Md Mahmudul Hasan's picture
Md Mahmudul Hasan

I am a Ph.D. student, working with Dr. Tamer Kahveci at Department of Computer & Information Science & Engineering at the University of Florida.

Office: Lab 403 CSE (Campus-Map)
Lab: Bioinformatics Lab
Email: mmhasan 'At' cise 'DoT' ufl 'dOt' edu,
Research Interest(s): Bioinformatics - Biologica Network Analysis, Biological Network Alignment, Indexing Biological Network Database, Frequent sub-networks mining.

Publication(s)

SiS: Significant subnetworks in massive number of network topologies   ( PDF )   ( PPTX )
Md Mahmudul hasan, Yusuf Kavurucu, Tamer Kahveci
(IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2012)
We employed a new notion of "most probable sub-network" to denote the "most frequent sub-network" in a database of biological networks. In the score of problem, we found that most probable sub-networks are most frequent as well. Our proposed method, SiS (Significant Subnetworks) can be augmented to find "maximal frequent sub-network" in the databse. SiS outperforms existing method in orders of magnitude.
Indexing for similarity queries on biological networks
Gunhan Gulsoy, Md Mahmudul Hasan, Yusuf Kavurucu, Tamer Kahveci
(Biological Data Mining and its Applications in Healthcare ( to appear ))
We need efficient methods for accessing and querying biological network databases. As the networks are generally represented as graphs in theory, several graph indexing methods have been developed for answering queries on them. We group these methods in three categories, namely feature, tree and reference based indexing. In this book chapter, we describe these network indexing categories on large biological network databases using example algorithms.
Previously, I worked in Gene Regulatory Networks (GRN) reconstruction problem. In my undergraduate studies, I worked in reversible logic synthesis.
I maintain this Google scholar page: Md Mahmudul Hasan

Education

Work Experience