- 703-993-3826 (office)
Nguyen Engineering Building, 4423
4400 University Drive, MS 4A5
Fairfax, VA 22030
Huzefa Rangwala is a member of the Bioengineering Initiative at the Volgenau School of Engineering. His research interests include data mining and inter-disciplinary applications in the areas of learning sciences, bioinformatics and bioengineering. He emphasizes the development of novel algorithms, and engineering of effective solutions for bioengineering problems. Rangwala’s research has resulted in the development of useful and efficient software tools that aid biologists to make key discoveries in genome analysis and cyber-physical sciences for prosthetics. In tandem, some of these developments have advanced the field of computer science.
PhD, Computer Science and Bioinformatics, University of Minnesota (2008)
MS, Computer Science and Bioinformatics, University of Minnesota (2008)
BS, Computer Engineering, University of Mumbai (2003)
Faculty Rank: Associate Professor
- CS 484 Data Mining Section 001
2014 - 2018 : BIGDATA: IA: DKA: Collaborative Research: Learning Data Analytics: Providing Actionable Insights to Increase College Student Success. Funded by National Science Foundation.
2013 - 2018 : CAREER: Annotating the Microbiome using Machine Learning Methods. Funded by National Science Foundation.
2014 - 2018 : CPS: Synergy: A Novel Biomechatronic Interface Based on Wearable Dynamic Imaging Sensors. Funded by National Science Foundation.
Bioinformatics, Data Analytics, Data Mining, Personalized Learning, Computer Science Education, Machine Learning, Parallel and Distributed Systems