogly College of Engineering Dissertation Excellence Award, 2022.

  11. Sanjana Mudduluru, Computer Science, 2018-2023 (Graduated).
    Dissertation Title: Developing and Applying Hybrid Deep Learning Models for Computer-Aided Diagnosis of Medical Image Data.
    Awardee: Gallogly College of Engineering Dissertation Excellence Award, 2023.

  12. Sai Teja Kanneganti, Computer Science, 2018-2022 (Graduated).
    Dissertation Title: Informed, Interactive, and Interpretable Machine Learning for Forward Kinematics of Robot Arms.
    Co-Advisor: Jin-Song Pei.
    Awardee: Gallogly College of Engineering Dissertation Excellence Award, 2022.

  13. Joohee Suh, Computer Science, 2014-2017 (Graduated).
    Dissertation Title: The Context-Aware Learning Model.

  14. Ryan Ralston, Computer Science, 2010-2016 (Graduated).
    Dissertation Title: Translating Clojure to ACL2 for Verification.
    Co-Advisor: Rex Page.

  15. Benjamin P. Carlson, Computer Science, 2005-2016 (Graduated).
    Dissertation Title: Phenotype Operators for Improved Performance of Heuristic Encoding within Genetic Algorithms.
    Mr. and Mrs. W. O. Wethington Fellow, 2005, 2014.
    Patrick L. Foster Graduate Fellow, 2015-2016.

  16. Syed Naveed Hussain Shah, Computer Science, 2009-2015 (Graduated).
    Dissertation Title: Nurturing Promotes the Evolution of Learning in Changing Environments.

  17. Mark Woehrer, Computer Science, 2002-2011 (Graduated).
    Dissertation Title: Sexual Selection, Resource Distribution, and Genetic Drift in Simulated Ecological Speciation.
    Graduate Assistance in Areas of National Need (GAANN) Fellow, 2002-2004.

  18. Brent Eskridge, Computer Science, 2004-2009 (Graduated).
    Dissertation Title: Effects of State and Action Abstraction on Development of Controllers for Concurrent, Interfering, Non-Episodic Tasks.

  19. Pedro Diaz-Gomez, Computer Science, 2004-2007 (Graduated).
    Dissertation Title: Optimization of Parameters for Binary Genetic Algorithms.

  • Masters Students Advised

  1. Jacob Sturges, Data Science and Analytics, 2022-present.

  2. Jose E. Aguilar Escamilla, Computer Science, 2022-2023 (Graduated).
    Thesis Title: Graph Attention and Persistence for Traveling Salesman Problem.

  3. Francis Oyebanji, Data Science and Analytics, 2022 (Graduated).
    Thesis Title: Forecasting Landslide Events in Eastern Oklahoma and Western Arkansas Using Empirical and Statistical Machine Learning Methods.

  4. Brandon S. Morgan, Computer Science, 2022 (Graduated).
    Thesis Title: Efficient Neural Architecture Search using Genetic Algorithms.

  5. Bibi Dang, Computer Science, 2021-2022 (Graduated).
    Thesis Title: Deep Learning for Weak Target Detection in Range-Doppler Data.
    Co-Advisor: Justin Metcalf.

  6. Zackary Hoyt, Data Science and Analytics, 2021 (Graduated).
    Thesis Title: Development of Deep Learning Methodologies for Modeling Navigational Features in Continuous Spaces.

  7. Braiden Maggia, Computer Science, 2020-2021 (Graduated).
    Thesis Title: Video Outpainting Using Conditional Generative Adversarial Networks.

  8. Shyam Sundar Murali Krishnan, Computer Science, 2019-2020 (Graduated).
    Thesis Title: Reinforcement Learning for Continuous Control.

  9. Jalal Saidi, Data Science and Analytics, 2019-2020 (Graduated).
    Thesis Title: Comparison of Machine Learning and Statistical Approaches for Predicting Travel Times in the Oklahoma Highway System.
    Fulbright Scholar, 2018-2020.

  10. MG Hirsch, Computer Science, 2019-2020 (Graduated).
    Thesis Title: Evolving Spiking Neural Networks with NEAT.

  11. Robert Daro, Computer Science, 2019-2020 (Graduated).
    Thesis Title: Promoting Speciation through Variable Dominance in Genetic Algorithms.

  12. Gowtham Teja Kanneganti, Data Science and Analytics, 2019-2020 (Graduated).
    Thesis Title: Detection of Overshooting Cloud Tops with Convolutional Neural Networks.

  13. Lex Beattie, Data Science and Analytics, 2019 (Graduated).
    Thesis Title: Predicting Wine Quality and/or Taste through the use of a Latent ODE-RNN Neural Net.

  14. Jeremy Rand, Computer Science, 2015-2018 (Graduated).
    Thesis Title: Relevance and Privacy Improvements to the YaCy Decentralized Web Search Engine.

