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  • Mohak Shah School of Information Technology and Engineering Ph: (613) 858 7483 University of Ottawa Fax: (613) 562 5664 Ottawa, Canada email: mshah@site.uottawa.ca http://www.site.uottawa.ca/~mshah Research Interests Machine Learning: Computational Learning Theory, Sample Compression Algorithms, PAC- Bayesian Bounds; Machine Learning Applications Natural Language Processing: Learning from Electronic Negotiations, Sentiment Analysis. Bioinformatics: Classification of DNA Microarray data Education Ph.D. Computer Science May, 2006 University of Ottawa, Ottawa, Canada (CGPA: 9.9/10) Master of Computer Science August 2002 University of Ottawa, Ottawa, Canada (Transferred to PhD) Bachelor of Engineering (with Excellence) June 2001 Devi Ahilya University, India. Honors and Awards Ontario Graduate Scholarship (International), Canada, 2004-’05, 2005-’06 University of Ottawa Excellence Scholarship, University of Ottawa 2004-‘05 Doctoral Research Award, University of Ottawa, 2004-‘05 Arnold Smith Commonwealth Scholar, Royal Commonwealth Society 2001-’02 University of Ottawa International Scholarship, University of Ottawa 2001-‘04 University of Ottawa Graduate Admission Scholarship (MCS and PhD), University of Ottawa 2001-‘04 National Scholarship, Department of Human Resources, Govt. of India, 1995 Bank of Baroda Scholarship, 1997, 1999 Ranked in the State Merit List, state of MP, India, High School Certificate Examination, 1995 (top 20 students in the state from among about 700,000 students). Travel Awards: NIPS Travel Award, 2004; University of Ottawa Travel Grant 2004. Professional Activities
  • Organization Membership: ACM, IEEE, Computer Society Reviewer: Pattern Recognition Journal IEEE- Transactions on Systems, Man and Cybernetics Research Experience 1. Research Assistant Winter 2006 Research in Sentiment Analysis under the supervision of Nathalie Japkowicz: Investigate the trends in customers’ opinions focusing on the services industry 2. Research Assistant Fall 2001-Fall 2005 Research in Machine Learning under the supervision of Mario Marchand: Investigating the Margin-Sparsity trade-off in the Sample Compression settings, Deriving Generalization Risk bounds and utilizing them for model selection, Extension of the SCM framework for feature selection. 3. Research Assistant Winter 2005 Research in Natural Language Processing under the supervision of Stan Szpakowicz: Studying the behavior of Electronic Negotiations, identifying outcome indicative traits based on the textual data, Process-Specific Feature Selection to extract language indicators for successful characterization and prediction of negotiation outcomes. 4. Research Assistant Winter 2004 Research in Bioinformatics under the supervision of Marcel Turcotte: Application of Machine Learning in classification of DNA Microarray data. In particular, utilizing the hypothesis of learning conjunction/disjunction of features to perform feature selection in this high dimensional space.  Other Collaborations: Member of the Negotiation, Behavior and Language Project. See the NeBeL page at http://nebel.site.uottawa.ca Member of the Bioinformatics Lab, University of Ottawa. See the Bioinformatics page at http://bio.site.uottawa.ca. Teaching Experience Algorithms in Bioinformatics Fall 2003 Teaching Assistant for the course “CSI 7162 -Algorithms in Bioinformatics”, an advanced graduate course, taught by Marcel Turcotte, University of Ottawa. Principles of Assembly Language Programming Winter 2002, 2003, 2004 Teaching Assistant for the course “CSI 2121-Principles of Assembly Language Programming”, taught by Mario Marchand (2002), Jelber Sayyad (2003) and Misbah Islam (2004) at the University of Ottawa Introduction to Computer Science Fall 2004 Teaching Assistant for the course “CSI 1100-Introduction to Computer Science” taught by Alan Williams Mohak Shah -2- Curriculum Vitae
  • Computing Concepts in Business Fall 2001, 2002, 2003 Teaching Assistant for the course “CSI 1301-Computing Concepts in Business” taught by Don Farmer, School of Management, University of Ottawa. Publications  Theses 1. PhD Thesis: Sample Compression, Margins and Generalization: Extensions to the Set Covering Machine. University of Ottawa, 2006. 2. Master’s Thesis: Extensions to the Set Covering Machine (Transferred to PhD) University of Ottawa, 2002 3. Undergraduate Thesis: Dexearch, A small scale search engine utilizing the meta-data and hyperlink details Devi Ahilya University, India, 2001.  Refereed Journal Publications and Book Chapter(s) 4. M. Shah, M. Sokolova and S. Szpakowicz. Process-Specific Information for Learning E-negotiation Outcomes, to appear in Fundamenta Informaticae, Accepted June 2006. 