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.

Assistant Professor
Pervasive Health Technologies; Ubiquitous Computing; Human-Computer Interaction

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
Machine and Deep Learning; Artificial Intelligence; Text Processing and Knowledge Extraction

Huck Chair in Biomedical Data Sciences and Artificial Intelligence
Artificial Intelligence; Machine Learning ; Causal Inference

Associate Dean for Undergraduate Studies
Biomedical Image Data Analysis; Computer Vision; Machine Learning

Assistant Professor
Crowdsourcing & Human Computation; Crowd-AI Systems; Human-Computer Interaction

Assistant Professor
Software Security; Robotic Vehicle Security; Embedded Systems Security

Assistant Professor
Human-computer Interaction; Computer-supported Cooperative Work; Social Computing

Assistant Professor
Artificial Intelligence and Machine Learning; Cyber-Physical Systems and Smart & Connected Communities; Cybersecurity

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

Associate Dean for Research
Information and Communication Technologies for Development (ICTD); Social Informatics; Organizational Informatics

Professor
Artificial Intelligence; Applied Machine Learning; Natural Language Processing

Assistant Research Professor
Biomedical Informatics; Data Privacy; Applied Statistics

Assistant Professor
Machine Learning and AI; Privacy and Security; Replication and Confidence in 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

Distinguished Professor of Information Sciences and Technology
Biomedical Informatics; Affective Computing and Arts; Robotics and Computer Vision

Assistant Professor
Natural Language Processing; Privacy; Computational Social Science

Assistant Professor
Reinforcement Learning; Automated Machine Learning; Online Optimization/Learning/Decision-making

Assistant Professor
Responsible Artificial Intelligence; Social Network Analysis; Machine Learning

Professor
Artificial Intelligence; Cybersecurity; Machine Learning, Deep Representation Learning