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

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

Vincent Conitzer

Professor · Carnegie Mellon University

Vincent Conitzer is an expert in ethics and AI.

Ethics in AI Machine Learning Artificial Intelligence Computer Science

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

Zhen Bai

Assistant Professor of Computer Science · University of Rochester

Bai is an expert in human-computer interaction, augmented reality, and artificial intelligence (AI)

Artifical Intelligence Human-Computer Interaction AR / VR Computer-Supported Collaborative Work AI

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

Jiebo Luo

Albert Arendt Hopeman Professor of Engineering / Professor of Computer Science · University of Rochester

Luo is an expert in artificial intelligence (AI) foundations in an array of fields

AI Artificial Intelligence and Social Science Artificial Intelligence and Scheduling and Planning Artificial Intelligence and Robotics Artificial Intelligence and Natural Language Processing

Noah Hammarlund

Assistant Professor · University of Florida

Noah Hammarlund researches disparities in cancer care with data science and community engagement approaches.

Artificial Intelligence Econometric Analysis Health Economics Machine Learning Prostate Cancer Disparities

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

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.

Political Philosophy Ethnic Conflict Influence Operations Cybersecurity Policy & Strategy International Security Studies

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

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

William Hahn, Ph.D.

Assistant Professor · Florida Atlantic University

William Hahn researches neural networks and deep learning.

Neural Networks Deep Learning Medical Imaging

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

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

M. Ehsan Hoque

Asaro Biggar Family Fellow in Data Science, Assistant Professor of Computer Science, and faculty member in the Goergen Institute for Data Science and Artificial Intelligence · 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

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

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