Artificial Intelligence and Big Data

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.

View Current Research Projects

Photo of Syed Billah

Assistant Professor of Information Sciences and Technology

E308 Westgate Building

(814) 865-3961

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Photo of Guoray Cai

Associate Professor of Information Sciences and Technology

E321 Westgate Building

(814) 865-4448

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Photo of Chao-Hsien Chu

Professor of Information Sciences and Technology

E327 Westgate Building

(814) 865-4446

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Photo of Fred Fonseca

Associate Professor of Information Sciences and Technology

E388 Westgate Building

(814) 867-4025

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Photo of Peter Forster

Associate Teaching Professor of Information Sciences and Technology

E375 Westgate Building

(814) 863-8304

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Photo of C. Lee Giles

David Reese Professor of Information Sciences and Technology

E350 Westgate Building

(814) 865-7884

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Photo of Benjamin Hanrahan

Assistant Professor of Information Sciences and Technology

E383 Westgate Building

(814) 867-4211

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Photo of Vasant Honavar

Professor and Edward Frymoyer Chair of Information Sciences and Technology

E335 Westgate Building

(814) 865-3141

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Photo of David Hozza

Lecturer of Information Sciences and Technology

E352 Westgate Building

(814) 865-7719

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Photo of Sharon Huang

Associate Professor of Information Sciences and Technology

E317 Westgate Building

(814) 863-7235

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Photo of Ting-Hao (Kenneth) Huang

Assistant Professor of Information Sciences and Technology

E357 Westgate Building

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Photo of Johnson Kinyua

Associate Teaching Professor of Information Sciences and Technology

E371 Westgate Building

(814) 865-4570

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Photo of Dongwon Lee

Associate Professor of Information Sciences and Technology

305D Steam Services Building

(814) 865-0687

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Photo of Zhenhui (Jessie) Li

Associate Professor of Information Sciences and Technology

E331 Westgate Building

(814) 863-6317

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Photo of Peng Liu

Raymond G. Tronzo, MD Professor of Cybersecurity

305A Steam Services Building

(814) 863-0641

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Photo of Fenglong Ma

Assistant Professor of Information Sciences and Technology

E304A Westgate Building

(814) 863-9497

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Photo of Prasenjit Mitra

Associate Dean for Research

E397G Westgate Building

(814) 865-2379

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Photo of  Sarah Rajtmajer

Assistant Professor of Information Sciences and Technology

E351 Westgate Building

814-863-2554

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Photo of Marc Rigas

Assistant Teaching Professor of Information Sciences and Technology

E315 Westgate Building

(814) 863-2632

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Photo of Anna Squicciarini

Associate Professor of Information Sciences and Technology

E326 Westgate Building

(814) 863-7614

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Photo of Andrea Tapia

Professor of Information Sciences and Technology

E380 Westgate Building

(814) 865-1524

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Photo of Chun-Hua Tsai

Assistant Research Professor

E374 Westgate Building

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Suhang Wang

Assistant Professor of Information Sciences and Technology

E387 Westgate Building

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Photo of James Z. Wang

Professor of Information Sciences and Technology

E354 Westgate Building

(814) 865-7889

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Photo of Ting Wang

Assistant Professor of Information Sciences and Technology

E369 Westgate Building

(814) 865-0988

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Photo of Shomir Wilson

Assistant Professor of Information Sciences and Technology

E310 Westgate Building

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Photo of John Yen

Professor of Information Sciences and Technology

E359 Westgate Building

(814) 865-6174

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Photo of Xiang Zhang

Associate Professor of Information Sciences and Technology

E332 Westgate Building

(814) 865-7004

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Photo of Xiaolong (Luke) Zhang

Associate Professor of Information Sciences and Technology

E323 Westgate Building

(814) 863-9462

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Photo of Zihan Zhou

Assistant Professor of Information Sciences and Technology

E367 Westgate Building

(814) 865-8717

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Office of Research

E339 Westgate Building
University Park, PA 16802

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

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Research Labs and Centers

Algorithmic Learning, Privacy and Security (ALPS) Laboratory

The ALPS Laboratory is a group of multidisciplinary researchers that conducts cutting-edge research at the intersection of machine learning, computational privacy, and cybersecurity. Our mission is to fully unleash the potential of data-driven algorithmic systems to support groundbreaking discoveries and critical decision-making. We look to the real world for practical and important problems. Then, we aim to develop effective, scalable analytical tools to empower such systems and mitigate their negative impact on individuals and society.

Artificial Intelligence Research Laboratory

The Artificial Intelligence Research Laboratory conducts research in artificial intelligence, machine learning, data mining, information integration, and semantic web. Its projects explore applications in bioinformatics, engineering informatics, cheminformatics, materials informatics, social informatics, and related areas.

Center for Big Data and Discovery Informatics

The Center for Big Data Analytics and Discovery Informatics aims to accelerate advances in a number of fields by addressing the challenges in data management, data integration, data analytics, and predictive modeling and simulation to realize the full potential of big data. Our researchers seek to understand how scientists, decision makers, and the public at large can use this wealth of information to drive not only scientific discovery but also decisions and policies.

Center for Socially Responsible Artificial Intelligence

The Penn State Center for Socially Responsible Artificial Intelligence is a multi-unit initiative that promotes the thoughtful development and application of AI and studies its impact on all areas of human endeavor. In addition to supporting research focused explicitly on AI for social good and mitigating threats from its misuse, through this center, Penn State encourages that all AI research and development activities consider social and ethical implications as well as intended and possible unintended consequences. 

Crowd-AI Laboratory

The Crowd-AI Laboratory focuses on combining artificial intelligence with crowdsourcing to create systems that are more usable, robust, and intelligent. Our researchers work on real-time crowdsourcing, conversational agents, technical human-computer interaction, and natural language processing to understand how people can use automated technologies in context and how automated technologies serve people’s practical needs.

Human Language Technologies Laboratory

The Human Language Technologies Laboratory aims to solve problems to enable computers to do meaningful work with large volumes of text. Natural language is crucial to how humans communicate, synthesize, and store information. Our researchers develop methods for natural language processing and apply them to a variety of domains, including privacy, online social networks, web science, and digital libraries.

Intelligent Information Systems Laboratory

The Intelligent Information Systems Research Laboratory aims to explore and support all levels of research that will improve and enhance our ability to generate, manage, search, and mine information and knowledge. Current research covers internet database design and analysis, mobile web computing, web mining and navigation, web agents, novel and intelligent web tools, multimedia retrieval, web and internet models, web usage, automatic content analysis and digital libraries, web search, niche search engines, and information retrieval.

Knowledge Visualization Laboratory

The Knowledge Visualization Laboratory seeks to understand the frontier issues in visual analytics, an area with a goal to augment data-driven decision-making by bridging computational capacities of computing systems and analytical skills of human beings. Our research focuses on the visualization-based tools that have become essential to human-data interaction by exploring the relevant cognitive theories, such as visual cognition, problem-solving theories, and learning theories, that impact human-computer interaction and decision-making.

Penn State Information, Knowledge, and wEb Laboratory

The Penn State Information, Knowledge, and Web Laboratory—also known as PIKE—researches issues involving the management of and mining in data in diverse forms, including structured records, text, multimedia, social media, and web. Current and past projects have focused on developing computational techniques to detect and prevent fake news, creating a fairness-aware recommendation engine between cybersecurity job postings and job seekers' skills, and advancing machine learning methods to model the psychological phenomenon known as memory illusion.