Assistant Computer Science

Mohak Shah

Centre for Intelligent Machines Ph: 613-***-****

McGill University email: *****@***.******.**

Montreal, Canada http://cim.mcgill.ca/~mohak

Residence Status

Citizenship: Canada, India

Country of Residence: Canada

Present Position

Postdoctoral Fellow Feb. 2008-

present

Centre for Intelligent Machines

McGill University, Montreal, Canada

(Joint affiliation with Montreal Neurological Institute and

NeuroRx Research, Montreal)

Research Interests and Experience

Machine learning and Artificial Intelligence, Statistical learning theory,

Evaluation of Learning Algorithms, Applications in Biomedical Domains esp.

Bioinformatics and Medical Imaging, and Natural Language Processing

Education and Experience

Postdoctoral Fellow Feb. 2008-

present

Centre for Intelligent Machines

McGill University, Montreal, Canada

(Joint affiliation with Montreal Neurological Institute and

NeuroRx Research, Montreal)

Postdoctoral Fellow Jan 2007-Jan

2008

CHUL Genomics Research Center,

Faculty of Medicine, Laval University,

Quebec, Canada

Postdoctoral Fellow July 2006-

Dec 2006

Department of Computer Science,

Laval University,

Quebec, Canada

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 (Promoted to PhD)

Bachelor of Engineering (with Excellence)

June 2001

Devi Ahilya University, India.

Honors and Awards

Canadian Institute of Health Research (CIHR) Training Grant for

Postdoctoral fellowship at CHUL Research Center, Laval University, Quebec,

2007 (Approx $36000)

National Science and Engineering Research Council (NSERC) Industrial

Research and Development Fellowship, 2006 ($30,000 per year NSERC

contribution for two years, declined)

Ontario Graduate Scholarship (International), Canada, 2004-'05, 2005-'06

($15,000 per year)

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 Memberships: ACM, IEEE, Computer Society

Conference

Program Committee: Canadian Conference on Artificial Intelligence (AI),

2011

AI-2010

AI-2009

AI-2010 Graduate Student Symposium,

AI-2009 Graduate Student Symposium

Reviewing Activities:

(Journals) Journal of Machine Learning Research

Pattern Recognition Journal

IEEE - Transactions on Systems, Man and Cybernetics

IEEE - Transaction on Neural Networks

International Journal of Pattern Recognition and

Artificial Intelligence

(Conferences) Neural Information Processing Systems (NIPS-

2010),

AI-2010

AI-2009

Canadian Conference on Computer and Robot Vision

(CRV)-2009,

IEEE-Canadian Conference on Electrical and Computer

Engineeringg-2008

Research Experience

1. Postdoctoral Fellow Feb

2008-present

Center for Intelligent Machines (joint affiliation with Montreal

Neurological Institute/Hospital, and NeuroRx Research, Montreal)

McGill University, Montreal, Canada

2. Postdoctoral Fellow Jan

2007-Jan 2008

CHUL Genomics Research Center

Faculty of Medicine, Laval University, Quebec, Canada

3. Postdoctoral Fellow July

2006-Dec 2007

Dept. of Computer Science, Laval University, Quebec, Canada

4. 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

5. 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.

6. 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.

7. 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.

. Research Affiliations and Collaborations:

Member of Probabilistic Vision Group, Centre for Intelligent Machines,

McGill University. ( http://cim.mcgill.ca/~pvg ) in collaboration with

Montreal Neurological institute and McConnell Brain Imaging Center,

McGill University.

Affiliated with the Magnetic Resonance Spectroscopy (MRS) group, Brain

Imaging Centre (BIC), Montreal Neurological Institute

Former Memberships:

Gene Quantification Project, Quebec Genomics Center, Quebec, Canada. (

http://genome.ulaval.ca/ )

GRAAL research group. ( http://graal.ift.ulaval.ca/web/index.html )

the Negotiation, Behavior and Language Project.

( http://nebel.site.uottawa.ca )

the Bioinformatics Lab, University of Ottawa.

( 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

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.

Duties for the above courses included classroom tutorials, laboratory

supervision, supervising projects, designing and grading assignments and

mid-term examinations and conducting regular office hours.

Publications (Excluding articles submitted or in progress)

. Book

Evaluating Learning Algorithms: A Classification Perspective, with N.