  15. Bryan Hoke, Computer Science, 2013-2017 (Graduated).
    Thesis Title: Nurturing as Safe Exploration Promotes the Evolution of Generalized Supervised Learning.

  16. Christopher Fenner, Computer Science, 2013-2014 (Graduated).
    Thesis Title: Artificial Neural Network-Assisted Heuristic Tree Search in Computer Dominion.

  17. Gerardo Gonzalez, Computer Science, 2007-2009 (Graduated).
    Theses Title: Elitism, Fitness, and Growth.

  18. Shawn McCarroll, Computer Science, 2007-2009 (Graduated).
    Thesis Title: Compression Strategies for Super Resolution WSR-88D Radar Data.
    Co-Advisor: Mark Yeary

  19. Cason Clagg, Electrical and Computer Engineering, 2006-2009 (Graduated).
    Thesis Title: Comparison of Topology and Weight Evolving Artificial Neural Networks by Evolving Two-Card Poker Agents.

  20. Josh Beitelspacher, Computer Science, 2005-2006 (Graduated).
    Thesis Title: Implicit Robot Localization Through Prediction.

  21. Sreedevi Chandrasekaran, Computer Science, 2005-2006 (Graduated).
    Thesis Title: Control of Bio-Nano Robots.

  22. Pedro Diaz-Gomez, Computer Science, 2003-2004 (Graduated).
    Thesis Title: Evolutionary Computation applied to Intrusion Detection.

  23. Brent Eskridge, Computer Science, 2003-2004 (Graduated).
    Thesis Title: Imitating Success in Genetic Programming with Memetic Crossover.

  • Doctoral Committee Memberships

  1. Shane Flandermeyer, Electrical and Computer Engineering, 2023-present.
    Advisor: Justin Metcalf.

  2. Hyejin Cho, Industrial and Systems Engineering, 2022-present.
    Advisor: Rhanda Shehab.

  3. Pantia-Marina Alchirch, Computer Science, 2022-present.
    Advisor: Dimitrios Diochnos.

  4. Parisa Masnadi Khiabani, Data Science and Analytics, 2022.
    Advisor: Golnaz Habibi.

  5. Aseel Basheer, Computer Science, 2022-present.
    Advisor: David Ebert.

  6. Geoffrey Dolinger, Electrical and Computer Engineering, 2022-present.
    Advisor: Justin Metcalf.

  7. Rachel Bennett, Data Science and Analytics, 2022-present.
    Advisor: Talayeh Razzaghi.

  8. Anas Amaireh, Electrical and Computer Engineering, 2022-present.
    Advisor: Yan "Rockee" Zhang.

  9. Tashfeen, Computer Science, 2022-present.
    Advisor: Qi Cheng.

  10. Alex Stringer, Electrical and Computer Engineering, 2021-present.
    Advisor: Justin Metcalf.

  11. Omkar Saiswaroop Varma Chekuri, Computer Science, 2020-present.
    Advisor: Chris Weaver.

  12. Paul Calle Contreras, Computer Science, 2020-present.
    Advisor: Chongle Pan.

  13. Edwin Yang, Computer Science, 2019-present.
    Advisor: Song Fang.

  14. Keerti Banweer, Computer Science, 2018-present.
    Advisor: Deborah Trytten.

  15. Yiting Cao, Computer Science, 2021-2023 (Graduated).
    Dissertation Title: Theory-Guided Algorithm Design for Scalable Machine Learning.
    Advisor: Chao Lan.

  16. Xiaomeng Dong, Data Science and Analytics, 2021-2022 (Graduated).
    Dissertation Title: Automatic Machine Learning in Optimization and Data Augmentation.
    Advisor: Theodore Trafalis.

  17. Debra Hogue, Computer Science, 2021-2022.
    Advisor: Ji Hwan Park. (Became My Advisee in 2023.)

  18. Adrien Badré, Computer Science, 2019-2023 (Graduated).
    Dissertation Title: Interpretable Deep Neural Networks for More Accurate Predictive Genomics and Genome-Wide Association Studies.
    Advisor: Chongle Pan.

  19. Mohammad Mukhtaruzzaman, Computer Science, 2018-2023 (Graduated).
    Dissertation Title: Stable Dynamic Feedback-Based Predictive Clustering Protocol for Vehicular Ad Hoc Networks.
    Advisor: Mohammed Atiquzzaman.

  20. Anirudh Paranjothi, Computer Science, 2018-2023 (Graduated).
    Dissertation Title: Misbehavior Aware On-Demand Intrusion Detection System to Enhance Security in VANETs with Efficient Rogue Nodes Detection and Prevention Techniques.
    Advisor: Mohammed Atiquzzaman.

  21. Chenguang "Shine" Xu, Computer Science, 2017-2023 (Graduated).
    Dissertation Title: Statistical Anomaly Discovery Through Visualization.
    Advisor: Christan Grant until 2022, Chris Weaver in 2023.

