Shahin received his BSc in Computer Science in 2008. Prior to joining Purdue in 2010, he actively participated in Robocup competitions, worked on designing and implementing parallel algorithms in both shared and distributed memory environments, and studied different problems in Computational Biology. As a PhD student, he now works under supervision of Professor Grama and Professor Szpankowski, mainly focusing on applications of statistical and computational methods for designing robust and efficient techniques for analyzing biological networks. Previously, he has worked on problems spanning areas of network alignment, motif detection and clustering. His current research is on the application of synthetic genetic interactions in uncovering system level organization of functional pathways in baker's yeast, Saccharomyces cerevisiae.
Shahin Mohammadi, Giogos Kollias and Ananth Grama, \"Role of Synthetic Genetic Interactions in Understanding Functional Interactions Among Pathways\"?, to appear, Pacific Symposium on Biocomputing (PSB) 2012
Shahin Mohammadi and Ananth Grama, \"Biological Network Alignment\"?, a chapter in \"Functional Coherence of Molecular Networks\"?, edited by Mehmet Koyuturk, ISBN 978-1-4614-0319-7, to appear, 2011
Giogos Kollias, Shahin Mohammadi and Ananth Grama, \"Network Similarity Decomposition (NSD): A Fast and Scalable Approach to Network Alignment\", to appear, TKDE-2011