Azadeh Ansari

Azadeh Ansari

Azadeh Ansari

Sutterfield Family Early Career Professor, School of Electrical and Computer Engineering
Assistant Professor, School of Electrical and Computer Engineering

Azadeh Ansari received the B.S. degree in Electrical Engineering from Sharif University of Technology, Iran in 2010. She earned the M.S and Ph.D. degrees in Electrical Engineering from University of Michigan, Ann Arbor in 2013 and 2016 respectively, focusing upon III-V piezoelectric semiconductor materials and MEMS devices and microsystems for RF applications. Prior to joining the ECE faculty at Georgia Tech, she was a postdoctoral scholar in the Physics Department at Caltech from 2016 to 2017. Ansari is the recipient of a 2017 ProQuest Distinguished Dissertation Award from the University of Michigan for her research on "Gallium Nitride integrated microsystems for RF applications." She received the University of Michigan Richard and Eleanor Towner Prize for outstanding Ph.D. research in 2016. She is a member of IEEE, IEEE Sensor's young professional committee and serves as a technical program committee member of IEEE IFCS 2018.

azadeh.ansari@ece.gatech.edu

404.385.5994

Office Location:
TSRB 544

Personal Research Website

  • ECE Profile Page
  • Google Scholar

    Research Focus Areas:
    • Human Augmentation
    • Miniaturization & Integration
    • Robotics
    • Semiconductors
    Additional Research:

    Sensors and actuatorsMEMS and NEMSIII-V Semiconductor devices


    IRI Connections:

    Alex Abramson

    Alex Abramson

    Alex Abramson

    Assistant Professor, School of Chemical and Biomolecular Engineering

    Alex Abramson is an assistant professor in the School of Chemical and Biomolecular Engineering at Georgia Tech. His research, which focuses on drug delivery and bioelectronic therapeutics, has been featured in news outlets such as The New York Times, NPR, and Wired. Abramson has received several recognitions for scientific innovation, including being named a member of the Forbes 30 Under 30 Science List and the MIT Technology Review Innovators Under 35 List. He is passionate about translating scientific endeavors from bench to bedside. Large pharmaceutical companies have exclusively licensed a portfolio of his patents to bring into clinical trials, and Abramson serves as a scientific advisor overseeing their commercialization. In addition to his scientific endeavors, Abramson plays an active role in his community by leading diversity and inclusion efforts on campus and volunteering as a STEM tutor to local students.

    Abramson received a B.S. in chemical and biomolecular engineering from Johns Hopkins University and a Ph.D. in chemical engineering from MIT as an NSF Graduate Research Fellow under the direction of Professors Robert Langer and Giovanni Traverso. He conducted postdoctoral work at Stanford University as an NIH fellow with Professors Zhenan Bao and the late Sanjiv S. Gambhir.

    The Abramson Lab develops ingestible, implantable, and wearable robotic therapeutic devices that solve key healthcare problems and provide measurable therapeutic outcomes. Our translationally focused research spans a multitude of areas, including (1) drug delivery devices for optimal drug adherence, (2) soft materials for bioelectronic sensors and therapeutics, and (3) preclinical drug screening technologies.

    aabramson6@gatech.edu

    Office Location:
    MoSE 4120B

    Abramson Lab

  • ChBE Profile Page
  • Google Scholar

    Research Focus Areas:
    • Drug Design, Development and Delivery
    • Flexible Electronics
    • Soft Robotics
    Additional Research:

    Biosensors


    IRI Connections:

    Yue Chen

    Yue Chen

    Yue Chen

    Assistant Professor; Department of Biomedical Engineering at Georgia Tech & Emory

    Yue Chen is an assistant professor in the Department of Biomedical Engineering, GT/Emory. He received his Ph.D. degree in Mechanical Engineering from Vanderbilt University, M.S. in Mechanical Engineering from Hong Kong Polytechnic University, and a B.S. in Vehicle Engineering from Hunan University. His research focused on designing, modeling, and control of continuum robots and apply them in medicine.

    yue.chen@bme.gatech.edu

    404.894.5586

    Office Location:
    UAW4105

    BioMedical Mechatronics (BM2) Lab

  • BME Profile Page
  • Google Scholar

    University, College, and School/Department
    Research Focus Areas:
    • Bioengineering
    • Biotechnology
    • Human Augmentation
    • Human-Centered Robotics
    • Soft Robotics

    IRI Connections:

    Animesh Garg

    Animesh Garg

    Animesh Garg

    Assistant Professor

    Animesh Garg is a Stephen Fleming Early Career Assistant Professor at School of Interactive Computing at Georgia Tech. He leads the People, AI, and Robotics (PAIR) research group. He is on the core faculty in the Robotics and Machine Learning programs. Animesh is also a Senior Researcher at Nvidia Research. Animesh earned a Ph.D. from UC Berkeley and was a postdoc at the Stanford AI Lab. He is on leave from the department of Computer Science at University of Toronto and CIFAR Chair position at the Vector Institute.

