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Office of Faculty Affairs and Engagement

Research Areas

  • Distributed mobile robotics
  • Human-robot interaction
  • Distributed intelligence
  • Sensor networks
  • Machine learning
  • Embedded systems
  • Multi-agent systems


Lynne E. Parker is the Interim Dean (since May 7, 2018) and Associate Dean for Faculty Affairs and Engagement in the Tickle College of Engineering (since January 2017), and Professor in the Min H. Kao Department of Electrical Engineering and Computer Science. She received her PhD in Computer Science from the Massachusetts Institute of Technology. Prior to becoming Associate Dean, she served for two years as the Division Director for Information and Intelligent Systems in the Computer and Information Science and Engineering Directorate at the National Science Foundation, where she co-chaired a White House-commissioned task force that created the National Artificial Intelligence Research and Development Strategic Plan. She has been on the UT faculty since 2002, and served as Associate Head of the EECS Department from 2010-2014. Prior to joining the UT faculty, she worked for several years as a Distinguished Research and Development Staff Member at Oak Ridge National Laboratory.

Parker is the founder of the Distributed Intelligence Laboratory at UT, which has conducted research in multi-robot systems, sensor networks, machine learning, and human-robot interaction. She has made significant research contributions in distributed and heterogeneous robot systems, machine learning, and human-robot interaction. Her dissertation research (1994) on ALLIANCE, a distributed architecture for multi-robot cooperation, was the first PhD dissertation worldwide on the topic of multi-robot systems, and is considered a pioneering work in the field. She has published extensively in these areas and has received numerous awards for her research, teaching, and service, including the PECASE Award (U.S. Presidential Early Career Award for Scientists and Engineers), the IEEE RAS Distinguished Service Award, and many UT Chancellors, College, and Departmental awards. Parker has been active in the IEEE Robotics and Automation Society for many years; she served as the General Chair for the 2015 IEEE International Conference on Robotics and Automation, as the Editor-in-Chief of the IEEE RAS Conference Editorial Board, as an Administrative Committee Member of RAS, and as Editor of IEEE Transactions on Robotics. She is a Fellow of IEEE.

Affiliations and Awards

  • Fellow, IEEE (Robotics and Automation Society)
  • Senior Member, American Association for Artificial Intelligence
  • Senior Member, Association for Computing Machinery
  • Member, American Society for Engineering Education
  • IEEE Robotics and Automation Society Distinguished Service Award, 2015
  • UT Chancellor’s Honor: Success in Multidisciplinary Research, 2014
  • UT College of Engineering Leon and Nancy Cole Superior Teaching Award, 2014
  • UT College of Engineering Moses and Mayme Brooks Distinguished Professor Award, 2013
  • UT Chancellor’s Honor: Research and Creative Achievement, 2011
  • UT Gonzalez Family Award for Excellence in Research, 2009
  • UT College of Engineering Allen and Hoshall Engineering Faculty Award, 2009
  • UT Chancellor’s Honor: Angie Warren Perkins Award, 2006
  • PECASE Award (United States Presidential Early Career Award for Scientists and Engineers), 2000
  • UT-Battelle Technical Achievement Award for Significant Research Achievement, 2000
  • Department of Energy Office of Science Early Career Scientist and Engineer Award, 1999

Selected Publications

Parker has over 150 peer-reviewed publications, including six edited books, in several research areas, including distributed robotics, human-robot cooperation, autonomous robotics, robot learning, and autonomous navigation. Sample publications include:

  • L. E. Parker, D. Rus, and G. Sukhatme, “Multiple Mobile Robot Systems”, Chapter 53 of Springer Handbook of Robotics, Second Edition, B. Siciliano and O. Khatib, editors, 2016.
  • H. Zhang and L. E. Parker, “CoDe4D: Color-Depth Local Spatio-Temporal Features for Human Activity Recognition from RGB-D Videos”, IEEE Transactions on Circuits and Systems for Video Technology, 26(3):541-555, 2016.
  • C. Zhang, H. Zhang, R. Guo, and L. E. Parker, “Unified Robot Learning of Action Labels and Motion Trajectories from 3D Human Skeletal Data”, Proceedings of IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), 2016.
  • H. Zhang, C. Reardon, F. Han, and L. E. Parker, “SRAC: Self-Reflective Risk-Aware Artificial Cognitive Models for Robot Response to Human Activities”, Proceedings of IEEE International Conference on Robotics and Automation(ICRA), 2016.
  • C. Reardon, R. Wright, D. Cihak, and L. E. Parker, “Intelligent Context-Aware Augmented Reality to Teach Students with Intellectual and Developmental Disabilities”, Proceedings of 29th International Florida Artificial Intelligence Research Society Conference (FLAIRS), 2016.
  • H. Zhang, W. Zhou, C. Zhang, and L. E. Parker, “Fuzzy Temporal Segmentation and Probabilistic Recognition of Continuous Human Daily Activities”, IEEE Transactions on Human-Machine Systems, 45(5), pages 598-611, 2015.
  • L. E. Parker and N. M. Amato, “IEEE ICRA 2015 – Celebrating the Diversity of Robots and Roboticists”, IEEE Robotics and Automation Magazine, 22 (3): 168-170, 2015.
  • J. Sanyal, J. R. New, R. Edwards, and L. E. Parker, “Calibrating Building Energy Models Using Supercomputer Trained Machine Learning Agents”, Concurrency and Computation: Practice and Experience, 26(13): 2122-2133, 2014.
  • Y. Li and L. E. Parker, “Nearest Neighbor Imputation Using Spatial-Temporal Correlations in Wireless Sensor Networks” Information Fusion, vol. 15, pages 64-79, 2014.
  • H. Zhang, C. Reardon, and L. E. Parker, “Real-Time Multiple Human Perception with Color-Depth Cameras on a Mobile Robot”, IEEE Transactions on Cybernetics, vol. 43(5), pages 1429-1441, 2013.
  • Y. Zhang and L. E. Parker, “Considering Inter-Task Resource Constraints in Task Allocation”, Journal of Autonomous Agents and Multi-Agent Systems, vol. 26, pp. 389-419, 2013.
  • Y. Zhang and L. E. Parker, “IQ-ASyMTRe: Forming Executable Coalitions for Tightly-Coupled Multi-robot Tasks”, IEEE Transactions on Robotics, vol. 29(2), pp. 400-416, 2013.
  • R. Edwards, J. New, and L. E. Parker, “Predicting Future Hourly Residential Electrical Consumption: A Machine Learning Case Study”, Energy and Buildings, vol. 49, pages 591-603, June 2012.
  • L. E. Parker and F. Tang, “Building Multi-Robot Coalitions through Automated Task Solution Synthesis”, Proceedings of the IEEE, Special Issue on Multi-Robot Systems, vol. 94, no. 7, 2006: 1289-1305.
  • A. Howard, L. E. Parker, and G. Sukhatme, ”Experiments with a Large Heterogeneous Mobile Robot Team: Exploration, Mapping, Deployment, and Detection”, International Journal of Robotics Research, vol. 25, no. 5-6, 2006: 431-447.
  • L. E. Parker, “ALLIANCE: An Architecture for Fault Tolerant Multi-Robot Cooperation”, IEEE Transactions on Robotics and Automation, 14 (2), 1998.

Electronic versions of these and other papers are available here.

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