Ai-Ping Hu

Ai-Ping Hu

Ai-Ping Hu

Principal Research Engineer; Georgia Tech Research Institute
Adjunct Professor; Woodruff School of Mechanical Engineering

Ai-Ping Hu is a principal research engineer in the Georgia Tech Research Institute’s Intelligent Sustainable Technologies Division. He received his BS in Mechanical & Aerospace Engineering from Cornell University and Ph.D. from the Georgia Institute of Technology. Prior to joining GTRI in 2009, Dr. Hu co-founded a start-up robotics company applying learning control to achieve high precision in lightweight flexible manufacturing robots.  His current research interests include agricultural robotics, nonlinear control and vision-guided manipulation.

ai-ping.hu@gtri.gatech.edu

404.407.8815

Ai-Ping Hu | INTELLIGENT SUSTAINABLE TECHNOLOGIES DIVISION

Google Scholar

Research Focus Areas:
  • Autonomy
  • Additional Research:

    Agricultural Robotics; Nonlinear Control; Vision-Guided Manipulation


    IRI Connections:
    IRI And Role

    Shreyes Melkote

    Shreyes Melkote

    Shreyes Melkote

    Morris M. Bryan, Jr. Professor, Woodruff School of Mechanical Engineering
    Associate Director, Georgia Tech Manufacturing Institute
    Executive Director, Novelis Innovation Hub

    Melkote began at Tech in 1995 as an Assistant Professor. Prior to this, he was a Post-doctoral Research Associate at the University of Illinois at Urbana-Champaign where he conducted research in Machining and Machine Tools Systems in the group led by the Late Professor Richard E. DeVor and Professor Shiv G. Kapoor

    shreyes.melkote@me.gatech.edu

    404.894.8499

    Office Location:
    Callaway 381

    ME Profile Page

  • Georgia Tech Manufacturing Institute
  • Research Focus Areas:
  • Precision Machining
  • Additional Research:
    Manufacturing and Tribology; Precision machining; fixturing/handling; hybrid micromachining processes

    IRI Connections:

    Craig Tovey

    Craig Tovey

    Craig Tovey

    Professor; School of Industrial and Systems Engineering

    Craig Tovey is a Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. He also co-directs CBID, the Georgia Tech Center for Biologically Inspired Design. 

    Dr. Tovey's principal research and teaching activities are in operations research and its interdisciplinary applications to social and natural systems, with emphasis on sustainability, the environment, and energy. His current research concerns inverse optimization for electric grid management, classical and biomimetic algorithms for robots and webhosting, the behavior of animal groups, sustainability measurement, and political polarization.  

    Dr. Tovey received a Presidential Young Investigator Award in 1985 and the 1989 Jacob Wolfowitz Prize for research in heuristics. He was granted a Senior Research Associateship from the National Research Council in 1990, was named an Institute Fellow at Georgia Tech in 1994, and received the Class of 1934 Outstanding Interdisciplinary Activity Award in 2011. In 2016, Dr. Tovey was recognized by the ACM Special Interest Group on Electronic Commerce with the Test of Time Award for his work as co-author of the paper “How Hard Is It to Control an Election?” He was a 2016 Golden Goose Award recipient for his role on an interdisciplinary team that studied honey bee foraging behavior which led to the development of the Honey Bee Algorithm to allocate shared webservers to internet traffic. 

    Dr. Tovey received an A.B. in applied mathematics from Harvard College in 1977 and both an M.S. in computer science and a Ph.D. in operations research from Stanford University in 1981. 

    craig.tovey@isye.gatech.edu

    404.894.3034

    Office Location:
    Groseclose 420

    ISyE Profile Page

    University, College, and School/Department
    Research Focus Areas:
  • Algorithms & Optimizations

  • IRI Connections:

    Devi Parikh

    Devi Parikh

    Devi Parikh

    Associate Professor; School of Interactive Computing
    Research Scientist; Facebook AI Research (FAIR)

    Devi Parikh is an Assistant Professor in the School of Interactive Computing at Georgia Tech, and a Research Scientist at Facebook AI Research (FAIR). From 2013 to 2016, she was an Assistant Professor in the Bradley Department of Electrical and Computer Engineering at Virginia Tech. From 2009 to 2012, she was a Research Assistant Professor at Toyota Technological Institute at Chicago (TTIC), an academic computer science institute affiliated with University of Chicago. She has held visiting positions at Cornell University, University of Texas at Austin, Microsoft Research, MIT, Carnegie Mellon University, and Facebook AI Research. She received her M.S. and Ph.D. degrees from the Electrical and Computer Engineering department at Carnegie Mellon University in 2007 and 2009 respectively. She received her B.S. in Electrical and Computer Engineering from Rowan University in 2005. Her research interests include computer vision and AI in general and visual recognition problems in particular. Her recent work involves exploring problems at the intersection of vision and language, and leveraging human-machine collaboration for building smarter machines. She has also worked on other topics such as ensemble of classifiers, data fusion, inference in probabilistic models, 3D reassembly, barcode segmentation, computational photography, interactive computer vision, contextual reasoning, hierarchical representations of images, and human-debugging.

    parikh@gatech.edu

    Office Location:
    Coda S1165B

    Visual Intelligence Lab

  • College of Computing Profile
  • Google Scholar

    Research Focus Areas:
  • Collaborative Robotics
  • Shaping the Human-Technology Frontier
  • Additional Research:

    Artificial Intelligence; Computer Vision; Natural Language Processing


    IRI Connections:

