Mohammad Al Hasan
Office Location: AE 106
Office phone: 518-276-2857
Research
I have research interest in the following areas:
Bioinformatics, Data Mining, Machine Learning, Social Network Analysis, Text Mining, Information Retrieval and Graph Algorithms.
Dr. Mohammed Zaki is my research advisor. Here is a copy of my
resume in pdf format.
Software
Data Mining Template Library (DMTL). Download it from Here.
Context Shapes Protein docking .
Journal Papers/Book Chapters
- Optimal Placement of Stereo Sensors,
Mohammad Al Hasan,Krishna K. Ramachandran, and John E. Mitchell in
Optimization Letters, vol 2(1), 2008, pp. 99-111
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Context shapes: Efficient complementary shape matching for protein-protein docking,
Zujun Shentu, Mohammad Al Hasan, Chris Bystroff, and Mohammed J. Zaki in
PROTEINS: Structure, Function, and Bioinformatics, vol 70(3), 2008, pp. 1056-1073
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ORIGAMI: A Novel and Effective Approach for Mining Representative Graph Patterns,
Vineet Chaoji, Mohammad Al Hasan, Saeed Salem, and Mohammed J. Zaki in
Statistical Analysis and Data Mining, vol 1(2), 2008, pp. 67-84
- Summarization in Pattern Mining,
Mohammad Al Hasan in
Encyclopedia of Data Warehousing and Mining, (2nd Ed) ,
Information Science Reference, 2008
- An Integrated, Generic Approach to Pattern Mining: Data Mining Template Library ,
Vineet Chaoji, Mohammad Al Hasan, Saeed Salem, and Mohammed J. Zaki in
Data Mining and Knowledge Dicsovery Journal(accepted)
Conference/Workshop Papers
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ORIGAMI: Mining Representative Orthogonal Graph Patterns,
Mohammad Al Hasan, Vineet Chaoji, Saeed Salem, Jeremy Besson, and Mohammed J. Zaki in
Proceedings of IEEE International Conference on Data Mining, Omaha, NE, 2007, pp 153. (full paper acceptance rate = 7.5%)
- Assessing Patent Value through Advanced Text Analytics,
Mohammad Al Hasan, W. Scott Spangler in
Eleventh International Conference of Artificial Intelligence and Law, 2007. A longer version is also published as IBM Research,
Technical Report no-RJ10402, 2007.
- Link Prediction using Supervised Learning,
Mohammad Al Hasan, Vineet Chaoji, Saeed Salem, Mohammed Zaki
in SIAM Workshop on Link Analysis, Counterterrorism and Security with SIAM Data Mining Conference, Bethesda, MD,2006
- DMTL: A generic Data Mining Template Library,
Mohammad Al Hasan, Vineet Chaoji, Saeed Salem, Nagender Parimi, Mohammed Zaki
in Workshop on Library-Centric Software Design(LCSD05) with Object-Oriented Programming, Systems, Languages and Applications,
San Diego, CA, 2005.
- Towards Generic Pattern Mining,
Mohammed Zaki, Nilanjana De, Nagender Parimi, Nilanjana De, Feng Gao, Benjarath Phoophakdee, Joe Urban,
Vineet Chaoji, Mohammad Al Hasan, Saeed Salem
in International Conference on Formal Concept Analysis (ICFCA'05), France, 2005.
A shorter version of this paper is published as invited paper in
Pattern Recognition and Machine Intelligence (PReMI '05)