Our research in artificial intelligence and big data explores how we can understand intelligence by constructing computational models of intelligent behavior and how we can apply the insights gleaned from the vast amount of information available in our world. Specifically, we study and develop algorithmic theories to model aspects of behavior through machine learning, predictive modeling, data mining, and causal discovery. We explore its applications in health and bioinformatics, social and organizational informatics, learning analytics, text analytics, image analytics, and computational discovery, among others.
Associate Professor
Digital Health; Human-Computer Interaction; Human-centered AI for Health
Assistant Teaching Professor
Learning Analytics; Computer-Supported Collaborative Learning (CSCL); Epistemic Agency
Assistant Professor
Machine Learning; Adversarial Machine Learning; Security and Privacy in Machine Learning
David Reese Professor of Information Sciences and Technology
Biomedical Image Data Analysis; Computer Vision; Machine Learning
Associate Professor
Natural Language Processing; Human-Computer Interaction; Crowdsourcing & Human Computation
Assistant Professor
Software Security; Robotic Vehicle Security; Embedded Systems Security
Haile Family Early Career Professor in IST
Human-computer Interaction; Computer-Supported Cooperative Work; Social Computing
Assistant Professor
Artificial Intelligence; Machine Learning; Cyber-Physical Systems (Transportation, Energy)
Professor and Director of Doctoral Programs
Cybersecurity; Data Science and Machine Learning; Social Computing
Assistant Professor
Applied Machine Learning on Graphs; Trustworthy Machine Learning; Data Mining and Data Science
Professor and Associate Dean for Research and Graduate Affairs
Humanitarian Informatics; Refugee Tech; Critical data studies
Teaching Professor
Data Science and Artificial Intelligence, Transaction Security
Assistant Professor
Machine Learning and AI; Privacy and Security; Science of Science
Assistant Professor
Scale Reliant Inference; Partially Identified Models; Estimation Theory
Frymoyer Chair in Information Sciences and Technology
Privacy; Access Control; Online Deviance
Assistant Teaching Professor
Trustworthy Indications of Social Interactions In-person and Online; Human-Computer Interaction; Behavioral Moderators
Associate Teaching Professor
smart cities, knowledge management, organizational learning, intelligent education systems
Distinguished Professor of Information Sciences and Technology
Biomedical Informatics; Affective Computing; Robotics and Computer Vision
Assistant Professor
Reinforcement Learning; Automated Machine Learning; Online Optimization/Learning/Decision-making
Associate Professor
Responsible Artificial Intelligence; Social Network Analysis; Machine Learning
Professor
Artificial Intelligence; Cybersecurity; Machine Learning, Deep Representation Learning
