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Ahmed, Nisar Razzi Assistant Professor


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research overview

  • Professor Nisar Ahmed’s research explores new algorithms and models for probabilistic reasoning that promote cooperative intelligence in mixed teams of humans and autonomous robotic vehicles. The COHRINT Lab blends this cutting-edge theory with real-world robotic software and hardware. Key problem areas for aerospace applications include: integrated sensing, perception, planning and control in human-robot teams; learning and prediction of human/autonomy decision making and task performance; and fusion of complex information in dynamic sensor networks for applications such as GPS-limited navigation and cooperative target tracking under uncertainty.


  • human-robot interaction, human-machine systems, probabilistic modeling, Bayesian methods, autonomous systems, estimation theory, sensor fusion, machine learning, system identification


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