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
Taghi Khoshgoftaar, Ph.D.
Motorola Professor · Florida Atlantic University
Taghi Khoshgoftaar researches computer security and intrusion detection systems.
Computer Security and Intrusion Detection Systems Software Engineering Machine Learning Data Mining Big Data Analytics
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
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
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
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
Wei-Chun Chou
Research Assistant Professor · University of Florida
Wei-Chun Chou’s expertise is in bioinformatics, risk assessment and computational toxicology to address key risk assessment issues.
Computational Toxicology Machine Learning and Applications Chemical Risk Assessment
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.
Large-Scale Simulations Shock-Particle Interaction Machine Learning for Multiphase Flow Multiphase Flow Turbulent Flow
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
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
Jiang Bian
Professor · 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
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
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
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
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
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