Suresh Marru

Suresh Marru's profile picture
smarru@gatech.edu

Suresh Marru is a research professor dedicated to advancing science and engineering through AI and cyberinfrastructure. Over the past two decades, he has focused on accelerating and democratizing computational science. His work includes the development of science gateways and the pioneering of the Apache Airavata distributed systems framework.

In his current role as the Director of Georgia Tech's ARTISAN Center, his team is at the forefront of pioneering efforts to integrate AI into diverse scientific domains. His group is dedicated to bridging the gap between theory, experimentation, and computation by fostering open-source integration frameworks. These frameworks automate research processes, optimize complex models, and integrate disparate scientific data with simulation engines.

Collaboration is at the heart of Suresh’s ethos. He has had the privilege of working alongside brilliant scientists and technologists, contributing to groundbreaking research in domains such as geosciences, neuroscience, and molecular dynamics. These collaborations have not only accelerated scientific discovery but have also offered valuable insights into the potential of AI in scientific innovation.

Beyond his professional endeavors, Suresh is deeply passionate about open science and open-source software. He also believes in building synergies between academia and industry. He has played an instrumental role in a series of tech startups. Currently, he serves as the Chief Technology Officer at Folia, a company dedicated to unleashing the power of annotations.

Director, Georgia Tech Center for Artificial Intelligence in Science and Engineering (ARTISAN)
Research Professor, Institute for Data Engineering and Science (IDEaS)
Phone
405.816.1686
Office
CODA 12th Floor | #1217
Additional Research

Atmospheric SciencesComputer ModelingCyberinfrastructureData Fusion and IntegrationOpen Science Integration FrameworksScience Gateway Frameworks

Google Scholar
https://scholar.google.com/citations?hl=en&user=FVWrKb0AAAAJ&view_op=list_works&sortby=pubdate

Alexander Lerch

Alexander Lerch's profile picture
alexander.lerch@gatech.edu

Alexander Lerch is Associate Dean for Research and Creative Practice and Professor at the College of Design, Georgia Institute of Technology.

Lerch's research on machine understanding of audio and music positions him at the intersection of signal processing, machine learning, and music. He aims at creating artificially intelligent software for music generation, production, and consumption.

Lerch studied Electrical Engineering at the Berlin Institute of Technology and Tonmeister (music production) at the University of Arts, Berlin; he received his PhD (Audio Communications) from the Berlin Institute of Technology in the year 2008. He co-founded the company zplane.development, an industry leader providing advanced music technology to the music industry. zplane technologies are nowadays used by millions of musicians and producers world-wide in a wide variety of products.

Lerch has published more than 60 peer-reviewed publications on a wide range of topics in audio and music analysis and processing. His textbook "An Introduction to Audio Content Analysis" was published by Wiley/IEEE Press in 2012 (2nd edition in 2023).

Associate Dean of Research and Creative Practice Professor
Associate Professor
Phone
(404) 385-7256
Additional Research
  • Artificial Intelligence for Music
  • Music Information Retrieval 
  • Audio Content Analysis
Research Focus Areas
University, College, and School/Department
Google Scholar
https://scholar.google.com/citations?user=29dF3UIAAAAJ

Irfan Essa

Irfan Essa's profile picture
irfan@cc.gatech.edu

Irfan Essa is a Professor in the School of Interactive Computing and Senior Associate Dean in the College of Computing (CoC), at the Georgia Institute of Technology. Professor Essa works in the areas of Computer Vision, Artificial Intelligence, Machine Learning, Robotics, Computer Graphics, and Social Computing, with potential impact on Content Creation, Analysis and Production (e.g., Computational Photography & Video, Image-based Modeling and Rendering, etc.) Human Computer Interaction, Artificial Intelligence, Computational Behavioral/Social Sciences, and Computational Journalism research.He has published over 150 scholarly articles in leading journals and conference venues on these topics and several of his papers have also won best paper awards. He has been awarded the National Science Foundation CAREER Award and was elected an IEEE Fellow. He has held extended research consulting positions with Disney Research and Google Research and also was an Adjunct Faculty Member at Carnegie Mellon's Robotics Institute. He joined Georgia Tech in 1996 after his earning his Master's (1990), Ph.D. (1994), and holding a research faculty position at the Massachusetts Institute of Technology Media Lab (1988-1996).

Senior Associate Dean; College of Computing
Professor; School of Interactive Computing
Phone
404.894.6856
Additional Research

Healthcare Security; Machine Learning; Mobile & Wireless Communications; Computer Vision and Robotics; Computer Graphics and Animation; Computational Photography and Video; Intelligent and Aware Environments; Digital Special Effects; Computational Journalism; Social Computing

Research Focus Areas

Aaron Drysdale

Aaron Drysdale

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.

Kai Wang

Kai Wang

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.

Raphaël Pestourie

Raphaël Pestourie

Raphaël Pestourie earned his Ph.D. in Applied Mathematics and an AM in Statistics from Harvard University in 2020. Prior to Georgia Tech, he was a postdoctoral associate at MIT Mathematics, where he worked closely with the MIT-IBM Watson AI Lab. Raphaël’s research focuses on scientific machine learning at the intersection of applied mathematics and machine learning and inverse design via scientific machine learning and large-scale electromagnetic design. 

Divya Mahajan

Divya Mahajan

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.

Giri Krishnan


Dr Krishnan is research professor in the Georgia Tech’s Interdisciplinary Research Institute, Institute for Data Engineering and Science, School of Computational Science and Engineering, College of Computing. He is an associate director of the Center for AI in Science and Engineering. His current interest is in developing AI methods for computational science problems across many domains. He is a computational neuroscientist by training, with past work spanning across a wide range of computational modeling and AI methods.

Pan Li

Assistant Professor ECE, Pan Li

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.