B.S., Computer Science and Engineering, Islamic University of Technology, Bangladesh, 2015
Ph.D., Computer Science, Oklahoma State University, 2023
Graph mining, bioinformatics/computational biomedicine
Farhan Tanvir is a lecturer in the Department of Computer Science at Georgia State University. His research focuses on graph mining with applications to bioinformatics/computational biomedicine. He spearheaded several scientific projects related to bioinformatics and computational biology and has published in KDD, ACM BCB, ICDE, CIKM, and Frontiers in Big Data. As a reward for his research and leadership skills, he received the Outstanding Graduate Researcher and Outstanding Student Leadership awards in 2021 from the Department of Computer Science at Oklahoma State University. He has served as a reviewer for renowned conferences and journals, including KDD, NeurIPS, PAKDD, IEEE Transactions on Neural Networks and Learning Systems, and ICMLA.
Tanvir’s research involves using graph-based techniques/methods to solve critical problems in biology and medicine. Understanding the intricate relationships between biological entities, including drugs, proteins, pathways, substructures, ATC codes and diseases, is crucial for various biomedical applications such as drug-drug interaction (DDI) prediction, drug development and repurposing, and patient treatment recommendation. He designs heterogeneous networks to model these intricate relations. Recent research by Tanvir and colleagues has contributed significantly to the field by proposing the use of heterogeneous graph attention networks for DDI prediction and introducing meta-path-based similarities for predicting drug-drug interactions.