Sudhakar Pamidighantam

Sudhakar Pamidighantam

Sudhakar Pamidighantam

Associate Director – ARTISAN
Principal Research Scientist

Dr. Pamidighantam is associate director of the ARTISAN center under the Institute for Data Engineering and Science at the Georgia Institute of Technology. Dr. Pamidighantam had been a senior research scientist at Indiana University, Cyberinfrastructure Integration Research Center and NCSA at the University of Illinois at Urbana-Champaign supporting computational chemistry and science gateways development in support of molecular sciences faculty.

spamidig@gatech.edu

Google Scholar

University, College, and School/Department
Additional Research:

computational chemistry


IRI Connections:

Polo Chau

Polo Chau

Polo Chau

Director of Industry Relations, Institute for Data Engineering and Science
Professor
Associate Director, MS in Analytics

Duen Horng Chau is a Professor in the School of Computational Science and Engineering in the College of Computing at Georgia Tech. He co-directs Georgia Tech's MS Analytics program. He is the Director of Industry Relations of The Institute for Data Engineering and Science (IDEaS), and the Associate Director of Corporate Relations of The Center for Machine Learning. His research group bridges machine learning and visualization to synthesize scalable interactive tools for making sense of massive datasets, interpreting complex AI models, and solving real world problems in cybersecurity, human-centered AI, graph visualization and mining, and social good. His Ph.D. in Machine Learning from Carnegie Mellon University won CMU's Computer Science Dissertation Award, Honorable Mention.

He received 17 best paper type awards and published 200+ refereed articles across machine learning and visualization venues. He received prestigious faculty awards (Google, Meta, Intel), GT-wide Senior Faculty Outstanding Undergraduate Research Mentor Award, and Outstanding Mid-Career Faculty Award. His work has been deployed by Google, Microsoft, Meta, Nvidia, ADP, NortonLifeLock, and Atlanta Fire Rescue Department. His students won PhD fellowships (Google, Apple, IBM, JPMorgan, NASA, NSF). He teaches 1,000+ students each semester.

polo@gatech.edu

404.385.7682

Office Location:
KACB 1324

Website

University, College, and School/Department
Research Focus Areas:
  • Delivery & Storage
  • Policy & Economics
  • Shaping the Human-Technology Frontier
Additional Research:

Data Mining & Analytics; Machine Learning; Threat Intelligence; Cyber/ Information Technology; Computer Interaction; Cybersecurity; Visualization;


IRI Connections:

Vijay Ganesh

Vijay Ganesh, Professor of Computer Science

Vijay Ganesh

Associate Director; IDEaS
Professor

Dr. Vijay Ganesh is a professor of computer science at the Georgia Institute of Technology. Prior to joining Georgia Tech in 2023, Vijay was a professor at the University of Waterloo in Canada from 2012 to 2023 and a research scientist at the Massachusetts Institute of Technology from 2007 to 2012. Vijay completed his PhD in computer science from Stanford University in 2007. Vijay's primary area of research is the theory and practice of SAT/SMT solvers, and their application in AI, software engineering, security, mathematics, and physics. In this context he has led the development of many SAT/SMT solvers, most notably, STP, Z3str4, AlphaZ3, MapleSAT, and MathCheck. He has also proved several decidability and complexity results in the context of first-order theories. More recently he has started working on topics at the intersection of learning and reasoning, especially the use of machine learning for efficient solvers, and the use of solvers aimed at making AI more trustworthy, secure, and robust. For his research, Vijay has won over 30 awards, honors, and medals to-date, including an ACM Impact Paper Award at ISSTA 2019, ACM Test of Time Award at CCS 2016, and a Ten-Year Most Influential Paper citation at DATE 2008.

vganesh@gatech.edu

Office Location:
Klaus Advanced Computing Building, Room 2320

CoC Profile Page

  • Personal Website
  • Google Scholar

    Additional Research:
    • AI for Scientific and Mathematical Discovery
    • Automated Reasoning - SAT/SMT Solvers and Provers
    • NeuroSymbolic AI via Reasoning and Learning
    • Secure and Trustworthy AI and Machine Learning

    IRI Connections:

    Jeff Skolnick

    Jeff Skolnick

    Jeff Skolnick

    Regents’ Professor, School of Biological Sciences
    Director, Center for the Study of Systems Biology
    Mary and Maisie Gibson Chair & GRA Eminent Scholar in Computational Systems Biology

    skolnick@gatech.edu

    Website

    University, College, and School/Department
    Research Focus Areas:
    • Bioinformatics
    Additional Research:
    Systems Biology, Computational Biology, and BioinformaticsCancer MetabolomicsPrediction of protein tertiary and quaternary structure and folding pathwaysPrediction of membrane protein tertiary structurePrediction of DNA-binding proteinsProtein EvolutionPrediction of small molecule ligands for drug discoveryPrediction of druggable protein targetsDrug DesignAutomatic assignment of enzymes to metabolic pathwaysSimulation of Virtual Cells

    IRI Connections:

    Charles David Sherrill

    Charles David Sherrill

    Charles David Sherrill

    Executive Director (Interim), Institute for Data Engineering and Science
    Regents Professor, School Chemistry and Biochemistry

