Dr. Anirban Mazumdar joined Georgia Tech as an Assistant Professor in Mechanical Engineering in 2018. Dr. Mazumdar studies robot mobility with the goal of understanding and achieving agile, versatile, and efficient robot behaviors in unstructured environments. His previous experience includes a postdoctoral research position in the High Consequence Automation and Robotics Group at Sandia National Laboratories in Albuquerque, NM. He has broad experience with novel robotic systems including energy efficient bipedal robots, reconfigurable aerial vehicles, prosthetic devices, and relaxed stability mobile robots.

Dr. Mazumdar started at the Woodruff School of Mechanical Engineering at Georgia Tech in January of 2019 and currently has a courtesy appointment with the Guggenheim School of Aerospace Engineering. She graduated with her Ph.D. from Massachusetts Institute of Technology and completed a postdoctoral appointment at Sandia National Laboratories in the Diagnostic Science and Engineering group. Her research interests include the design of new diagnostic techniques and sensor systems for studying combustion, multiphase flows, hypersonic flows, and energetic materials. Her group utilizes new composite sensing materials, optical diagnostics, magnetostatics, and system identification methods to study these complex physical phenomena.

E. Glenn Lightsey is the John W. Young Chair Professor in the Daniel Guggenheim School of Aerospace Engineering at Georgia Tech. He currently serves on the executive committee for the Space Research Initiative at Georgia Tech. Previously, he was the director of the Space Systems Design Lab from 2016-2023 and Center for Space Technology And Research at Georgia Tech from 2019-2023. 

Lightsey’s research program focuses on the technology of small satellites, including: guidance, navigation, and control systems; attitude determination and control; formation flying, satellite swarms, and cooperative control; proximity operations and unmanned spacecraft rendezvous; space based Global Positioning System receivers; radionavigation; propulsion; satellite operations; and space systems engineering. His group has built and operated several spacecraft for government sponsors. 

Lightsey has co-authored more than 180 technical articles and publications, including four book chapters. He is an AIAA Fellow and a Founding Member of the AIAA Small Satellite Technical Committee. He is Associate Editor-in-Chief of the Journal of Small Satellites. In the past he served as Associate Editor of the AIAA Journal of Guidance, Control, and Dynamics and Associate Editor of the AIAA Journal of Spacecraft and Rockets. Lightsey was previously employed at the University of Texas at Austin and NASA’s Goddard Space Flight Center.

Shreyas Kousik is an assistant professor in the George W. Woodruff School of Mechanical Engineering. Previously, Shreyas was a postdoctoral scholar at Stanford University, working in the ASL under Prof. Marco. Kousik completed a postdoc with Prof. Grace Gao in the NAV Lab. He received his Ph.D. in Mechanical Engineering at the University of Michigan, advised by Prof. Ram Vasudevan in the ROAHM Lab and received his undergraduate degree in Mechanical Engineering at Georgia Tech, advised by Prof. Antonia Antoniou.

Kousik’s research is focused on guaranteeing safety in autonomy via collision avoidance methods for robots. His lab’s goal is to translate safety in math to safety on real robots by exploring ways to model uncertainty from autonomous perception and estimation systems and ensure that these models are practical for downstream planning and control tasks

I am an Assistant Professor at the School of Interactive Computing in the College of Computing. I am also affiliated with the Georgia Tech Research Institute and serve as an Associate Director of ML@GT which is the machine learning center recently created at Georgia Tech. Previously I was a Research Scientist at SRI International Sarnoff in Princeton, and before that received my Ph.D. in 2010 with Professor Ron Arkin as my advisor. I lead the RobotIcs Perception and Learning (RIPL) lab. My areas of research specifically focus on the intersection of learning methods for sensor processing and robotics, developing novel machine learning algorithms and formulations towards solving some of the more difficult perception problems in these areas. I am especially interested in moving beyond supervised learning (un/semi/self-supervised and continual/lifelong learning) as well as distributed perception (multi-modal fusion, learning to incorporate information across a group of robots, etc.).

David Hu is a fluid dynamicist with expertise in the mechanics of interfaces between fluids such as air and water. He is a leading researcher in the biomechanics of animal locomotion. The study of flying, swimming and running dates back hundreds of years, and has since been shown to be an enduring and rich subject, linking areas as diverse as mechanical engineering, mathematics and neuroscience. Hu's work in this area has the potential to impact robotics research. Before robots can interact with humans, aid in minimally-invasive surgery, perform interplanetary exploration or lead search-and-rescue operations, we will need a fundamental physical understanding of how related tasks are accomplished in their biological counterparts. Hu's work in these areas has generated broad interest across the fields of engineering, biology and robotics, resulting in over 30 publications, including a number in high-impact interdisciplinary journals such as Nature, Nature Materials, Proceedings of the National Academy of Sciences as well as popular journals such as Physics Today and American Scientist. Hu is on editorial board member for Nature Scientific Reports, The Journal of Experimental Biology, and NYU Abu Dhabi's Center for Center for Creative Design of Materials. He has won the NSF CAREER award, Lockheed Inspirational Young Faculty award, and best paper awards from SAIC, Sigma Xi, ASME, as well as awards for science education such as the Pineapple Science Prize and the Ig Nobel Prize. Over the years, Hu's research has also played a role in educating the public in science and engineering. He has been an invited guest on numerous television and radio shows to discuss his research, including Good Morning America, National Public Radio, The Weather Channel, and Discovery Channel. His ant research was featured on the cover of the Washington Post in 2011. His work has also been featured in The Economist, The New York Times, National Geographic, Popular Science and Discover His laboratory appeared on 3D TV as part of a nature documentary by 3DigitalVision, "Fire ants: the invincible army," available on Netflix.

Ai-Ping Hu is a principal research engineer in the Georgia Tech Research Institute’s Intelligent Sustainable Technologies Division. He received his BS in Mechanical & Aerospace Engineering from Cornell University and Ph.D. from the Georgia Institute of Technology. Prior to joining GTRI in 2009, Dr. Hu co-founded a start-up robotics company applying learning control to achieve high precision in lightweight flexible manufacturing robots.  His current research interests include agricultural robotics, nonlinear control and vision-guided manipulation.