Azra Bihorac
Professor/M.D. · University of Florida
Dr. Azra Bihorac’s research focuses on a computing framework for developing and deploying AI and pervasive sensing techniques.
Data Science Machine Learning Intelligent Human-Centered Health Care Clinical Informatics Precision Medicine
Eric Durant, P.E., Ph.D.
Professor, Program Director · Milwaukee School of Engineering
Dr. Eric Durant's research focuses on real-time audio processing with a focus on hearing aids and artificial intelligence/deep learning.
Deep Learning Audio Processing Beamforming Electrical Engineering Computer Engineering
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
Stan Ahalt
Faculty · UNC at Chapel Hill
Director, Renaissance Computing Institute and Professor, Department of Computer Science
Data Analysis High Performance Computing Data Science Public-Private Partnerships Signal Processing
Yi Chen
Henry J. Leir Chair in Healthcare and Associate Professor · New Jersey Institute of Technology
Professor Chen focuses on cutting-edge database, data mining and machine learning techniques with applications in business and health care
Information Integration Big Data Machine Learning Management Healthcare
Lei Huang
Professor of Electrical and Computer Engineering · Loyola Marymount University
Seaver College of Science and Engineering
Wireless multimedia networks Deep learning applications Cloud data security
James Hendler
Director, Institute for Data Exploration and Applications · Rensselaer Polytechnic Institute
Leading researcher in the Semantic Web and artificial intelligence
Cybersecurity Artificial Intelligence Machine Learning Semantic Web Computer Science
Dr Maria Chli
Reader, Computer Science · Aston University
Dr Chli's work is in the area of artificial intelligence, particularly in applying machine learning techniques.
Agent-Based Computing Deep Learning Architectures Machine Learning Techniques Probabilistic Modeling Smart Cities
Dorothea Herreiner
Associate Professor of Economics · Loyola Marymount University
Bellarmine College of Liberal Arts
Experimental/Behavioral Economics Environmental Economics Microeconomics Cultural Economics Faculty Development
David Bader
Distinguished Professor, Computer Science · New Jersey Institute of Technology
Interests lie at the intersection of data science & high-performance computing, with applications in cybersecurity
Computational Genomics Applications in Cybersecurity Data Science High-Performance Computing Massive-Scale Analytics
Nick Tsivanidis
Assistant Professor · Haas School of Business, University of California, Berkeley
Urban economist researching the process of urbanization in developing countries
Urbanization in Developing Countries Development Economics Urban and Regional Economics Applied Macroeconomics
Patrick Tighe
M.D./Associate Professor/Co-Director · University of Florida
Dr. Patrick Tighe’s research examines how AI can improve acute postoperative pain and patient safety.
Tools to Reduce Disparities in Perioperative Outcomes Perioperative Medicine Biomedical Informatics Anesthesiology Artificial Intelligence
Wei-Chun Chou
Research Assistant Professor · University of Florida
Wei-Chun Chou’s expertise is in bioinformatics, risk assessment and computational toxicology to address key risk assessment issues.
Computational Toxicology Machine Learning and Applications Chemical Risk Assessment
Damon Woodard
Professor/Director · University of Florida
Damon Woodard specializes in the application of artificial intelligence methods such as computer vision and natural language processing.
Machine Learning National Security Artifical Intelligence Biometrics
Sai Zhang
Assistant Professor · University of Florida
Sai Zhang's research leverages machine learning and big biomedical data to decode complex human diseases and advance precision medicine.
Computational Biology Computational Genomics Machine Learning Precision Medicine Statistical Genetics
Maura O'Neill
Lecturer | Distinguished Teaching Fellow · Haas School of Business, University of California, Berkeley
Expert in entrepreneurship, leadership, blockchain, and policy
Women and Racial/Ethnic Equity Breakthrough Innovation in Private & Private Sectors Blockchain & Cryptocurrency: Strategy, Regulatory Policy & Opportunity Identification Entrepreneurship & New Venture Finance Executive Leadership