Christopher D. Carothers

Director, Center for Computational Innovations (CCI) & Professor, Computer Science · Rensselaer Polytechnic Institute

Researches massively parallel computer systems with a focus on modeling and simulation systems

Information and Computer Science Parallel Discrete-Event Simulation Computer Science Massively Parallel Systems Modeling and Simulation Systems

Simon DeDeo

Associate Professor · Carnegie Mellon University

Simon DeDeo conducts empirical investigations, and builds mathematical theories, of both historical and contemporary phenomena.

Theoretical Physics Social and Decision Sciences Artificial Intelligence Astrophysics Applied Mathematics

John Bukowy, Ph.D.

Assistant Professor · Milwaukee School of Engineering

Dr. John Bukowy's area of expertise include software development and machine learning.

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

Ruogu Fang

Associate Professor/Associate Director · University of Florida

Ruogu Fang works on artificial intelligence-empowered precision brain health and brain/bio-inspired AI.

Brain Informatics Neuroimaging Precision Intervention Deep Learning Medical Image Analysis

Robbie Nakatsu, Ph.D.

Professor of Information Systems and Business Analytics, College of Business Administration · Loyola Marymount University

Crowdsourcing Information Technology Management Data Science Data Management Machine Learning

Sudip Bhattacharjee, Ph.D.

Professor, University of Connecticut; Senior Research Fellow, US Census Bureau · University of Connecticut

Extensive research consulting experience with Fortune 100 and US govt on “Big Data” driven decision making in IT and operations.

Energy INformatics Operations Research Information Systems Economics Machine Learning Big Data

Bintong Chen

Professor, Business Administration; Director, Institute for Financial Services Analytics · University of Delaware

Prof. Chen's cross-disciplinary expertise includes knowledge of both business management practices, data science, and systems engineering.

Optimization Machine Learning Game Theory Business Logistics Customer Service Management

Brian Clark

Assistant Professor, Lally School of Management · Rensselaer Polytechnic Institute

Quantitative finance expert with extensive experience in risk management and machine learning in the banking and credit card industries.

Financial Regulation Financial Intermediation Quantitative Finance Machine Learning in Finance Risk Management

Sivaramakrishnan Balachandar

Distinguished Professor · University of Florida

Balachandar studies data-driven solutions of industrial and environmental multiphase flow processes from volcanic eruptions to fuel spray.

Space Petascale and Exascale Computing High-Speed Multiphase Flows Environmental Flows Turbulent Flow

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

Scott Niekum

Associate Professor, Manning College of Information and Computer Sciences · University of Massachusetts Amherst

Scott Niekum works to enable personal robots to be deployed in the home and workplace. He is an expert on the social implications of AI.

AI Human-Robot Interaction Robotic Manipulation AI Safety Reinforcement Learning

Scott Fahlman

Research Faculty Emeritus - Contingent · Carnegie Mellon University

Scott Fahlman has worked in many areas of Artificial Intelligence, including the use of massively parallel machines to solve AI problems.

Artificial Neural Networks Computer Science Artificial Intelligence Knowledge Representation Machine Learning

Jiang Bian

Professor/Chief · University of Florida

Jiang Bian uses big data to advance medicine and creates methods to analyze diverse, massive data sources.

Data Privacy in Healthcare Cancer Data Artificial Intelligence Data-driven Medicine Biomedical Informatics

Aaron Young

Assistant Professor, Mechanical Engineering · Georgia Tech - COE

Aaron Young is an expert in powered orthotic and prosthetic control systems for persons with stroke, neurological injury or amputation.

Robotic Mobility Enhancement Myoelectric Control Biological Signal Processing Machine Learning Assistive Devices

Noah Hammarlund

Assistant Professor · University of Florida

Noah Hammarlund researches disparities in cancer care with data science and community engagement approaches.

Artificial Intelligence Econometric Analysis Health Economics Machine Learning Prostate Cancer Disparities

Mario Bergés

Professor · Carnegie Mellon University

Mario Bergés is interested in making our built environment more operationally efficient through the use of communication technologies.

Sensor Networks Smart Grid Infrastructure Monitoring Building Energy Management Machine Learning for Signal Processing

William Hahn, Ph.D.

Assistant Professor · Florida Atlantic University

William Hahn researches neural networks and deep learning.

Neural Networks Deep Learning Medical Imaging

Parisa Rashidi

Associate Professor/Co-Director · University of Florida

Parisa Rashidi specializes in intelligent patient monitoring systems using artificial intelligence and sensing technology.

Pervasive Health Sensing Technology Machine Learning for Health Medicine Artificial Intelligence (AI) Digital Health

Craig Albert, PhD

Professor of Political Science and Graduate Director of the Master of Arts in Intelligence and Security Studies · Augusta University

Dr. Craig Albert focuses on national security, cyberconflict, ethnic conflict, and political thought.

Ethnic Conflict Terrorism Political Science National Security