Dr. Chengkai Li is Professor, Associate Chair of the Department of Computer Science and Engineering, and Director of the Innovative Data Intelligence Research Laboratory (IDIR) at the University of Texas at Arlington. Dr. Li's research interests span several areas related to big data intelligence and data science, including data management, data mining, natural language processing, applied machine learning, and their applications in computational journalism. His current research focuses on building large-scale human-assisting and human-assisted data and information systems with high usability, high efficiency and applications for social good. Particularly, his ongoing research projects include data-driven fact-checking, exceptional fact finding, fake-news detection, usability challenges in querying and exploring graph data, and knowledge databases. He has also worked on data exploration by ranking (top-k), skyline and preference queries, crowdsourcing, entity queries, database testing, database engine for top-k queries, and Web and XML data management.
To Aspiring Students
Teaching [complete list]
- I am always looking for sharp, highly motivated and hard-working PhD / Master's / Bachelor's students.
- NSF REU award available to undergraduate students doing research. Interested students can email me for further details.
Students [complete list]
- Office Hours in Fall 19: please email me for an appointment
Demos, Slides, Videos, and Source Codes
- Ph.D. students:
Damian Jimenez (First Runner-Up Award in the SIGMOD17 Student Research Competition, undergraduate category)
Nasim Shirvani Mahdavi
- M.S. students:
- B.S. students:
Nuh Yusuf Ertuna
- Graduated Ph.D. students:
(Ph.D. dissertation: Efficient Evaluation of Contextual and Reverse Pareto-Optimality Queries, May 2018;
first-employment after graduation: Software Engineer, Teradata Lab, Los Angeles, CA)
(Ph.D. dissertation: Frameworks, Algorithms, and Systems for Efficient Discovery of Data-backed Facts, December 2017;
interned at NEC Labs and Google;
first-employment after graduation: Software Engineer, Google, Mountain View, CA)
(Ph.D. dissertation: Toward Automated Fact Monitoring And Checking, August 2016;
interned at AT&T and Qatar Computing Research Institute (QCRI);
first-employment after graduation: Assistant Professor, University of Mississippi, Oxford, MS)
(Ph.D. dissertation: Toward Better Usability of Query Systems for Massive Ultra-Heterogeneous Graphs: Novel Approaches of Query Formulation and Query Specification, May 2016;
co-advisor: Ramez Elmasri;
interned at IBM Research India and HP Labs;
first-employment after graduation: Member of Technical Staff, Pivotal, Palo Alto, CA)
(Ph.D. dissertation: Novel Methods for Entity-centric Information Exploration, December 2013;
first-employment after graduation: Research Scientist, Huawei R&D Center, Santa Clara, CA)
(Ph.D. dissertation: A Holistic, Similarity-based Approach for Personalized Ranking in Web Databases, August 2011;
co-advised with Sharma Chakravarthy;
first-employment after graduation: Researcher, IBM Research India)
- Graduated M.S. Thesis students: name (graduation semester, first-employment after graduation)
Sarthak Majithia (May 2019, Paycom), Sarbajit Roy (May 2019, Data245/WL), Ankit Shingavi (Aug. 2018, Amazon A9), Tulsi Chandwani (Dec. 2017, Red Hat), Abu Ayub Ansari Syed (Aug. 2017, CirrusLabs), Ishwor Timilsina (May 2017, Fidelity), Nigesh Shakya (May 2017), Rohit Bhoopalam (May 2016, Akamai), Fatma Dogan (Dec. 2015, UTA Ph.D. program), Minumol Joseph (Dec. 2015, Capital One), Ramesh Venkataraman (Aug. 2014, Amazon), Mahesh Gupta (Dec. 2012, EA), Jijo Philip (Dec. 2012, Cerner), Avinash Bharadwaj (Dec. 2011, Copper Labs), Quazi (Sunny) Hasan (Dec. 2010, Dematic), Jared Ashman (Dec. 2010, Ambit Energy), Assad Safiullah (Aug. 2008, Microsoft)
Media Coverage [complete list]
Projects [complete list]
- By Associated Press, The Washington Post, The Guardian, The Dallas Morning News, KERA, NBC DFW, Austin American-Statesman, Popular Science, Poynter, Wired, and many more
Publications [complete list]
Funding Activities [complete list]
Professional Services [complete list]
DEMANDATA: Computational Journalism Research
- Research Agenda
[ClaimBuster goals] [C+J17] [C+J15]
[CIDR11] (3rd place in best Outrageous Ideas and Vision (OIV) Track paper competition)
- Misinformation, Computational Fact-Checking and Credible Web
- Exceptional Fact Finding
- Graph4U: Tackling Usability Challenges in Querying and Exploring Entity Graphs
Invited Talks, Meetings, and Panel Appearances [complete list]
- Conference/Workshop Organizing Committee:
MisinfoWorkshop 19 Workshop Chair,
CIKM 18 Sponsorship Co-Chair,
SIGMOD 17 Finance Chair,
WAIM 16 Publicity Co-Chair,
IPCCC (General Co-Chair 12, Program Co-Chair 10)
- Guest Editor: ACM Journal of Data and Information Quality (JDIQ) special issue on Combating Digital Misinformation and Disinformation
- Editorial Board: Distributed and Parallel Databases
- Program Committee:
SIGMOD 20 19 18 16 15,
VLDB 20 19 17 15 14 13,
KDD 19 18 17 16 15,
WWW 16 15 14 13 11,
ICDE 20 19 18 (demo) 17 14 13 11 (demo),
EDBT 20 14,
CIKM 18 17 16 15 14 13 12 10,
ICDM 18 16 13 12 11 10 08,
ISWC 18 17 16 15 14,
- Journal Reviewer:
ACM SIGMOD Record,
- NSF Grant Review Panels (2019, 2016, 2015, 2014, 2010)
- "Restoring Trust by Computing: Data-driven Fact-checking and Exceptional Fact Finding"
- Misinformation Roundtable, Computing Community Consortium, Washington, DC, March 26, 2019.
- Credibility on the Web Workshop, Google, New York City, New York, October 9, 2018.
- Research Faculty Summit, Microsoft, Redmond, Washington, August 1, 2018.
- Panelist, "How Bots Are Automating Fact-Checking", South by Southwest (SXSW), Austin, TX, March 13th, 2017.
- "Tackling Usability Challenges in Querying Massive, Ultra-heterogeneous Graphs"
- "Enabling Computational Journalism: Automated Fact-Checking and Story-Finding"
- ACM SIGMOD 2017 Most Reproducible Paper Award
- UT-Arlington Faculty Development Leave ("sabbatical"), Fall 2015
- VLDB 2014 Excellent Demonstration Award
- 2012 HP Labs Innovation Research Award
- 2011 HP Labs Innovation Research Award
- 3rd place in best Outrageous Ideas and Vision (OIV) Track paper competition in the 5th Biennial Conference on Innovative Data Systems Research (CIDR 2011)
- 2005 Excellent TA Award, Department of Computer Science, UIUC