Gary Gray

Gary Gray
Research Scientist; Georgia Tech Research Institute
- Autonomy
Autonomy
IRI Connections:
Autonomy
Autonomy
Dr. J.V.R. Prasad is a professor in the School of Daniel Guggenheim School of Aerospace Engineering at the Georgia Institute of Technology working in the area of flight mechanics and control. He received his B.Tech degree from the Indian Institute of Technology, Madras, India and his M.S and Ph.D. degrees from the Georgia Institute of Technology, Atlanta, USA. He is currently a co-principal investigator and the associate director for the US Army, Navy and NASA sponsored Vertical Lift Rotorcraft Center of Excellence (VLRCOE) program at Georgia Tech. He has extensive research and design experience in rotorcraft system modeling and control, propulsion system modeling and control, and autonomous air vehicle modeling and control. He published parts of four books, sixty refereed journal papers, more than 250 conference papers and 80 research project reports. He has 18 invention disclosures and five patents to his credit. He is a recipient of the 2009 Melville Medal award from the American Society of Mechanical Engineers (ASME) and the 2015 Aero Lion Technologies Outstanding Journal Paper award from the International Journal of Unmanned Systems. He served as the editor-in-chief of the Journal of the American Helicopter Society (AHS), chair of the Handling Qualities and UAV Tech Committees of the AHS, and as member and secretary of the Atmospheric. Flight Mechanics Technical Committee of the American Institute of Aeronautics and Astronautics (AIAA). He currently serves as a member of the editorial board for the International Journal on Mathematical Modeling and Simulation and the advisory board for the International Journal of Unmanned Systems. He is a Fellow of the AIAA, a Technical Fellow of the AHS and a member of the ASME.
jvr.prasad@aerospace.gatech.edu
404.894.3043
Office Location:
Knight 421A
Flight Mechanics & Controls
E. Glenn Lightsey is the John W. Young Chair Professor in the Daniel Guggenheim School of Aerospace Engineering at Georgia Tech. He currently serves as the interim director 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.
404.385.4146
Office Location:
ESM 110A/B
Small Satellites, Guidance and Control, and Spacecraft Technology.
Chen Zhou is the associate chair for undergraduate studies and associate professor in the Stewart School of Industrial and Systems Engineering at Georgia Tech.. Dr. Zhou's research focus includes sustainable supply chain, distribution system design and manufacturing systems. Dr. Chen is a member of the Institute of Industrial Engineers, Society of Manufacturing Engineers and American Society of Engineering Education. Dr. Zhou received a B.S. degree from Tianjin University (China) in 1982, an M.S. in mechanical engineering from Pennsylvania State University in 1984, and a Ph.D. in industrial engineering from Pennsylvania State University in 1988.
404.894.2326
Office Location:
Groseclose 217
Industrial and Systems Engineering Profile Page
Warehousing design and analysis; Manufacturing Systems
Nancey Green Leigh is a Professor in the School of City and Regional Planning and adviser for the economic development planning, working with masters and doctoral students. Maintaining an active research program, Leigh is currently leading a project entitled "Workers, Firms and Industries in Robotic Regions," funded by the National Science Foundation's Robotics Initiative. She previously led a large scale research effort by three universities focused on sustainable industrial systems for urban regions. Both of these efforts as well as other funded research (brownfields, urban land and manufacturing, resilient infrastructure) contribute to Leigh's long term focus on advancing sustainable development for local and regional economies. As Associate Dean for Research, Leigh is focused on strengthening the research impact of the College of Design. She develops and administers competitive initiatives to support individual and collaborative research by college faculty and affiliated researchers. She oversees the college's seven major research units. She also is engaged in building research connections within Georgia Tech between the College of Design, other colleges and Interdisciplinary Research Institutes, as well as to external funders and collaborators in the public, private and nonprofit sectors. Leigh has published more than 60 articles and four books, Routledge Handbook of International Planning Education (2019 with S.P. French, S. Guhathakurta, and B. Stiftel), Planning Local Economic Development, 6th edition (2017 with E.J. Blakely) adopted for courses in a wide array of universities; Economic Revitalization: Cases and Strategies for City and Suburb (2002 with J. Fitzgerald); and Stemming Middle Class Decline: The Challenge to Economic Development Planning (1994). She was co-editor of the Journal of Planning Education and Research from 2012 to 2016, and was elected a Fellow of the American Institute of Certified Planners in 2008.
