Data Sciences and Artificial Intelligence

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.

Research-Active Faculty
Photo of Saeed Abdullah

Assistant Professor

Pervasive Health Technologies; Ubiquitous Computing; Human-Computer Interaction

Photo of Mahir Akgun

Assistant Teaching Professor

Learning Analytics; Computer-Supported Collaborative Learning (CSCL); Epistemic Agency

Photo of Jinghui Chen

Assistant Professor

Machine Learning; Adversarial Machine Learning; Security and Privacy in Machine Learning

Photo of Jonathan Dodge

Assistant Professor

Explainable AI; HCI

Photo of Fred Fonseca

Associate Professor

Data Science; Philosophy of Science; Philosophy of Technology

Photo of C. Lee Giles

David Reese Professor of Information Sciences and Technology

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

Photo of Vasant Honavar

Huck Chair in Biomedical Data Sciences and Artificial Intelligence

Artificial Intelligence; Machine Learning ; Causal Inference

Photo of Hadi Hosseini

Assistant Professor

Artificial Intelligence; Multiagent Systems; Algorithmic Fairness

Photo of Hong Hu

Assistant Professor

System Security; Software Security

Photo of Sharon Huang

Professor

Biomedical Image Data Analysis; Computer Vision; Machine Learning

Photo of Ting-Hao (Kenneth) Huang

Assistant Professor

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

Photo of Taegyu Kim

Assistant Professor

Robotic Vehicle Security; Software Security; Embedded Systems Security

Photo of Yubo Kou

Assistant Professor

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

Photo of Aron Laszka

Assistant Professor

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

Photo of Dongwon Lee

Professor

Data Science and Machine Learning; Cybersecurity; Social Computing

Photo of Lu Lin

Assistant Professor

Applied Machine Learning on Graphs; Trustworthy Machine Learning; Data Mining and Data Science

Photo of Fenglong Ma

Assistant Professor

Data Mining; Health Care Informatics; Machine Learning

Photo of Carleen Maitland

Professor

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

Photo of Prasenjit Mitra

Professor

Artificial Intelligence; Applied Machine Learning; Natural Language Processing

Default Directory Image

Assistant Research Professor

Biomedical Informatics; Data Privacy; Applied Statistics

Photo of Sarah Rajtmajer

Assistant Professor

Machine Learning and AI; Privacy and Security; Replication and Confidence in Science

Photo of Justin Silverman

Assistant Professor

Multivariate Statistics; Computational Biology; Biomedical Informatics

Photo of Linhai Song

Assistant Professor

Software Engineering; System Security; Programming Languages

Photo of Anna Squicciarini

Frymoyer Chair in Information Sciences and Technology

Privacy; Access Control; Online Deviance

Photo of Sarah Stager

Assistant Teaching Professor

Trustworthy Indications of Social Interactions In-person and Online; Human-Computer Interaction; Behavioral Moderators

Photo of Daniel Susser

Assistant Professor

Technology Ethics and Policy; Philosophy of Technology; Science and Technology Studies (STS)

Photo of Urja Vora

Associate Teaching Professor

Multidisciplinary Engineering; IoT; Software Architecture

Photo of James Wang

Distinguished Professor of Information Sciences and Technology

Biomedical Informatics; Affective Computing and Arts; Robotics and Computer Vision

Suhang Wang

Assistant Professor

Data Mining; Social Media Mining; Machine Learning

Photo of Shomir Wilson

Assistant Professor

Natural Language Processing; Privacy; Computational Social Science

Photo of Dinghao Wu

Professor

Cybersecurity; Machine Learning; Software Systems

Photo of Qingyun Wu

Assistant Professor

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

Photo of Amulya Yadav

Assistant Professor

Responsible Artificial Intelligence; Social Network Analysis; Machine Learning

Photo of John Yen

Professor

Artificial Intelligence; Cybersecurity; Human-AI Collaboration

Photo of Xiang Zhang

Associate Professor

Data Mining; Machine Learning; Big Data Analytics

Recent News

Center for Socially Responsible AI accepting seed funding proposals

September 21, 2022

Penn State’s Center for Socially Responsible Artificial Intelligence is inviting short proposals for its annual seed funding program. Applications will be accepted through Nov. 1, with projects expected to start in spring 2023 and last for up to two years.

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Art history, IST receive grant to continue collaborative research project

August 29, 2022

The collaborative research project conducted by the Department of Art History and the College of Information Sciences and Technology, titled “After Constable’s Clouds,” is Phase 2 of “Seeing Constable’s Clouds,” which was supported by a level 1 National Endowment for the Humanities grant.

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College of IST professor earns fourth consecutive Amazon Research Award

July 20, 2022

James Wang, distinguished professor in the Penn State College of Information Sciences and Technology, has received an Amazon Research Award to advance his team's work on machine learning-based, emotion modeling that is geared toward enhancing the interaction between humans and artificial intelligence (AI) in day-to-day activities.

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Good, bad, fair: New algorithms could help fairly distribute goods or chores

July 1, 2022

When organizations need to divvy up indivisible items among multiple parties with different needs and preferences, how can they ensure that everyone gets their fair share?

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Office of Research

411 Eric J. Barron Innovation Hub
State College, PA 16801

researchadmin@ist.psu.edu
(814) 863-6801