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
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
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
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
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
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
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
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