404.894.9839
Office Location:
Architecture-East Building, 209
economic development; robots & AI impact on workers; firms & regions; City and Regional Planning; System Design & Optimization; Design Sciences
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.
404.894.3242
Office Location:
Love 229
Sensing Technologies Laboratory Website
new sensor systems diagnostic techniques; robotic; biomedical; hypersonics
Marilyn Smith is a Professor in the School of Daniel Guggenheim School of Aerospace Engineering at the Georgia Institute of Technology. She is director of Georgia Tech's Vertical Lift Research Center of Excellence (VLRCOE), where she leads a seven-university team of experts in vertical lift research for the U.S. Army, U.S. Navy and NASA. She has partnered with the Georgia Tech Research Institute (GTRI) to successfully win multiple research funding mechanisms for both organizations that total more than $200 million dollars. As the director of the AE School's Computational Nonlinear Computational Aeroelasticity Lab, Prof. Smith leads an internationally recognized and award-winning research team in the areas of unsteady aerodynamics and computational aeroelasticity using Computational Fluid Dynamics (CFD) across rotary-wing, fixed wing and launch vehicles, as well as sustainable energy. As a member of the NASA FUN3D development team, Prof. Smith contributes to state-of-the-art unstructured algorithm development, in particular for overset, moving frames. As an affiliate of the Aerospace Systems Design Lab (ASDL), she helps to integrate high performance computing with the design process. Prof. Smith is the author or co-author of more than 200 technical publications, and her research products are in active use by the US Government and other organizations, including the Drone Racing League. She is active internationally on three NATO AVT Panels investigating nonlinear gusts behaviors on UAVs and collaboration of experimental/computational aerodynamics. She is on Board of Directors of the Vertical Lift Consortium (VLC) and the Vertical Flight Society (VFS). She is also the Deputy Technical Director for Aeromechanics for the VFS. Prof. Smith has demonstrated her leadership as ARO Dynamic Stall Workshop Chair (2019); 70th AHS Annual Forum Technical Chairperson (2014); 69th AHS Annual Forum Technical Deputy Chairperson (2013); and 2014 Overset Grid Symposium (OGS) Chairperson. She was a member on the first International Aeroelastic Prediction Workshop Organizing Committee and is a member of the OGS organizing committee. Prof. Smith has been a guest expert in aviation for National Geographic, PBS, and NPR, as well as local television and numerous publications.
404.894.3065
Office Location:
Weber 202
aeroelasticity; aerodynamics; computational fluid dynamics
Alenka Zajic is currently the Ken Byers Professor in the School of Electrical and Computer Engineering at the Georgia Institute of Technology. She has received the B.Sc. and M.Sc. degrees from the University of Belgrade, Belgrade, Serbia, in 2001 and 2003, respectively, and the Ph.D. degree in electrical and computer engineering from the Georgia Institute of Technology, Atlanta, in 2008. Before joining Georgia Tech as an assistant professor, Zajic was a post-doctoral fellow in the Naval Research Laboratory and visiting faculty in the School of Computer Science at the Georgia Institute of Technology. Zajic is the recipient of the following awards: IEEE Atlanta Section Outstanding Engineer Award (2019), The Best Poster Award at the IEEE International Conference on RFID (2018), NSF CAREER Award (2017), Best Paper Award at the 49th Annual IEEE/ACM International Symposium on Microarchitecture (2016), the Best Student Paper Award at the IEEE International Conference on Communications and Electronics (2014), Neal Shepherd Memorial Best Propagation Paper Award (2012), the Best Paper Award at the International Conference on Telecommunications (2008), the Best Student Paper Award at the Wireless Communications and Networking Conference (2007), IEEE Outstanding Chapter Award as a Chair of the Atlanta Chapter of the AP/MTT Societies (2016), LexisNexis Dean's Excellence Award (2016), and Richard M. Bass/Eta Kappa Nu Outstanding Teacher Award (2016). She was an editor for IEEE Transactions on Wireless Communications 2012-2017 and an executive editor for Wiley Transactions on Emerging Telecommunications Technologies 2011-2016 .
404.556.7149
Office Location:
TSRB 415
On-Chip and Off-Chip Interconnects and Communication in Computer Systems; Mobile-to-Mobile Wireless Channel Modeling and Measurements; Underwater Wireless Channel Modeling and Measurements; Electromagnetic Security and Compatibility; Applied Electromagnetics; Wireless Communications
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.).
Office Location:
CODA room S1181B
Robotics Perception & Learning Lab
Machine Learning; Perception; Robotics; Artificial Intelligence