John Eric Coulter

John Eric Coulter's profile picture
j.eric@gatech.edu
PACE Website

Eric joined PACE in 2021, and currently leads the Research Computing Facilitation team, after having worked as a Cyberinfrastructure Architect and RCF. Before joining PACE, Eric could be found at Indiana University as a systems engineer with the XSEDE Campus Bridging team, providing HPC-oriented consultations to institutions across the US. He also worked closely with the Cyberinfrastructure Research Center at IU, providing support for several different science gateway projects. Prior to that, his research in condensed matter physics at Florida State University involved computational studies of the optical properties of strongly correlated materials.

Research Scientist | Partnership for an Advanced Computing Environment
Research Focus Areas
High Performance Computing
IRI And Role
Data Engineering and Science
Data Engineering and Science > Faculty
University, College, and School/Department
Georgia Institute of Technology

Aaron Jezghani

Aaron Jezghani's profile picture
ajezghani3@gatech.edu
PACE Website

Aaron joined the PACE team in May 2019 as a computing facilitator, and currently serves as the Scheduler Architect. Through supporting users, he grew to appreciate the opportunity to improve HPC workflows through scheduler and systems configurations that lower the barrier to entry and passively optimize code execution. Additionally, Aaron has been involved in the Vertically Integrated Projects (VIP) program since Spring 2020, mentoring multiple teams of students with the Team Phoenix VIP through international HPC competitions at the ISC-HPC and Supercomputing conferences and more recently, providing leadership for the Future Computing with the Rogues Gallery VIP as they research applications of novel compute architectures. Prior to joining PACE, Aaron studied free neutron and nuclear beta decay as a precision test of the Standard Model, which entailed a diverse range of activities, including particle simulation and detection, digital and analog signal processing, and algorithm optimization across x86, GPU, and FPGA architectures.

Research Scientist | Partnership for an Advanced Computing Environment
IRI And Role
Data Engineering and Science > Faculty
Data Engineering and Science
University, College, and School/Department
Georgia Institute of Technology
Google Scholar
https://scholar.google.com/citations?hl=en&user=dCfNS98AAAAJ&view_op=list_works&sortby=pubdate

Dimitrios Psaltis

Dimitrios Psaltis's profile picture
dpsaltis3@gatech.edu
Personal Website

I am a professor of Physics at Georgia Tech. I use advanced computational techniques, hybrid computer architectures, and innovative algorithms to answer fundamental questions related to the observational appearance of black holes, the properties of magnetohydrodynamic turbulence, and the interaction of matter with radiation in extreme conditions.

I am a founding member of the Event Horizon Telescope, the international mm-VLBI experiment that has taken the first picture of a black hole with the horizon-scale resolution, and served for three years (2016-2019) as the Project Scientist of the collaboration.

Before moving to Georgia Tech in 2022, I was a professor of Physics and Astronomy at the University of Arizona and the Chair of the Theoretical Astrophysics Program there.

Professor
Additional Research
  • Black Hole Images 
  • General Relativity
Research Focus Areas
High Performance Computing
Machine Learning
IRI And Role
Data Engineering and Science
Data Engineering and Science > Faculty
University, College, and School/Department
Georgia Institute of Technology > College of Sciences > School of Physics

Vidya Muthukumar

Vidya Muthukumar's profile picture
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 processing
  • Game theory
  • Sequential 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
Related Websites
Personal Website

Roshan Joseph

Roshan Joseph's profile picture
roshan@gatech.edu
ISyE Profile Page

Roshan Vengazhiyil Joseph is a A. Russell Chandler III Chair and Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech.

Dr. Joseph's research interests are in the broad areas of applied and computational statistics. A major focus of his research is in developing novel data analytic methods for solving complex engineering problems. He has several years of consulting experience in solving quality-related problems in industries.

Dr. Joseph's honors include Distinguished Dissertation Award from the University of Michigan in 2003, CAREER Award from National Science Foundation in 2005, Jack Youden Prize from ASQ in 2005, Coca-Cola Junior Chair Professorship from ISYE in 2008, Best Paper Award from IIE Transactions in 2009, Franz Edelman Laureate from INFORMS in 2017, Statistics in Physical & Engineering Sciences Award from ASA in 2019, SPAIG Award from the ASA in 2020, and Lloyd S. Nelson Award from ASQ in 2021. He is a Fellow of ASA (elected in 2012) and ASQ (elected in 2020). Currently he is serving as the Editor of Technometrics (2020-2022).

Dr. Joseph received a Ph.D. degree in Statistics from the University of Michigan, Ann Arbor in 2002 and holds an M.Tech. degree in Quality, Reliability, and Operations Research and a B.Tech. degree in Production Engineering and Management. 

