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"The data is yours; I find effective information efficiently."

I have received a Ph.D. in Computer Science from the University of Texas at Arlington under the supervision of Dr. Chengkai Li in Innovative Data Intelligence Research (IDIR) Laboratory. We collaborated with Google Research and Duke University. My thesis is titled "Efficient evaluation of contextual and reverse Pareto-optimality queries". I have publications in major conferences in database, data mining and information retrieval such as VLDB, ICDE, EDBT, and CIKM. In this regard, I designed novel algorithms along with software tools. I have completed my B.Sc. in Computer Science and Engineering from Bangladesh University of Engineering and Technology. 

Currently, as a member of the Query Optimizer team at Teradata Labs, I am conducting research and development of database query optimization.

News
  • May 21, 2018: Joined Teradata Labs.
  • May 12, 2018: Got hooded!
  • April 5, 2018: Defended Ph.D. in Computer Science.
  • March 28, 2018: Presented paper titled "Continuous Monitoring of Pareto Frontiers on Partially Ordered Attributes for Many Users" in EDBT 2018.