Malik Magdon-Ismail
Professor, Computer Science · Rensselaer Polytechnic Institute
Learning from data and decision-making in complex data systems
Probability and Stochastic Processes Pattern Recognition Machine Learning Big Data Algorithms
Xiaoming Liu
MSU Foundation Professor · Michigan State University
Xiaoming Liu works on computer vision, machine learning, and biometrics, especially on face related analysis.
Deepfake Detection Biometrics Computer Vision Machine Learning Pattern Recognition
Warren Shiau
Research Vice-President, AI & Analytics · International Data Corporation (IDC)
Warren Shiau is a Research Vice-President, specializing in AI & Analytics at IDC Canada.
Artifical Intelligence Quantitative Surveying Market assessment and segmentation Message and value proposition testing Thought leadership research
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
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
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
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
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
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
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
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
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
William Hahn, Ph.D.
Assistant Professor · Florida Atlantic University
William Hahn researches neural networks and deep learning.
Neural Networks Deep Learning Medical Imaging
Sameer Srivastava
Associate Professor | Ewald T. Grether Chair in Business Administration and Public Policy | Co-Director, Computational Culture Lab | Co-Director, Berkeley Culture Initiative · Haas School of Business, University of California, Berkeley
Pioneering the use of computational methods to study culture and cognition
Culture and Cognition Organizational Sociology Organizational Theory Network Analysis Economic Sociology
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
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.
Assistant Professor of Information Systems and Business Analytics, College of Business Administration · Loyola Marymount University
Big Data Machine Learning Data Mining Spatial Analytics