Samuel Coogan

Samuel Coogan
sam.coogan@gatech.edu

Sam Coogan received the B.S. degree in Electrical Engineering from Georgia Tech and the M.S. and Ph.D. degrees in Electrical Engineering from the University of California, Berkeley. In 2015, he was a postdoctoral research engineer at Sensys Networks, Inc., and in 2012 he spent time at NASA's Jet Propulsion Lab. Before joining Georgia Tech in 2017, he was an assistant professor in the Electrical Engineering department at UCLA from 2015–2017. His awards and recognitions include the 2020 Donald P Eckman Award from the American Automatic Control Council recognizing "an outstanding young engineer in the field of automatic control", a Young Investigator Award from the Air Force Office of Scientific Research in 2019, a CAREER Award from the National Science Foundation in 2018, and the Outstanding paper award for the IEEE Transactions on Control of Network Systems in 2017.

Demetrius T. Paris Junior Professor; School of Electrical and Computer Engineering
Associate Professor
Phone
404.385.2402
Office
TSRB 437
Additional Research

Control Theory; Formal Methods; Cyber-Physical Systems; Transportation Systems

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

Thomas Collins

Thomas Collins
tom.collins@gatech.edu
Professor of the Practice; School of Electrical and Computer Engineering
Phone
404.385.2637
Office
Klaus 1340
Additional Research

Autonomy

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

Sonia Chernova

Sonia Chernova
chernova@cc.gatech.edu

I am an Associate Professor in the School of Interactive Computing at Georgia Tech. I received my Ph.D. and B.S. degrees in Computer Science from Carnegie Mellon University, and held positions as a Postdoctoral Associate at the MIT Media Lab and as Assistant Professor at Worcester Polytechnic Institute prior to joining Georgia Tech. I direct the Robot Autonomy and Interactive Learning (RAIL) lab, where we work on developing robots that are able to effectively operate in human environments. My research interests span robotics and artificial intelligence, including semantic reasoning, adjustable autonomy, human computation and cloud robotics. Please visit the RAIL lab website for a description of our latest projects.

Associate Professor; School of Interactive Computing
Director; Robot Autonomy and Interactive Learning (RAIL) Lab
Phone
404.385.4753
Additional Research

Robotics; Artificial Intelligence; Semantic Reasoning; Adjustable Autonomy; Human Computation and Cloud Robotics.

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

Yongxin Chen

Yongxin  Chen
yongchen@gatech.edu

Yongxin Chen was born in Ganzhou, Jiangxi, China. He received his BSc in Mechanical Engineering from Shanghai Jiao Tong university, China, in 2011, and a Ph.D. degree in Mechanical Engineering, under the supervision of Tryphon Georgiou, from University of Minnesota in 2016. He is currently an Assistant Professor in the School of Aerospace Engineering at Georgia Institute of Technology. Before joining Georgia Tech, he had a one-year Research Fellowship in the Department of Medical Physics at Memorial Sloan Kettering Cancer Center with Allen Tannenbaum from 2016.8 to 2017.8 and was an Assistant Professor in the Department of Electrical and Computer Engineering at Iowa State University from 2017.8 to 2018.8. He received the George S. Axelby Best Paper Award (IEEE Transaction on Automatic Control) in 2017 for his joint work "Optimal steering of a linear stochastic system to a final probability distribution, Part I" with Tryphon Georgiou and Michele Pavon.

Assistant Professor; School of Aerospace Engineering
Phone
404.894.2765
Office
Guggenheim 448B
Additional Research

control theory; optimal mass transport; machine learning; robotics; optimization

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

Young-Hui Chang

Young-Hui Chang
yh.chang@ap.gatech.edu

Young-Hui Chang is a professor in the School of Biological Sciences, Associate Dean of Faculty for College of Sciences, and director of research in the Georgia Tech Comparative Neuromechanics Lab where he studies the neuromechanics of movement in humans and other animals. Chang’s aim is to understand fundamental principles by which we control our movements as we move through our physical environment. This requires knowledge of the neural control of movement, the biomechanics of our musculoskeletal system, and the physics of our environmental interactions. The team also studies how our body adapts to acute and chronic changes. This involves processes of motor learning that are involved in everything from clinical rehabilitation to elite sports performance.

Professor
Phone
404-894-9993
Office
1309 B
Additional Research

Biomechanics

Neural signaling

Neuromechanics

IRI/Group and Role
Bioengineering and Bioscience > Faculty
Bioengineering and Bioscience
Robotics > Core Faculty
University, College, and School/Department
Georgia Institute of Technology > College of Sciences > School of Biological Sciences
Research Areas
Robotics
  • Field and Service Robotics
  • Human-Centered Robotics
  • Safe, Secure, and Resilient Autonomy
  • Sensing and Perception
  • Manipulation and Locomotion

