All Other Papers

Workshop and Non-Archival Conference Papers


S. Dourmashkin, W. Whitacre, D. Akos, and N. Ahmed, “GPS-Limited Cooperative Positioning Using Scalable Approximate Decentralized Data Fusion,” accepted to the 2018 ION Position Location and Navigation Symposium (PLANS), Monterrey, CA.


S. McGuire, P.M. Furlong, and N. Ahmed, “On the Development of an Online Assistant Selection Dataset for Planetary Exploration Systems,” 2017 RSS Workshop on Bridging the Gap in Space Robotics, Cambridge, MA.

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.


Brett Israelsen and Nisar Ahmed, “Hybrid Repeat/Multi-point Sampling for Highly Volatile Objective Functions,” 2016 NIPS Workshop on Bayesian Optimization, Barcelona, Spain.

Stephen McGuire, Padraig Michael Furlong, Christoffer Heckman, Simon Julier, Daniel Szafir, and Nisar 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.

Nicholas Sweet and Nisar Ahmed, “Toward Natural Language Semantic Sensing in Dynamic State Spaces,” RSS 2016 Workshop on Model Learning for Human-Robot Communication, Ann Arbor, MI.

Matthew Aitken, Nisar Ahmed, Dale Lawrence, Brian Argrow, and Eric Frew, “Assurances and Machine Self-Confidence for Enhanced Trust in Autonomous Systems,” RSS 2016 Workshop on Social Trust in Autonomous Robots, Ann Arbor, MI.


Nisar Ahmed and Nicholas Sweet, “Softmax Modeling of Piecewise Semantics in Arbitrary State Spaces for ‘Plug and Play’ Human-Robot Sensor Fusion,” presented at the RSS 2015 Workshop on Model Learning for Human-Robot Communication, Rome, Italy.


Nisar Ahmed, Ewart de Visser, Tyler Shaw, Amira Mohammed-Ameen, Raja Parasuraman, and Mark Campbell, “A Look at Probabilistic Gaussian Process, Bayes Net, and Classifier Models for Prediction and Verification of Human Supervisory Performance,” presented at the AAAI 2014 Spring Symposium Workshop on Formal Verification and Modeling of Human-Machine Systems, Palo Alto, CA.

Nisar Ahmed, Rina Tse, and Mark Campbell, “Enabling Robust Human-Robot Cooperation through Flexible Fully Bayesian Shared Sensing”, presented at the AAAI 2014 Spring Symposium Workshop on The Intersection of Robust Intelligence and Trust in Autonomous Systems, Palo Alto, CA.

2013 and older

Nisar Ahmed, Tsung-Lin Yang, and Mark Campbell, “On Generalized Bayesian Data Fusion with Complex Models in Large Scale Networks,” presented at 2013 WISeNET Workshop, Duke University.

Nisar Ahmed, et al. “Towards Cooperative Bayesian Human-Robot Perception: Theory, Experiments, and Opportunities,” presented at the AAAI 2013 Workshop on Intelligent Robotic Systems, Bellevue, WA.


Book Chapters

Nisar R. Ahmed, Simon J. Julier, Jonathan R. Schoenberg, and Mark E. Campbell, “Decentralized Bayesian Fusion in Networks with Non-Gaussian Uncertainties,” Multisensor Data Fusion: From Algorithm and Architecture Design to Applications (H. Fourati and K. Iniewski, Eds.), CRC Press, 2015.