Peng Chen

Peng Chen

Peng Chen

Assistant Professor

Dr. Chen is an Assistant Professor in the School of Computational Science and Engineering. Previously he was a Research Scientist at the Oden Institute for Computational Engineering and Sciences at the University of Texas at Austin. Dr. Chen’s research is in the multidisciplinary fields of computational mathematics, data science, scientific machine learning, and parallel computing with various applications in materials, energy, health, and natural hazard. Specifically, his research focuses on developing fast, scalable, and parallel computational methods for integrating data and models under high-dimensional uncertainty to make (1) statistical model learning via Bayesian inference, (2) reliable system prediction with uncertainty quantification, (3) efficient data acquisition through optimal experimental design, and (4) robust control and design by stochastic optimization.

pchen402@gatech.edu

Office Location:
CODA | E1350B

Scientific Machine Learning (SciML) and Uncertainty Quantification (UQ)

Google Scholar

Research Focus Areas:
  • Advanced Materials
  • Geosystems
  • Machine Learning
  • Additional Research:

    Bayesian InferenceInfectious DiseasesOptimal Experimental DesignPlasma FusionStochastic OptimizationUncertainty Quantification


    IRI Connections:

    Zsolt Kira

    Zsolt Kira

    Zsolt Kira

    Assistant Professor; School of Interactive Computing
    Research Faculty; Georgia Tech Research Institute
    Associate Director; Machine Learning @ GT
    Director; RobotIcs Perception and Learning (RIPL) Lab

    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.).

    zkira@gatech.edu

    Office Location:
    CODA room S1181B

    Robotics Perception & Learning Lab

    Google Scholar

    Research Focus Areas:
  • Autonomy
  • Additional Research:

    Machine Learning; Perception; Robotics; Artificial Intelligence


    IRI Connections:

    Larry Heck

    Larry Heck

    Larry Heck

    Professor
    Rhesa Screven Farmer Jr., Advanced Computing Concepts Chair
    Georgia Research Alliance Eminent Scholar

    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).

    larryheck@gatech.edu

    College Website

    Google Scholar

    University, College, and School/Department
    Research Focus Areas:
  • Artificial Intelligence (AI)
  • Conversational systems
  • Machine Learning
  • Natural language processing (NLP)
  • Speech/speaker recognition

  • IRI Connections:

    Shreyas Kousik

    Shreyas Kousik

    Shreyas Kousik

    Assistant Professor

    Shreyas Kousik is an assistant professor in the George W. Woodruff School of Mechanical Engineering. Previously, Shreyas was a postdoctoral scholar at Stanford University, working in the ASL under Prof. Marco. Kousik completed a postdoc with Prof. Grace Gao in the NAV Lab. He received his Ph.D. in Mechanical Engineering at the University of Michigan, advised by Prof. Ram Vasudevan in the ROAHM Lab and received his undergraduate degree in Mechanical Engineering at Georgia Tech, advised by Prof. Antonia Antoniou.

    Kousik’s research is focused on guaranteeing safety in autonomy via collision avoidance methods for robots. His lab’s goal is to translate safety in math to safety on real robots by exploring ways to model uncertainty from autonomous perception and estimation systems and ensure that these models are practical for downstream planning and control tasks

    shreyas.kousik@me.gatech.edu

    Lab Webpage

  • Github
  • Google Scholar

    Research Focus Areas:
  • Autonomy
  • Collaborative Robotics
  • Human-Centered Robotics
  • Robotics

  • IRI Connections:

    Brian Magerko

    Brian Magerko

    Brian Magerko

    Professor and Director of Graduate Studies in Digital Media

    magerko@gatech.edu

    Website

    University, College, and School/Department
    Research Focus Areas:
  • Platforms and Services for Socio-Technical Frontier
  • Shaping the Human-Technology Frontier
  • Additional Research:
    Interactive Narrative; Serious Game Design Development; Cognitive Architechtures; Intelligent Agents; Human-Computer Interaction; Educational Media; Improvisation; Cognitive Science

    IRI Connections:

    Alex Endert

    Alex Endert

    Alex Endert

    Assistant Professor

    Alex Endert is an Associate Professor in the School of Interactive Computing at Georgia Tech. He directs the Visual Analytics Lab, where he works with his students to design and study how interactive visual tools help people make sense of data and AI. His lab often tests these advances in domains, including intelligence analysis, cyber security, decision-making, manufacturing safety, and others. His lab receives generous support from sponsors, including NSF, DOD, DHS, DARPA, DOE, and industry. In 2018, he received a CAREER award from the National Science Foundation for his work on visual analytics by demonstration. He received his Ph.D. in Computer Science from Virginia Tech in 2012. In 2013, his work on Semantic Interaction was awarded the IEEE VGTC VPG Pioneers Group Doctoral Dissertation Award, and the Virginia Tech Computer Science Best Dissertation Award.

    endert@gatech.edu

    404-385-4477

    Website

    University, College, and School/Department
    Research Focus Areas:
  • Artificial Intelligence (AI)
  • Shaping the Human-Technology Frontier
  • Additional Research:

    Visual Analytics


    IRI Connections:

    Munmun De Choudhury

    Munmun De Choudhury

    Munmun De Choudhury

    Assistant Professor

    Munmun De Choudhury is currently an associate professor at the School of Interactive Computing, Georgia Tech. Munmun’s research interests are in computational social science, with a focus on reasoning about personal and societal well-being from social digital footprints.

    mchoudhu@cc.gatech.edu

    404-385-8603

    Website

    University, College, and School/Department
    Research Focus Areas:
  • Lifelong Health and Well-Being
  • Machine Learning
  • Platforms and Services for Socio-Technical Frontier
  • Additional Research:

    Social Media; Social Computing; Computational Social Science; Mental Health; Natural Language


    IRI Connections:

    Agata Rozga

    Agata Rozga

    Agata Rozga

    Research Scientist II

    Agata Rozga is a psychologist with expertise and 13 years of experience forging a new interdisciplinary research area at the intersection of computing and psychology called computational behavioral science. The research vision is to transform the measurement, analysis, and understanding of health-related behaviors by leveraging advances in sensing, wearable and mobile technologies, and computational analysis methods. The ultimate goal is to develop tools that can lead to better detection, monitoring, and treatment of a variety of chronic health conditions.

