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 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

Associate 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 Dongwon Lee

Professor

Data Science and Machine Learning; Cybersecurity; Social Computing

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

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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)

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Assistant Research Professor

Formal Verification; Computational Sciences; Fault Tolerance

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

Real-time, accurate virus detection method could help fight next pandemic

June 2, 2022

A method of highly accurate and sensitive virus identification using Raman spectroscopy, a portable virus capture device and machine learning could enable real-time virus detection and identification to help battle future pandemics, according to a team of researchers led by Penn State. 

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IST assistant professor Hadi Hosseini receives NSF CAREER award

May 23, 2022

Hadi Hosseini, assistant professor in the Penn State College of Information Sciences and Technology, is the recipient of a 2022 Faculty Early Career Development award from the National Science Foundation, which supports junior faculty members who exemplify the role of teacher-scholar through outstanding research, excellent teaching, and the inte

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IST academic search engine awarded ‘Best Open Source Project’ by BCS

April 19, 2022

CiteSeerX, one of the world’s earliest open source academic search engines and co-created by C.

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Using tweets to predict real-time food shortages

April 11, 2022

The sentiments and emotions expressed in tweets on Twitter can be used in real time to assess where supply chain disruptions due to a pandemic, war or natural disaster may lead to food shortages, according to researchers at Penn State and the Hamad Bin Khalifa University in Qatar.

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Office of Research

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

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