Judy Hoffman

Judy Hoffman's profile picture
judy@gatech.edu

Judy Hoffman is an associate  professor in the School of Interactive Computing at Georgia Tech, a member of the Machine Learning Center, and a Diversity and Inclusion Fellow. Her research lies at the intersection of computer vision and machine learning with specialization in domain adaptation, transfer learning, adversarial robustness, and algorithmic fairness. She has received numerous awards including the Samsung AI Researcher of the Year Award (2021), the NVIDIA female leader in computer vision award (2020), AIMiner top 100 most influential scholars in Machine Learning (2020), MIT EECS Rising Star in 2015, and is a recipient of the NSF Graduate Fellowship. In addition to her research, she co-founded and continues to advise for Women in Computer Vision, an organization which provides mentorship and travel support for early-career women in the computer vision community. Prior to joining Georgia Tech, she was a research scientist at Facebook AI Research. She received her PhD in Electrical Engineering and Computer Science from UC Berkeley in 2016 after which she completed postdocs at Stanford University (2017) and UC Berkeley (2018).

Associate Professor; College of Computing
Additional Research

Machine LearningComputer VisionArtificial Intelligence

IRI/Group and Role
People and Technology > Affiliated Faculty
Robotics > Core
People and Technology
Robotics
University, College, and School/Department
Georgia Institute of Technology > College of Computing

Kinsey Herrin

Kinsey  Herrin's profile picture
kinsey.herrin@me.gatech.edu

Kinsey Herrin is a Senior Research Scientist in the Woodruff George W. Woodruff School of Mechanical Engineering. She supports a number of wearable robotics research efforts across Georgia Tech's campus and holds the ABC credential for a Certified Prosthetist/Orthotist. Kinsey is passionate about advancing state of the art technology available to individuals with physical challenges and amputations as well as the exploration of wearable technology to augment and enhance human performance. She was the former Clinical Liaison & Coordinator and academic faculty within the Georgia Tech MSPO program. She completed her residency training in orthotics and prosthetics at Children's Healthcare of Atlanta and the University of Michigan, respectively, and has over 10 years of experience working with and treating a wide variety of patients in clinical and research settings.

Principal Research Scientist; School of Mechanical Engineering
Phone
404.894.6269
Office
555 14th St Building
Additional Research

wearable technology to augment and enhance human performance.

IRI/Group and Role
Robotics > Core Faculty
Robotics
University, College, and School/Department
Georgia Institute of Technology > College of Engineering > Woodruff School of Mechanical Engineering
Research Areas
Artificial Intelligence

Larry Heck

Larry Heck's profile picture
larryheck@gatech.edu

Larry P. Heck is a Professor with a joint appointment in the Schools of Electrical and Computer Engineering and Interactive Computing at the Georgia Institute of Technology. He holds the Rhesa S. Farmer Distinguished Chair of Advanced Computing Concepts and is a Georgia Research Alliance Eminent Scholar. His received the BSEE from Texas Tech University (1986), and MSEE and PhD EE from the Georgia Institute of Technology (1989,1991). He is a Fellow of the IEEE, inducted into the Academy of Distinguished Engineering Alumni at Georgia Tech and received the Distinguished Engineer Award from the Texas Tech University. He was a Senior Research Engineer with SRI (1992-98), VP of R&D at Nuance (1998-2005), VP of Search and Advertising Sciences at Yahoo! (2005-2009), Chief Scientist of the Microsoft Speech products and Distinguished Engineer in Microsoft Research (2009-2014), Principal Scientist with Google Research (2014-2017), CEO of Viv Labs and SVP at Samsung (2017-2021).

Professor
Rhesa Screven Farmer Jr., Advanced Computing Concepts Chair
Georgia Research Alliance Eminent Scholar
IRI/Group and Role
Data Engineering and Science > Faculty
Robotics > Core
Data Engineering and Science
Robotics
Tech AI > ITAB
University, College, and School/Department
Georgia Institute of Technology > College of Engineering
Research Areas
Artificial Intelligence

Michael Heiges

Michael Heiges's profile picture
mike.heiges@gtri.gatech.edu

Mike Heiges received the Ph.D. degree from the Georgia Tech School of Aerospace Engineering, in 1989. He is currently a Principal Research Engineer with the Georgia Tech Research Institute, where he works as the Associate Division Chief of the Robotics and Autonomous Systems Division. His background is in aircraft flight dynamics and automatic control and he manages several of GTRI’s swarming UAV programs. He is an Associate Fellow of the American Institute of Aeronautics and Astronautics (AIAA) and a member of the Association for Unmanned Vehicle Systems International (AUVSI).

