I am an AI scientist and a hydroclimatologist by practice with expertise in deep learning, machine learning, and Bayesian statistics. I have a proven track record in building scalable AI pipelines for multi-scale (space and time) forecasting. I am passionate about transforming complex geo-spatial data into actionable intelligence.
Researcher/scientist at the best Universities and research centers in North America
2025 - Present
Scientific AI for climate variability assessment
Physics-informed deep learning
2025 - Present
Multi-modal early warning forecast systems (e.g., geo-Transformer)
LLMs for agent-based extreme prediction
2024- 2025
Foundation model knowledge distillation
Hierarchical deep learning for multi-timescale forecasting
2023-2024
Bayesian networks for causal inference and uncertainty quantification in AI predictive systems
Hybrid geographic information system (GIS)-AI model for socioeconomic assessment
Enhanced my ability to make data-driven decisions, lead cross-functional teams, and drive organizational success in a fast-paced, competitive environment.
2020-2024
Thesis title: Deep Learning-Based Probabilistic Hierarchical Reconciliation for Hydrological and Water
Resources Forecasting
2015-2019
Thesis title: Downscaling Tehran’s Temperature Field Using Machine Learning and Geospatial
Interpolation
2011-2015
Successfully secured competitive federal, institutional, and industry research funding as Co-Principal Investigator, supporting innovative work at the intersection of AI and geo-science
$ 560000
National Sciences and Engineering Research Council of Canada (300k)
National Research Council Canada (245 k)
The Brace Water Centre (15 k)
Recognized for research excellence and leadership through competitive academic awards, invited lectureships, and prestigious distinctions highlighting contributions to hydrology, AI integration, and interdisciplinary innovation
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.)
I have published 12 refereed journal papers, 1 refereed paper in conference proceedings, and given 9
oral presentations at national and international conferences. I currently have 4 papers that are either under review or
being revised for resubmission to peer-reviewed journals and 2 papers under preparation for submission to peer-reviewed
journals. My h-Index of 7, i-10 Index of 7, and over 170 citations are considered excellent for a young researcher in my
field of research.
• 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.
Over a decade of experience designing and delivering graduate and undergraduate courses, fostering interdisciplinary learning and mentorship, and positioning myself as a leader in academic instruction and knowledge dissemination
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
Demonstrated commitment to academic service through extensive peer review for leading journals and active mentorship as a graduate consultant, fostering scholarly rigor and supporting the next generation of researchers
• 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)