Dr. Erfanul Hoque (he/him) MSc, PhD

Dr. Erfan Hoque is an Assistant Professor in the Department of Community Health and Epidemiology at the University of Saskatchewan. He holds a PhD in Statistics from the University of Manitoba, where he received the Outstanding Academic Performance by a Ph.D. Student award for his research work. He specializes in biostatistics, with expertise in longitudinal data analysis, time series modeling, statistical machine learning, dynamic data science, copulas and missing data analysis.

Erfan’s research interest focuses on the methodological developments in heterogeneous dependence modeling in multivariate data, primarily focusing on developing innovative statistical/biostatistical models and methods for complex and correlated data to address health issues related to communicable and non-communicable diseases. He is also working on interdisciplinary areas such as public health and medicine, genomics, computational finance, transportation, electricity demand, supply chain management etc.

Erfan has published in prestigious journals such as Biometrics, Statistics in Medicine and Canadian Journal of Statistics and presented his work at numerous national and international conferences. He is also a dedicated educator and mentor, supervising graduate students and fostering interdisciplinary collaborations to advance statistical methods for real-world applications. He has also been actively involved in organizing conferences, reviewing for journals, and participating in professional associations. He enjoys his free time playing cricket and football and spending time with his family.

Thompson Rivers University
DASC 5420 - Theoretical Machine Learning (Winter 2023, 2024)
DASC 6510 - Time Series Analysis and Forecasting (Fall 2023, 2024)
STAT 3060 - Applied Regression Analysis (Fall 2024)
STAT 4990 - Time Series Analysis (Fall 2023, 2024)
STAT 2000 - Statistics and probability (Fall 2023, Winter 2024)

University of Manitoba
STAT 1000 - Basic Statistical Analysis 1 (Summer 2018)
STAT 2000 - Basic Statistical Analysis 2 (Summer 2020, Winter 2022)
STAT 2220 - Contemporary Statistics for Engineers (Winter 2021)

Ph.D. in Statistics, University of Manitoba
M.Sc. in Statistics, University of Manitoba
M.S. in Statistics, University of Dhaka
B.Sc. in Statistics, University of Dhaka

Assistant Professor, University of Saskatchewan (Jan 2025 – )
Assistant Professor, Thompson Rivers University (Dec 2022 – Dec 2024)
Lecturer, Department of Statistics, University of Dhaka (May 2014 - Sep 2014)

• Ankita Shelke, Master of Science in Data Science (MScDS), Thompson Rivers University, 2023/1 – 2024/8 - Supervisor. Thesis Title: Optimizing Canada's inflation: A novel approach. 
  Related: won the MSc best poster presentation award in the 12th Annual Canadian Statistics Student Conference (CSSC), Newfoundland, June 2024.
• Roberto Curti, MScDS, Thompson Rivers University, 2023/1 – 2024/8 - Supervisor. Thesis Title: Collectible asset valuation and forecasting - insights from Magic: The Gathering.
• Zijun Ma, MScDS, Thompson Rivers University, 2023/1 – 2024/8 - Supervisor. Thesis Title: Traffic flow forecast based on a data-driven hybrid approach.
• Minoli Munasinghe, MScDS, Thompson Rivers University, 2023/1 – 2024/8 - Co-Supervisor.Thesis Title: A robust regression model with missing and censored data via the EM algorithm.