Senior Research Scientist; Georgia Tech Research Institute
Additional Research

Autonomy

IRI/Group and Role
Robotics > Affiliated Faculty
Robotics
GTRI
Geogia Tech Research Institute > Aerospace, Transportation & Advanced Systems Laboratory
Research Areas
Artificial Intelligence

James Hays

James Hays's profile picture
hays@cc.gatech.edu

Professor Hays's research interests span computer vision, graphics, robotics, and machine learning. Before joining Georgia Tech, he was the Manning assistant professor of computer science at Brown University. James was a post-doc at Massachusetts Institute of Technology and received his Ph.D. from Carnegie Mellon University in 2009. James received his B.S. in Computer Science from Georgia Tech in 2003.

Professor; School of Interactive Computing
Principal Scientist; Argo AI
Office
CODA 11th floor
Additional Research

Computer Vision; Computer Graphics; Machine Learning; Robotics

IRI/Group and Role
People and Technology > Affiliated Faculty
Robotics > Core Faculty
People and Technology
Robotics
University, College, and School/Department
Georgia Institute of Technology > College of Computing > School of Interactive Computing
Research Areas
Artificial Intelligence

Simeon Harbert

Simeon Harbert's profile picture
sim.harbert@gtri.gatech.edu
Research Scientist; Georgia Tech Research Institute
Additional Research

Autonomy

IRI/Group and Role
Robotics > Affiliated Faculty
Robotics
GTRI
Geogia Tech Research Institute > Aerospace, Transportation & Advanced Systems Laboratory
Research Areas
Artificial Intelligence

Matthew Hale

Matthew Hale's profile picture
mhale30@gatech.edu

Matthew Hale joined the School of Electrical and Computer Engineering at Georgia Tech as an Associate Professor in the spring of 2024. His research interests include multi-agent control and optimization, deceptive decision-making, and applications of these methods to drones and other robots. He has received the NSF CAREER Award, ONR YIP, and AFOSR YIP. Prior to joining Georgia Tech, Matthew was Assistant Professor of Mechanical and Aerospace Engineering at the University of Florida. He received his BSE from the University of Pennsylvania, and he received his MS and PhD from Georgia Tech.

Associate Professor
Additional Research

Asynchronous network coordination Graph theory in multi-agent systems.Privacy in control 

IRI/Group and Role
Robotics > Core Faculty
Robotics
University, College, and School/Department
Georgia Institute of Technology > College of Engineering > School of Electrical and Computer Engineering
Research Areas
Artificial Intelligence

Gary Gray

Gary Gray's profile picture
gary.gray@gtri.gatech.edu
Research Scientist; Georgia Tech Research Institute
Additional Research

Autonomy

IRI/Group and Role
Robotics > Affiliate
Robotics
GTRI
Geogia Tech Research Institute > Aerospace, Transportation & Advanced Systems Laboratory
Research Areas
Artificial Intelligence

Nancey Green Leigh

Nancey Green Leigh's profile picture
ngleigh@design.gatech.edu

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.

Professor, School of City & Regional Planning
Associate Dean for Research, College of Design
Phone
404.894.9839
Office
Architecture-East Building, 209
Additional Research

economic development; robots & AI impact on workers; firms & regions; City and Regional Planning; System Design & Optimization; Design Sciences

IRI/Group and Role
Data Engineering and Science > Affiliated Faculty
Robotics > Core Faculty
Energy > Research Community
Data Engineering and Science
Robotics
Energy
University, College, and School/Department
Georgia Institute of Technology > College of Design
Research Areas
Artificial Intelligence
Energy
  • Energy Economics, Policy, and Public Health
  • Sustainable Communities

Daniel Goldman

Daniel Goldman's profile picture
dgoldman3@gatech.edu

My research integrates my work in complex fluids and granular media and the biomechanics of locomotion of organisms and robots to address problems in nonequilibrium systems that involve interaction of matter with complex media. For example, how do organisms like lizards, crabs, and cockroaches cope with locomotion on complex terrestrial substrates (e.g. sand, bark, leaves, and grass). I seek to discover how biological locomotion on challenging terrain results from the nonlinear, many degree of freedom interaction of the musculoskeletal and nervous systems of organisms with materials with complex physical behavior. The study of novel biological and physical interactions with complex media can lead to the discovery of principles that govern the physics of the media. My approach is to integrate laboratory and field studies of organism biomechanics with systematic laboratory studies of physics of the substrates, as well as to create mathematical and physical (robot) models of both organism and substrate. Discovery of the principles of locomotion on such materials will enhance robot agility on such substrates

Dunn Family Professor; School of Physics
Director; Complex Rheology And Biomechanics (CRAB) Lab
Phone
404.894.0993
Office
Howey C202
Additional Research

biomechanics; neuromechanics; granular media; robotics; robophysics

IRI/Group and Role
Bioengineering and Bioscience > Faculty
Robotics > Core Faculty
Robotics
Bioengineering and Bioscience
Matter and Systems > Affiliated Faculty
University, College, and School/Department
Georgia Institute of Technology > College of Sciences > School of Physics
Research Areas
Artificial Intelligence
Subscribe to Robotics