    One key area Dr. Rozga’s research has focused on is understanding early trajectories and predictors of social communication in children diagnosed with Autism Spectrum Disorder. In her most recent work, she is applying novel computational methods to longitudinal measures of communication behavior to understand different pathways to language in autism, including failure to acquire spoken language by age 5. Dr. Rozga’s research has recently expanded to include a focus on Mild Cognitive Impairment, with an eye toward developing novel AI-based systems to help monitor cognitive and functional decline in everyday activities, to deliver appropriate in-situ supports, and to support care networks.

    Dr. Rozga serves as the Director of Translational Research for the Georgia Tech-led NSF National AI Institute for Collaborative Assistance and Responsive Interaction for Networked Groups (AI-CARING), and as the Programs and Research Director for the Technology Core of the Cognitive Empowerment Program at the Emory Brain-Health Center. She was previously the Head of Product for Diligent Robotics, https://www.diligentrobots.com/.

    agata@gatech.edu

    404-894-2304

    Website

    Research Focus Areas:
  • Lifelong Health and Well-Being
  • Shaping the Human-Technology Frontier
  • Additional Research:
    Computational Behavioral Science; Applications of Machine Learning to Developmental Health

    IRI Connections:

    Alain Louchez

    Alain Louchez

    Alain Louchez

    Principal Research Associate

    Alain Louchez is the Managing Director of the Center for the Development and Application of Internet of Things Technologies (CDAIT pronounced sedate) in charge of directing the Internet of Things (IoT)-related development efforts across the Georgia Institute of Technology (Georgia Tech).  He is a member of the Advisory Council of the Georgia Tech Center for International Business Education and Research (CIBER) and the Georgia Tech Lorraine (European campus) Advisory Board.

    Prior to joining Georgia Tech, he held various executive positions including Vice President for BellSouth (now AT&T) Europe; Executive Director of BellSouth France, and General Manager of GTE/Verizon Media Ventures’ wireless video operations in Hawaii. Most recently, he was Vice President of Strategic Management at Numerex, a company focused on machine-to-machine communications (M2M). He was instrumental in the development of the M2M Standardization Task Force at the Global Standards Collaboration.

    Alain served on the board of directors of France Telecom Mobiles Data (France Telecom’s wireless data subsidiary); Cofira (Videndi’s founding parent of SFR, France’s second largest telecommunications operator); Com-Dev (a subsidiary of the Caisse des Dépôts et Consignations group in charge of cable TV), SINEDI/Com-Dev Images (a holding company dedicated to investments in some French thematic TV channels such as Canal J, Planète, CinéCinéma, etc.) and Datech (BellSouth’s French direct marketing subsidiary).

    alain.louchez@gatech.edu

    Website

    Research Focus Areas:
  • Platforms and Services for Socio-Technical Frontier
  • Additional Research:
    Internet of Things

    IRI Connections:

    Peter Swire

    Peter Swire

    Peter Swire

    Associate Director, Policy

    Peter Swire, J.D., is Associate Director of Policy for the Institute for Information Security & Privacy. Swire has been a privacy and cyberlaw scholar, government leader, and practitioner since the rise of the Internet in the 1990's. In 2013, he became the Nancy J. and Lawrence P. Huang Professor of Law and Ethics at the Georgia institute of Technology. Swire teaches in the Scheller College of Business, with appointments by courtesy with the College of Computing and School of Public Policy. He is senior counsel with the law firm of Alston & Bird LLP. Swire served as one of five members of President Obama's Review Group on Intelligence and Communications Technology. Prior to that, he was co-chair of the global Do Not Track process for the World Wide Web Consortium. He is a senior fellow with the Future of Privacy Forum, and a policy fellow with the Center for Democracy and Technology. Under President Clinton, Swire was the chief counselor for privacy in the U.S. Office of Management and Budget -- the only person to date to have U.S. government-wide responsibility for privacy policy. In that role, his activities included being White House coordinator for the HIPAA medical privacy rule, chairing a White House task force on how to update wiretap laws for the Internet age, and helping negotiate the U.S.-E.U. Safe Harbor agreement for trans-border data flows.Under President Obama, he was special assistant to the President for economic policy. Swire is author of five books and numerous scholarly papers. He has testified often before the Congress, and been quoted regularly in the press. He has served on privacy and security advisory boards for companies including Google, IBM, Intel, and Microsoft, as well as a number of start-ups. Swire graduated from Princeton University, summa cum laude, and the Yale Law School, where he was an editor of the Yale Law Journal.

    peter.swire@scheller.gatech.edu

    404-385-3279

    Office Location:
    Scheller 4163

    Website

    University, College, and School/Department
    Research Focus Areas:
  • Cybersecurity Public Policy
  • Additional Research:
    Data Security & Privacy

    IRI Connections: