Vidya Muthukumar

Vidya Muthukumar
vmuthukumar8@gatech.edu
ECE Profile Page

Vidya Muthukumar is an Assistant Professor in the School of Electrical and Computer Engineering and H. Milton Stewart School of Industrial and Systems Engineering at Georgia Institute of Technology. Dr. Muthukumar’s broad interests are in game theory, online and statistical learning. She is particularly interested in designing learning algorithms that provably adapt in strategic environments, fundamental properties of overparameterized models, and the foundations of multi-agent decision-making.

Dr. Muthukumar received the B.Tech (with honors) degree from the Indian Institute of Technology, Madras and the Ph.D. degree in Electrical Engineering from University of California, Berkeley. She interned at IBM Research in the summer of 2018 as a Science for Social Good fellow. Before joining Georgia Tech, she spent a semester at the Simons Institute for the Theory of Computing as a research fellow for the program “Theory of Reinforcement Learning.” She is the recipient of an Amazon Research Award, NSF CAREER Award, Adobe Data Science Research Award, Simons-Berkeley Google Research Fellowship, and the UC Berkeley EECS Outstanding Course Development and Teaching Award.

Dr. Muthukumar has served/is serving as an Area Chair for COLT (2021-2024), NeurIPS (2023 and 2024), ALT 2024 and UAI 2024. She also co-organizes several mentorship workshops as part of the Learning Theory Alliance team, and organized the ITALT symposium in 2024.

Assistant Professor
Additional Research
Statistical signal processingGame theorySequential decision-making
Research Focus Areas
Machine Learning
IRI And Role
Data Engineering and Science > Faculty
Data Engineering and Science
University, College, and School/Department
Georgia Institute of Technology > College of Engineering > School of Electrical and Computer Engineering
Georgia Institute of Technology > College of Engineering > School of Industrial Systems Engineering
Google Scholar
https://scholar.google.com/citations?hl=en&user=VVz2wdwAAAAJ&view_op=list_works&sortby=pubdate
Personal Website

Divya Mahajan

Divya Mahajan
divya.mahajan@gatech.edu
Personal Website

Divya is an Assistant Professor in School of ECE and Computer Science. Divya received her Ph.D. from Georgia Institute of Technology and Master’s from UT Austin. She obtained her Bachelor’s from IIT Ropar where she was conferred the Presidents of India Gold Medal, the highest academic honor in IITs.

Prior to joining Georgia Tech, Divya was a Senior Researcher at Microsoft Azure since September 2019. Her research has been published in top-tier venues such as ISCA, HPCA, MICRO, ASPLOS, NeurIPS, and VLDB. Her dissertation has been recognized with the NCWIT Collegiate Award 2017 and distinguished paper award at High Performance Computer Architecture (HPCA), 2016.

Currently, she leads the Systems Infrastructure and Architecture Research Lab at Georgia Tech. Her research team is devising next-generation sustainable compute platforms targeting end-to-end data pipeline for large scale AI and machine learning. The work draws insights from a broad set of disciplines such as, computer architecture, systems, and databases.

Assistant Professor
Additional Research
Computer ArchitectureSystems for Machine LearningLarge Scale Infrastructure for AI and Data Storage
Research Focus Areas
AI
Machine Learning
System Design & Optimization
IRI And Role
Data Engineering and Science > Faculty
Data Engineering and Science
University, College, and School/Department
Georgia Institute of Technology > College of Computing > School of Computer Science
Georgia Institute of Technology > College of Engineering > School of Electrical and Computer Engineering
Google Scholar
https://scholar.google.com/citations?hl=en&user=HmBa_6gAAAAJ&view_op=list_works&sortby=pubdate
LinkedIn

Matthew Hale

Matthew Hale
mhale30@gatech.edu
Control, Optimization, & Robotics Engineering Lab

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 
Research Focus Areas
Algorithms & Optimizations
Autonomy
Robotics
IRI And Role
Robotics > Core Faculty
Robotics
University, College, and School/Department
Georgia Institute of Technology > College of Engineering > School of Electrical and Computer Engineering
Google Scholar
https://scholar.google.com/citations?hl=en&user=8CvCAcgAAAAJ&view_op=list_works&sortby=pubdate
LinkedIn

Maegan Tucker

Maegan Tucker
mtucker@gatech.edu
Personal Website

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.

