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
Assistant Professor
Crowdsourcing & Human Computation; Crowd-AI Systems; Human-Computer Interaction
Assistant Professor
Robotic Vehicle Security; Software 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
Assistant Professor
Applied Machine Learning on Graphs; Trustworthy Machine Learning; Data Mining and Data Science
Professor
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
Multivariate Statistics; Computational Biology; Biomedical Informatics
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