  22. Yan Liang, Computer Science, 2018-2022 (Graduated).
    Scaling up Labeling, Mining, and Inferencing on Event Extraction.
    Advisor: Christan Grant.

  23. Jasmine DeHart, Computer Science, 2018-2022.
    Advisor: Christan Grant. (Became My Advisee in 2023.)

  24. Junke Wang, Mechanical Engineering, 2017-2020 (Graduated).
    Dissertation Title: Design and Analysis of Building Thermal Model for Grid-Interactive Efficient Operations.
    Advisor: Li Song.

  25. Ying Zhang, Interdisciplinary, 2012-2019 (Graduated).
    Dissertation Title: Analysis of Space, Cognition, and Pedestrian Movement.
    Advisor: K. Meghan Wieters.

  26. Michael Nash, Aerospace and Mechanical Engineering, 2015-2018 (Graduated).
    Dissertation Title: Homogeneous Vessels as Active Elements for Measuring Pressure.
    Advisor: David Miller.

  27. Zachary L Jurgensen, Philosophy, 2009-2018 (Graduated).
    Dissertation Title: The Aesthetic Value of Videogames: An Analysis of Interactivity, Gameplay, and Player Performance.
    Advisor: Sherri Irvin.

  28. Husnu Narman, Computer Science, 2012-2016 (Graduated).
    Dissertation Title: Design and Development of Carrier Assignment and Packet Scheduling in LTE-A and Wi-Fi.
    Advisor: Mohammed Atiquzzaman.

  29. April Martin, Psychology, 2011-2014 (Graduated).
    Dissertation Title: HiMean: A HyGene Approach to Semantic Analysis in a Medical Decision-Making Task.
    Advisor: Rick Thomas.

  30. Emre Tokgoz, Industrial Engineering, 2011 (Graduated).
    Dissertation Title: Separation and Fenchel-Type Duality Theorems for Functions with Integer and Real Variables.
    Advisor: Hillel Kumin.

  31. Khondker Hasan, Computer Science, 2010-2014 (Graduated).
    Dissertation Title: Prediction Models for Estimating the Efficiency of Distributed Multi-Core Systems.
    Co-Advisors: John Antonio and Sridhar Radhakrishnan.

  32. Thomas Palmer, Computer Science, 2010-2015 (Graduated).
    Dissertation Title: Learning Action-State Representation Forests for Implicitly Relational Worlds.
    Advisor: Andrew Fagg.

  33. MD Shohrab Hossain, Computer Science, 2010-2012 (Graduated).
    Dissertation Title: Survivability, Scalability, and Security of Mobility Protocols.
    Advisor: Mohammed Atiquzzaman.

  34. Amber Walker, Aerospace Engineering, 2010-2013 (Graduated).
    Dissertation Title: Attitude Aware Smartphones for Tele-Operated Robot Control.
    Advisor: David Miller.

  35. Moshe Gutman, Computer Science, 2010-2012 (Graduated).
    Dissertation Title: Continuous and Adaptive Cartographic Generalization of River Networks.
    Advisor: Chris Weaver.

  36. Jamie Barrett, Psychology, 2010 (Graduated).
    Dissertation Title: Predicting Scientific Creativity: The Role of Adversity, Collaborations, and Work Strategies.
    Advisor: Michael Mumford.

  37. Yoe Antonio Herrera Jaramillo, Mathematics, 2009-2013 (Graduated).
    Dissertation Title: Intersection Numbers in a Hyperbolic Surface.
    Advisor: Kasra Rafi.

  38. Abu Zafar M. Shahriar, Computer Science, 2009-2012 (Graduated).
    Dissertation Title: Evaluation of Network Mobility Schemes for Terrestrial and Satellite Networks.
    Advisor: Mohammed Atiquzzaman.

  39. Matthew Bodenhamer, Computer Science, 2008-2014 (Graduated).
    Dissertation Title: Learning Relational Concepts with the Spatiotemporal Multidimensional Relational Framework.
    Advisor: Andrew Fagg.

  40. Emre Tokgoz, Mathematics, 2007-2011 (Graduated).
    Dissertation Title: Separation and Fenchel-Type Duality Theorems for Functions with Integer and Real Variables.
    Advisor: Kevin Grasse.

  41. Matthew J. Roman, Mechanical Engineering, 2005-2011 (Graduated).
    Dissertation Title: Effects of Perception Range on Mobile Robot Path Efficiency.
    Advisor: David Miller.

  42. Rich Marcy, Psychology, 2005-2008 (Graduated).
    Dissertation Title: Leader Cognition: Improving Leader Performance through Causal Analysis.
    Advisor: Michael Mumford.

  43. Jazmine Espejo, Psychology, 2004-2006 (Graduated).
    Dissertation Title: Is a Different Perspective Helpful? Assessing the Validity of Peer Ratings of Goal Orientation.
    Advisor: Eric Day.

