Lu Gan joined the Daniel Guggenheim School of Aerospace Engineering at the Georgia Institute of Technology as an Assistant Professor in January 2024. She leads the Lu's Navigation and Autonomous Robotics (Lunar) Lab at Georgia Tech, and is on the core faculty of the Institute for Robotics and Intelligent Machines. Her research interests include robot perception, robot learning, and autonomous navigation. Her group explores the use of computer vision, machine learning, estimation, probabilistic inference, kinematics and dynamics to develop autonomous systems in ground, air, and space applications.

She holds a B.S. in Automation from the University of Electronic Science and Technology of China, an M.S. in Control Engineering from Beihang University, and received her M.S. and Ph.D. in Robotics from the University of Michigan, Ann Arbor. Before joining Georgia Tech, she had a two-year appointment as a Postdoctoral Scholar at the Graduate Aerospace Laboratories of the California Institute of Technology and the Center for Autonomous Systems and Technologies at Caltech.

May Dongmei Wang, Ph.D., is The Wallace H Coulter Distinguished Faculty Fellow, professor of BME, ECE and CSE, Director of Biomedical Big Data Initiative, and Georgia Distinguished Cancer Scholar. She is also Petit Institute Faculty Fellow, Kavli Fellow, Fellow of AIMBE, Fellow of IEEE, and Fellow of IAMBE. She received BEng from Tsinghua University China and MS/PhD from Georgia Institute of Technology (GIT). Dr. Wang’s research and teaching are in Biomedical Big Data and AI-Driven Biomedical Health Informatics and Intelligent Reality (IR) for predictive, personalized, and precision health. She has published over 270 referred journal and conference proceeding articles (13,500+ GS-Citations) and delivered over 280 invited and keynote lectures. Dr. Wang’s research has been supported by NIH, NSF, CDC, GRA, GCC, VA, Children’s Healthcare of Atlanta, Enduring Heart Foundation, Wallace Coulter Foundation, Carol Ann and David Flanagan Foundation, Shriner’s Hospitals, Microsoft Research, HP, UCB, and Amazon.

Dr. Wang chairs IEEE Engineering in Medicine and Biology Society (EMBS) BHI-Technical Community and ACM Special Interest Group in Bioinformatics (SIGBio), and is the Senior Editor of IEEE Journal of Biomedical & Health Informatics (IF=7.02), and Associate Editor for IEEE Transactions on BME, and IEEE Review of BME. She was IEEE EMBS Distinguished Lecturer and PNAS (Proceeding of National Academy of Sciences) Emerging Area Editor. During the past decade, Dr. Wang has been a standing panelist for NIH Study Sections, NSF Smart and Connect Health, and Brain Canada, and has co-chaired and helped organize more than 10 conferences by IEEE Engineering in Medicine and Biologics  Gordon Research Conferences, ACM Special Interest Groups in Bioinformatics, and IEEE Future Directions.

Dr. Wang received GIT Outstanding Faculty Mentor for Undergrad Research Award and Emory University MilliPub Award for a high-impact paper cited over 1,000 times. She was selected into 2022 Georgia Tech LeadingWomen Program and 2021 Georgia Tech Provost Emerging Leaders Program. Previously, she was Carol Ann and David Flanagan Distinguished Faculty Fellow, GIT Biomedical Informatics Program Co-Director in ACTSI, and Bioinformatics and Biocomputing Core Director in NIH/NCI-Sponsored U54 Center for Cancer Nanotechnology Excellence.

Debra Lam is the Founding Director of the Partnership for Inclusive Innovation, a statewide public-private partnership committed to investing in innovative solutions for shared economic prosperity. She continues to lead smart communities and urban innovation work at Georgia Tech. Prior to this, she served as Pittsburgh’s inaugural Chief of Innovation & Performance where she oversaw all technology, sustainability, performance, and innovation functions of city government. Before that, she was a management consultant at a global engineering and design firm, Arup. She has received various awards, including being named one of the top 100 most influential people in digital government by Apolitcal.

She has worked and lived in the United Kingdom, China, Taiwan, and Hong Kong. A graduate of Georgetown University and the University of California, Berkeley, Debra serves on the board of the Community Foundation of Greater Atlanta and was most recently appointed by the U.S Department of Commerce to the Internet of Things Advisory Board.

