David Bader
Distinguished Professor, Data Science · New Jersey Institute of Technology
Interests lie at the intersection of data science & high-performance computing, with applications in cybersecurity
Graph Analytics Massive-Scale Analytics High-Performance Computing Data Science Applications in Cybersecurity
Michael Prietula
Professor of Information Systems & Operations Management · Emory University, Goizueta Business School
Human decision making Theatre, Performance & Leadership Public Health & Technology Computational Modeling of Individuals and Groups UX Design
Aman Yadav
Professor, Director of Master of Arts in Educational Technology · Michigan State University
An expert in STEM education, with a specific focus on computer science and engineering education
Teacher Professional Development Case-based Instruction Computer Science Education STEM Education Engineering Education
Carolyn Penstein Rosé
Professor · Carnegie Mellon University
Carolyn Penstein Rosé's research looks to understand and improve human conversation through computer systems.
Language Technologies Human Conversation Text Mining Human-Computer Interaction Computational Discourse Analysis
Gennady Miloshevsky, Ph.D.
Associate Professor, Department of Mechanical and Nuclear Engineering · VCU College of Engineering
Professor Miloshevsky researches computational physics with emphasis on effects of plasma, laser and particle beams on materials.
Materials Under Extreme Conditions Radiation- and Plasma-Material Interactions Physics of High Energy Densities Atomic, Molecular and Plasma Physics Dusty Plasmas
Christopher A. Lemmon, Ph.D.
Inez A Caudill Professor; Associate Chair, Department of Biomedical Engineering | B.S., Lehigh University | M.S., University of Wisconsin | Ph.D., Johns Hopkins University · VCU
Dr. Lemmon's research lies in cell-generated traction forces and extracellular matrix biology
Cell-generated traction forces Extracellular matrix biology Cellular mechanotransduction Mechanobiology of fibrosis Matrix mechanics and signaling in the tumor microenvironment;
Olexandr Isayev
Assistant Professor, Chemistry · Carnegie Mellon University
Olexandr Isayev's research focuses on solving fundamental chemical problems with machine learning, molecular modeling and quantum mechanics.
Theoretical Chemistry Computational Chemistry Machine Learning Cheminformatics Drug Discovery
Kam Dahlquist
Professor of Biology · Loyola Marymount University
Seaver College of Science and Engineering
Molecular Biology Science Bioinformatics Genomics Computational Biology
Dana Cupkova
Associate Professor · Carnegie Mellon University
Dana Cupkova is a co-founder and design director of EPIPHYTE Lab, an architectural design and research collaborative.
Advanced Manufacturing Architecture Energy Sustainability Computational Design
Arjun Krishnan
Assistant Professor · Michigan State University
Arjun Krishnan develops and applies computational data-driven approaches to unravel how our genome relates to health and disease.
Precision Medicine Big Data Genome-wide molecular networks Computational Biology Machine Learning
Swati Gupta
Assistant Professor, Industrial and Systems Engineering · Georgia Tech - College of Engineering
Gupta's research focuses on optimization, machine learning, and bias and fairness within the AI sphere.
Data-driven Decision-making Under Partial Information Online and Machine Learning Combinatorial, Convex and Robust Optimization Fairness and Bias in Decisions
Christopher Garcia
Associate Professor of Business · University of Mary Washington
Christopher Garcia is an expert in optimization, quantitative modeling and business analytics.
Applied Statistics Data Mining Predictive Analysis Optimization Experimental Design
Jung Lee, Ph.D.
Associate Professor · Milwaukee School of Engineering
Dr. Jung Lee is an expert in bioinformatics, drug design and molecular modeling.
Molecular Modeling Computational Biology Chemistry Biomolecular Engineering Bioinformatics
Channa R. De Silva
Associate Professor · Western Carolina University
Channa De Silva teaches chemistry and carries out research in the areas of nanotechnology, biotechnology, and computational chemistry.
General Chemistry Computational Chemistry Nanotechnology Biotechnology Inorganic Chemistry
Hyung Kim
Professor · Carnegie Mellon University
Hyung Kim's research area is theoretical and computational chemistry.
Chemical Reactions and Spectroscopy in Solution Computer Simulations Theoretical and Computational Chemistry Equilibrium and Nonequilibrium Statistical Mechanics Green Solvents
Supriyo Bandyopadhyay, Ph.D.
Commonwealth Professor, Department of Electrical and Computer Engineering · VCU College of Engineering
Professor Bandyopadhyay has authored and co-authored over 400 research publications
Self-assembly of Regimented Nanostructure Arrays Spintronics Quantum Devices Hot Carrier Transport in Nanostructures Nanoelectronics
Curt Breneman
Dean of the School of Science; Professor; Director, Rensselaer Exploratory Center for Cheminformatics Research (RECCR) · Rensselaer Polytechnic Institute
Specializes in the development of new molecular property descriptors and machine learning methods for physical and biochemical problems
Science Machine Learning Methods Chemical Biology Physical Organic and Computational Chemistry Chemistry
Derek Riley, Ph.D.
Professor, Program Director · Milwaukee School of Engineering
Dr. Derek Riley is an expert in machine learning, deep learning, artificial intelligence, simulation, and high-performance computing.
Machine Learning Deep Learning Computational Science Computer Science Algorithms
Selmer Bringsjord
Director, Rensselaer AI & Reasoning Lab; Professor, Cognitive Science and Computer Science · Rensselaer Polytechnic Institute
Expert in logic and philosophy, specializing in AI and reasoning
Artifical Intelligence Philosophical Foundations of AI Computational Economics AI Systems Formal Logic
Tomasz Arodz, Ph.D.
Associate Professor · VCU College of Engineering
Dr. Arodz's research focuses on machine learning and bioinformatics
Machine Learning: Nonlinear Classification Methods That Incorporate Existing Knowledge Into Training Systems Biology: Integration of Prior Biological Knowledge and Multiple Sources of Data for Pathway Discovery Computational Biology: Analysis of Role of Protein Mutations in Evolution and Disease Pattern Recognition and Machine Learning in Biomedicine Protein Evolution