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

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

Graduate Director, PhD in Intelligence, Defense, and Cybersecurity Policy and Master of Arts in Intelligence and Security Studies · Augusta University

Dr. Craig Albert focuses on propaganda, information warfare, national security studies, cyberconflict, and political thought.

National Security & Intelligence Issues Propaganda and Persuasion National Security Political Science Terrorism

William Hahn, Ph.D.

Assistant Professor · Florida Atlantic University

William Hahn researches neural networks and deep learning.

Neural Networks Deep Learning Medical Imaging

Alberto Cano, Ph.D.

Associate Professor · VCU College of Engineering

Dr. Cano specializes in machine learning, data mining, classification, big data, data streams, and high-performance computing.

High Performance Computing Machine Learning Data Mining Big Data Classification

Arin Brahma, Ph.D.

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

Ecommerce Systems Architecture and Design Operations and Supply Chain Management Big Data Analytics Model Deployment and MLOps

Curt Breneman

Dean of the School of Science; Professor; Director, Rensselaer Exploratory Center for Cheminformatics Research (RECCR) · Rensselaer Polytechnic Institute

Specializes in the development of new molecular property descriptors and machine learning methods for physical and biochemical problems

Science Machine Learning Methods Chemical Biology Physical Organic and Computational Chemistry Chemistry

Eyuphan Bulut, Ph.D.

Associate Professor · VCU College of Engineering

Professor Bulut's research interests include wireless networks and mobile computing, cyber-physical systems, and social networks

Applied Machine Learning with Sensor Data and Wireless Signals Mobile Computing: Wireless Networks Cyber-physical Systems Mobile Social Networks Wireless Charging Security: Cyber Security Network Security Privacy and Trust Mobile (3G/4G) Systems: Mobile Packet Core Cloud Mobile Data Offloading Internet of Things (IoT), Unmanned Aerial Vehicles (UAVs), Wireless Sensing

M. Ehsan Hoque

Asaro Biggar Family Fellow in Data Science, Assistant Professor of Computer Science, and Interim Director, Goergen Institute for Data Science · University of Rochester

M. Ehsan Hoque is designing and implementing new algorithms to sense subtle human nonverbal behavior

Data Science Human Nonverbal Behavior Interactive Machine Learning Human-Computer Interaction Computer Vision

Martin Kang, Ph.D.

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

Econometrics Empirical Analysis Artificial Intelligence Machine Learning Data Science

Kristin Bennett

Professor, Mathematical Sciences and Computer Science & Associate Director, Institute for Data Exploration and Application (IDEA) · Rensselaer Polytechnic Institute

Extracts information from data using novel predictive or descriptive mathematical models

Bioinformatics Data Visualization Machine Learning Data Mining Health Informatics

Ace Vo, Ph.D.

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

Big Data Machine Learning Data Mining Spatial Analytics

Kert Anzilotti, M.D., MBA

System Chief Medical Officer and Interim President of the Medical Group. · ChristianaCare

Kert Anzilotti is an expert in the optimization of care delivery through strategic visioning and leveraging medical informatics.

Hospital Throughput Quality Acute Care Radiology Clinical Strategy

James Hendler

Director, Future of Computing Institute · Rensselaer Polytechnic Institute

Leading researcher in the Semantic Web and artificial intelligence

Cybersecurity Artificial Intelligence Machine Learning Semantic Web Computer Science

Rosalyn Hobson Hargraves, Ph.D.

Professor, Department of Electrical and Computer Engineering · VCU College of Engineering

Rosalyn Hobson Hargraves is an associate professor in the Department of Electrical and Computer Engineering

Engineering Education and Service Learning Medical Image and Signal Processing Artificial Neural Network Applications Science and Technology in International Development

Stephen J. Andriole, PhD

Thomas G. Labrecque Professor of Business Technology | Villanova School of Business · Villanova University

Stephen J. Andriole, PhD, is an expert in emerging technologies and business technology strategy.

Emerging Technology Trends Technology Adoption Virtual & Augmented Reality Artificial Intelligence & Machine Learning Social Media Analytics

Zico Kolter

Associate Professor and Director of Machine Learning · Carnegie Mellon University

Zico Kolter researches how to make deep learning algorithms more robust, safer, and understand how data impacts how models function.

Elections Large Language Models, Generative AI Neural Networks Deep Learning Machine Learning

Dean Krusienski, Ph.D.

Professor and Graduate Program Director, Department of Biomedical Engineering | B.S., M.S., Ph.D., The Pennsylvania State University · VCU College of Engineering

Focusing on neural signal processing and analysis for the development of brain-computer interfaces and neuroprosthetic devices.

EEG Analysis Brain-Computer Interfaces Signal Processing Machine Learning Neuroprosthetics

Arjun Krishnan

Assistant Professor · Michigan State University

Arjun Krishnan develops and applies computational data-driven approaches to unravel how our genome relates to health and disease.

Precision Medicine Big Data Genome-wide molecular networks Computational Biology Machine Learning

Jeremy Kedziora, Ph.D.

Associate Professor · Milwaukee School of Engineering

Dr. Jeremy Kedziora is the PieperPower Endowed Chair of Artificial Intelligence at MSOE.

Data Science Machine Learning Statistical Modeling Bayesian Inference Game Theory