• Hoque ME., Acar E., and Torabi M. (2022) A Time-heterogeneous D-vine Copula Model for Unbalanced and Unequally Spaced Longitudinal Data. Biometrics, Vol 79(2). doi: 10.1111/biom.13652
• Hoque ME. and Torabi M. (2018) Modeling the Random Effects Covariance Matrix for Longitudinal Data with Covariates Measurement Errors. Statistics in Medicine, Vol 37(28). doi: 10.1002/sim.7908
• Acar E., Azimaee P., and Hoque ME. (2018) Predictive Assessment of Copula Models. Canadian Journal of Statistics, Vol 47(1). https://doi.org/10.1002/cjs.11468
• Hoque ME., Khokan MR., and Bari W. (2015) On Selecting Relevant Covariates and Correlation Structure in Longitudinal Binary model: Analyzing Impact of Height on Type II Diabetes. Austrian Journal of Statistics, Vol 45(3). https://doi.org/10.17713/ajs.v44i3.17
• Hoque ME., Khokan MR., and Bari W. (2014) Impact of Stature on Non-communicable Diseases: Evidence Based on Bangladesh Demographic and Health Survey, 2011 Data. BMC Public Health, 14, 1007(2014). https://doi.org/10.1186/1471-2458-14-1007
  Related: selected for Deans Award (research paper category) 2014, Faculty of Science, University of Dhaka

Referred Conference Papers:

• Hoque ME., Bowala S., Saumyamala A., Thavaneswaran A., and Thulasiram RK. (2024) Novel Resilient Model Risk Forecasts based on Neuro Volatility Models. 2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC).
• Bowala S., Hoque ME., Thavaneswaran A., Thulasiram RK., and Appadoo, SS. (2024) Neural Network Fuzzy Electricity Demand Forecasts Based on Fuzzy Inputs. 2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC).
• Hoque ME., Bowala S., Paseka A., Thavaneswaran A., and Thulasiram RK. (2023) Fuzzy Option Pricing for Jump Diffusion Model using Neuro Volatility Models. 2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC).
• Prentice, BE. and Hoque ME. (2022) Truckload Freight Rates: Putting Theory to The Test. Canadian Transportation Research Forum. Proceedings Issue: 57th Annual Meeting.
• Hoque ME., Thavaneswaran A., Appadoo, SS., Thulasiram RK., and Banitalebi B. (2021) A Novel Dynamic Demand Forecasting Model for Resilient Supply Chains using Machine Learning. 2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC).
• Hoque ME., Thavaneswaran A., Paseka A., and Thulasiram RK. (2021) A Novel Algorithmic Multiple Trading Strategy Using Data-Driven Random Weights Innovation Volatility. 2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC).
• Thavaneswaran A., Liang Y., Paseka A., Hoque ME., and Thulasiram RK. (2021) A Novel Data-Driven Machine Learning Algorithm For Fuzzy Estimates of Optimal PortfolioWeights and Risk Tolerance Coefficient. 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).
• Liang Y., Thavaneswaran A., Zhu Z., Thulasiram RK., and Hoque ME. (2020) Data-Driven Adaptive Regularized Risk Forecasting. 2020 IEEE 44th Annual Computer Software and Applications Conference (COMPSAC).
• Liang Y., Thavaneswaran A., Yu N., Hoque ME., and Thulasiram RK. (2020) Dynamic Data Science Applications in Optimal Profit Algorithmic Trading. 2020 IEEE 44th Annual Computer Software and Applications Conference (COMPSAC).
• Banitalebi B., Appadoo, SS., Thavaneswaran A., and Hoque ME. (2020) Modeling of Short-Term Electricity Demand and Comparison of Machine Learning Approaches for Load Forecasting. 2020 IEEE 44th Annual Computer Software and Applications Conference (COMPSAC).
• Liang Y., Thavaneswaran A., Yu N., Hoque ME. (2020) A Novel Algorithmic Trading Strategy Using Data-Driven Innovation Volatility. 2020 IEEE Symposium Series on Computational Intelligence (SSCI).
• Banitalebi B., Hoque ME., Appadoo, SS., and Thavaneswaran A. (2020) Regularized Probabilistic Forecasting of Electricity Wholesale Price and Demand.2020 IEEE Symposium Series on Computational Intelligence (SSCI).
• Thavaneswaran A., Thulasiram R. K., Zhu Z., Hoque ME., and Ravishanker N. (2019) Fuzzy Value-at-Risk Forecasts Using a Novel Data-Driven Neuro Volatility Predictive Model. 2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC).