Most Recent Work (2016-17)
Brett Israelsen, Nisar Ahmed, Kenneth Center, Roderick Green, and Winston Bennett, “Adaptive Simulation-based Training of AI Decision-makers Using Bayesian Optimization,” submitted to AIAA Journal of Aerospace Information Systems (in review) — draft available on arXiv
N. Ahmed, D. Casbeer, Y. Cao, and D. Kingston, “Multi-target Localization on Road Networks with Hidden Markov Rao-Blackwellized Particle Filters,” submitted to AIAA Journal of Aerospace Information Systems (in review).
M. Campbell and N. Ahmed, “Distributed Data Fusion: Neighbors, Rumors, and the Art of Collective Knowledge,” IEEE Control Systems, vol 36, no. 4, 83-109, 2016.
Peer-reviewed Conference Papers
S. McGuire, P.M. Furlong, C. Heckman, S. Julier, and N. Ahmed, “Failure is Not an Option: Policy Learning for Adaptive Recovery in Space Operations,” submitted to FSR 2017, the 11th Conference on Field and Service Robotics (in review).
L. Burks and N. Ahmed, “Optimal Continuous State POMDP Planning with Semantic Observations,” submitted to the 2017 IEEE Conference on Decision and Control (in review)
B. Israelsen, N. Ahmed, K. Center, and R. Green,”Towards Adaptive Training of Agent-based Sparring Partners for Fighter Pilots,” InfoTech@Aerospace at AIAA SciTech 2017, Grapevine, TX (Best Intelligent Systems Student Paper Award).
N. Ahmed, “Collaborative autonomous sensing with Bayesians in the loop,” Proc. SPIE 9986, Unmanned/Unattended Sensors and Sensor Networks XII, 99860B (Keynote talk)
V. Ramaswamy, S. Moon, E. Frew, N. Ahmed, “Mutual Information based communication aware path planning: A game theoretic perspective,” 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2016), Daejon, Korea.
N. Ahmed, W. Whitacre, S. Moon, and E. Frew, “Factorized DDF for Scalable Partial State Filtering in Networks,” 2016 International Conference on Information Fusion (FUSION 2016), Heidelberg, Germany.
N. Sweet and N. Ahmed, “Structured Synthesis and Compression of Semantic Human Sensor Models for Bayesian Estimation,” 2016 IEEE/CSS American Control Conference (ACC 2016), Boston, MA.
K. Lore, N. Sweet, K. Kumar, N. Ahmed, and S. Sarkar, “Deep Value of Information Estimators for Collaborative Human-Machine Information Gathering,” 2016 ACM/IEEE International Conference on Cyberphysical Systems (ICCPS 2016), Vienna, Austria.
N. Sweet, N. Ahmed, U. Kuter, and C. Miller, “Towards Self-Confidence in Autonomous Systems,” AIAA SciTech 2016 Infotech@Aerospace Conference, San Diego, CA
N. Ahmed, W. Whitacre, S. Moon, and E. Frew, “Scalable Decentralized Target Localization with Ownship uncertainties Using Factorized Data Fusion”, AIAA SciTech 2016 Infotech@Aerospace Conference, San Diego, CA.
Luke Burks and Nisar Ahmed, “Optimal Continuous State Planning with Semantic Observations,” to appear in the 2017 Multi-Disciplinary Conference on Reinforcement Learning and Decision Making, Ann Arbor, MI.
B. Israelsen and N. Ahmed, “Hybrid Repeat/Multi-point Sampling for Highly Volatile Objective Functions,” 2016 NIPS Workshop on Bayesian Optimization, Barcelona, Spain.
S. McGuire, P. Michael Furlong, C. Heckman, S. Julier, D. Szafir, and N. Ahmed, “Teamwork Across the Stars: Machine Learning to Overcome the Brittleness of Autonomy,” 2016 IROS Workshop on Human-Robot Collaboration: Towards Co-Adaptive Learning Through Semi-Autonomy and Shared Control, Daejon, Korea, 2016.
N. Sweet and N. Ahmed, “Toward Natural Language Semantic Sensing in Dynamic State Spaces,” RSS 2016 Workshop on Model Learning for Human-Robot Communication, Ann Arbor, MI.
M. Aitken, N. Ahmed, D. Lawrence, B. Argrow, and E. Frew, “Assurances and Machine Self-Confidence for Enhanced Trust in Autonomous Systems,” RSS 2016 Workshop on Social Trust in Autonomous Robots, Ann Arbor, MI.