5. M. Sokolova, M. Shah and S. Szpakowicz. Comparative Analysis of Data from Successful Face-to-Face and E-Negotiation, in Group Decision and Negotiation, 15(2), pp. 127-140 Springer. (Extended version of the FINEXIN workshop paper [11]) 6. M. Sokolova, V. Nastase, S. Szpakowicz, M. Shah. Analysis and Models of Language in Electronic Negotiations, in M. Draminski, P. Grzegorzewski, K. Trojanowski, S. Zadrozny (eds.), Issues in Intelligent Information Systems, Models and Techniques, Akademicka Oficyna Wydawnicza EXIT, Warszawa, 2005, ISBN: 83-87674-91-5, pp. 197-211.  Refereed Conference and Workshop Publications 7. F. Laviolette, M. Marchand and M. Shah. A PAC-Bayes approach to the Set Covering Machine, to appear in the Proceeding of the Nineteenth Conference on Neural Information Processing Systems (NIPS-2005). 8. M. Sokolova, V. Nastase, M. Shah and S. Szpakowicz. Feature Selection for Electronic Negotiation text, to appear in the Proceedings of the Fifth International Conference on Recent Advances in Natural Language Processing (RANLP-2005), pp: 518-524, 2005. 9. F. Laviolette, M. Marchand and M. Shah. Margin-Sparsity tradeoff for the Set Covering Machine. to appear in the Proceedings of the Sixteenth European Conference on Machine Learning (ECML-2005), Springer LNAI vol. 3720, pp: 206-217, 2005. Mohak Shah -3- Curriculum Vitae
  • 10. M. Marchand, M. Shah. PAC-Bayes Learning of Conjunctions and Classification of Gene Expression Data, in Advances in Neural Information Processing Systems 17, (Proceeding of NIPS 2004), pp: 881-888, MIT Press, Cambridge, MA, USA, 2005. 11. M. Shah, M. Sokolova, S. Szpakowicz. Comparative Analysis of Text Data in Face- to-Face and Electronic Negotiations, in Proceedings of the Workshop on Informal and Formal Information Exchange during Negotiations (FINEXIN), Ottawa, pp: 31-42, 2005. 12. M. Shah, M. Sokolova, S. Szpakowicz. The Role of Domain Specific Knowledge in Classifying the Language of E-negotiations, in Proceedings of International Conference on Natural Language Processing, ICON 2004, pp. 99-108, Allied, India (2004). 13. M. Marchand, M. Shah, J. Shawe-Taylor, M. Sokolova. The Set Covering Machine with Data-Dependent Half-Spaces, in Proceedings of the Twentieth International Conference on Machine Learning, (ICML 2003), pp: 520-527, Morgan Kaufmann, San Francisco, CA, USA, 2003.  Non-refereed Workshop Papers and Technical Reports 14. M. Shah, M. Marchand. Learning Rays’ Conjunction for Classifying DNA Microarray Data, IRIS Machine Learning Workshop, Ottawa, Canada, 2004. 15. M. Shah, M. Sokolova, S. Szpakowicz. Using Domain Specific Knowledge to Classify E-negotiations, InterNeg Working Paper, INR 07/04. (http://interneg.org). Invited Talks 1. Learning in the Sample Compression Framework, Special Lecture, Department of Computing Sciences, University of Alberta, April, 2006. 2. Margin-Sparsity trade-off for the Set Covering Machine • National ICT Australia, Statistical Machine Learning Group Seminar, RSISE, Australian National University, November, 2005 • TAMALE Seminar, University of Ottawa, October, 2005. 3. An Introduction to the Support Vector Machine and the Set Covering Machine, University of Ottawa, March 2005. 4. Learning with Rays. • TAMALE Seminar, University of Ottawa, January 2005. • Probability and Statistics Seminar, University of Ottawa, November 2005. 5. Learning Ray’s Conjunctions for Classifying DNA Microarray Data, IRIS Machine Learning Workshop, Ottawa, June 2004. 6. An overview of the Set Covering Machine, University of Ottawa, March 2004. Technical Skills Machine Learning Tools and Algorithms: Support Vector Machine, Set Covering Machine, Various Machine Learning and Pattern Recognition Libraries, WEKA. Mohak Shah -4- Curriculum Vitae
  • Bioinformatics: Exposure to various Bioinformatics tools and formats. Languages: C, C++, Java. Platforms: VC++ Operating Systems: MS Windows, Linux and versions. Other Experience 1. Co-founder and Vice President (Communications), Indian Students’ Association, University of Ottawa, 2001-2002. 2. Chief Editor (Reports), Training and Placement Cell, Institute of Engineering and Technology, Devi Ahilya University, August 2000- July 2001. 3. Public Relations In-charge, Abacus Students’ Club, Institute of Engineering and Technology, Devi Ahilya University, August 1999-July 2000. 4. Co-Organizer and Marketing In-charge, “Deeksha” Annual Educational Convention of the Abacus Students’ Club, Institute of Engineering and Technology, Devi Ahilya University, India, 2001. Extra-Curricular  Holder of Sangeet-Vid (equivalent to the Bachelor of Music) from Indira University of Music and Fine Arts, India.  Other interests include Hiking, Camping, and Rock-climbing. References Available upon Request Mohak Shah -5- Curriculum Vitae