Saman Muthukumarana

Personal Website

Recent Publications

• Matharaarachchi, S., Domaratzki, M. and Muthukumarana, S. (2021). Selecting a Minimal Number of Features with Similar Performance. Under Review.
• Munaweera, I., Muthukumarana, S., Gillis, D.M., Watkinson, D.A., Charles, C. and Enders, E.C. (2021). Assessing Movement Patterns using Bayesian State-Space Models on Lake Winnipeg Basin Walleye. Canadian Journal of Fisheries and Aquatic Sciences. Accepted.
• Wickramasinghe, A. and Muthukumarana, S. (2021). Social Network Analysis and Community Detection on Spread of COVID-19. Model Assisted Statistics and Applications. Accepted.
• Zhang, W., Wang, X., Muthukumarana, S. and Yang, P. (2021).  A Continual Reassessment Method Without Undue Risk of Toxicity. Communications in Statistics – Simulation and Computation. Accepted.
• Dharmasena, I., Domaratzki, M. and Muthukumarana, S. (2020). Modeling Mobile Apps User Behavior Using Bayesian Networks. Under Review.
• Neufeld, L.,  Muthukumarana, S., Fischer, J., Ray, J., Siegrist, J and Fraser, K. (2020). Breeding latitude predicts the timing of nest initiation and migration timing around the annual calendar among populations of a declining, migratory songbird purple martin (Progne subis). Under Review.
• Wickramasinghe, L., Leblanc, A. and Muthukumarana, S. (2020). Bayesian Inference On Sparse Multinomial
  Data Using Smoothed Dirichlet Distribution. Under Review.
• Doshi, A., Johnson, B. and Muthukumarana, S. (2020). Temporal Preservation of Cliques in Preferential Attachment Models. Under Review.
• Dharmasena, I., Domaratzki, M. and Muthukumarana, S. (2020). Comparison of Resampling Methods on Mobile Apps User Behavior. Under Review.
• Anand, M., Rajapakse, A. Muthukumarana, S. and Bagen, B. (2020). Evaluation of a Stochastic Vehicle Travel Pattern Generation Model with Real-World Travel Data. IEEE Electric Power and Energy. Accepted.
• Wickramasinghe, L., Leblanc, A. and Muthukumarana, S. (2020). Model Based Estimation of Baseball Batting Metrics. Journal of Applied Statistics. Accepted.
• Muthukumarana, S., Martell, D. and Tiwari, R.C. (2019). Meta Analysis of Binary Data with Excessive Zeros in Two-arm Trials. Journal of Statistical Distributions and Applications 6, 1-17.
• Muthukumarana, S., Vincent, K. and Tichon, J. (2019). Bayesian Item Response Analysis of Method-of-Payment Habits in Banking Surveys. Journal of Mathematical Finance 9, 1-10.
• Muthukumarana, S. and Khargonkar, N. (2019). Modeling and Simulation of UEFA Champions League. 15th International Conference on Machine Learning and Data Mining, MLDM 2019 Proceedings Volume II, 820 – 834.
• Kpekpena, C. and Muthukumarana, S. (2018). Bayesian Equivalence Testing and Meta-Analysis in Two-Arm Trials with Binary Data. Computational and Mathematical Methods in Medicine, 1- 8.
• Wickramasinghe, L., Leblanc, A. and Muthukumarana, S. (2018). Modelling Bowling Performance in T20I Cricket. Under Review.
• Kroeker, K., Widdifield, J., Muthukumarana, S., Jiang, D. and Lix, L. (2017). Model-based methods for case definitions from administrative health data: application to rheumatoid arthritis. BMJ open 7 (6), e016173.
• Kuwornu, J.P., Lix, L.M., Quail, J.M., Forget, E., Muthukumarana, S., Wang, X.E., Osman, M. and Teare, G.F. (2016). Identifying Distinct Healthcare Pathways During Episodes of Chronic Obstructive Pulmonary Disease Exacerbations. Medicine, 95 (9), e2888.
• Muthukumarana, S. and Tiwari, R.C. (2016). Meta-Analysis using Dirichlet Process. Statistical Methods in Medical Research 25 (1), 352-365.

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Recent Awards, Honors and Research Grants