Wei Xu is an associate professor in the School of Interactive Computing at the Georgia Institute of Technology. Xu received her Ph.D. in Computer Science from New York University, and her B.S. and M.S. from Tsinghua University. Her research interests are in natural language processing, machine learning, and social media. Her recent work focuses on text generation, stylistics, information extraction, robustness and controllability of machine learning models, and reading and writing assistive technology. She is a recipient of the NSF CAREER Award, CrowdFlower AI for Everyone Award, Criteo Faculty Research Award, and Best Paper Award at COLING'18. She has also received funds from DARPA and IARPA and is part of the Machine Learning Center and NSF AI CARING Institute at Georgia Tech.

Calton Pu, Ph.D., is a Professor in the School of Computer Science, College of Computing at the Georgia Institute of Technology. His research interests are in the areas of distributed computing, Internet data management, and operating systems. His current projects fall under the areas of cloud computing (Elba) and big data (GRAIT-DM) research. Using experimental data from realistic benchmarks, the Elba project studies the  phenomena of very short bottlenecks that have large impact on N-tier system response time. The GRAIT-DM project collects real world data from social sensors (e.g., Twitter and YouTube) and physical sensors (e.g., USGS GSN and NASA TRMM) to detect physical events and manage real-time information on them. The sponsors for Pu's research include both government funding agencies such as the National Science Foundation, and companies from industry such as IBM, Intel, and Hewlett-Packard.  He is a co-director of Center for Experimental Research in Computer Systems (CERCS) and affiliate of the Institute for Information Security and Privacy (IISP) at Georgia Tech.  Pu has taught several courses in the areas of systems and databases. In Fall, he teaches CS4220/6235 Real-Time Embedded Systems. In spring, he teaches CS4365/6365 Introduction to Enterprise Computing.

Milos Prvulovic, Ph.D., is a professor in the School of Computer Science, College of Computing at the Georgia Institute of Technology. His research focuses on hardware and software support for program monitoring, debugging, and security. His research of side-channel emmanations and side-channel attacks has led to widespread interest from professional societies, the media and additional reserach sponsors -- most recently attracting a $9.4 million award from the Defense Advanced Research Projects Agency (DARPA) for continued study. In general, the goal of his research is to make both hardware and software more reliable and secure. Prvulovic is a senior member of Association of Computing Machinery (ACM) and Institute of Electrical and Electronics Engineers (IEEE), served as the chair of the IEEE Technical Committee on Microprogramming and Microarchitecture in 2016, and is a member of the Steering Committee for the ACM/IEEE MICRO conference. Prvulovic received his doctorate from the University of Illinois at Urbana-Champaign.

Kamran Paynabar is the Fouts Family Early Career Professor and Associate Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. He received his B.Sc. and M.Sc. in Industrial Engineering from Iran in 2002 and 2004, respectively, and his Ph.D. in Industrial and Operations Engineering from The University of Michigan in 2012. He also holds an M.A. in Statistics from The University of Michigan. His research interests comprise both applied and methodological aspects of machine-learning and statistical modeling integrated with engineering principles. He is a recipient of the INFORMS Data Mining Best Student Paper Award, the Best Application Paper Award from IIE Transactions, the Best QSR refereed paper from INFORMS, and the Best Paper Award from POMS. He has been recognized with the Georgia Tech campus level 2014 CETL/BP Junior Faculty Teaching Excellence Award and the Provost Teaching and Learning Fellowship. He served as the chair of QSR of INFORMS, and the president of QCRE of IISE.

Regents' Professor and Carter N. Paden, Jr. Distinguished Chair in Metals Processing, Dave McDowell joined Georgia Tech in 1983 and holds a dual appointment in the GWW School of Mechanical Engineering and the School of Materials Science and Engineering. He served as Director of the Mechanical Properties Research Laboratory from 1992-2012. In 2012 he was named Founding Director of the Institute for Materials (IMaT), one of Georgia Tech's Interdisciplinary Research Institutes charged with fostering an innovation ecosystem for research and education. He has served as Executive Director of IMaT since 2013. McDowell's research focuses on nonlinear constitutive models for engineering materials, including cellular metallic materials, nonlinear and time dependent fracture mechanics, finite strain inelasticity and defect field mechanics, distributed damage evolution, constitutive relations and microstructure-sensitive computational approaches to deformation and damage of heterogeneous alloys, combined computational and experimental strategies for modeling high cycle fatigue in advanced engineering alloys, atomistic simulations of dislocation nucleation and mediation at grain boundaries, multiscale computational mechanics of materials ranging from atomistics to continuum, and systems-based computational materials design. A Fellow of SES, ASM International, ASME and AAM, McDowell is the recipient of the 1997 ASME Materials Division Nadai Award for career achievement and the 2008 Khan International Medal for lifelong contributions to the field of metal plasticity. McDowell currently serves on the editorial boards of several journals, and is co-Editor of the International Journal of Fatigue.