Naeemul Hassan

Assistant Professor
The University of Mississippi
216 Weir Hall
P.O. Box 1848
University, MS 38677-1848 USA
(662) 915-5357
nhassan@olemiss.edu

Dr. Hassan joined the faculty in 2016. He received a Ph.D. in Computer Science from the University of Texas at Arlington. Before that, he served as a lecturer in Daffodil International University after completing B.Sc. from Bangladesh University of Engineering and Technology (BUET).

Professional Research

Dr. Hassan's research areas are Big Data and Data Science, including Database and Data Mining. He has published in prestigious venues such as VLDB, CIKM, ICDE and IEEE Transactions on Knowledge and Data Engineering (TKDE). His works have won several awards including Excellent Demonstration Award (VLDB 2014), President’s Award (ACES 2016, Graduate Poster) and Dissertation Fellowship. Dr. Hassan's publications and research can be found here.

Selected Publications

  • SM Rifat Ahsan, Mohammad Saiful Islam, Naeemul Hassan and Ashikur Rahman. Packet Distribution Based Tuning of RTS Threshold in IEEE 802.11. IEEE Symposium on Computers and Communications (ISCC), pages 1-6, Riccione, Italy, June 2010. DOI 10.1109/ISCC.2010.5546703. [Paper]
  • SM Rifat Ahsan, Mohammad Saiful Islam, Naeemul Hassan and Ashikur Rahman. Exploiting Packet Distribution for Tuning RTS Threshold in IEEE 802.11. IEEE 25th Biennial Symposium on Communications (QBSC), pages 369-372, Kingston, Ontario, Canada, May 2010. DOI 10.1109/BSC.2010.5472955. [Paper]
  • Zamshed Iqbal Chowdhury, Masudul Haider Imtiaz, Muhammad Moinul Azam, Mst Sumi, Rumana Aktar, Md Rahman, Farzana Alam, Ishtiak Hussain and Naeemul Hassan. Design and Deployment of a Robust Remote River Level Sensor Network. IEEE Sensors Applications Symposium (SAS), pages 244-249, San Antonio, Texas, February 2011. DOI 10.1109/SAS.2011.5739776. [Paper]
  • Chengkai Li, Nan Zhang, Naeemul Hassan, Sundaresan Rajasekaran, and Gautam Das. On Skyline Groups. In Proceedings of the 21st ACM International Conference on Information and Knowledge Management (CIKM), pages 2119-2123, Maui, Hawaii, November 2012. DOI 10.1145/2396761.2398585. [Paper] [Presentation]
  • Afroza Sultana, Naeemul Hassan, Chengkai Li, Jun Yang, and Cong Yu. Incremental Discovery of Prominent Situational Facts. In Proceedings of the 30th International Conference on Data Engineering (ICDE), pages 112-123, Chicago, Illinois, April 2014. DOI 10.1109/ICDE.2014.6816644. [Paper] [Presentation]
  • Nan Zhang, Chengkai Li, Naeemul Hassan, Sundaresan Rajasekaran, and Gautam Das. On Skyline Groups. IEEE Transactions on Knowledge and Data Engineering (TKDE), 26(4):942-956, April 2014. DOI 10.1109/TKDE.2013.119. [Paper]
  • Brett Walenz, You (Will) Wu, Seokhyun (Alex) Song, Emre Sonmez, Eric Wu, Kevin Wu, Pankaj K. Agarwal, Jun Yang, Naeemul Hassan, Afroza Sultana, Gensheng Zhang, Chengkai Li, and Cong Yu. Finding, Monitoring, and Checking Claims Computationally Based on Structured Data. In Proceedings of the 2014 Computation+Journalism Symposium, 5 pages, New York City, USA, October 2014. [Paper] [Presentation]
  • Naeemul Hassan, Afroza Sultana, You Wu, Gensheng Zhang, Chengkai Li, Jun Yang, and Cong Yu. Data In, Fact Out: Automated Monitoring of Facts by FactWatcher. In Proceedings of the VLDB Endowment (PVLDB), pages 1557-1560, Hangzhou, China, September 2014. DOI 10.14778/2733004.2733029. Excellent demonstration award. [Paper] [Poster] [Demo]
  • Naeemul Hassan, Huadong Feng, Ramesh Venkataraman, Gautam Das, Chengkai Li, and Nan Zhang. Anything You Can Do, I Can Do Better: Finding Expert Teams by CrewScout. In Proceedings of the 23rd ACM International Conference on Information and Knowledge Management (CIKM), pages 2030-2032, Shanghai, China, November 2014. DOI 10.1145/2661829.2661839. [Paper] [Poster] [Demo]
  • Naeemul Hassan, Bill Adair, James Hamilton, Chengkai Li, Mark Tremayne, Jun Yang and Cong Yu. The Quest to Automate Fact-Checking. In Proceedings of the 2015 Computation+Journalism Symposium, 5 pages, New York City, USA, October 2015. [Paper]
  • Abolfazl Asudeh, Gensheng Zhang, Naeemul Hassan, Chengkai Li, and Gergely Zaruba. Crowdsourcing Pareto-Optimal Object Finding by Pairwise Comparisons. In Proceedings of the 24th ACM International Conference on Information and Knowledge Management (CIKM), pages 753-762, Melbourne, Australia, October 2015. DOI 10.1145/2806416.2806451. [Paper]
  • Naeemul Hassan, Chengkai Li, and Mark Tremayne. Detecting Check-worthy Factual Claims in Presidential Debates. In Proceedings of the 24th ACM International Conference on Information and Knowledge Management (CIKM), pages 1835-1838, Melbourne, Australia, October 2015. DOI 10.1145/2806416.2806652. [Paper] [Poster]
  • Naeemul Hassan, Mark Tremayne, Fatma Arslan and Chengkai Li. Comparing Automated Factual Claim Detection Against Judgments of Journalism Organizations. In Proceedings of the 2016 Computation+Journalism Symposium, 5 pages, San Francisco, CA, USA, September 2016. [Paper] [Presentation]
  • Naeemul Hassan, Gensheng Zhang, Fatma Arslan, Josue Caraballo, Damian Jimenez, Siddhant Gawsane, Shohedul Hasan, Minumol Joseph, Aaditya Kulkarni, Anil Kumar Nayak, Vikas Sable, Chengkai Li, Mark Tremayne. ClaimBuster: The First-ever End-to-end Fact-checking System. In Proceedings of the 43rd International Conference on Very Large Databases (VLDB 2017), 4 pages, Munich, Germany, August 2017. [Paper]
  • Naeemul Hassan, Fatma Arslan, Chengkai Li, and Mark Tremayne. Toward Automated Fact-Checking: Detecting Check-worthy Factual Claims by ClaimBuster. In Proceedings of the 23rd SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2017), 10 pages, Halifax, Nova Scotia, Canada, August 2017. [Paper]