Zhoumeng Lin
Associate Professor · University of Florida
Zhoumeng Lin’s research is on developing computational models to study nanomedicine, food safety, nanoparticle and chemical risk assessment.
Machine Learning Food Safety Assessment Environmental Health Physiologically-Based Pharmacokinetic (PBPK) Modeling Toxicology
John Bukowy, Ph.D.
Associate Professor · Milwaukee School of Engineering
Dr. John Bukowy's area of expertise include software development and machine learning.
Alona Fyshe
Assistant Professor · University of Victoria, Computer Science Department
Machine Learning and the Neuroscience of Language Understanding
Machine Learning Neuroscience and Language Computational Linguistics Natural Language Processing Data Analysis and Data Mining
Philip Koopman
Associate Professor · Carnegie Mellon University
Philip Koopman is actively involved with AV policy and standards as well as more general embedded system design and software quality.
Software Engineering Autonomous Vehicle Safety Embedded Systems Safety-Critical Computer Systems Automotive Computing
Panagiotis (Panos) Adamopoulos
Associate Professor of Information Systems & Operations Management · Emory University, Goizueta Business School
Social Media Information Systems Recommender Systems Social Commerce Word of Mouth
Xilei Zhao
Assistant Professor · University of Florida
Xilei Zhao focuses on developing and applying data and computational science methods to tackle problems in transportation and resilience.
Machine Learning Public Transit Hurricane Evacuation Community Resilience Artificial Intelligence
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
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
Charles McGill, Ph.D.
Assistant Professor · VCU College of Engineering
Dr. McGill is an assistant professor researching computational chemistry and machine learning.
Computational Chemistry Chemical Property Prediction Machine Learning Kinetics
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
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.
Large Language Models, Generative AI Machine Learning Deep Learning Computational Science Computer Science
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
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
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
C. Nataraj, PhD
Moritz Endowed Professor of Engineered Systems; Director, VCADS Research Center | College of Engineering · Villanova University
C. Nataraj, PhD, is an expert in unmanned vehicles, robotics, and diagnostic healthcare systems.
Autonomous Vehicles Drones Machine Learning Unmanned Vehicles Robotics
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.
Petascale and Exascale Computing High-Speed Multiphase Flows Environmental Flows Turbulent Flow Multiphase 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