Usman T Khan

Associate Professor

York University

Canada

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Usman T Khan is an Associate Professor at York University in Canada. His research areas encompass machine learning algorithms for predicting excavation damage, water quality modeling for humanitarian emergencies, and flood forecasting systems. He has published extensively on topics including wastewater treatment, flood hazard assessment, and safe water practices in refugee camps.

Articles (10)

Year:

2025

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2025

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2025

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2025

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2025

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2025

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2025

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2024

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2024

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2024

Collaborators (8)

Kristian Förster

University of Applied Sciences Weihenstephan-Triesdorf

GERMANY

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Maria Elena Orduna Alegria

Assistant Professor

Oregon State University

UNITED STATES

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Marthe Wens

University of Amsterdam

NETHERLANDS

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Georges Monette

York University

CANADA

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Adeyemi Olusola

Assistant Professor

York University

CANADA

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Soham Adla

Delft University of Technology

NETHERLANDS

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Natasha Harvey

The Australian National University

AUSTRALIA

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Florence MAINGUENAUD

Tokyo Gakugei University

JAPAN

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Usman T Khan

Research Interests

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About

Articles (10)

Protecting the Safe Water Chain in Refugee Camps: An Exploratory Study of Water Handling Practices, Chlorine Decay, and Household Water Safety in South Sudan, Jordan, and Rwanda

Probabilistic Flood Hazard Assessment for Multiple Flood and Levee Breaching Scenarios: A Case Study of Etobicoke Creek, Canada

Comparison of Different Classification and Regression Machine Learning Algorithms for the Prediction of Excavation Damage Zone Depths

Proof-of-concept evaluation at Cox’s Bazar of the Safe Water Optimization Tool: water quality modelling for safe water supply in humanitarian emergencies

Exploring wastewater treatment plant operation and performance using k-means and Gaussian mixture clustering

Advancing flood early warning systems: ensemble learning-based classifiers for urban flood forecasting

Training for the test: Using multi-objective training to improve ANN ensemble forecasts of household residual chlorine in emergencies

The IAHS Science for Solutions decade, with Hydrology Engaging Local People IN a Global world (HELPING)

Integrating Multiple Levee-Breaching Scenarios and Flood Events to Develop a Probabilistic Spatial Flood-Hazard Map of Etobicoke Creek in Toronto, Canada

Flood susceptibility mapping using ANNs: a case study in model generalization and accuracy from Ontario, Canada

Collaborators (8)

Kristian Förster

Maria Elena Orduna Alegria

Marthe Wens

Georges Monette

Adeyemi Olusola

Soham Adla

Natasha Harvey

Florence MAINGUENAUD

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