    James Hays

    James Hays

    James Hays

    Associate Professor; School of Interactive Computing
    Principal Scientist; Argo AI

    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.

    hays@cc.gatech.edu

    Office Location:
    CODA 11th floor

    College of Computing Profile

  • Personal IC Webpage
  • Google Scholar

    Research Focus Areas:
  • Collaborative Robotics
  • Platforms and Services for Socio-Technical Frontier
  • Shaping the Human-Technology Frontier
  • Additional Research:

    Computer Vision; Computer Graphics; Machine Learning; Robotics


    IRI Connections:

    Aaron Young

    Aaron Young

    Aaron Young

    Associate Professor, George W. Woodruff School of Mechanical Engineering
    Director, EPIC Lab

    Aaron Young is an Associate Professor in Mechanical Engineering and is interested in designing and improving powered orthotic and prosthetic control systems for persons with stroke, neurological injury or amputation. His previous experience includes a post-doctoral fellowship at the University of Michigan in the Human Neuromechanics Lab working with exoskeletons and powered orthoses to augment human performance. He has also worked on the control of upper and lower limb prostheses at the Center for Bionic Medicine (CBM) at the Rehabilitation Institute of Chicago. His master's work at CBM focused on the use of pattern recognition systems using myoelectric (EMG) signals to control upper limb prostheses. His dissertation work at CBM focused on sensory fusion of mechanical and EMG signals to enable an intent recognition system for powered lower limb prostheses for use by persons with a transfemoral amputation.

    aaron.young@me.gatech.edu

    404.385.5306

    Office Location:
    GTMI 433

    Exoskeleton and Prosthetic Intelligent Controls (EPIC) Lab

  • ME Profile Page
  • Google Scholar

    Research Focus Areas:
  • Human Augmentation
  • Miniaturization & Integration
  • Molecular, Cellular and Tissue Biomechanics
  • Additional Research:

    Powered prosthesis; EMG signal processing. Young's research is focused on developing control systems to improve prosthetic and orthotic systems. His research is aimed at developing clinically translatable research that can be deployed on research and commercial systems in the near future. Some of the interesting research questions are how to successfully extract user intent from human subjects and how to use these signals to allow for accurate intent identification. Once the user intent is identified, smart control systems are needed to maximally enable individuals to accomplish useful tasks. For lower limb devices, these tasks might include standing from a seated position, walking, or climbing a stair. We hope to improve clinically relevant measures with powered mechatronic devices, including reducing metabolic cost, improving biomechanics and decreasing the time required to perform daily tasks of living.


    IRI Connections:

    W. Hong Yeo

    W. Hong Yeo

    W. Hong Yeo

    Associate Professor, Woodruff School of Mechanical Engineering
    Faculty, Wallace H. Coulter Department of Biomedical Engineering
    Director, WISH Center

    W. Hong Yeo is a TEDx alumnus and biomechanical engineer. Since 2017, Yeo is an assistant professor of the George W. Woodruff School of Mechanical Engineering and Program Faculty in Bioengineering at the Georgia Institute of Technology. Before joining Georgia Tech, he has worked at Virginia Commonwealth University Medicine and Engineering as an assistant professor from 2014-2016. Yeo received his BS in mechanical engineering from INHA University, South Korea in 2003 and he received his Ph.D. in mechanical engineering and genome sciences at the University of Washington, Seattle in 2011. From 2011-2013, he worked as a postdoctoral research fellow at the Beckman Institute and Frederick Seitz Materials Research Laboratory at the University of Illinois at Urbana-Champaign. His research focuses on the fundamental and applied aspects of nanomechanics, biomolecular interactions, soft materials, and nano-microfabrication for nanoparticle biosensing and unusual electronic system development, with an emphasis on bio-interfaced translational nanoengineering. is an Editorial Board Member of Scientific Reports (Nature Publishing Group) and Scientific Pages of Bioengineering, and Review Editor of Frontiers of Materials (Frontiers Publishing Group). He serves as a technical committee member for IEEE Electronic Components and Technology Conference and Korea Technology Advisory Group at Korea Institute for Advancement of Technology. He has published more than 40 peer-reviewed journal articles, and has three issued and more than five pending patents. His research has been funded by MEDARVA Foundation, Thomas F. and Kate Miller Jeffress Memorial Trust, CooperVision, Inc., Korea Institute of Materials Science, Commonwealth Research Commercialization, and State Council of Virginia. Yeo is a recipient of a number of awards, including BMES Innovation and Career Development Award, Virginia Commercialization Award, Blavatnik Award Nominee, NSF Summer Institute Fellowship, Notable Korean Scientist Awards, and Best Paper/Poster Awards at ASME conferences.

    woonhong.yeo@me.gatech.edu

    404.385.5710

    Office Location:
    Pettit 204

    ME Profile Page

  • Center for Human-Centric Interfaces & Engineering
  • Google Scholar

    Research Focus Areas:
  • Flexible Electronics
  • Human Augmentation
  • Micro and Nano Device Engineering
  • Miniaturization & Integration
  • Neuroscience
  • Additional Research:

    Human-machine interface; hybrid materials; bio-MEMS; Soft robotics. Flexible Electronics; Human-machine interface; hybrid materials; Electronic Systems, Devices, Components, & Packaging; bio-MEMS; Soft robotics. Yeo's research in the field of biomedical science and bioengineering focuses on the fundamental and applied aspects of biomolecular interactions, soft materials, and nano-microfabrication for the development of nano-biosensors and soft bioelectronics.


    IRI Connections: