Steven W. McLaughlin

Vidya Muthukumar

Assistant Professor

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.

vmuthukumar8@gatech.edu

ECE Profile Page

Personal Website

Georgia Institute of Technology > College of Engineering > School of Electrical and Computer Engineering

University, College, and School/Department

Georgia Institute of Technology > College of Engineering > School of Industrial Systems Engineering

Research Focus Areas:

Machine Learning

Additional Research:
Statistical signal processingGame theorySequential decision-making

IRI Connections:

IRI And Role

Divya Mahajan

Assistant Professor

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.

divya.mahajan@gatech.edu

Personal Website

Georgia Institute of Technology > College of Computing > School of Computer Science

University, College, and School/Department

Georgia Institute of Technology > College of Engineering > School of Electrical and Computer Engineering

Research Focus Areas:

AI
Machine Learning
System Design & Optimization

Additional Research:
Computer ArchitectureSystems for Machine LearningLarge Scale Infrastructure for AI and Data Storage

IRI Connections:

IRI And Role

Pan Li

Assistant Professor

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.

panli@gatech.edu

Office Location:
CODA Number S1219

Personal Website

ECE Profile Page

Georgia Institute of Technology > College of Engineering > School of Electrical and Computer Engineering

University, College, and School/Department

Research Focus Areas:

AI
Machine Learning

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.

IRI Connections:

IRI And Role

Tushar Krishna

ON Semiconductor Junior Professor, School of Electrical and Computer Engineering

Tushar Krishna is an Associate Professor in the School of Electrical and Computer Engineering at Georgia Tech. He also holds the ON Semiconductor Junior Professorship. He has a Ph.D. in Electrical Engineering and Computer Science from MIT (2014), a M.S.E in Electrical Engineering from Princeton University (2009), and a B.Tech in Electrical Engineering from the Indian Institute of Technology (IIT) Delhi (2007). Before joining Georgia Tech in 2015, Krishna spent a year as a researcher at the VSSAD group at Intel, Massachusetts.

Krishna’s research spans computer architecture, interconnection networks, networks-on-chip (NoC) and deep learning accelerators – with a focus on optimizing data movement in modern computing systems. Three of his papers have been selected for IEEE Micro’s Top Picks from Computer Architecture, one more received an honorable mention, and three have won best paper awards. He received the National Science Foundation (NSF) CRII award in 2018, a Google Faculty Award in 2019, and a Facebook Faculty Award in 2019 and 2020.

tushar@ece.gatech.edu

404.894.9483

Office Location:
Klaus 2318

ECE Profile Page

Personal Research Site

Georgia Institute of Technology > College of Engineering > School of Electrical and Computer Engineering

University, College, and School/Department

Research Focus Areas:

Computer Engineering
Gigatechnology
High Performance Computing
Machine Learning
Micro and Nano Device Engineering
Miniaturization & Integration
System Design & Optimization

Additional Research:
Networks-on-Chip (NoC)Interconnection NetworksReconfigurable Computing and FPGAsHeterogeneous ArchitecturesDeep Learning Accelerators

IRI Connections:

IRI And Role

Matter and Systems > Affiliated Faculty

Georgia Institute of Technology > College of Engineering > School of Electrical and Computer Engineering

IEN

Raheem Beyah

Dean, College of Engineering

Motorola Foundation Professor

Raheem Beyah, Ph.D., is associate chair for Strategic Initiatives and Innovation, and the Motorola Foundation Professor in the School of Electrical & Computer Engineering at the Georgia Institute of Technology. His research is at the intersection of the networking and security fields. He leads the Georgia Tech Communications Assurance and Performance Group (CAP), which develops algorithms that enable a more secure network infrastructure with computer systems that are more accountable and less vulnerable to attacks. Through experimentation, simulation, and theoretical analysis, CAP provides solutions to current network security problems and to long-range challenges as current networks and threats evolve. Dr. Beyah has served as guest editor and associate editor of several journals in the areas of network security, wireless networks, and network traffic characterization and performance. He received the National Science Foundation CAREER award in 2009 and was selected for DARPA's Computer Science Study Panel in 2010. He is a member of NSBE, ASEE, and is a senior member of IEEE and ACM. Beyah is a native of Atlanta, Georgia. He received his Bachelor of Science in Electrical Engineering from North Carolina A&T State University in 1998. He received his Master's and Ph.D. in Electrical and Computer Engineering from Georgia Tech in 1999 and 2003, respectively. Prior to returning to Georgia Tech, Dr. Beyah was a faculty member in the Department of Computer Science at Georgia State University, a research faculty member with the Georgia Tech Communications Systems Center (CSC), and a consultant in Andersen Consulting's (now Accenture) Network Solutions Group.

rbeyah@ece.gatech.edu

404.894.2531

Office Location:
KACB 2308

Website

University, College, and School/Department

Research Focus Areas:

Cyber Technology
Network and Security Vulnerability Analysis
Cyber-Physical Systems

Additional Research:
Mobile & Wireless Communications; Network Science

IRI Connections:

IRI And Role

Data Engineering and Science > Affiliated Faculty

Energy > Research Community

Georgia Institute of Technology > College of Engineering > School of Electrical and Computer Engineering

Energy

Maryam Saeedifard

Professor

Maryam Saeedifard received the B.S. and M.S. degrees from Isfahan University of Technology, Isfahan, Iran, in 1998 and 2002, respectively, and the Ph.D. degree from the University of Toronto, Canada, in 2008, all in electrical engineering.

From 2007 to 2008, she was with ABB Corporate Research Center, Dattwil-Baden, Switzerland, working in the power electronic systems group. She joined Purdue University in January 2010, where she served as an assistant professor in the School of Electrical and Computer Engineering. Since January 2014, she has been on the ECE faculty at the Georgia Institute of Technology.

