Computer Science
Water Resources Institute
BIO
Ijaz Ul Haq is a Ph.D. candidate in Computer Science at ¶¶Òõ̽̽, where his research focuses on leveraging artificial intelligence and data-driven methods to address critical challenges in hydrology and environmental resilience. With a strong foundation in software engineering, Ijaz earned his Bachelor’s degree from the University of Engineering and Technology, Pakistan, and his Master’s degree in Computer Science from Beijing Institute of Technology, China.
Ijaz’s work spans the development of innovative tools for hydrological analysis, including educational platforms like the CAMELS-Chem web application, which facilitates the exploration of water quality and catchment attributes. His research integrates advanced machine learning, hydrological modeling, and geospatial analysis to improve forecasting, anomaly detection, and data quality in environmental datasets.
In his role as Research Analyst at the Water Resources Institute, Ijaz combines technical expertise and environmental insights to build tools that enhance our understanding of hydrological processes and support national-scale water resource management.
Area(s) of expertise
Hydrology, Artificial intelligence, Environmental resilience
Bio
Ijaz Ul Haq is a Ph.D. candidate in Computer Science at ¶¶Òõ̽̽, where his research focuses on leveraging artificial intelligence and data-driven methods to address critical challenges in hydrology and environmental resilience. With a strong foundation in software engineering, Ijaz earned his Bachelor’s degree from the University of Engineering and Technology, Pakistan, and his Master’s degree in Computer Science from Beijing Institute of Technology, China.
Ijaz’s work spans the development of innovative tools for hydrological analysis, including educational platforms like the CAMELS-Chem web application, which facilitates the exploration of water quality and catchment attributes. His research integrates advanced machine learning, hydrological modeling, and geospatial analysis to improve forecasting, anomaly detection, and data quality in environmental datasets.
In his role as Research Analyst at the Water Resources Institute, Ijaz combines technical expertise and environmental insights to build tools that enhance our understanding of hydrological processes and support national-scale water resource management.
Areas of Expertise
Hydrology, Artificial intelligence, Environmental resilience