  44. Kui Xie, Educational Psychology, 2004-2006 (Graduated).
    Dissertation Title: Scaffolding Online Peer Collaboration to Enhance Ill-Structured Problem Solving with Computer-Based Cognitive Support.
    Advisor: Amy Bradshaw.

  45. Shaojian Fu, Computer Science, 2003-2005 (Graduated).
    Dissertation Title: SIGMA: A Mobility Architecture for Terrestrial and Space Networks.
    Advisor: Mohammed Atiquzzaman.

  • Masters Committee Memberships

  1. Catherine Donner, Data Science and Analytics, 2022-present.
    Advisor: David Ebert.

  2. Changjae Kim, Data Science and Analytics, 2021-2022 (Graduated).
    Thesis Title: A Time-Aware LSTM Approach To Predict Tumor Size and Survival Month in Non-Small Cell Lung Cancer.
    Advisor: Talayeh Razzaghi.

  3. Shane Flandermeyer, Electrical and Computer Engineering, 2022-2023 (Graduated).
    Thesis Title: Reinforcement Learning for Cognitive Phased Array Radar Surveillance.
    Advisor: Justin Metcalf.

  4. Andrew Elaryan, Computer Science, 2021-2022 (Graduated).
    Thesis Title: Question-Answering for Segment Retrieval on Podcast Transcripts.
    Advisor: Christan Grant.

  5. Thomas Welborn, Data Science and Analytics, 2020-2021 (Graduated).
    Thesis Title: One-class Support Vector Machines Approach for Trust-Aware Recommendation Systems.
    Advisor: Talayeh Razzaghi.

  6. Rachel Bennettt, Data Science and Analytics, 2020-2021 (Graduated).
    Thesis Title: Designing Reliable Machine Learning Algorithms for Early Prediction of Preeclampsia.
    Advisor: Talayeh Razzaghi.

  7. Chyrine Tahri, Data Science and Analytics, 2019 (Graduated).
    Thesis Title: Reinforcement Learning Approach for Algorithmic Trading of Bitcoin.
    Advisor: Theodore Trafalis.

  8. Austin Graham, Computer Science, 2018-2019 (Graduated).
    Thesis Title: Applied Tucker Decomposition for Deep Neural Network Guidance.
    Advisor: Christan Grant.

  9. William Booker, Computer Science, 2018-2019 (Graduated).
    Thesis Title: Evaluating GAM-like Neural Network Architectures for Interpretable Machine Learning.
    Advisor: Amy McGovern.

  10. Khaled Jabr, Computer Science, 2018 (Graduated).
    Thesis Title: Using Novelty Seeking Reward Evolution Strategies to Train Generative Adversarial Networks.
    Advisor: Amy McGovern.

  11. Mathilde Collain, Computer Science, 2018 (Graduated).
    Thesis Title: "You don't have to be a white male who was learning how to program since he was five:" Computer Use and Interest from Childhood to a Computing Degree.
    Advisor: Deborah Trytten.

  12. Susana A. Rodriguez Coria, Computer Science, 2018 (Graduated).
    Thesis Title: Analysis of VANET Standard IEEE 1609.4 Mac Layer Multi-Channel Operations Using OMNeT++ and Veins.
    Advisor: Mohammed Atiquzzaman.

  13. David Rice, Computer Science, 2013-2015 (Graduated).
    Thesis Title: GenSynth: Collaboratively Evolving Novel Synthetic Musical Instruments on the Web.
    Advisor: Deborah Trytten.

  14. Morgan Robertson, Computer Science, 2013-2014 (Graduated).
    Thesis Title: Learning Ensembles of Linear Gaussian Networks with Spatial Data.
    Advisor: Amy McGovern.

  15. Mohammad Dibay Moghadam, Computer Science, 2013-2014 (Graduated).
    Thesis Title: (VeriVis) Effective Spam Verification using Highly Interactive Multi-Dimensional Visualization.
    Advisor: Chris Weaver.

  16. Thibault Lucidarme, Computer Science, 2013-2014 (Graduated).
    Thesis Title: Automatic Recognition of Supercells Thunderstorms in Numerical Weather Data.
    Advisor: Amy McGovern.

  17. Scott Hellman, Computer Science, 2012 (Graduated).
    Thesis Title: Learning Ensembled Dynamic Bayesian Networks.
    Advisor: Amy McGovern.

  18. Tristin Forbus, Computer Science, 2011-2012 (Graduated).
    Thesis Title: Using Evolutionary Algorithms to Generate Multi-View Visualization Layouts.
    Advisor: Chris Weaver.

  19. Zack Tidwell, Computer Science, 2011-2012 (Graduated).
    Thesis Title: Expert Move Prediction for Computer Go using Spatial Probability Trees.
    Advisor: Amy McGovern.

  20. Peter Reid, Computer Science, 2011 (Graduated).
    Thesis Title: Automatic Differentiation in ACL2.
    Advisor: Rex Page.

  21. Nathaniel Troutman, Computer Science, 2009-2010 (Graduated).
    Thesis Title: Enhanced Spatio-Temporal Relational Probability Trees and Forests.
    Advisor: Amy McGovern.

  22. Kiran Kafle, Computer Science, 2009-2011 (Graduated).
    Adaptive Art through Asymmetric Hebbian Learning.
    Advisor: Andrew Fagg.

  23. Matt Martin, Computer Science, 2009-2010 (Graduated).
    Deadlock Avoidance in Distributed Service-Oriented Architectures.
    Advisor: John Antonio.

  24. Gregorio Balandran, Electrical and Computer Engineering, 2009 (Graduated).
    Thesis Title: Intelligent Manufacturing Approach to Flexible Problem Solving.
    Advisor: Sesh Commuri.

  25. Ryan Ralston, Computer Science, 2008-2009 (Graduated).
    Thesis Title: An AVL Tree with Mathematically Verified Properties.
    Advisor: Rex Page.

  26. Esther Lo, Zoology, 2008-2012 (Graduated).
    Thesis Title: Neuromodulation in Artificial Systems.
    Advisor: Thomas Ray.

  27. Di Wang, Computer Science, 2007 (Graduated).
    Thesis Title: A 3D Feature-Based object Recognition System for Grasping.
    Advisor: Andrew Fagg.

  28. Malaykumar Patel, Computer Science, 2006-2007 (Graduated).
    Thesis Title: Modeling and Reconfiguration of Fault-Tolerant Satellite Formation Flying System.
    Advisor: Yifei Dong.

  29. Lee Sliger, Electrical and Computer Engineering, 2005-2006 (Graduated).
    Thesis Title: Framework for Designing and Implementing Hardware and Software Architectures with Dynamic Partial Reconfiguration to Produce Fault-Tolerant Embedded Systems.
    Advisor: Sesh Commuri.

  30. Matthew J. Roman, Mechanical Engineering, 2005 (Graduated).
    Thesis Title: Design and Analysis of a Four Wheeled Planetary Rover.
    Advisor: David Miller.

  31. Justin Beitelspacher, Computer Science, 2004 (Graduated).
    Thesis Title: Parallel Pseudorandom Number Generators.
    Advisor: Rex Page.

  32. Deji Fajebe, Electrical and Computer Engineering, 2003-2005 (Graduated).
    Thesis Title: A Software Methodology for Embedded Intelligent Systems.
    Advisor: Sesh Commuri.

  • Guidance

  1. Committee Member, Project Management Advisory Panel (PMAP) for Sooner Rover Team, Gallogly College of Engineering, University of Oklahoma, 2018-2021.

  2. Faculty Co-Chair, Software Studio, School of Computer Science, University of Oklahoma, 2018-2021.

  3. Undergraduate Research Coordinator, School of Computer Science, University of Oklahoma, 2018-2020.

  4. Honors College Liaison, School of Computer Science, University of Oklahoma, 2015-2020.

  5. Faculty Advisor, Technology, Free Speech, and Privacy Club, 2014-2017.

  6. Faculty Advisor, Lunch Buddi, Software Studio, School of Computer Science, University of Oklahoma, 2015-2016.

  7. Faculty Advisor, Radar Aeroecology, Software Studio, School of Computer Science, University of Oklahoma, 2014-2015.

  8. Faculty Advisor, Siren, Software Studio, School of Computer Science, University of Oklahoma, 2013-2015.

  9. Faculty Advisor, SadBoy, Software Studio, School of Computer Science, University of Oklahoma, 2013-2014.

  10. Chair, Programming Team, School of Computer Science, University of Oklahoma, 2012-2013.

  11. Co-Chair, Programming Team, School of Computer Science, University of Oklahoma, 2010-2012.

  12. Faculty Advisor, Student ACM Chapter, University of Oklahoma, 2007-2008.

  13. Co-Principal Investigator, Research Experiences for Undergraduates Site on Embedded Machine Learning Systems, University of Oklahoma, 2005-2013.

  14. Faculty Mentor, Research Experiences for Undergraduates Site on Human Technology Interaction, University of Oklahoma, 2002-2004.

  15. Faculty Advisor, Robotics Club, University of Oklahoma, 2001-2017.

  16. Research Mentor, Minority Undergraduate Research Program, Office of Multicultural and Academic Affairs, University of Minnesota, 2000.

  17. Faculty Advisor, Undergraduate Research Opportunities Program, University of Minnesota, 2000.

  18. Faculty Co-Advisor, Computer Science Club, Bridgewater State College, 1997-1998.

Professional Activities

  • Committees and Panels

  1. Member, Provost's Taskforce on Artificial Intelligence, University of Oklahoma, 2023-present.

  2. Co-Chair, Faculty Evaluation, Retention, and Advancement Committee, School of Computer Science, University of Oklahoma, 2022-present.

