Data and Information Systems

data storage in an enclosureThe rapid growth of big data creates unprecedented demand and opportunities for developing powerful intelligent information systems that help people manage and extract knowledge from data.

Our faculty work on a wide range of research problems, tackling the many challenges associated with developing such intelligent systems and their applications. Research includes helping people search and find relevant data and information; mining massive amounts of heterogeneous data sets to discover actionable knowledge; optimizing the entire workflow of data access, analytics, and exploration; and analyzing large social networks and to optimize human-computer collaboration centered on data.

Our faculty work closely with industry, and many of our algorithms are used in a wide range of information system applications, especially in database and data analytics systems, data mining systems, search engines, and web information service systems.

CS Faculty, Affiliate Faculty, and Their Research Interests

Abdussalam Alawini Data Provenance, Scientific Data Management, Data Citation, Workflow Management, Machine Learning
Catherine Blake, School of Information Sciences Text Mining, Information Synthesis, Collaborative Information Behaviors, Recognizing Textual Entailment, Summarization, Evidence-Based Discovery, Meta-Analysis, Socio-Technical Systems
Robert Brunner, Astronomy Cosmological Data Mining
Kevin C. Chang Data Mining, Database Systems, Information Retrieval, Web Search/Mining, Social Media Analytics
Roxana Girju, Linguistics Natural Language Processing/Computational Linguistics, especially Semantics and Pragmatics (language use) with application to Conversational AI, Dialogue Systems, Behavior Analytics, Affective Computing
Jiawei Han Data Mining, Text Mining, Information Networks, Database Systems, Data Analytics, Data Science Applications
Jingrui He, School of Information Science Data Mining, Heterogeneous Learning, Rare Category Analysis, Healthcare
Heng Ji Natural Language Processing, especially on Information Extraction and Knowledge Base Population, as well as its connections with Computer Vision and Natural Language Generation
Daniel S. Katz, National Center for Supercomputing Applications Resilience and Fault-Tolerance, Many-Task Computing, Parallel and Distributed Computing, Sustainable and Open Science Software
Bertram Ludascher, School of Information Sciences Data and Knowledge Management, Scientific Workflow Systems, Data Curation  
Yongjoo Park Database Systems, Big Data Analytics, Approximate Computing, Machine Learning for Systems
Bruce Schatz, Medical Information Science Medical Informatics, Mobile Health
Victoria Stodden, School of Information Sciences Reproducibility in Computational Science, Data Science, Policy Issues Surrounding Open Data/Code Sharing  
Jimeng Sun Deep Learning for Drug Discovery, Clinical Trial Optimization, Computational Phenotyping, Clinical Predictive Modeling, Mobile Health and Health Monitoring, Tensor Factorization, and Graph Mining
Hari Sundaram Network Analysis, Behavioral Modeling, Applications of Game Theory
Hanghang Tong Data Mining, Network and Graph Mining
Shaowen Wang, Geography and Geographic Information Science Computational and Geographic Information Science; CyberGIS; Multi-Scale Geospatial Problem Solving
Ouri Wolfson, Department of Computer Science, University of Illinois Chicago Spatial Databases, Computational Transportation, Location-Based Services, Mobile Data Management, Connectomics
ChengXiang Zhai Intelligent Information Systems, Information Retrieval, Data Mining, Big Data Applications

Adjunct Faculty

Aditya Parameswaran, University of California, Berkeley Data Management, Data Mining, Database Theory, Interactive Systems, Crowdsourced Computation 
Dan Roth, University of Pennsylvania Knowledge Representation, Natural Language Processing, Machine Learning 

Data and Information Systems Research Efforts and Groups

Seminars

  • The DAIS Seminar features research talks by invited speakers, DAIS faculty, and graduate students. Speakers are announced on the DAIS mailing list (as are other items of interest to the DAIS community). It is quick and easy to subscribe to the DAIS mailing list.
  • Illinois Computer Science Speaker Series

Data and Information Systems Research News

Two new faculty add expertise in artificial intelligence for healthcare as well as in creating bridge programs to make advanced CS degrees more accessible.

Sun, Williams Join Illinois Computer Science Faculty

February 14, 2020   Two new faculty add expertise in artificial intelligence for healthcare as well as in creating bridge programs to make advanced CS degrees more accessible.
Using AI to predict future events still seems like science fiction. But Professor Heng Ji is working to create a system that does just that.

Ji Receives $12.3M DARPA Grant to Develop Second-Generation Event Understanding System

January 21, 2020   Using AI to predict future events still seems like science fiction. But Professor Heng Ji is working to create a system that does just that.
$1M in funding will support Prof. Hanghang Tong's efforts to develop a computational foundation for fair network learning.

Tong Wins NSF-Amazon Award to Improve AI Fairness

January 14, 2020   $1M in funding will support a team led by Prof. Hanghang Tong to develop a computational foundation for fair network learning.
Professor Hanghang Tong was recognized for his "contributions to large-scale graph mining."

Tong’s Early Career Achievements Recognized With IEEE ICDM Tao Li Award

December 18, 2019   Prof. Hanghang Tong was honored for his "contributions to large-scale graph mining."
Profs. Tarek Abdelzaher and Timothy M. Chan have been named ACM Fellows, Profs. Karrie Karahalios and Hari Sundaram have been named ACM Distinguished Members.

Abdelzaher, Chan, Karahalios, and Sundaram Honored by ACM

December 18, 2019   Profs. Tarek Abdelzaher and Timothy M. Chan have been named ACM Fellows, Profs. Karrie Karahalios and Hari Sundaram have been named ACM Distinguished Members.