Dr. Gunter is an Assistant Professor in Aerospace Engineering at the Georgia Institute of Technology. He received his B.S. in mechanical engineering from Rice University, and later his M.S. and Ph.D. in aerospace engineering from the University of Texas at Austin, specializing in orbital mechanics. Prior to joining Georgia Tech, Dr. Gunter was on the faculty of the Delft University of Technology (TU-Delft) in the Netherlands, as a member of the Physical and Space Geodesy section. His research activities involve various aspects of spacecraft missions and their applications, such as investigations into current and future laser altimetry missions, monitoring changes in the polar ice sheets using satellite data, applications of satellite constellations/formations, and topics surrounding kinematic orbit determination. He has been responsible for both undergraduate and graduate courses on topics such as satellite orbit determination, Earth and planetary observation, scientific applications of GPS, and space systems design. He is currently a member of the AIAA Astrodynamics Technical Committee, and also serves as the Geodesy chair for the Fall AGU Meeting Program Committee. He has received a NASA group achievement award for his work on the GRACE mission, and he is also a former recipient of a NASA Earth System Science Graduate Fellowship. He is a member of the American Institute of Aeronautics and Astronautics (AIAA), the American Geophysical Union (AGU), and the International Association of Geodesy (IAG).

Prof. Pradalier is Associate Professor at GeorgiaTech Lorraine, the French campus of the Georgia Institute of Technology (a.k.a. GeorgiaTech) since September 2012. He defended his “Habilitation à Diriger des Recherches” (Authority to Supervise Research) in 2015 on the topic of “Autonomous Mobile Systems for Long-Term Operations in Spatio-Temporal Environments” at the National Polytechnic Institute of Toulouse (INPT). 

His objective is to extend the activity of the CNRS IRL2958 GT-CNRS towards robotics, leveraging on one side the strong robotic research inside CNRS and on the other side the collaboration potential with the Robotics and Intelligent Machines (RIM) laboratory at GTL. 

At the IRL, he is now the coordinator of the H2020 BugWright2 project, has been involved in H2020 project Flourish and PF7 project Noptilus, as well as in projects on environmental monitoring. 

From November 2007 until December 2012, Dr. Pradalier has been deputy director in the Autonomous Systems Lab at ETH Zürich. In this role, he was the technical coordinator of the V-Charge project (IP, 2010-2014) and also involved in the development of innovative robotic platforms such as autonomous boats for environment monitoring or prototype space rovers funded by the European Space Agency. He is a founding member of the ETH start-up Skybotix, within which he was responsible for software development and integration. 

From 2004 to 2007, Dr. Pradalier was a research scientist at CSIRO Australia. He was then involved in the development of software for autonomous large industrial robots and an autonomous underwater vehicle for the monitoring of the Great Barrier Reef, Australia. 

He received his Ph.D. in 2004 from the National Polytechnic Institute of Grenoble (INPG) on the topic of autonomous navigation of a small urban mobility system and he is Ingénieur from the National Engineering School for Computer Science and Applied Math in Grenoble (ENSIMAG).

Michael (Mick) West joined ECE from the Georgia Tech Research Institute (GTRI) in 2022. He received his Ph.D. in electrical engineering from the University of Hawaii (UH) in 2006 and has over 28 years of professional experience with over 40 refereed journals and conference papers. 

West specializes in the development unmanned systems in extreme environments (under-ice, planetary, deep ocean, polar). He has been an invited speaker for United States Congressional leaders and their staff and top military personnel in the development of roadmaps for advancing current robotics research. He has served as PI on several Unmanned Systems programs developing novel enabling technologies including advanced control and power systems on underwater, ground, air and space platforms. West developed the first-of-its-kind under-ice vehicle, Icefin, in order to gather information about the changing polar ice and provide insight into areas of climate science, as well as biology and planetary science. The vehicle has been deployed over five seasons through the Ross Ice Shelf in Antarctica and provided never before seen images and scientific data of the Antarctic seafloor.

Charles Pippin is a Senior Research Scientist at the Georgia Tech Research Institute, GTRI. His research interests include collaborative autonomy algorithms, machine learning, and multi-robot systems. In his current work, he is investigating cooperation between autonomous systems, as part of GTRI's Unmanned Systems Initiative. Charles received a Ph.D. in Computer Science from Georgia Tech in 2013. His research advisor was Prof. Henrik I. Christensen. Charles received an M.S. in Computer Science from Georgia Tech in 2004 and holds a B.S. in Computer Science from the University of Alabama in Huntsville.

Prof. Matthew Flavin is an assistant professor in the School of Electrical and Computer Engineering at the Georgia Institute of Technology where he leads the Flavin Neuromachines Lab. Before joining the faculty at Georgia Tech, he was a postdoctoral researcher at Northwestern University. He received his M.S. and Ph.D. degrees in Electrical Engineering in 2017 and 2021 from the Massachusetts Institute of Technology (MIT), and he received his B.S. in Electrical Engineering in 2015 from the University of Illinois at Urbana-Champaign (UIUC). He received the NIH Ruth L. Kirschstein Institutional National Research Service Award (T32) and the Draper Laboratory Fellowship. The vision for his independent research program is to develop powerful peripheral neural interfaces and mechatronic wearables that leverage advanced sensors and intelligent systems to address important and unresolved challenges in patient care.

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.

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.

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.

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.).