  3. Chair, Assessment Committee, School of Computer Science, University of Oklahoma, 2022-present.

  4. Member, Graduate Studies, Recruitment, Retention, and Graduation Committee, School of Computer Science, University of Oklahoma, 2022-present.

  5. Member, Teaching and Learning Technologies Advisory Committee, University of Oklahoma, 2022-present.

  6. Co-Chair, Faculty Recruitment Committee, School of Computer Science, University of Oklahoma, 2021-present.

  7. Member, Oklahoma City Air Logistics Complex/University of Oklahoma (OC-ALC/OU) Partnership Advisory Committee, University of Oklahoma, 2021-present.

  8. Member, Graduate Studies Committee, Data Science and Analytics Institute, University of Oklahoma, 2021-present.

  9. Senator Representing the Gallogly College of Engineering, Faculty Senate, University of Oklahoma, 2020-2025.

  10. Senator Ex-Officio Representing the Graduate College, Faculty Senate, University of Oklahoma, 2021-2023.

  11. Member, Tulsa Affairs Committee, School of Computer Science, University of Oklahoma, 2021-2023.

  12. Member, Travel and Research Subcommittee, Graduate Council, University of Oklahoma, 2021-2023.

  13. Graduate Council Representative, Gallogly College of Engineering, University of Oklahoma, 2020-2023.

  14. Member, Review Panel, National Science Foundation, 2022.

  15. Member, Course Equivalency Project (CEP) Faculty Curriculum Committee, Oklahoma State Regents for Higher Education, 2022.

  16. Member, Faculty Search Committee, School of Aerospace and Mechanical Engineering, University of Oklahoma, 2021-2022.

  17. Member, Faculty Search Committee, Department of Psychology, University of Oklahoma, 2021-2022.

  18. Co-Chair, Faculty Engagement Committee, School of Computer Science, University of Oklahoma, 2021-2022.

  19. Member, Non-Thesis Master's Programs Review Subcommittee, Graduate Council, University of Oklahoma, 2021-2022.

  20. Member, Interdisciplinary Ph.D. Program Subcommittee, Graduate Council, University of Oklahoma, 2021-2022.

  21. Member, Search Committee for Senior Associate Director for Inclusive Teaching, Center for Faculty Excellence, University of Oklahoma, 2021.

  22. Member, Faculty Search Committee, School of Computer Science, University of Oklahoma, 2020-2021.

  23. Member, Undergraduate Advising Committee, School of Computer Science, University of Oklahoma, 2012-2014, 2017-2021.

  24. Member, Graduate Studies Committee, School of Computer Science, University of Oklahoma, 2012-2014, 2016-2021.

  25. Member, International Student Services Advisory Board, University of Oklahoma, 2009-2021.

  26. Member, Review Panel, National Science Foundation, 2020.

  27. Appeals Board Chair, Graduate College Academic Appeals Board, University of Oklahoma, 2020.

  28. Member, Faculty Search Committee, School of Computer Science, University of Oklahoma, 2019-2020.

  29. Member, Postdoctoral Advisory Committee, University of Oklahoma, 2015-2020.

  30. Member, Course Equivalency Project (CEP) Faculty Curriculum Committee, Oklahoma State Regents for Higher Education, 2019.

  31. Member, Review Panel, National Science Foundation, 2019.

  32. Member, Faculty Search Committee, School of Computer Science, University of Oklahoma, 2018-2019.

  33. Member, Chief Information Officer Search Committee, University of Oklahoma, 2018-2019.

  34. Member, Site Review Panel, National Science Foundation, 2018.

  35. Member, Review Panel, National Science Foundation, 2018.

  36. Chair, Outstanding Senior Selection Committee, Gallogly College of Engineering, University of Oklahoma, 2018.

  37. Member, Graduate College Academic Appeals Board, University of Oklahoma, 2018.

  38. Member, Teaching Scholars Initiative (TSI) Award Committee, University of Oklahoma, 2018.

  39. Member, Passing Score Review Conference for the Certification Examinations for Oklahoma Educators (CEOE), Office of Educational Quality and Accountability (OEQA), State of Oklahoma, 2018.

  40. Member, Faculty Search Committee, School of Computer Science, University of Oklahoma, 2017-2018.

  41. Chair, Strategic Planning Committee, School of Computer Science, University of Oklahoma, 2016-2018.

  42. Member, Undergraduate Recruitment/Engagement Committee, School of Computer Science, University of Oklahoma, 2016-2017.

  43. Member, Teaching Scholars Initiative Committee, University of Oklahoma, 2016-2017.

  44. Member, Faculty Recruitment Committee (Software Engineering Professor of Practice), School of Computer Science, University of Oklahoma, 2016-2017.