Japkowicz. Forthcoming: Cambridge University Press (Tentative date of

publication: Jan. 2011) ISBN: 978**********

. Theses

PhD Thesis: Sample Compression, Margin and Generalization: Extensions

to the Set Covering Machine.

University of Ottawa, May, 2006.

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)

Note: An asterisk indicates that the author names are in alphabetical

order and that I am the first author

M. Shah and J. Corbeil. A General Framework for Analyzing Data from

Two Short Time-Series Microarray Experiments, to appear, in IEEE/ACM

Transactions on Computational Biology and Bioinformatics (TCBB), 2010.

*F. Laviolette, M. Marchand, M. Shah and S. Shanian. Learning the Set

Covering Machine by Bound Minimization and Margin-Sparsity Trade-off,

in Machine Learning, 78(1-2), pp. 275-301, 2010.

M. Shah, M. Sokolova and S. Szpakowicz. Process-Specific Information

for Learning E-Negotiation Outcomes, in Fundamenta Informaticae, 74(2-

3), pp. 351-373, 2006

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, 2006. (Extended version of

the FINEXIN workshop paper [16])

M. Sokolova, V. Nastase, M. Shah and S. Szpakowicz. Feature Selection

in Electronic Negotiation Texts, in E-Negotiation - An Introduction,

R. Kumar and J. Banda (eds.), the ICFAI University Press, ISBN: 81-314-

0448-X, 2006.

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, 2005

. Refereed Conference Publications

Note: An asterisk indicates that the author names are in alphabetical

order and I am the first author

N. Karimaghaloo, M. Shah, S. Francis, D. Arnold, D. L. Collins and T.

Arbel. Detection of Gad-enhancing Lesions in Multiple Sclerosis using

Conditional Random Fields, to appear, in Proc. of 13th International

Conference on Medical Image Computing and Computer Assisted

Intervention (MICCAI-2010), Beijing, China, Lecture Notes in Computer

Science, Springer, 2010.

Y. Xiao, M. Shah, S. Francis, D. Arnold, T. Arbel and D. L. Collins.

Optimal Gaussian Mixture Models of Tissue Intensities in Brain MRI of

patients with Multiple Sclerosis, to appear, in Proc. Of 1st

International Workshop on Machine Learning in Medical Imaging (MLMI)

in conjunction with the 13th Int. Conf. on Medical Image Computing and

Computer Assisted Intervention (MICCAI-2010), Beijing, China, Lecture

Notes in Computer Science, Springer, 2010.

M. Shah. Risk Bounds for Randomized Sample Compressed Classifiers, in

the Advances in Neural Information Processing Systems (NIPS), 21, pp.

1449--1456, 2009.

M. Shah, Y. Xiao, S. Francis, D. Arnold, D. L. Collins and T. Arbel,

Effectiveness of Intensity Normalization on MRIs of Human Brains with

Multiple Sclerosis, in the MICCAI Workshop on Medical Image Analysis

on Multiple Sclerosis (MIAMS-09), pp. 37-48, London, UK, 2009.

N. Subbanna, M. Shah, S. Francis, S. Narayanan, D. Arnold, D. L.

Collins and T. Arbel. MS Lesion Segmentation using Markov Random

Fields, in the MICCAI Workshop on Medical Image Analysis on Multiple

Sclerosis (MIAMS-09), pp. 15-26, London, UK, 2009.

M. Shah and S. Shanian, Hold-out Risk Bounds for Classifier

Performance Evaluation, in the Proceedings of the 4th Workshop on

Evaluation Methods for Machine Learning in conjunction with ICML-2009,

Montreal, Canada, 2009.

M. Sirois, L. Robitaille, M. Shah, C. Woelk and J. Corbeil. HIV

Modulates Host Gene Expression in Macrophages after IFN Alpha2

Treatment. (Abstract D-119) in 15th Conference on Retroviruses and

Opportunistic Infections (CROI-2008). Boston, MA, USA.

M. Shah. Risk Bounds for Classifier Evaluation, in the Proceedings of

the 3rd Workshop on Classifier Evaluation in conjunction with ICML-

2008, Helsinki, Finland, 2008.

M. Shah. Sample Compression Bounds for Decision Trees, in the

Proceedings of the 24th International Conference on Machine Learning

(ICML 2007), pp. 799-806, ACM Press, New York, NY, USA, 2007.

*F. Laviolette, M. Marchand and M. Shah. A PAC-Bayes approach to the

Set Covering Machine, in the Advances in Neural Information Processing

Systems(NIPS) 18, pp. 731-738, MIT Press, 2006.

M. Sokolova, V. Nastase, M. Shah and S. Szpakowicz. Feature Selection

for Electronic Negotiation text, in the Proceedings of the Fifth

International Conference on Recent Advances in Natural Language

Processing (RANLP-2005), pp: 518-524, 2005.

*F. Laviolette, M. Marchand and M. Shah. Margin-Sparsity tradeoff for

the Set Covering Machine. in the Proceedings of the Sixteenth European

Conference on Machine Learning (ECML-2005), Springer LNAI vol. 3720,

pp: 206-217, 2005.

M. Sokolova, M. Shah, 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.

*M. Marchand, M. Shah. PAC-Bayes Learning of Conjunctions and

Classification of Gene Expression Data, in Advances in Neural

Information Processing Systems(NIPS) 17, pp: 881-888, MIT Press,

Cambridge, MA, USA, 2005.

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.

*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

M. Shah, M. Marchand and J. Corbeil. Feature Selection with

Conjunction of Decision Stumps and Learning from Microarray Data,

eprint arXiv:1005.0530, May, 2010.

M. Shah, M. Marchand. Learning Rays' Conjunction for Classifying DNA

Microarray Data, IRIS Machine Learning Workshop, Ottawa, Canada, 2004.

M. Shah, M. Sokolova, S. Szpakowicz. Using Domain Specific Knowledge

to Classify E-negotiations, InterNeg Working Paper, INR 07/04.

(http://interneg.org).

Selected Invited Talks

1. The Sample Compression Framework in Machine Learning, at Microsoft

Research, Redmond, WA, USA, March, 2009 (available publicly at

ResearchChannel.org).

2. Gene Identification and Pattern Extraction from Short time-series

microarray data, at TAMALE Seminar series, University of Ottawa,

October, 2008.

3. Approaches to MS Lesion identification, at Montreal Neurological

Institute, October, 2008

4. Analyzing Gene Expression Data with Few Examples, CHUL Research

Center and Center for Infectious Diseases, Laval University,

Canada, May, 2007.

5. Feature Selection using Sample Compression for Classification of

Gene Expression Data, Gatsby Computational Neuroscience Unit,

University College London, London, UK, November 2006.

6. Learning in the Sample Compression Framework,

. CIM, McGill and Univ. of Montreal Joint Machine Learning

Seminar Series

. Department of Computing Science, University of Alberta, April,

2006.

7. 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.

8. An Introduction to the Support Vector Machine and the Set Covering

Machine, University of Ottawa, March 2005.

9. Learning with Rays.

. TAMALE Seminar, University of Ottawa, January 2005.

. Probability and Statistics Seminar, University of Ottawa,

November 2005.

10. Learning Ray's Conjunctions for Classifying DNA Microarray Data,

IRIS Machine Learning Workshop, Ottawa, June 2004.

11. An overview of the Set Covering Machine, University of Ottawa,

March 2004.

References

Mario Marchand

Professor and Chair, Department of Computer Science

Laval University, Quebec, QC, Canada

Ph: 418-***-**** ext. 5189

email: *****.********@***.******.**

webpage: http://www2.ift.ulaval.ca/~mmarchand

Tal Arbel

Associate Professor

Centre for Intelligent Machines

Department of Electrical and Computer Engineering

McGill University

Ph: 514-***-****

email: *****@***.******.**

webpage: http://cim.mcgill.ca/~arbel

Jacques Corbeil

Professor, and Canada Research Chair in Medical Genomics

Infectiology and Cancer Research Centre

Laval University

Ph: 418-***-**** ext: 46423

email: *******.*******@******.******.**

webpage: http://www.cri.ulaval.ca/?jcorbeil_eng

Nathalie Japkowicz

Associate Professor

School of Information Technology and Engineering

University of Ottawa

Ph: 613-***-**** ext. 6693

email: ***@****.*******.**

webpage: http://www.site.uottawa.ca/~nat

Marcel Turcotte

Associate Professor

School of Information Technology and Engineering

University of Ottawa

Ph: 613-***-**** ext 6660

email: ********@****.*******.**

webpage: http://www.site.uottawa.ca/~turcotte

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