Her main research focus has been in the area of Power Electronics and Applications of Power Electronics in Power Systems and Transportation Systems. She has served on the technical program committees of the IEEE Power Electronics Society, IEEE Applied Power Electronics Conference and Exposition (APEC), and IEEE Industrial Electronics Conference (IECON). She is an editor for IEEE Trans. on Sustainable Energy, IEEE Trans. on Power Delivery, and IEEE Trans. on Power Electronics.

maryam@ece.gatech.edu

(404) 894-4834

Office Location:
VL E168

Website

University, College, and School/Department

Research Focus Areas:

Delivery & Storage
Use & Conservation

Additional Research:
Electric Vehicles; Electrical Grid; Electronics

IRI Connections:

IRI And Role

Energy > Faculty Council

Energy > Research Community

Energy

Joyelle "Joy" Harris, Ph.D.

Joyelle Harris

Director, Women in Engineering

Dr. Joy Harris has a diverse career within the Georgia Institute of Technology (GA Tech). Through her primary appointment as a faculty member in the School of Electrical and Computer Engineering (ECE), she serves as a teacher, mentor, and research advisor to undergraduate students. Within ECE, Dr. Harris focuses on lowering barriers and increasing access to all opportunities within the department. She also serves as faculty director for the Engineering for Social Innovation (ESI) Center, where she creates the space for students to use their technical skills for positive social impact.

As ESI director, she leads undergraduate service breaks to developing countries; she operates a graduate leadership and development program; and she helps her students increase the operating capacity of non-profit organizations. Dr. Harris formerly served as faculty director of the Global Leadership Living and Learning Community (LLC), where she taught a course in the United Nations Sustainable Development Goals, and she helped her first-year LLC students to successfully integrate into the GA Tech community. Dr. Harris also served as one of the Associate Directors for the CREATE-X entrepreneurship initiative. In this capacity, she helped students increase their entrepreneurial confidence through designing their own career paths and by launching startups. Through all her roles on campus, Dr. Harris enjoys teaching and serving thousands of students throughout the academic year.

Joy’s educational background includes a bachelor's in mathematics from Spelman College and a bachelor's in electrical engineering from Georgia Tech. She earned her master’s and Ph.D. in electrical engineering at Princeton University and an MBA at Georgia Tech in 2017.

joyelle.harris@ece.gatech.edu

404.894.8365

Departmental Bio

University, College, and School/Department

Georgia Institute of Technology > College of Engineering > School of Electrical and Computer Engineering

Research Focus Areas:

Social & Environmental Impacts

IRI Connections:

IRI And Role

Energy > Faculty Council

Energy > Research Community

Energy

Anthony Yezzi

Julian T. Hightower Chair; School of Electrical and Computer Engineering

Professor; School of Electrical and Computer Engineering

Professor Yezzi was born in Gainsville, Florida and grew up in Minneapolis, Minnesota. He obtained both his Bachelor's degree and his Ph.D. in the Department of Electrical Engineering at the University of Minnesota with minors in mathematics and music. After completing his Ph.D., he continued his research as a post-Doctoral Research Associate at the Laboratory for Information and Decision Systems at Massachusetts Institute of Technology in Boston, MA. His research interests fall broadly within the fields of image processing and computer vision. In particular he is interested in curve and surface evolution theory and partial differential equation techniques as they apply to topics within these fields (such as segmentation, image smoothing and enhancement, optical flow, stereo disparity, shape from shading, object recognition, and visual tracking). Much of Dr. Yezzi's work is particularly tailored to problems in medical imaging, including cardiac ultrasound, MRI, and CT. He joined the Georgia Tech faculty in the fall of 1999 where he has taught courses in DSP and is working to develop advanced courses in computer vision and medical image processing. Professor Yezzi consults with industry in the areas of visual inspection and medical imaging. His hobbies include classical guitar, opera, and martial arts.

anthony.yezzi@ece.gatech.edu

404.385.1017

Office Location:
TSRB 427

Lab of Computational Computer Vision

Georgia Institute of Technology > College of Engineering > School of Electrical and Computer Engineering

University, College, and School/Department

Research Focus Areas:

Autonomy

Additional Research:
Computer Vision; Image Processing; Shape Optimization; Geometric PDE's

IRI Connections:

IRI And Role

Robotics > Core Faculty

Robotics

Erik Verriest

Professor; School of Electrical and Computer Engineering

Erik I. Verriest received the degree of 'Burgerlijk Electrotechnisch Ingenieur' from the State University of Ghent, Ghent, Belgium in 1973, and the M.Sc. and Ph.D. degrees from Stanford University in 1975 and 1980, respectively. He was employed by the Control Systems Laboratory and the Hybrid Computation Centre, Ghent, Belgium, where he worked on process simulation and control in 1973-74. His doctoral research at Stanford was on the algebraic theory and balancing for time varying linear systems and array algorithms. He joined the faculty of Electrical and Computer Engineering at Georgia Tech in 1980. He spent the 1991-92, 1993-94 and 1994-95 academic years at Georgia Tech Lorraine. He has contributed to the application of the theory of systems over finite fields in cryptography, data compression, sensitivity analysis of array algorithms with applications in estimation and control, algorithms for optical computing. More recently he contributed to the theory of periodic and hybrid systems, delay - differential systems, model reduction for nonlinear systems, and control with communication constraints. He served on several IPC's and is a member of the IFAC Committee on Linear Systems.

erik.verriest@ece.gatech.edu

404.894.2949

Office Location:
VL 492