Assistant Professor
Additional Research
Lower-Body Assistive Devices Bipedal Locomotion Nonlinear Control Theory Human-Robot Interaction Preference-Based Learning Human Biomechanics
Research Focus Areas
Bioengineering
Human Augmentation
Human-Centered Robotics
Locomotion & Manipulation
Robotics
IRI And Role
Robotics > Core
Robotics
University, College, and School/Department
Georgia Institute of Technology > College of Engineering > School of Electrical and Computer Engineering
Georgia Institute of Technology > College of Engineering > Woodruff School of Mechanical Engineering
Google Scholar
https://scholar.google.com/citations?hl=en&user=mgQTjk0AAAAJ&view_op=list_works&sortby=pubdate
LinkedIn ECE Profile Page

Pan Li

Pan Li
panli@gatech.edu
Personal Website

Pan Li joined Georgia Tech in 2023 Spring. Before that, Pan Li worked at the Purdue Computer Science Department as an assistant professor from the 2020 fall to the 2023 Spring. Before joining Purdue, Pan worked as a postdoc at Stanford Computer Science Department from 2019 to 2020. Pan did his Ph.D. in Electrical and Computer Engineering at the University of Illinois Urbana-Champaign. Pan Li has got the NSF CAREER award, the Best Paper award from the Learning on Graph Conference, Sony Faculty Innovation Award, JPMorgan Faculty Award.

Assistant Professor
Office
CODA Number S1219
Additional Research
Develop and analyze more expressive, generalizable, robust machine learning algorithms with graph and geometric data, using e.g., Graph neural networks, geometric deep learning, and equivariant models.  Build scalable analysis and learning tools for large-scale graph data, such as graph and hypergraph clustering algorithms, and large-scale graph machine learning.    Artificial Intelligence for Science: Interpretable and trustworthy graph machine learning for physics.
Research Focus Areas
AI
Machine Learning
IRI And Role
Data Engineering and Science > Faculty
Data Engineering and Science
University, College, and School/Department
Georgia Institute of Technology > College of Engineering > School of Electrical and Computer Engineering
Google Scholar
https://scholar.google.com/citations?hl=en&user=IroP0EwAAAAJ&view_op=list_works&sortby=pubdate
ECE Profile Page

Amirali Aghazadeh

Amirali Aghazadeh
aaghazadeh3@gatech.edu
Profile Page

Amirali Aghazadeh is an Assistant Professor in the School of Electrical and Computer Engineering and also program faculty of Machine Learning, Bioinformatics, and Bioengineering Ph.D. programs. He has affiliations with the Institute for Data Engineering and Science (IDEAS) and Institute for Bioengineering and Biosciences. Before joining Georgia Tech, Aghazaeh was a postdoc at Stanford and UC Berkeley and completed his Ph.D. at Rice University. His research focuses on developing machine learning and deep learning solutions for protein and small molecular design and engineering.
 

Assistant Professor
Phone
713-257-5758
Office
CODA S1209
Research Focus Areas
Algorithms & Optimizations
Big Data
Bioengineering
Bioinformatics
Biotechnology
Computational Genomics
Computational Materials Science
Diagnostics
Drug Design, Development and Delivery
Machine Learning
Systems Biology
IRI And Role
Bioengineering and Bioscience > Faculty
Data Engineering and Science > Faculty
Data Engineering and Science
Bioengineering and Bioscience
University, College, and School/Department
Georgia Institute of Technology > College of Engineering > School of Electrical and Computer Engineering
Google Scholar
https://scholar.google.com/citations?hl=en&user=87wBxzUAAAAJ&view_op=list_works&sortby=pubdate

David S. Citrin

David S. Citrin
david.citrin@ece.gatech.edu
Website

Professor Citrin earned a B.A. from Williams College (1985) and a M.S. (1987) and a Ph.D. (1991) from the University of Illinois, all in physics, where his dissertation was on the optical properties of semiconductor quantum wires. Subsequently, he was a post-doctoral research fellow at the Max Planck Institute for Solid State Research, Stuttgart, Germany (1992-1993) and Center Fellow at the Center for Ultrafast Optical Science at the University of Michigan (1993-1995). Dr. Citrin was an assistant professor of physics and materials science at Washington State University (1995 to 2001).

