Machine Learning Experts Available

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

John Bukowy, Ph.D.

Associate Professor · Milwaukee School of Engineering

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

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

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

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

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

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

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

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

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