National Sciences and Engineering Research Council of Canada (300k)

National Research Council Canada (245 k)

The Brace Water Centre (15 k)

University of Waterloo (Ph.D.)

• Doctoral Thesis Completion Award (2024)

• International Doctorate Scholarship (2020-2024)

• TE Unny Memorial award (2023, 2024)

• Senate Graduate Scholarship (2024)

• Research Dissemination Award (2022, and 2023)

Sharif University of Technology (M.Sc. and B.Sc.)

• Summa Cum Laude (Rank 1) (M.Sc., 2018)

• Best graduate student (M.Sc., 2019)

• Rank 5 in the Iranian National University Graduate Program Entrance Exam (M.Sc.)

• Top 0.5 Percentile in Iranian National University Entrance Exam (B.Sc.)

• Jahangir, M.S. et al., 2025. A novel hybrid fine-tuning method for supercharging deep learning model development for hydrological prediction. Currently under review.

• Jahangir, M.S. et al., 2025. Distillation of knowledge for hydrological prediction and forecasting. Currently under review.

• Quilty, J., and Jahangir, M.S., 2025. Deep learning for the probabilistic prediction of semi-continuous hydrological variables. Currently under review.

• Gousseau, Z., Lamontagne, P., Jahangir, M.S., and Scott, A., 2024. Deep Graph Neural Networks for Spatiotemporal Forecasting of Sub-Seasonal Sea Ice: A Case Study in Hudson Bay. Currently under review.

• Jahangir, M.S., and Quilty, J., 2025. Hierarchical deep learning for consistent multi-timescale hydrological forecasting. Water Resources Research, 61,e2024WR038105. https://doi.org/10.1029/2024WR038105.

• Chakraborty, L., Spinney, A.J., Malomo, D., Thistlethwaite, J., Motlaghzadeh, K., Jahangir, M.S., Henstra, D., Andrews, S. and Pulatsu, B., 2025. Assessing the environmental justice implications of seismic risk in Ottawa-Gatineau and Montreal metropolitan areas. International Journal of Disaster Risk Reduction, p.105516.

• Yang, L., He, W., Zou, X., Wang, J., Xia, H., Jahangir, M.S., Adamowski, J. and Feng, Q., 2025. A probabilistic approach to enhance drought modelling in alpine regions: Transition from meteorological to hydrological droughts. Journal of Environmental Management, 390, p.126297.

• Jahangir, M.S. and Quilty, J., 2024. Sequence-to-Sequence Deep Learning for Urban Water Demand Forecasting. Engineering Proceedings, 69(1), p.41.

• Rezaali, M., Jahangir, M.S., Fouladi-Fard, R., Keellings, D., 2024. An Ensemble Deep Learning Approach to Spatiotemporal Tropospheric Ozone Forecasting: A Case Study in Tehran, Iran. Urban Climate, 55, p.101950.

• Jahangir, M.S. and Quilty, J., 2024. Generative deep learning for probabilistic streamflow forecasting: Conditional variational auto-encoder. Journal of Hydrology, 629, p.130498.

• Quilty, J., Jahangir, M.S., You, J., Hughes, H., Hah, D., Tzoganaki, I., 2023. Bayesian extreme learning machines for hydrological prediction uncertainty. Journal of Hydrology, p.130138.

• Jahangir, M.S., You, J. and Quilty, J., 2023. A quantile-based encoder-decoder framework for multi-step ahead runoff forecasting. Journal of Hydrology, 619, p.129269.

• Jahangir, M.S. and Quilty, J., 2022. Temporal Hierarchical Reconciliation for Consistent Water Resources Forecasting Across Multiple Timescales: An Application to Precipitation Forecasting. Water Resources Research, 58(6), p.e2021WR031862.

• Jahangir, M.S., Biazar, S.M., Hah, D., Quilty, J. and Isazadeh, M., 2021. Investigating the impact of input variable selection on daily solar radiation prediction accuracy using data-driven models: a case study in northern Iran. Stochastic Environmental Research and Risk Assessment, pp.1-25.

• Ketabchi, H. and Jahangir, M.S., 2021. Influence of aquifer heterogeneity on sea level rise-induced seawater intrusion: A probabilistic approach. Journal of Contaminant Hydrology, 236, p.103753.

• Jahangir, M.S. and Moghim, S., 2019. Assessment of the urban heat island in the city of Tehran using reliability methods. Atmospheric Research, 225, pp.144-156.

• Moghim, S. and Jahangir, M.S., 2022. Reliability framework for characterizing heat wave and cold spell events. Natural Hazards, pp.1-23.

• Ketabchi, H. and Jahangir, M.S., 2019. Probabilistic numerical assessment of seawater intrusion overshoot in heterogeneous coastal aquifers. Stochastic Environmental Research and Risk Assessment, 33(11), pp.1951-1968.

McGill University

Watershed Management (Fall 2024, Winter 2025)

• Guest Lecturer

University of Waterloo

Fluid Mechanics (Winter and Spring 2022)

• Teaching Assistant

Statistics and Probability (2021)

• Teaching Assistant

Water Resources Management (2023, 2024)

• Guest Lecturer

Deep learning for Hydrology (Workshop- 2023)

• Instructor

Sharif University of Technology

Google Earth Engine (Workshop- 2019)

• Instructor

Introduction to Matlab (Short Course- 2017)

• Instructor

Advanced Mathematical Engineering (2017)

• Teaching Assistant

Stochastic Hydrology (2018)

• Teaching Assistant

Hydraulic Lab (Spring and Fall 2017)

• Teaching Assistant

Water Resources Systems Analysis (2017)

• Teaching Assistant

Hydraulics of Open Channel Flows (2017)

• Teaching Assistant

Hydrology Engineering (2017)

• Teaching Assistant

Environmental Hydrodynamics (2018)

• Teaching Assistant

Fluid Mechanics (2019)

• Teaching Assistant

• Reviewer IEEE Transactions on Neural Networks and Learning Systems (2025-)

• Reviewer Water Resources Research (2023-)

• Reviewer Journal of Hydrology (2022-)

• Reviewer Environmental Modeling and Software (2024-)

• Reviewer Journal of Applied Energy (2022-)

• Reviewer Journal of Advances in Water Resources (2023-)

• Reviewer Journal of Hydrologic Engineering (2023-)

• Civil Engineering Graduate Student Association Councillor (University of Waterloo, 2021-2022)