Innovative Database and Information Systems Research Laboratory

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IDIR logo
Director Chengkai Li
Research Areas Big Data Management and Mining
Research Projects CrowdConsensus: crowdsourcing and human computation
DEMANDATA: computational journalism
EntityEngine: entity-centric querying and exploration of web data
Graph4U: graph data usability
CrewScout: expert team finding
Current Students Ph.D.: Sona Hasani, Naeemul Hassan, Nandish Jayaram, Afroza Sultana, Gensheng Zhang
B.S.: Sidharth Goyal, Long Ly
Address Room 514
Engineering Research Building (ERB)
Department of Computer Science and Engineering
The University of Texas at Arlington
500 UTA Boulevard
Arlington, TX 76019-0015

The IDIR Lab in the CSE Department of UT Arlington conducts research in big data management and mining, with current focus on building large-scale human-assisting and human-assisted data and information systems with high usability, low cost and applications for social good. In particular, we work on computational journalism, crowdsourcing and human computation, database exploration by ranking (top-k), skyline and preference queries, database testing, entity query, usability challenges in querying graph data, and Web data management.

  • [September 12, 2014] The Innovative Database and Information Systems Research (IDIR) Lab invites all faculty and students to its open house. The activity will take place in ERB514 on Friday (Sept. 12th) 12pm-3pm. Read more...
  • [September 3, 2014] Congratulations to our team for winning an Excellent Demonstration Award in the 40th International Conference on Very Large Data Bases (VLDB). Read more...
  • [August 18, 2014] Congratulations to Naeemul Hassan, Huadong Feng and Ramesh Venkataraman on the acceptance of CKIM14 demo paper "Anything You Can Do, I Can Do Better: Finding Expert Teams by CrewScout". Read more...
  • [August 5, 2014] We are grateful to the National Science Foundation (NSF) for funding our project on perturbation analysis of database queries, which is studied in the broader context of our computational journalism project. Read more...

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