Purdue University - Department of Computer Science -

Shahin Mohammadi

Graduate Student


Joined department: 2010

Education

Bachelor of Science, University of Tehran, Computer Science (2008)
High School Diploma, Allame Helli Highschool, Mathematics and Physics (2004)

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 focused on designing computational methods for analyzing the aging paradigm in baker's yeast, Saccharomyces cerevisiae.

Selected Publications

<strong>Shahin Mohammadi</strong> , Giogos Kollias, and Ananth Grama, "Role of Synthetic Genetic Interactions in Understanding Functional Interactions Among Pathways", Pacific Symposium on Biocomputing (PSB), 2012
Giorgos Kollias, <strong>Shahin Mohammadi</strong> , and Ananth Grama, "Network Similarity Decomposition (NSD): A Fast and Scalable Approach to Network Alignment", IEEE Transactions on Knowledge and Data Engineering (TKDE), PP (2011), no. 99, 1
<strong>Shahin Mohammadi</strong> and Ananth Grama, "Biological Network Alignment", Functional Coherence of Molecular Networks in Bioinformatics , (Mehmet Koyuturk, Shankar Subramaniam, and Ananth Grama, eds.), Springer, 2011, pp. 97-136

Department of Computer Science, 305 N. University Street, West Lafayette, IN 47907

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