Mohammad Al Hasan - Computer & Information Science @ IUPUI
Mohammad Al Hasan - Computer & Information Science @ IUPUI
Mohammad Al Hasan - Computer & Information Science @ IUPUI
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<strong>Mohammad</strong> <strong>Al</strong> <strong>Hasan</strong><br />
Department of <strong>Computer</strong> <strong>Science</strong>, <strong>IUPUI</strong> Phone: 317 274-3862<br />
723 W. Michigan St., SL 277 alhasan@cs.iupui.edu<br />
Indianapolis, IN 46226 http://www.cs.iupui.edu/~alhasan<br />
Education<br />
Ph.D., <strong>Computer</strong> <strong>Science</strong> 2009 Rensselaer Polytechnic Institute, Troy, NY<br />
MS, <strong>Computer</strong> <strong>Science</strong> 2002 University of Minnesota, Minneapolis, MN<br />
BSc (Engg.), <strong>Computer</strong> <strong>Science</strong> & Engg 1998 Bangladesh University of Engg. & Tech. (BUET), Dhaka<br />
Professional Experience<br />
08/2010–Present Asst. Professor of <strong>Computer</strong> <strong>Science</strong> (Tenure-Track) at Indiana Univ.–Purdue Univ., Indianapolis, IN<br />
07/2009–08/2010 Senior Research Scientist at eBay Inc, San Jose, CA<br />
05/2007–08/2007 Research Intern at IBM <strong>Al</strong>maden Research Center, San Jose, CA<br />
05/2006–08/2006 Research Intern at IBM <strong>Al</strong>maden Research Center, San Jose, CA<br />
08/2004–06/2009 Research Assistant, Rensselaer Polytechnic Institute, Troy, NY<br />
01/2003–07/2004 Lecturer at <strong>Computer</strong> <strong>Science</strong> Department, North South University, Dhaka, Bangladesh<br />
09/1999–12/2002 Graduate Research/Teaching Assistant, University of Minnesota, Minneapolis, MN<br />
Honors<br />
• ACM SIGKDD Doctoral Dissertation Award, 2010<br />
• Best Paper award, PAKDD Conference, 2009<br />
• IBM <strong>Al</strong>maden Research, CS Director’s award, 2006<br />
Relevant Publications<br />
• M. A. <strong>Hasan</strong>, S. Salem, M. Zaki: SimClus: An effective <strong>Al</strong>gorithm for Clustering with a Lower Bound on<br />
Similarity, in the Journal of Knowledge and <strong>Information</strong> Systems (KAIS) (accepted)<br />
• M. A. <strong>Hasan</strong>, M. Zaki: Output Space Sampling for Graph Patterns, Proc. of Very Large Data Bases (VLDB)<br />
2009 Lyon, France, 2(1), 730-741<br />
• M. A. <strong>Hasan</strong>, M. Zaki, MUSK: Uniform Sampling of k Maximal Patterns, SIAM Data Mining (SDM),<br />
Sparks, NV, 2009<br />
• M. A. <strong>Hasan</strong>, S. Salem, B. Pupacdi, M. Zaki, Clustering with lower bound on Similarity, Pacific-Asia<br />
Knowledge and Data Discovery (PAKDD), 2009 (Best Paper Award)<br />
• V. Chaoji, M. A. <strong>Hasan</strong>, S. Salem, J. Besson, M. Zaki, ORIGAMI: A Novel and Efficient Approach for<br />
Mining Representative Orthogonal Graph Patterns, in Journal of Statistical Analysis and Data Mining, 1(2),<br />
2008, pp. 67-84
Five Other Significant Publications<br />
• M. A. <strong>Hasan</strong>, H. Yildirim, A. Chakrabarty: SONNET: Efficient Approximate Nearest Neighbor using<br />
Multi-Core, IEEE Internation Conference on Data Mining (ICDM), 2010, Sydney, Australia<br />
• M. A. <strong>Hasan</strong>, W. S. Spangler, T. Griffin, A. <strong>Al</strong>ba, COA: Finding Novel Patents through Text Analysis,<br />
ACM International Conference of Knowledge Discovery and Data Mining (SIGKDD), 2009<br />
• V. Chaoji, M. A. <strong>Hasan</strong>, S. Salem, M. Zaki, SPARCL — Efficient and Effective ShaPe-baseD Clustering,<br />
IEEE International Conference on Data Mining (ICDM), 2008, Pisa, Italy<br />
• M. A. <strong>Hasan</strong>, V. Chaoji, S. Salem, J. Besson, M. Zaki, ORIGAMI: Mining Representative Orthogonal<br />
Graph Patterns, IEEE International Conference on Data Mining (ICDM), 2007, Omaha, NE<br />
• Z. Shentu, M. A. <strong>Hasan</strong>, M. Zaki, Context Shapes: Efficient Complementary Shape Matching for<br />
Protein-Protein Docking, Proteins: Structure, Function, Bioinformatics, 70(3), 2008, pp. 1056-1073<br />
Patents and Open Source Softwares<br />
• US patent pending Method for Analyzing Patent Claims. Applied by IBM Corporation, IBM Ref. No:<br />
ARC920070033US1<br />
• Data Mining Template Library (DMTL), available from http://dmtl.sourceforge.net<br />
• Context Shape Protein Docking, available from http://www.cs.rpi.edu/~zaki/software/ContextShapes/<br />
Synergistic Activities<br />
• 2010 Program Committee, Pacific-Asia Conference on Knowledge Discover & Data Mining (PAKDD)<br />
• 2009 Program Committee, Intl. Conference on Knowledge Discovery & Data Mining (SIGKDD)<br />
• 2009 Program Committee, 2nd Intl. Workshop on Data Mining and Artificial Intelligence (DMAI)<br />
• 2009 Reviewer, {Knowledge and <strong>Information</strong> Systems (KAIS), VLDB Journal, IEEE Transactions on Knowledge<br />
and Data Engg. (TKDE), Data Mining and Knowledge Discovery (DMKD), Journal of Machine Learning Research}<br />
Collaborators and Other Affiliations<br />
• Collarobators: Hilmi Yildirim (Rensselaer Polytechnic Institute, NY), Vineet Chaoji (Yahoo Research Labs,<br />
Bangalore), Saeed Salem (North Dakota State University, ND), Neel Sundaresan (eBay Research Labs, CA), W. Scott<br />
Spangler (IBM <strong>Al</strong>maden Research Center, CA), Latifur Khan (University of Texas at Dallas, TX), Jake Chen<br />
(<strong>IUPUI</strong>, Indianapolis), Snehasis Mukhopadhyay (<strong>IUPUI</strong>, Indianapolis)<br />
• Advisor: Mohammed J. Zaki (Rensselaer Polytechnic Institute, NY)<br />
• Professional Membership: ACM, SIAM
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