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
Alberto Cano, Ph.D.
Assistant Professor · VCU College of Engineering
Dr. Cano specializes in machine learning, data mining, classification, big data, and high-performance computing.
High Performance Computing Machine Learning Data Mining Big Data Classification
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
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
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
Bartosz Krawczyk, Ph.D.
Assistant Professor · VCU College of Engineering
Dr. Krawczyk's areas of research are machine learning, data stream mining, and big data.
Machine learning: ensembles, imbalanced data, one-class classification, kernel methods. Data stream mining: concept drift, active learning, online classification and regression. Big data: mining massive datasets, efficient and scalable learning algorithms
Joelle Pineau
Associate Professor, School of Computer Science; Co-director, Reasoning and Learning Lab · McGill University
Machine Learning Researcher; Professor of Computer Science and William Dawson Scholar at McGill University; Senior Fellow at CIFAR
Reinforcement learning and probabilistic inference Deep Learning Natural Language Processing Robotics Adaptive treatment design
Warren Shiau
Research Vice-President · International Data Corporation (IDC)
Warren Shiau is a Research Vice-President with IDC Canada.
Analytics Qualitative Market Research Business and Consumer Buying Behaviour PR/communications support Thought leadership research
Owen Wu
Associate Professor of Operations and Decision Technologies · Indiana University, Kelley School of Business
Professor Wu focuses on researching energy sustainability and teaching machine learning
Machine Learning Investment Management Energy Efficiency Sustainability Renewable Energy
Cody Buntain
Assistant Professor · New Jersey Institute of Technology
Research interests intersect with data science and social science, have key applications in crisis informatics and political engagement
Machine Learning Weak Supervision Social Media Online Political Engagement Crisis Informatics
James Randerson
Chancellor's Professor Earth System Science · UC Irvine
James Randerson studies the global carbon cycle using remote sensing and in-situ measurements and different types of models.
Climate-Carbon Cycle Feedbacks Forests Wildfires Climate Plants
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
Curt Breneman
Dean, School of Science & Professor, Chemistry and Chemical Biology · 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
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
William Hahn, Ph.D.
Assistant Professor · Florida Atlantic University
William Hahn researches neural networks and deep learning.
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
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
Panagiotis (Panos) Adamopoulos
Assistant Professor of Information Systems & Operations Management · Emory University, Goizueta Business School
Social Media Information Systems Recommender Systems Social Commerce Word of Mouth
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