Dhruv Batra

Dhruv Batra
dbatra@gatech.edu

Dhruv Batra is an Associate Professor in the School of Interactive Computing at Georgia Tech. His research interests lie at the intersection of machine learning, computer vision, natural language processing, and AI, with a focus on developing intelligent systems that are able to concisely summarize their beliefs about the world with diverse predictions, integrate information and beliefs across different sub-components or `modules' of AI (vision, language, reasoning, dialog), and interpretable AI systems that provide explanations and justifications for why they believe what they believe. In past, he has also worked on topics such as interactive co-segmentation of large image collections, human body pose estIMaTion, action recognition, depth estIMaTion, and distributed optimization for inference and learning in probabilistic graphical models. He is a recipient of the Office of Naval Research (ONR) Young Investigator Program (YIP) award (2016), the National Science Foundation (NSF) CAREER award (2014), Army Research Office (ARO) Young Investigator Program (YIP) award (2014), Virginia Tech College of Engineering Outstanding New Assistant Professor award (2015), two Google Faculty Research Awards (2013, 2015), Amazon Academic Research award (2016), Carnegie Mellon Dean's Fellowship (2007), and several best paper awards (EMNLP 2017, ICML workshop on Visualization for Deep Learning 2016, ICCV workshop Object Understanding for Interaction 2016) and teaching commendations at Virginia Tech. His research is supported by NSF, ARO, ARL, ONR, DARPA, Amazon, Google, Microsoft, and NVIDIA. Research from his lab has been extensively covered in the media (with varying levels of accuracy) at CNN, BBC, CNBC, Bloomberg Business, The Boston Globe, MIT Technology Review, Newsweek, The Verge, New Scientist, and NPR. From 2013-2016, he was an Assistant Professor in the Bradley Department of Electrical and Computer Engineering at Virginia Tech, where he led the VT Machine Learning & Perception group and was a member of the Virginia Center for Autonomous Systems (VaCAS) and the VT Discovery Analytics Center (DAC). From 2010-2012, he was a Research Assistant Professor at Toyota Technological Institute at Chicago (TTIC), a philanthropically endowed academic computer science institute located on the University of Chicago campus. He received his M.S. and Ph.D. degrees from Carnegie Mellon University in 2007 and 2010 respectively, advised by Tsuhan Chen. In past, he has held visiting positions at the Machine Learning Department at CMU, CSAIL MIT, Microsoft Research, and Facebook AI Research.

Associate Professor; School of Interactive Computing
Additional Research

Machine Learning; Computer Vision; Artificial Intelligence

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

Stephen Balakirsky

Stephen Balakirsky
stephen.balakirsky@gtri.gatech.edu

Stephen Balakirsky is the Chief Scientist for the Aerospace, Transportation & Advanced Systems Laboratory at the Georgia Tech Research Institute (GTRI), and the Director of Technical Initiatives at the Petit Institute for Bioengineering and Bioscience (IBB) at Georgia Tech.

Balakirsky’s research interests include robotic architectures, planning, bio-automation, robotic standards, and autonomous systems testing. His work in knowledge driven robotics couples real-time sensors and knowledge repositories to allow for flexibility and agility in robotic systems ranging from assembly and manufacturing systems to surveillance and logistics systems. The framework promotes software reuse and the ability to detect and correct for execution errors.

Previously, Balakirsky worked as a project manager at the National Institute of Standards and Technology (NIST) and was a senior research engineer at the Army Research Laboratory (ARL). At ARL, Balakirsky performed mobile robotics research in several areas, including command and control, mapping, human-computer interfaces, target tracking, vision processing and tele-operated control.

Regents' Researcher; Georgia Tech Research Institute
Director of Technical Initiatives; IBB
Chief Scientist | Aerospace, Transportation & Advanced Systems Laboratory (ATAS); GTRI
Phone
404.407.8547
Office
Food Processing Technology Building, 640 Strong St, Atlanta, GA 30318
Additional Research

Robotics; Planning; Knowledge Representation; Ontologies

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

Alexander T. Adams

Alexander Adams
aadams322@gatech.edu

Alex Adams’s research focuses on designing, fabricating, and implementing new ubiquitous and wearable sensing systems. In particular, he is interested in how to develop these systems using equity-driven design principles for healthcare. Alex leverages sensing, signal processing, and fabrication techniques to design, deploy, and evaluate novel sensing technologies.

Originally a musician, Alex became fascinated by how he could capture and manipulate sounds through analog hardware and digital signal processing, which led him back to his hometown (Concord, NC). Alex completed his BS at the University of North Carolina at Charlotte in 2014 and his Ph.D. at Cornell University in 2021 (advised by Professor Tanzeem Choudhury). Alex then became the resident Research Scientist for the Precision Behavioral Health Initiative at Cornell Tech (NYC) until the fall of 2022, when he joined the School of Interactive Computing at the Georgia Institute of Technology. Currently, his research focuses on the equity-driven design and the development of multi-modal sensing systems to simultaneously assess mental and physical health to enable a new class of mobile health technologies.

Assistant Professor
Office
237 TSRB
IRI/Group and Role
Bioengineering and Bioscience > Faculty
Robotics > Core Faculty
Bioengineering and Bioscience
People and Technology > Affiliated Faculty
University, College, and School/Department
Georgia Institute of Technology > College of Computing > School of Interactive Computing
Research Areas
Artificial Intelligence