• Fisheries and Oceans Canada Grant for Mark-recapture and movement analysis of Anadromous Dolly Varden in the western Canadian Arctic (2020 – 2023).
• Mitacs Accelerate, Assessing and Identifying Indoor environmental Quality Gaps in Commercial
  Buildings using Wireless sensors and Big Data Analysis Tools (with Yang Wang, 2020 – 2022).
• Fisheries and Oceans Canada Contract Award for Analyzing Capture-Mark-Recapture and Acoustic Telemetry Data (2020 – 2021).
• The Canadian Statistical Sciences Institute (CANSSI) Collaborative Research Team Project Grant for Addressing Spatial and Computational Issues in Integrated Analysis of Modern Ecological Data (with Laura Cowen (UVictoria) and Simon Bonner (Western), 2020 – 2023).
• Faculty of Science Interdisciplinary/New Directions Research Collaboration Initiation Grant for Investigating Avian Resiliency to Environmental Change using New Migratory Tracking Technologies and Statistical Modelling (with Kevin Fraser, 2020 -2021).
• Mitacs Accelerate, Modeling and Simulation Methods for Assessing Casino Player Behaviour (2019 – 2021).
• Faculty of Science Research Innovation and Commercialization Grant (2019 – 2020).
• The Canadian Statistical Sciences Institute (CANSSI) Conference Grant for Nexus 2019 – Art of the Possible, International Data Science Conference (2019).
• University of Manitoba Travel and Conference Grant for Nexus 2019 – Art of the Possible – International Data Science Conference (2019).
• NSERC Engage Grant for User Behavior Analytics and Software Development for Assessing RaceRunner Customers (2018 – 2019).
• Natural Sciences and Engineering Research Council (NSERC) of Canada – Discovery Grant; Bayesian Methods, Computation, Model Selection and Goodness of Fit with Complex Data (2018 – 2023).
• Ian C. P. Smith Integrated Science Faculty Scholar (SIS Faculty Scholar) (2017- 2020).
• Faculty of Science Interdisciplinary/New Directions Research Collaboration Initiation Grant for Modelling Environmental and Ecological Processes using Bayesian Methods (2018 -2019).
• Teaching and Learning Enhancement Fund (TLEF) Grant for Investigating New Trends in Interdisciplinary Science Education ( Co-applicant with other SIS Faculty Scholars, 2018 -2019).
• MITACS Globalink (2013 – 2018).
• Natural Sciences and Engineering Research Council (NSERC) of Canada – Discovery Grant; Bayesian Methods and Computation in Complex Models (2011 – 2018).

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Recent Conference and Seminar Presentations

• Bayesian Networks Learning for Complex Data, The Faculty of Computing Research Symposium, Kotelawala Defence University, December 2020. (Invited – Keynote – Online).
• Modeling and Simulation of Mobile Apps User Behavior, Department of Mathematics and Statistics Seminar Series, University of  Victoria, November 2020. (Invited – Online).
• Modelling and Simulation using Dirichlet Process with Applications, Machine Learning Special Interest Group Seminar Series, University of Manitoba, April 2020. (Invited – Online).
• Bayesian Networks for Assessing Mobile App User Behavior, St. Anne’s College – University of Oxford UK, January 2020. (Invited).
• Bayesian Methods with Applications, IEEE RobConIM Seminar Series, Winnipeg Section, December 2019. (Invited).
• Model Based Estimation of Baseball Batting Metrics, International Conference on Statistical Distributions and Applications (ICOSDA), Eberhard Conference Center, Grand Rapids USA, October 2019. (Invited).
• Bayesian Methods for User Behaviour Analysis of Customers, Asian Institute of Technology, Bangkok Thailand, July 2019. (Invited).
• Modeling and Simulation of UEFA Champions League, International Conference on Machine Learning and Data Mining, New York, July 2019.
• Sports Analytics: Models & Predictions, University School of Business, Chandigarh University India, July 2019. (Invited).
• Bayesian Methods & Computation with Applications, Department of Mathematics, Chandigarh University India, July 2019. (Invited).
• Bayesian Models for Assessing Lake Winnipeg Fish Movement Patterns, Meeting on Integrated Modelling, Western University, June 2019. (Invited).
• Meta analytic approaches and multiple treatments assessment in clinical trials, IISA Conference, University of Florida, Gainesville, Florida, May 2018. (Invited).
• Modeling and Simulation of UEFA Champions League, Joint Statistical Meetings, Baltimore, August 2017.
• Assessing Personality Traits in Ordinal Survey Data, 75th ICP Conference, Pace University, New York, July 2017. (Invited).
• Bayesian Methods with Biological Applications, Department of Biological Sciences Seminar Series, University of Manitoba, April 2017. (Invited).
• Meta-analytic Methods using Dirichlet Process, Department of Statistics Seminar Series, University of Manitoba, April 2017.
• Bayesian Approach for Analyzing Data Arising from Two-Arm Trials, ODRS Conference 2016, McMaster University Hamilton Ontario, August 7-10 2016. (Invited).
• Non-inferiority Hypothesis Testing in Two-arm Trials using Relative Belief Ratios, International Conference on Statistical Distributions and Applications (ICOSDA), Niagara Falls Ontario, October 14-16 2016. (Invited).
• Panelist on Speed Networking Session, Canadian Society for Epidemiology and Biostatistics National Student Conference, Brodie Centre(Bannatyne Campus) Winnipeg, June 8-10 2016. (Invited).
• Bayesian Inference in Two-arm Trials, IISA Conference, Riverside California, July 2014. (Invited)
• Bayesian Hypothesis Assessment in Two-arm Trials Using Relative Belief Ratios, Statistical Society of Canada annual Meeting, University of Toronto, May 2014.
• Statistical Methods for Noninferiority Trials, Joint Statistical Meetings, Montreal, August 2013. (Topic contributed)
• Statistical Heterogeneity in Multi-arm Clinical trials: A Meta Analysis Approach, ICSA/ISBS Joint Statistical Conference, Washington D.C, June 2013. (Invited).
• Bayesian Analysis and Model Assessment of Binary Item Response Data, Statistical Society of Canada annual Meeting, University of Alberta, Edmonton Alberta, May 2013.
• Panel Session on Methodological Innovations for Patient-Oriented Research, The George & Fay Yee Centre for Healthcare Innovation (CHI), University of Manitoba / Winnipeg Regional Health Authority, December 2012 (12/12/12/12 Noon). (Invited).
• Random-Effects Meta-Analysis Using Dirichlet Process, Joint Statistical Meetings, San Diego California, August 2012. (Topic contributed).
• Modelling Heterogeneity in Mark-recapture Data Using the Dirichlet Process, ISBA 2012 World Meeting, Kyoto Japan, June 2012. (Special Topic Session).
• Assessing Noninferiority in Multi Arm Clinical Trials, Statistical Society of Canada annual Meeting, University of Guelph, Guelph Ontario, June 2012. (Invited).

