M Sajjad
Biographic Data
| ID | 67424 |
|---|---|
| NAME | M Sajjad |
| GIVEN NAMES | M |
| FAMILY NAME | Sajjad |
| SIGNATURE | SAJJAD M |
| AFFILIATIONS | Hong Kong Baptist University |
| ORCID | 0000-0002-1576-1342 |
| VERIFIED | Yes |
| TOTAL WORKS | 13 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 13 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
High-resolution flood susceptibility mapping and exposure assessment in Pakistan
Flood-related disasters have far-reaching impacts on infrastructure and societal well-being. Though characterizing flood susceptibilities using state-of-the-art approaches and modelling socio-economic exposure to highlight vulnerabilities is essential to assess and manage flood-associated risks, current studies are usually regional/coarser resolutions neglecting localized situations. Here we developed an integrated machine learning, artificial in…
Modelling pandemic-induced spatially heterogeneous patterns in income shock, food insecurity and their driving factors
While pandemic-related income shock (IS) compromises societal well-being by leading to food insecurity (FI) in developing countries, evaluating the spatial inequities of IS, FI, and their significant driving factors is imperative for informed and targeted interventions. In this context, we explore spatial disparities in IS and FI, model significant factors driving IS, and examine the potential association between FI and IS in Pakistan—a nation wi…
Significant Attribution of Urbanization to Triggering Extreme Rainfall in the Urban Core—A Case of Dallas–Fort Worth in North Texas
While rainfall occurs for several reasons, climate change and urbanization influence its frequency and geographical disparities. Although recent research suggests that urbanization may lead to increased rainfall, insights into how urbanization can trigger rainfall remain limited. We selected the Dallas–Fort Worth (DFW) metroplex, which has minimal orographic and coastal influences, to analyze the urban impact on rainfall. DFW was divided into 256…
A global outlook on multi-hazard risk analysis
On the emergence of geospatial cloud-based platforms for disaster risk management
Leveraging machine learning and remote sensing to monitor long-term spatial-temporal wetland changes
Three research priorities for just and sustainable urban systems
Now is the time to refocus efforts in urban research and design. A changing climate and extreme weather events are presenting unique challenges to urban systems around the world. These challenges illuminate the social barriers that accompany disruptive events such as resource inequities and injustices. In this perspective, we provide three research priorities for just and sustainable urban systems that help to address these matters. The three res…
Spatial inequalities in education status and its determinants in Pakistan
Assessing Response Readiness to Health Emergencies
Disaster resilience in Pakistan
Rethinking disaster resilience in high-density cities
Integrating Spatial Modelling and Space–Time Pattern Mining Analytics for Vector Disease-Related Health Perspectives
The spatial-temporal assessment of vector diseases is imperative to design effective action plans and establish preventive strategies. Therefore, such assessments have potential public health planning-related implications. In this context, we here propose an integrated spatial disease evaluation (I-SpaDE) framework. The I-SpaDE integrates various techniques such as the Kernel Density Estimation , the Optimized Hot Spot Analysis , space-time asses…
Incorporating natural habitats into coastal risk assessment frameworks
Incorporating natural habitats into coastal risk assessment frameworks
Disaster resilience in Pakistan
Rethinking disaster resilience in high-density cities
Integrating Spatial Modelling and Space–Time Pattern Mining Analytics for Vector Disease-Related Health Perspectives
The spatial-temporal assessment of vector diseases is imperative to design effective action plans and establish preventive strategies. Therefore, such assessments have potential public health planning-related implications. In this context, we here propose an integrated spatial disease evaluation (I-SpaDE) framework. The I-SpaDE integrates various techniques such as the Kernel Density Estimation , the Optimized Hot Spot Analysis , space-time asses…
Spatial inequalities in education status and its determinants in Pakistan
Assessing Response Readiness to Health Emergencies
A global outlook on multi-hazard risk analysis
On the emergence of geospatial cloud-based platforms for disaster risk management
Leveraging machine learning and remote sensing to monitor long-term spatial-temporal wetland changes
Three research priorities for just and sustainable urban systems
Now is the time to refocus efforts in urban research and design. A changing climate and extreme weather events are presenting unique challenges to urban systems around the world. These challenges illuminate the social barriers that accompany disruptive events such as resource inequities and injustices. In this perspective, we provide three research priorities for just and sustainable urban systems that help to address these matters. The three res…
High-resolution flood susceptibility mapping and exposure assessment in Pakistan
Flood-related disasters have far-reaching impacts on infrastructure and societal well-being. Though characterizing flood susceptibilities using state-of-the-art approaches and modelling socio-economic exposure to highlight vulnerabilities is essential to assess and manage flood-associated risks, current studies are usually regional/coarser resolutions neglecting localized situations. Here we developed an integrated machine learning, artificial in…
Modelling pandemic-induced spatially heterogeneous patterns in income shock, food insecurity and their driving factors
While pandemic-related income shock (IS) compromises societal well-being by leading to food insecurity (FI) in developing countries, evaluating the spatial inequities of IS, FI, and their significant driving factors is imperative for informed and targeted interventions. In this context, we explore spatial disparities in IS and FI, model significant factors driving IS, and examine the potential association between FI and IS in Pakistan—a nation wi…
Significant Attribution of Urbanization to Triggering Extreme Rainfall in the Urban Core—A Case of Dallas–Fort Worth in North Texas
While rainfall occurs for several reasons, climate change and urbanization influence its frequency and geographical disparities. Although recent research suggests that urbanization may lead to increased rainfall, insights into how urbanization can trigger rainfall remain limited. We selected the Dallas–Fort Worth (DFW) metroplex, which has minimal orographic and coastal influences, to analyze the urban impact on rainfall. DFW was divided into 256…
Geography (12 works) · Environmental resource management (8 works) · Computer Science (7 works) · Environmental Science (6 works) · Flood Risk Assessment and Management (6 works) · Cartography (4 works) · Disaster Management and Resilience (4 works) · Economics (4 works) · Engineering (4 works) · Economic growth (3 works)