Professor Citrin joined the faculty at Georgia Tech in 2001 where his work focuses on terahertz technology and nanotechnology. He is a recipient of a Presidential Early Career Award for Scientists and Engineers and of a Friedrich Bessel Award from the Alexander Von Humboldt Stiftung. In addition, he is Project Coordinator on Nonlinear Optics and Dynamics at Georgia Tech-CNRS UMI 2958 located at Georgia Tech-Lorraine. Professor Citrin’s research in terahertz imaging is featured in the Georgia Tech press release, ”Imaging Technique Unlocks the Secrets of 17th Century Artists"; a list of some media placements from the press release may be found at http://photonics.georgiatech-metz.fr/node/33.

Research interests: 

  • Terahertz nondestructive testing of materials
  • Terahertz characterization of art and cultural heritage
  • Chaos and nonlinear dynamics in external-cavity semiconductor lasers
  • Nanophotonics
  • High-speed electronic, photonic, and optoelectronic devices
  • Nonlinear optical properties of semiconductor materials and devices
Professor
Phone
404.894.2000
Office
MIRC 211
Research Focus Areas
Artificial Intelligence (AI)
Computational Materials Science
Computer Engineering
Electronic Materials
Electronics
Hydrogen Production
Materials and Nanotechnology
Optics & Photonics
Semiconductors
IRI And Role
Manufacturing > Affiliated Faculty
Energy > Hydrogen Group
Manufacturing
IEN
Energy
University, College, and School/Department
Georgia Institute of Technology > College of Engineering > School of Electrical and Computer Engineering

Thomas Conte

Thomas Conte
conte@gatech.edu
Website

Tom Conte holds a joint appointment in the Schools of Electrical & Computer Engineering and Computer Science at the Georgia Institute of Technology. He is the founding director of the Center for Research into Novel Computing Hierarchies (CRNCH). His research is in the areas of computer architecture and compiler optimization, with emphasis on manycore architectures, microprocessor architectures, back-end compiler code generation, architectural performance evaluation and embedded computer system architectures.

Professor
Phone
(404) 385-7657
Office
Klaus 2334
Additional Research
Computer Architecture; Compiler Optimization
Research Focus Areas
Algorithms & Optimizations
High Performance Computing
IRI And Role
Data Engineering and Science > Affiliated Faculty
Energy > Research Community
Data Engineering and Science
Energy
University, College, and School/Department
Georgia Institute of Technology > College of Computing > School of Computer Science
Georgia Institute of Technology > College of Engineering > School of Electrical and Computer Engineering
CRNCH Lab Page

Michael (Mick) West

Michael (Mick) West
mick.west@ece.gatech.edu

Michael (Mick) West joined ECE from the Georgia Tech Research Institute (GTRI) in 2022. He received his Ph.D. in electrical engineering from the University of Hawaii (UH) in 2006 and has over 28 years of professional experience with over 40 refereed journals and conference papers. 

West specializes in the development unmanned systems in extreme environments (under-ice, planetary, deep ocean, polar). He has been an invited speaker for United States Congressional leaders and their staff and top military personnel in the development of roadmaps for advancing current robotics research. He has served as PI on several Unmanned Systems programs developing novel enabling technologies including advanced control and power systems on underwater, ground, air and space platforms. West developed the first-of-its-kind under-ice vehicle, Icefin, in order to gather information about the changing polar ice and provide insight into areas of climate science, as well as biology and planetary science. The vehicle has been deployed over five seasons through the Ross Ice Shelf in Antarctica and provided never before seen images and scientific data of the Antarctic seafloor.

Senior Research Scientist; Georgia Tech Research Institute
Phone
404-407-8638
Office
Klaus 2316
Additional Research
Collaborative Robotics
Research Focus Areas
Collaborative Robotics
IRI And Role
Robotics > Core Faculty
Robotics
University, College, and School/Department
Georgia Institute of Technology > College of Engineering > School of Electrical and Computer Engineering
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