RJ Nowling, Ph.D.

Associate Professor · Milwaukee School of Engineering

Dr. Nowling is passionate about CS education and collaborating with students in research at the interface of computer science and biology.

Computer Science Machine Learning Data Science Genomics Data Structures and Algorithms

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

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

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

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

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

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

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

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

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

Yanxiao Zhao, Ph.D.

Associate Professor, Graduate Program Director | Department of Electrical and Computer Engineering · VCU College of Engineering

Professor Zhao specializes in wireless networking, Internet of things and cyber security.

Wireless Communication and Networking Internet of Things (IoT) Cyber Security Machine Learning and Applications Intelligent Reflecting Surface Assisted Systems

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