Faculty Member
Professor SAJJAD, Muhammad
Research Assistant Professor
BS (Hons) GCUF (Gold Medal);
MS XMU (Award of Excellence);
PhD CityU,
Visiting Scholar Princeton University
(852) 3943-6643
muhammadsajjad@cuhk.edu.hkRESEARCH PROJECTS
- Equipment Matching Fund for drone and virtual reality (2022-) – 268,960 HK$ (Co-PI)
- Startup Grant (Tier 1) by The HKBU Research Committee (2021-2022) — 100,000 HK$ (PI)
- One-off Special Allowance 2021-2022 (4,500 HK$) – Dept. of Geography, HKBU
- Research Talent Hub Fund Awardee (459,667 HK$) of the Innovation and Technology Commission, HKSAR (2021)
- Partial Research Activities Fund 2018/19 (30,000 HK$) – CityU of Hong Kong
SELECTED PUBLICATIONS
(* Corresponding Author)
Waleed, M., & Sajjad, M.* (2025). High-resolution flood susceptibility mapping and exposure assessment in Pakistan: An integrated artificial intelligence, machine learning and geospatial framework. Machine Learning and Geospatial Framework. International Journal of Disaster Risk Reduction, 121, 105442.
Rehman, A., Sajjad, M.,* Song, J., Riaz, M. T., Mehmood, M. S., & Ahamad, M. I. (2025). Integrated frequency ratio-analytical hierarchy and geospatial techniques-based earthquake risk assessment in mountainous cities: a case from the Northwestern Himalayas. Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards, 19(2), 389-409.
Waleed, M., & Sajjad, M.* (2025). Advancing flood susceptibility prediction: A comparative assessment and scalability analysis of machine learning algorithms via artificial intelligence in high‐risk regions of Pakistan. Journal of Flood Risk Management, 18(1), e13047.
Waleed, M., Sajjad, M.*, & Shazil, M. S. (2024). Urbanization-led land cover change impacts terrestrial carbon storage capacity: a high-resolution remote sensing-based nation-wide assessment in Pakistan (1990–2020). Environmental Impact Assessment Review, 105, 107396.
Waleed, M., & Sajjad, M.* (2023). On the emergence of geospatial cloud-based platforms for disaster risk management: A global scientometric review of google earth engine applications. International journal of disaster risk reduction, 104056.
Khoshnazar, A., Perez, G. C., & Sajjad, M.* (2023). Characterizing spatial–temporal drought risk heterogeneities: a hazard, vulnerability and resilience-based modeling. Journal of Hydrology, 619, 129321.
Bozeman III, J. F., Chopra, S. S., James, P., Sajjad, M., Cai, H., Tong, K., … & Bilec, M. (2023). Three research priorities for just and sustainable urban systems: Now is the time to refocus. Journal of Industrial Ecology, 27(2), 382-394.
Sajjad, M.* (2021). Disaster resilience in Pakistan: A comprehensive multi-dimensional spatial profiling. Applied geography, 126, 102367.
Sajjad, M.*, Chan, J. C., & Chopra, S. S. (2021). Rethinking disaster resilience in high-density cities: Towards an urban resilience knowledge system. Sustainable Cities and Society, 69, 102850.
Sajjad, M.*, Lin, N., & Chan, J. C. (2020). Spatial heterogeneities of current and future hurricane flood risk along the US Atlantic and Gulf coasts. Science of the total environment, 713, 136704.
Sajjad, M.*, & Chan, J. C. (2019). Risk assessment for the sustainability of coastal communities: A preliminary study. Science of the Total Environment, 671, 339-350.
Sajjad, M., Li, Y., Li, Y., Chan, J. C., & Khalid, S. (2019). Integrating typhoon destructive potential and social‐ecological systems toward resilient coastal communities. Earth’s Future, 7(7), 805-818.
Ali, G., Abbas, S., Pan, Y., Chen, Z., Hussain, J., Sajjad, M.*, & Ashraf, A. (2019). Urban environment dynamics and low carbon society: multi-criteria decision analysis modeling for policy makers. Sustainable Cities and Society, 51, 101763.
Sajjad, M., Li, Y., Tang, Z., Cao, L., & Liu, X. (2018). Assessing hazard vulnerability, habitat conservation, and restoration for the enhancement of mainland China’s coastal resilience. Earth’s Future, 6(3), 326-338.
Teaching Fields
- Disaster Risks, Vulnerabilities, and Resilience Management
- Natural Hazards (Meteorological, Hydrological, Geological)
- Geospatial Data Science
- Environmental and Urban Sustainability
- Physical Geography
Research interests
- Traditional and Non-traditional Data Fusion/Coupling for Environmental and Urban Sustainability
- Risk-Resilience-Sustainability Nexus
- Applications of Geospatial Technology, AI & Machine Learning to Environmental & Urban Systems
- Natural Hazards (Floods, Extreme Heat, Droughts), Vulnerabilities, and Risks
- Climate Change Impacts & Resilience
Services/ Posts
- Review Editor for “Environmental Informatics and Remote Sensing”, Frontiers in Environmental Science
- Independent Consultant on Climate Risks, Climate/Nature-related Financial Disclosures (TCFD & TNFD), ESG, CSRD, and Environmental Impact