Journal Papers/Book Chapters

• Quantification of Spatial Parameters in 3D Cellular Constructs Using Graph Theory, Amanda Waite Lund, Cagatay C. Bilgin, Mohammad Al Hasan, Lindsey M. McKeen, Jan P. Stegemann, Bulent Yener, Mohammed Zaki, George E. Plopper. in Journal of Biomedicine and Biotechnology (accepted)


• Robust Partitional Clustering by Outlier and Density Insensitive Seeding, Mohammad Al Hasan, Vineet Chaoji, Saeed Salem, and Mohammed Zaki in Pattern Recognition Letters (accepted)


• SPARCL: An Effective and Efficient Algorithm for Mining Arbitrary Shape-based Clusters, Vineet Chaoji, Mohammad Al Hasan, Saeed Salem, and Mohammed Zaki in Knowledge and Information Systems Journal (accepted)


• 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


• 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


• 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, 17(3), 2008, pp. 457-495

Conference/Workshop Papers

• Output Space Sampling for Graph Patterns, Mohammad Al Hasan, and Mohammed J. Zaki in VLDB 2009, Lyon, France


• COA: Finding Novel Patents through Text Analysis, Mohammad Al Hasan,W. Scott Spangler, Thomas Griffin, and Alfredo Alba in SIGKDD 2009, Paris, France


• MUSK: Uniform Sampling of k Maximal Patterns, Mohammad Al Hasan and Mohammed J. Zaki in Proceedings of SIAM International Conference on Data Mining, Sparks, NV, 2009


• Clustering with Lower Bound on Similarity, Mohammad Al Hasan, Saeed Salem, Benjarath Pupakdi and Mohammed J. Zaki in Proceedings of Pacific-Asia Conference on Knowledge Discovery and Data Mining, Thailand, 2009 (Best Paper Award)


• SPARCL: Efficient and Effective Shape-based Clustering, Vineet Chaoji, Mohammad Al Hasan, Saeed Salem, and Mohammed J. Zaki in Proceedings of IEEE International Conference on Data Mining, Pisa, Italy, 2008 (full paper acceptance rate = 9.67%)


• 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)