    Research in the Sherrill group focuses on the development of ab initio electronic structure theory and its application to problems of broad chemical interest, including the influence of non-covalent interactions in drug binding, biomolecular structure, organic crystals, and organocatalytic transition states. We seek to apply the most accurate quantum models possible for a given problem, and we specialize in generating high-quality datasets for testing new methods or machine-learning purposes. We have developed highly efficient algorithms and software to perform symmetry-adapted perturbation theory (SAPT) computations of intermolecular interactions, and we have used this software to analyze the nature of non-covalent pi-interactions in terms of electrostatics, London dispersion forces, induction/polarization, and short range exchange-repulsion. 

    sherrill@gatech.edu

    404.894.4037

    Office Location:
    MOSE 2100M

    Chem & Bio Chem Profile Page

  • Sherrill Group
  • Google Scholar

    University, College, and School/Department
    Research Focus Areas:
    • Computational Materials Science
    Additional Research:

    Data Analytics; Parallel Quantum Chemistry; Drug Delivery


    IRI Connections:

    Umakishore Ramachandran

    Umakishore Ramachandran

    Umakishore Ramachandran

    Thrust Lead for Cloud Computing, IDEaS
    Professor

    Kishore Ramachandran received his Ph.D. in Computer Science from the University of Wisconsin, Madison in 1986, and has been on the faculty of Georgia Tech since then. He led the definition of the curriculum and the implementation for an online MS program in Computer Science (OMSCS) using MOOC technology for the College of Computing, which is currently providing an opportunity for students world-wide (with an enrollment of over 10,000) to pursue a low-cost graduate education in computer science. He has served as the Director of STAR Center from 2007 to 2014, and as the Director of Korean Programs for the College of Computing from 2007 to 2011. Ramachandran has also served as the Chair of the Core Computing Division within the College of Computing. His research interests are in architectural design, programming, and analysis of parallel and distributed systems. Currently, he is leading a project that deals with large-scale situation awareness using distributed camera networks and multi-modal sensing with applications to surveillance, connected vehicles, and transportation. He is the recipient of an NSF PYI Award in 1990, the Georgia Tech doctoral thesis advisor award in 1993, the College of Computing Outstanding Senior Research Faculty award in 1996, the College of Computing Dean's Award in 2003 and 2014, the College of Computing William "Gus'' Baird Teaching Award in 2004, the "Peter A. Freeman Faculty Award" from the College of Computing in 2009 and in 2013, the Outstanding Faculty Mentor Award from the College of Computing in 2014, and became an IEEE Fellow in 2014.

    rama@gatech.edu

    Website

    University, College, and School/Department

    IRI Connections:

    Renata Rawlings-Goss

    Renata Rawlings-Goss

    Renata Rawlings-Goss

    IDEaS Director of Industry Engagement
    Dr. Rawlings-Goss is responsible for interfacing with industry to cultivate industrial partnerships and embedded innovations labs, organizing workshops, retreats on topics relevant to emerging initiatives, job fairs, and numerous other activities. She builds bridges between industry and IRI activities. Renata brings rich experience in Big Data technology and policy from the National Science Foundation and the White House Office of Science and Technology Policy. During her tenure, she co-led inter-agency Big Data initiatives and led the formation of the National Data Science Organizers group. She is a biophysicist and her scientific work, at the University of Pennsylvania and the University of Michigan-Ann Arbor, was focused on biophysics, bioinformatics and next-generation genomics research. She also plays the lead role in managing the NSF South Big Data Innovation Hub from Georgia Tech. Dr. Rawlings-Goss has a Ph.D. in Biophysics.

    rrawlings.goss@gatech.edu

    Website

    University, College, and School/Department
    Additional Research:
    Bioinformatics

    IRI Connections:

    Jacob Abernethy

    Jacob Abernethy

    Jacob Abernethy

    Director for Student Engagement, IDEaS

    Jacob Abernethy is an Associate Professor in the College of Computing at Georgia Tech. He started his faculty career in the Department of Electrical Engineering and Computer Science at the University of Michigan. He completed his Ph.D. in Computer Science at the University of California at Berkeley, and then spent two years as a Simons postdoctoral fellow at the CIS department at UPenn. Abernethy's primary interest is in Machine Learning, with a particular focus in sequential decision making, online learning, online algorithms and adversarial learning models. He did his Master's degree at TTI-C, and his Bachelor's Degree at MIT.

    prof@gatech.edu

    Website

    Research Focus Areas:
    • Algorithms & Optimizations
    • Machine Learning

    IRI Connections:

    Giri Krishnan

    Giri Krishnan

    Giri Krishnan

    Associate Director, Center for Artificial Intelligence in Science and Engineering (ARTISAN)
    Principal Research Scientist

    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. His group's current focus is on generative methods for computational workflow, neural approaches for accelerating compute intensive problems and applying interpretable methods to scientific AI for advancing scientific understanding.

    Prior to joining Georgia Tech, he was research scientist at UC San Diego and his research involved developing large-scale modeling of the brain to study sleep, memory and learning. In addition, he has contributed towards neuro-inspired AI and neuro-symbolic approaches. He is broadly interested in the emergence of intelligent behavior from neural computations in the brain and AI systems. 

    Dr Krishnan has more than 50 publications and his research has been supported by multiple grants from NIH and NSF. He is passionate about open-science and reproducible science and strongly believes that progress in science requires reproducibility.

    giri@gatech.edu

    404.894.2132

    Office Location:
    CODA Building

    Google Scholar

    Research Focus Areas:
    • AI
    • Geosystems
    • Neuroscience
    Additional Research:

    AI : Deep learning, Neuro-symbolic ApproachesGeosciences.Molecular DynamicsNeuroscience : Theoretical and computational modeling


    IRI Connections: