Sean Wilson is a Senior Research Engineer serving as the Collaborative Autonomy Branch Chief for the Aerospace, Transportation & Advanced Systems Laboratory at the Georgia Tech Research Institute (GTRI). Additionally, he serves as the Director of the Robotarium Lab (https://www.robotarium.gatech.edu/) at Georgia Tech, which enables people around the world to deploy robotic algorithms onto robotic hardware free of charge.

He received M.S. and Ph.D. degrees in mechanical engineering from Arizona State University in 2017 and a B.A. degree in physics and mathematics from the State University of New York at Geneseo in 2012. He previously served as a postdoctoral fellow at the Georgia Institute of Technology.

Dr. Wilson’s research interests include remotely-accessible robotic hardware, collaborative autonomy, as well as the control of multi-agent and swarm robotic systems. 

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.

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 .

Shimeng Yu is a professor of electrical and computer engineering at the Georgia Institute of Technology. He received the B.S. degree in microelectronics from Peking University in 2009, and the M.S. degree and Ph.D. degree in electrical engineering from Stanford University in 2011 and 2013, respectively. From 2013 to 2018, he was an assistant professor at Arizona State University.

Yu’s research interests are semiconductor devices and integrated circuits for energy-efficient computing systems. His expertise is on the emerging non-volatile memories (e.g., RRAM, ferroelectrics) for applications such as AI hardware, in-memory computing, 3D integration, etc.

Among Yu’s honors, he was a recipient of NSF Faculty Early CAREER Award in 2016, IEEE Electron Devices Society (EDS) Early Career Award in 2017, ACM Special Interests Group on Design Automation (SIGDA) Outstanding New Faculty Award in 2018, Semiconductor Research Corporation (SRC) Young Faculty Award in 2019, ACM/IEEE Design Automation Conference (DAC) Under-40 Innovators Award in 2020, IEEE Circuits and Systems Society (CASS) Distinguished Lecturer for 2021-2022, and IEEE EDS Distinguished Lecturer for 2022-2023, etc.

Yu is active in professional services. He served or is serving technical program committee for IEEE International Electron Devices Meeting (IEDM), IEEE Symposium on VLSI Technology and Circuits, ACM/IEEE Design Automation Conference (DAC), ACM/IEEE Design, Automation & Test in Europe (DATE), ACM/IEEE International Conference on Computer-Aided-Design (ICCAD), etc.  He is an editor of IEEE Electron Device Letters and a senior member of the IEEE.

Professor Yezzi was born in Gainsville, Florida and grew up in Minneapolis, Minnesota. He obtained both his Bachelor's degree and his Ph.D. in the Department of Electrical Engineering at the University of Minnesota with minors in mathematics and music. After completing his Ph.D., he continued his research as a post-Doctoral Research Associate at the Laboratory for Information and Decision Systems at Massachusetts Institute of Technology in Boston, MA. His research interests fall broadly within the fields of image processing and computer vision. In particular he is interested in curve and surface evolution theory and partial differential equation techniques as they apply to topics within these fields (such as segmentation, image smoothing and enhancement, optical flow, stereo disparity, shape from shading, object recognition, and visual tracking). Much of Dr. Yezzi's work is particularly tailored to problems in medical imaging, including cardiac ultrasound, MRI, and CT. He joined the Georgia Tech faculty in the fall of 1999 where he has taught courses in DSP and is working to develop advanced courses in computer vision and medical image processing. Professor Yezzi consults with industry in the areas of visual inspection and medical imaging. His hobbies include classical guitar, opera, and martial arts.

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.

Erik I. Verriest received the degree of 'Burgerlijk Electrotechnisch Ingenieur' from the State University of Ghent, Ghent, Belgium in 1973, and the M.Sc. and Ph.D. degrees from Stanford University in 1975 and 1980, respectively. He was employed by the Control Systems Laboratory and the Hybrid Computation Centre, Ghent, Belgium, where he worked on process simulation and control in 1973-74. His doctoral research at Stanford was on the algebraic theory and balancing for time varying linear systems and array algorithms. He joined the faculty of Electrical and Computer Engineering at Georgia Tech in 1980. He spent the 1991-92, 1993-94 and 1994-95 academic years at Georgia Tech Lorraine. He has contributed to the application of the theory of systems over finite fields in cryptography, data compression, sensitivity analysis of array algorithms with applications in estimation and control, algorithms for optical computing. More recently he contributed to the theory of periodic and hybrid systems, delay - differential systems, model reduction for nonlinear systems, and control with communication constraints. He served on several IPC's and is a member of the IFAC Committee on Linear Systems.

Patricio Vela was born in Mexico City, Mexico and grew up in California. He earned his bachelor of science degree in 1998 and his doctorate in 2003 at the California Institute of Technology, where he did his graduate research on geometric nonlinear control androbotics. Dr. Vela came to Georgia Tech as a post-doctoral researcher in computer vision and joined the ECE faculty in 2005. His research interests lie in the geometric perspectives to control theory and computer vision. Recently, he has been interested in the role that computer vision can play for achieving control-theoretic objectives of (semi-)autonomous systems. His research also covers control of nonlinear systems, typically robotic systems.