    Garg earned his M.S. in Computer Science and Ph.D. in Operations Research from UC, Berkeley. He worked with Ken Goldberg at Berkeley AI Research (BAIR). He also worked closely with Pieter Abbeel, Alper Atamturk & UCSF Radiation Oncology. Animesh was later a postdoc at Stanford AI Lab with Fei-Fei Li and Silvio Savarese.

    Garg's research vision is to build the Algorithmic Foundations for Generalizable Autonomy, that enables robots to acquire skills, at both cognitive & dexterous levels, and to seamlessly interact & collaborate with humans in novel environments. His group focuses on understanding structured inductive biases and causality on a quest for general-purpose embodied intelligence that learns from imprecise information and achieves flexibility & efficiency of human reasoning.

    animesh.garg@gatech.edu

    Personal Profile Page

    Google Scholar

    Research Focus Areas:
    • Foundations of Robotics
    • Human-Centered Robotics
    • Machine Learning
    • Robotics
    Additional Research:

    Robot Learning3D Vision and Video ModelsCausal InferenceReinforcement LearningCurrent Applications: Mobile-Manipulation in Retail/Warehouse, personal, and surgical robotics


    IRI Connections:

    Judy Hoffman

    Judy Hoffman

    Judy Hoffman

    Assistant Professor; College of Computing

    Judy Hoffman is an assistant 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).

    judy@gatech.edu

    CoC Profile Page

  • Personal Webpage
  • Google Scholar

    University, College, and School/Department
    Additional Research:
    Machine LearningComputer VisionArtificial 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:

    Lu Gan

    Lu Gan

    Lu Gan

    Assistant Professor - School of Aerospace Engineering

    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.

    lgan@gatech.edu

    Office Location:
    Guggenheim 448A

    Lunar Lab @ GT

  • AE Profile Page
  • Personal Website
  • Google Scholar

    Research Focus Areas:
    • Aerospace
    • Autonomy
    • Machine Learning
    • Robotics
    Additional Research:

    Computer VisionPerception & NavigationRobot AutonomyFlight Mechanics & ControlsHuman-Robot Interaction


    IRI Connections:

    Benjamin Joffe

    Benjamin Joffe

    Benjamin Joffe

    Research Scientist II

    Benjamin Joffe is a Research Scientist in the Aerospace, Transportation & Advanced Systems Laboratory at the Georgia Tech Research Institute. He holds an M.S. in Computer Science from Georgia Tech. His work is at the intersection of Computer Vision, Machine Learning, and Robotics. His research interests include 3D Perception for highly-variable and deformable objects; robot learning for manipulation tasks; real-world generalization from synthetic and multi-modal data; Machine Learning for chemical sensing and biomanufacturing; Deep Learning algorithms for novel modalities and low-data scenarios. 

    benjamin.joffe@gtri.gatech.edu

    404.407.8848

    Office Location:
    Food Processing Technology Building

    GTRI Aerospace, Transportation & Advanced Systems Laboratory

    Google Scholar

    Research Focus Areas:
    • Machine Learning
    • Robotics
    Additional Research:

    3D PerceptionAgricultural RoboticsComputer VisionMachine Learning for Chemical & Bio SensingRobot LearningRobotic Manipulation


    IRI Connections:
    IRI And Role

    Maegan Tucker

    Maegan Tucker

    Maegan Tucker

    Assistant Professor

    Maegan received her Ph.D. in Mechanical Engineering (ME) from the California Institute of Technology (Caltech) in May 2023. Prior, she also received a M.S. in ME from Caltech in 2019 and a B.S. in ME from Georgia Tech in 2017. After graduating with her Ph.D., Maegan conducted a brief postdoc at Caltech (May–August 2023), followed by a brief research position at Disney Research (September–December 2023). Generally speaking, her research interests lie at the intersection of control theory and human-robot interaction, with specific applications towards lower-limb assistive devices. Much of her research is centered around the question: “What is the right way to walk?”. In her free time, Maegan enjoys puzzles, playing video games, and the piano.

    Maegan Tucker joined Georgia Tech as an assistant professor with joint appointments in the School of Electrical & Computer Engineering and the School of Mechanical Engineering in January 2024.

    mtucker@gatech.edu

    Personal Website

  • ECE Profile Page
  • Google Scholar

    Research Focus Areas:
    • Bioengineering
    • Human Augmentation
    • Human-Centered Robotics
    • Locomotion & Manipulation
    • Robotics
    Additional Research:

    Lower-Body Assistive Devices Bipedal Locomotion Nonlinear Control Theory Human-Robot Interaction Preference-Based Learning Human Biomechanics


    IRI Connections:
    IRI And Role