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Current and Recent Graduate Students

• Arjun Banik (Ph.D., Current, co-supervise with Laura Cowen at UVictoria)
• Christophe Turcotte-van de Rydt (M.Sc., Current, co-supervise with Kevin Fraser)
• Elham Afzali (Ph.D., Current, co-supervise with Liqun Wang)
• Samuel Morrissette (M.Sc., Current, co-supervise with Jason Fiege)
• Courtney Bonner (M.Sc., Current)
• Surani Mathara Arachchige (M.Sc., Current, co-supervise with Mike Domaratzki)
• Ashani Wickramasinghe (M.Sc., Current)
• Adriana-Stefania Ciupeanu (Ph.D., Current, co-supervise with Julien Arino)
• Qiao Tang (M.Sc., Current, co-supervise with Xikui Wang)
• Laurence Cuny (M.Sc., 2020, co-supervised with Katherine Davies)
• Inesh Munaweera (Ph.D., Current, co-supervise with Darren Gillis)
• Lahiru Wickramasinghe (Ph.D., Current, co-supervise with Alex Leblanc)
• Ankit Doshi (Ph.D., Current, co-supervise with Brad Johnson)
• Isuru Dharmasena (M.Sc., 2020)
• Weijia Zhang (Ph.D., 2019, co-supervised with Po Yang)
• Mohammed Mujaab Kamso (M.Sc., 2018, co-supervised with Saumen Mandal)
• Inesh Munaweera (M.Sc., 2018, co-supervised with M. Jafari Jozani)
• Lahiru Wickramasinghe (M.Sc., 2015)
• Peng Zhang (M.Sc., 2014)
• Cynthia Kpekpena (M.Sc., 2014)
• Jing Zhang (M.Sc., 2012)

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Current and Recent Teaching

• STAT 7270 Bayesian Inference (Winter 2021)
• STAT 4150 Bayesian Analysis and Computing (Winter 2021)
• STAT 7270 Bayesian Inference (Fall 2019)
• STAT 2150 Statistics and Computing (Winter 2019)
• STAT 2150 Statistics and Computing (Fall 2018)
• STAT 2150 Statistics and Computing (Winter 2018)
• STAT 7270 Bayesian Inference (Winter 2017)
• STAT 7240 Advanced Computational Statistics (Fall 2016)
• STAT 3480 Statistical Methods for Research Workers 2 (Winter 2016)
• STAT 3470 Statistical Methods for Research Workers 1 (Fall 2015)
• STAT 7250 Bayesian Computational Analysis (Fall 2015)
• STAT 7360 Nonparametric Bayesian Models (Winter 2015)
• STAT 3480 Statistical Methods for Research Workers 2 (Winter 2015)
• STAT 7250 Bayesian Computational Analysis (Winter 2014)
• STAT 3480 Statistical Methods for Research Workers 2 (Winter 2014)
• STAT 1000 Basic Statistical Analysis 1 (Fall 2013)
• STAT 4200 Statistical Inference 2 (Winter 2013)
• STAT 4100 Statistical Inference 1 (Fall 2012)

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Biography

Saman joined the Department of Statistics as an Assistant Professor on July 1, 2010. He obtained a B.Sc. Honours special degree in Statistics from University of Sri Jayewardenepura, Colombo, Sri Lanka. In spring 2007, he completed a Master of Science degree in statistics under the supervision of Dr. Tim Swartz at Simon Fraser University. His thesis developed a Bayesian Analysis template for the Pacific Ocean Shelf Tracking project. This work was published in the Canadian Journal of Statistics as a discussed paper. He then continued to work with Dr. Tim Swartz for his doctoral thesis and completed his Ph.D. on June 2010. His thesis developed new theoretical and computational methodologies which deal with latent variable models and complex model structures for problems in sports, ordinal survey and network data. This work has been published in the Canadian Journal of Statistics and Australian & New Zealand Journal of Statistics.