Arif Khan’s research interest includes graph algorithm, high performance computing, approximation algorithm along with their applications in bioinformatics, social network and machine learning. His goal is to explore how approximation algorithms can solve big graph problems using leadership class supercomputers.
PhD in Computer Science, 2017
Purdue University
MSc in Computer Science, 2011
University of Florida
BSc in Computer Science and Engg, 2006
Bangladesh University of Engg & Tech (BUET)