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