  45. Chair, Undergraduate Advising Committee, School of Computer Science, University of Oklahoma, 2014-2016.

  46. Chair, Computer Science Network System Administrator Search Committee, School of Computer Science, University of Oklahoma, 2015.

  47. Member, Aerospace Engineering Faculty Search Committee, School of Aerospace and Mechanical Engineering, University of Oklahoma, 2015.

  48. Member, Strategic Planning Committee, School of Computer Science, University of Oklahoma, 2013.

  49. Member, Convocation Senior Speech Committee, College of Engineering, University of Oklahoma, 2013.

  50. Member, Program Committee, Association for the Advancement of Artificial Intelligence - Conference on Artificial Intelligence, 2013.

  51. Member, Science, Technology, Engineering, and Mathematics (STEM) Education Charrette, University of Oklahoma, 2013.

  52. Member, Committee A, School of Computer Science, University of Oklahoma, 2012-2014.

  53. Member, Review Panel, National Science Foundation, 2012.

  54. Member, Review Panel, National Science Foundation, 2012.

  55. Member, Review Panel, National Science Foundation, 2011.

  56. Member, Accreditation Committee, School of Computer Science, University of Oklahoma, 2009-2012.

  57. Member, OU2GO Advisory Board, University of Oklahoma, 2009-2011.

  58. Member, Steering Committee, "This View of Life": Darwin 2009 at OU, University of Oklahoma, 2008-2010.

  59. Member, Dean's Evaluation Committee, College of Engineering, University of Oklahoma, 2008-2009.

  60. Associate Editor, Conference Editorial Board, International Conference on Robotics and Automation, Robotics and Automation Society, Institute of Electrical and Electronics Engineers, 2008-2009.

  61. Chair, Publicity, Recruitment and Special Events Committee, School of Computer Science, University of Oklahoma, 2008-2016.

  62. Member, Committee A, School of Computer Science, University of Oklahoma, 2008-2010.

  63. Member, Publicity, Recruitment and Special Events Committee, School of Computer Science, University of Oklahoma, 2007-2008.

  64. Member, Bioinformatics and Computational Biology Steering Committee, School of Computer Science, University of Oklahoma, 2007-2008.

  65. Member, Site Visit Team, Alberta Ingenuity Centre for Machine Learning, 2007

  66. Graduate College Liaison and Chair, Graduate Committee, School of Computer Science, University of Oklahoma, 2006-2007.

  67. Chair, Computer Science Graduate Enrollment Management Committee, School of Computer Science, University of Oklahoma, 2004-2015.

  68. Member, Program Committee, Institute of Electrical and Electronics Engineers - International Conference on Robotics and Automation, 2006.

  69. Member, Graduate Committee, School of Computer Science, University of Oklahoma, 2004-2006.

  70. Member, Review Panel, National Science Foundation, 2005.

  71. Member, Website Review Committee, School of Computer Science, University of Oklahoma, 2005.

  72. Member, Dean's Evaluation Committee, College of Engineering, University of Oklahoma, 2004-2005.

  73. Member, Program Committee, International Association of Science and Technology for Development - International Conference on Robotics and Applications, 2003-2004.

  74. Member, Intelligent Systems Search Committee, College of Engineering, University of Oklahoma, 2002-2005.

  75. Member, Technical Committee on Robotics, International Association of Science and Technology for Development, 2001-2004.

  • Reviewer

  1. Artificial Life

  2. Autonomous Agents and Multi-Agent Systems

  3. Autonomous Robots

  4. Control and Intelligent Systems

  5. Discrete Applied Mathematics

  6. Institute of Electrical and Electronics Engineers - International Conference on Neural Networks

  7. Institute of Electrical and Electronics Engineers - International Conference on Robotics and Automation

  8. Institute of Electrical and Electronics Engineers - International Conference on Networking, Sensing, and Control

  9. Institute of Electrical and Electronics Engineers - International Symposium on Intelligent Control

  10. Institute of Electrical and Electronics Engineers - Transactions on Computers

  11. Institute of Electrical and Electronics Engineers - Transactions on Intelligent Transportation Systems

  12. Institute of Electrical and Electronics Engineers - Transactions on Systems, Man, and Cybernetics

  13. Institute of Electrical and Electronics Engineers/Robotics Society of Japan - International Conference on Intelligent Robots and Systems

  14. International Association of Science and Technology for Development - International Conference on Applied Simulation and Modeling

  15. International Journal of Computer Mathematics

  16. International Symposium on Robotics

  17. Journal of Intelligent and Robotic Systems

  18. Memetic Computing

  19. PLOS ONE

  20. Proceedings of the Oklahoma Academy of Science

  21. United States Civilian Research and Development Foundation for the Independent States of the Former Soviet Union

  • Memberships

  1. American Association for Artificial Intelligence

  2. American Society for Engineering Education

  3. Association for Computing Machinery

  4. Association for Computing Machinery - Special Interest Group in Artificial Intelligence

  5. Association for Computing Machinery - Special Interest Group in Computer Science Education

  6. Institute of Electrical and Electronics Engineers

  7. Institute of Electrical and Electronics Engineers - Communications Society

  8. Institute of Electrical and Electronics Engineers - Computational Intelligence Society

  9. Institute of Electrical and Electronics Engineers - Computer Society

  10. Institute of Electrical and Electronics Engineers - Education Society

  11. Institute of Electrical and Electronics Engineers - Robotics and Automation Society

  12. Institute of Electrical and Electronics Engineers - Systems, Man, and Cybernetics Society

  13. Intelligent Autonomous Systems Society

  14. International Association of Science and Technology for Development

  15. International Neural Networks Society

  16. International Society for Artificial Life

  • Outreach

  1. Keynote Speaker, Artificial Intelligence/Machine Learning Symposium, OU AI/ML Club, University of Oklahoma, 2023.

  2. Keynote Speaker, Artificial Intelligence/Machine Learning Symposium, OU AI/ML Club, University of Oklahoma, 2022.

  3. VIP Judge, Hacklahoma, Major League Hacking, 2018.

  4. Activity Leader, Presenter, and Role Model, Computer Science Education Week, School of Computer Science, University of Oklahoma, 2016-present.

  5. Participant, ConocoPhillips Information Technology University Partnership Program, 2015.

  6. VIP Judge, Oklahoma Regional, FIRST Robotics Competition, 2012-2015.

  7. Outreach Instructor, Summer Academy in Engineering, Science and Math, University of Oklahoma, 2012.

  8. Instructor, Shell Passport to Engineering Summer Camp, College of Engineering, University of Oklahoma, 2011.

  9. Guest Instructor, Did You Ever? Spring Break Camp, Science Museum of Oklahoma, 2011

  10. Judge, Oklahoma State Science and Engineering Fair, 2011.

  11. Consultant, Oklahoma School of Science and Mathematics (OSSM) team, Junior Engineering and Technical Society (JETS) Test of Engineering Aptitude in Mathematics and Science (TEAM+S), 2011.

  12. Head Referee, Oklahoma Regional, FIRST Robotics Competition, 2008-2011.

  13. Judge, International Tournament, Botball Robotics Program, KISS Institute for Practical Robotics, 2008.

  14. Member, Regional Planning Committee, Oklahoma Regional, FIRST Robotics Competition, 2007-2017.

  15. VIP Judge Coordinator, Oklahoma Regional, FIRST Robotics Competition, 2007-2017.

  16. Judge, Oklahoma State Science and Engineering Fair, 2007.

  17. Judge, Oklahoma Regional Tournament, Botball Robotics Program, KISS Institute for Practical Robotics, 2006-2007.

  18. Judge, National Tournament, Botball Robotics Program, KISS Institute for Practical Robotics, 2002-2003.

  19. Judge, Oklahoma Regional Tournament, Botball Robotics Program, KISS Institute for Practical Robotics, 2002-2003.

  20. Instructor, Gifted and Talented Enrichment Classes - Robotics, Norman Public Schools and Precollegiate Programs, University of Oklahoma, 2002.

  21. Consultant, Machine Learning Exhibit, Science Museum of Minnesota, 2002.

  22. Contributor, Books that Inspire Exhibit, Bizzell Memorial Library, University of Oklahoma, 2002.

  • Projects and Inventions

  1. OU2GO: The Official University of Oklahoma iPhone Application.   Project Lead and Inventor of Record, School of Computer Science and Center for the Creation of Economic Wealth, University of Oklahoma, 2009.

  2. Writing in Computer Science.  Graduate Assistant, Department of Computer Science and Engineering and The Center for Interdisciplinary Studies of Writing, University of Minnesota, 1996-1997.

  3. Nitro: Nitrogen Fertilization Application Expert Decision Support System. Graduate Assistant, Department of Soil, Water, and Climate, University of Minnesota, 1994-1995.

  4. SOIL7: Soil Data Geographic Information System using EPPL7.  Graduate Assistant, Department of Soil, Water, and Climate, University of Minnesota, 1993-1994.

  5. InterPro: Combined Expert Systems and Geographic Information System Package.  Graduate Assistant, Department of Soil, Water, and Climate, University of Minnesota, 1992-1993.

  6. WeedSoil: Herbicide Application Expert Decision Support System with Geographic Information System.  Graduate Assistant, Department of Soil, Water, and Climate, University of Minnesota, 1991-1992.

  7. PLPLeach and PLPSurf: Pesticide Loss Potential Expert Systems.  Graduate Assistant, Department of Soil, Water, and Climate, University of Minnesota, 1990-1991.

The views and opinions expressed in this page are strictly those of the page author. The contents of this page have not been reviewed or approved by the University of Oklahoma.

Last update: 04 October 2023

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