A. Russell Chandler III Chair
Professor
Phone
404.894.0056
Office
Groseclose 342
Additional Research
  • Statistics
  • Experimental Design
  • Bayesian Computation
  • Uncertainty Quantification
  • Quality Engineering
Research Focus Areas
Big Data
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 Industrial Systems Engineering
Google Scholar
https://scholar.google.com/citations?hl=en&user=-XDlRfAAAAAJ&view_op=list_works&sortby=pubdate
Related Websites
Personal Website

Aaron Drysdale

Aaron Drysdale's profile picture
adrysdale3@gatech.edu

Aaron Drysdale, a Master of Computer Science graduate from Georgia Tech, is the Chief Technologist at the Cloud Hub. He manages the proposal process for research grants, organizes industry training sessions, and provides direct technical support to research teams utilizing cloud resources. Aaron's role also involves collaborating with Microsoft’s technical teams to resolve complex issues, ensuring seamless and efficient research progress. His expertise and proactive approach are vital to the success of the Cloud Hub's mission to advance innovative research.

Chief Technologist - CloudHub @ GT
Research Focus Areas
AI
Artificial Intelligence (AI)
High Performance Computing
IRI And Role
Data Engineering and Science
Data Engineering and Science > Faculty
University, College, and School/Department
Georgia Institute of Technology
LinkedIn
LinkedIn

Yiyi He

Yiyi He's profile picture
yiyi.he@design.gatech.edu
College of Design Profile Page

Yiyi He is an assistant professor in the School of City and Regional Planning (SCaRP) at the College of Design at Georgia Tech. Her research centers on the interdisciplinary fields of urban planning, GIScience, climate science, and artificial intelligence. She is interested in building a better understanding of the uncertainty and asymmetric impacts of climate-change-induced extreme weather events (e.g., flooding, wildfires, extreme heat) on critical components of the built environment (e.g., lifeline infrastructure networks, vulnerable neighborhoods). She leverages data-driven approaches, such as GIS, network science, hyperspectral remote sensing, machine learning, and spatial statistics to tackle complex challenges in climate change and resilience research and to inform more intelligent planning and policy directives.

Her previous work involves using 3D hydrodynamic flood models to simulate flooding under different climate change scenarios and analyze the impact of both coastal and inland flooding on critical infrastructure networks. She received her bachelor’s degree from Nanjing University and her master’s and Ph.D. degree from UC Berkeley.

Assistant Professor, School of City and Regional Planning
Additional Research
  • GI Science Network Science
  • Environmental Planning
Research Focus Areas
City and Regional Planning
Machine Learning
IRI And Role
Data Engineering and Science > Faculty
Data Engineering and Science
Energy > Research Community
Sustainable Systems > Fellow
University, College, and School/Department
Georgia Institute of Technology > College of Design > School of City and Regional Planning
Google Scholar
https://scholar.google.com/citations?hl=en&user=xoUOI-wAAAAJ&view_op=list_works&sortby=pubdate
LinkedIn
LinkedIn

Helen Xu

Helen Xu's profile picture
hxu615@gatech.edu
CoC Profile Page

Helen Xu comes to Georgia Tech from Lawrence Berkeley National Laboratory where she was the 2022 Grace Hopper Postdoctoral Scholar. She completed her Ph.D. at MIT in 2022 with Professor Charles E. Leiserson. Her main research interests are in parallel and cache-friendly algorithms and data structures. Her work has previously been supported by a National Physical Sciences Consortium fellowship and a Chateaubriand fellowship. She has interned at Microsoft Research, NVIDIA Research, and Sandia National Laboratories. 

Assistant Professor
Additional Research
  • Parallel Computing
  • Cache-Efficient Algorithms
  • Performance Engineering
Research Focus Areas
Algorithms & Optimizations
Computer Engineering
High Performance Computing
IRI And Role
Data Engineering and Science
Data Engineering and Science > Faculty
University, College, and School/Department
Georgia Institute of Technology > College of Computing > School of Computational Science and Engineering
Google Scholar
https://scholar.google.com/citations?hl=en&user=ZcguQt4AAAAJ&view_op=list_works&sortby=pubdate
LinkedIn
LinkedIn
Related Websites
Personal Website

Kai Wang

Kai Wang's profile picture
kwang692@gatech.edu
CoC Profile Page

Kai Wang recently attained his Ph.D. in Computer Science at Harvard University where he was advised by Professor Milind Tambe. His research interests include multi-agent systems, computational game theory, machine learning and optimization, and their applications in public health and conservation. One of Wang's key technical contributions includes decision-focused learning, which integrates machine learning and optimization to strengthen learning performance; with his algorithms currently deployed assisting a non-profit in India focused on improving maternal and child health. He is the recipient of the Siebel Scholars award and the best paper runner-up award at AAAI 2021. 

Assistant Professor
Additional Research
  • AI for Social Impact
  • Data-Driven Decision Making
  • Multi-Agent Systems
  • Optimization
Research Focus Areas
AI
IRI And Role
Data Engineering and Science
Data Engineering and Science > Faculty
University, College, and School/Department
Georgia Institute of Technology > College of Computing > School of Computer Science
Google Scholar
https://scholar.google.com/citations?hl=en&user=spWVns8AAAAJ
LinkedIn
LinkedIn
Related Websites
Personal Website
Subscribe to Data Engineering and Science