Nisar Ahmed

Nisar Ahmed is an Assistant Professor of Aerospace Engineering Science at the University of Colorado Boulder, where he directs the Cooperative Human-Robot Intelligence (COHRINT) Laboratory and is a member of the Research and Engineering Center for Unmanned Vehicles (RECUV). His research interests are in modeling, intelligent control, and information fusion for dynamical systems featuring human-autonomous robot interaction and heterogeneous sensor networks. He completed his Ph.D. in Mechanical Engineering at Cornell University in 2012 and from 2012-2014 was a postdoctoral research associate in the Cornell Autonomous Systems Lab (ASL). He received the ASEE Air Force Summer Faculty Fellowship in 2014, and has organized several workshops, including the RSS 2014 Workshop on Distributed Control and Estimation for Robotic Vehicle Networks and the AAAI 2015 Fall Symposium on Self-Confidence in Autonomous Systems. He is a member of IEEE and an Associate Member of the American Institute of Aeronautics and Astronautics (AIAA) Intelligent Systems Technical Committee.

Chris Heckman

Christoffer Heckman received his Ph.D. in Theoretical and Applied Mechanics from Cornell University, after which he was a postdoc at the Naval Research Laboratory as an NRC Research Associate. He then took a position as a Research Scientist at the Autonomous Robotics and Perception Group (ARPG) under Prof. Gabe Sibley at the University of Colorado at Boulder, where he conducted research on fusing perception into the model-predictive control pipeline, extensively reworking modern visual-inertial motion estimation and SLAM approaches to carry probabilistic measures of state through the planning and control processes for autonomous systems and robots. He is now an Assistant Professor at CU and the Director of ARPG. His current research focuses on developing mathematical and systems-level frameworks for autonomous control and perception applying concepts of nonlinear dynamical systems to the design of control systems for autonomous agents, leveraging machine learning and discrete algorithms in robotics and cyber-physical systems.

Jay McMahon

Jay McMahon is an Assistant Professor in the H.J. Smead Aerospace Engineering Sciences department at the University of Colorado Boulder. He earned his PhD at CU in 2011, his MS in Astronautical Engineering from USC in 2006, and his BS in Aerospace Engineering from the University of Michigan in 2004. From 2004 - 2008, he worked for the Aerospace Corporation in El Segundo, CA, where he analyzed launch vehicle guidance systems and supported launches of US Government spacecraft on Delta II, Delta IV, and Atlas V vehicles. He is a science team co-investigator for NASA’s OSIRIS-REx asteroid sample return mission, where he focuses on estimation of Bennu’s gravity field, the associated internal mass distribution, and the YORP effect as part of the radio science investigation. His research interests include spaceraft guidance, navigation and control, spacecraft autonomy, astrodyanmics, asteroid science, and resource utilization.

Daniel Szafir

Daniel Szafir is an Assistant Professor in the Department of Computer Science and the ATLAS Institute at the University of Colorado, Boulder. He holds a courtesy appointment in the CU Department of Information Science and is an affiliate of the CU Research and Engineering Center for Unmanned Vehicles (RECUV), the Center for Neuroscience, and the Culture, Language, and Social Practice (CLASP) program. Dr. Szafir’s research interests, which span the fields of human-robot interaction (HRI) and human-computer interaction (HCI), involve exploring how emerging interactive technologies, such as small aerial robots, wearable devices, and immersive virtual environments, may be designed to provide new forms of assistance to users in domains including collaborative work, education, and space exploration. He completed his Ph.D. in Computer Science at the University of Wisconsin–Madison in 2015 and was named to the Forbes 30 Under 30: Science list in 2017. His research support has included NASA, the National Science Foundation, Google, Intel, and Mitsubishi Heavy Industries.