Bilal Aslam
Biographic Data
| ID | 6885315 |
|---|---|
| NAME | Bilal Aslam |
| GIVEN NAMES | Bilal |
| FAMILY NAME | Aslam |
| SIGNATURE | ASLAM B |
| AFFILIATIONS | Quaid-i-Azam University |
| ORCID | 0000-0001-7308-5285 |
| VERIFIED | Yes |
| TOTAL WORKS | 11 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 11 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Interconnections Between Economic Growth, Human, and Sustainable Development
Environmental sustainability constitutes a foundational prerequisite for sustained economic growth and social well‐being; however, rising carbon emissions remain a pressing global concern. Despite substantial engagement with the Environmental Kuznets Curve (EKC) hypothesis, existing literature inadequately addresses the roles of human and sustainable development in shaping carbon intensity trajectories. This study investigates the non‐linear effe…
AMR and Sustainable Development Goals
Antimicrobial resistance (AMR) poses a significant global health threat, primarily stemming from its misuse and overuse in both veterinary and public healthcare systems. The consequences of AMR are severe, leading to more severe infections, increased health protection costs, prolonged hospital stays, unresponsive treatments, and elevated fatality rates. The impact of AMR is direct and far-reaching, particularly affecting the Sustainable Developme…
Assessment of the Climate Trace global powerplant CO 2 emissions
Accurate estimation of planetary greenhouse gas (GHG) emissions at the scale of individual emitting activities is a critical need for both scientific and policy applications. Powerplants represent the single largest and most concentrated form of global GHG emissions. Climate Trace, co-founded and promoted by former U.S. Vice President Al Gore, is a new effort using, in part, artificial intelligence (AI) approaches to estimate asset-scale GHG emis…
Forecasting Construction Cost Index through Artificial Intelligence
This study presents a novel approach for forecasting the construction cost index (CCI) of building materials in developing countries. Such estimations are challenging due to the need for a longer time, the influence of inflation, and fluctuating project prices in developing countries. This study used three techniques—a modified Artificial Neural Network (ANN), time series, and linear regression—to predict and forecast the local building material …
Exploring the Nexus between Resource-Scarcity and Violent Conflict in Pakistan
The quintessential consideration of the resource-scarcity and violent conflict relationship is crucial as the increasing scarcity of the natural resources globally is expected to result into a fierce competition among the states and may escalate into violent conflicts. This paper underscores the significant factors contributing to the intra-stare violent conflicts in Pakistan based on the global environmental flashpoints and uses the qualitative …
Comparison of multiple conventional and unconventional machine learning models for landslide susceptibility mapping of Northern part of Pakistan
Urban Overheating Assessment through Prediction of Surface Temperatures
Global climate has been radically affected by the urbanization process in recent years. Karachi, Pakistan’s economic hub, is also showing signs of swift urbanization. Owing to the construction of infrastructure projects under the China-Pakistan Economic Corridor (CPEC) and associated urbanization, Karachi’s climate has been significantly affected. The associated replacement of natural surfaces by anthropogenic materials results in urban overheati…
Health Conditions, Lifestyle Factors and Depression in Adults in Qingdao, China
Background: Depression is a common mental illness. Previous studies suggested that health conditions and lifestyle factors were associated with depression. However, only few studies have explored the risk factors of depression in a large representative sample of the general population in the world. Methods: A population-based cross-sectional survey was conducted in the 2006 survey and 2009 survey in Qingdao, China. The participants with insuffici…
A GIS-based DRASTIC Model and an Adjusted DRASTIC Model (DRASTICA) for Groundwater Susceptibility Assessment along the China–Pakistan Economic Corridor (CPEC) Route
Land use types and anthropogenic activities represent considerable threats to groundwater pollution. To effectively monitor the groundwater quality, it is vital to measure pollution levels before they become severe. In our research area, located in Gilgit Baltistan in northern Pakistan, groundwater supplies are diminishing due to urban sprawl. In this study, we used a GIS-based DRASTIC model (Depth to water, Recharge, Aquifer media, Soil media, T…
Geospatial Assessment of Soil Erosion Intensity and Sediment Yield Using the Revised Universal Soil Loss Equation (Rusle) Model
Land degradation caused by soil erosion is considered among the most severe problems of the 21stcentury. It poses serious threats to soil fertility, food availability, human health, and the world ecosystem. The purpose of the study is to make a quantitative mapping of soil loss in the Chitral district, Pakistan. For the estimation of soil loss in the study area, the Revised Universal Soil Loss Equation (RUSLE) model was used in combination with R…
First Report of bla CTX-M-15-Type ESBL-Producing Klebsiella pneumoniae in Wild Migratory Birds in Pakistan
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First Report of bla CTX-M-15-Type ESBL-Producing Klebsiella pneumoniae in Wild Migratory Birds in Pakistan
A GIS-based DRASTIC Model and an Adjusted DRASTIC Model (DRASTICA) for Groundwater Susceptibility Assessment along the China–Pakistan Economic Corridor (CPEC) Route
Land use types and anthropogenic activities represent considerable threats to groundwater pollution. To effectively monitor the groundwater quality, it is vital to measure pollution levels before they become severe. In our research area, located in Gilgit Baltistan in northern Pakistan, groundwater supplies are diminishing due to urban sprawl. In this study, we used a GIS-based DRASTIC model (Depth to water, Recharge, Aquifer media, Soil media, T…
Geospatial Assessment of Soil Erosion Intensity and Sediment Yield Using the Revised Universal Soil Loss Equation (Rusle) Model
Land degradation caused by soil erosion is considered among the most severe problems of the 21stcentury. It poses serious threats to soil fertility, food availability, human health, and the world ecosystem. The purpose of the study is to make a quantitative mapping of soil loss in the Chitral district, Pakistan. For the estimation of soil loss in the study area, the Revised Universal Soil Loss Equation (RUSLE) model was used in combination with R…
Urban Overheating Assessment through Prediction of Surface Temperatures
Global climate has been radically affected by the urbanization process in recent years. Karachi, Pakistan’s economic hub, is also showing signs of swift urbanization. Owing to the construction of infrastructure projects under the China-Pakistan Economic Corridor (CPEC) and associated urbanization, Karachi’s climate has been significantly affected. The associated replacement of natural surfaces by anthropogenic materials results in urban overheati…
Health Conditions, Lifestyle Factors and Depression in Adults in Qingdao, China
Background: Depression is a common mental illness. Previous studies suggested that health conditions and lifestyle factors were associated with depression. However, only few studies have explored the risk factors of depression in a large representative sample of the general population in the world. Methods: A population-based cross-sectional survey was conducted in the 2006 survey and 2009 survey in Qingdao, China. The participants with insuffici…
Exploring the Nexus between Resource-Scarcity and Violent Conflict in Pakistan
The quintessential consideration of the resource-scarcity and violent conflict relationship is crucial as the increasing scarcity of the natural resources globally is expected to result into a fierce competition among the states and may escalate into violent conflicts. This paper underscores the significant factors contributing to the intra-stare violent conflicts in Pakistan based on the global environmental flashpoints and uses the qualitative …
Comparison of multiple conventional and unconventional machine learning models for landslide susceptibility mapping of Northern part of Pakistan
Forecasting Construction Cost Index through Artificial Intelligence
This study presents a novel approach for forecasting the construction cost index (CCI) of building materials in developing countries. Such estimations are challenging due to the need for a longer time, the influence of inflation, and fluctuating project prices in developing countries. This study used three techniques—a modified Artificial Neural Network (ANN), time series, and linear regression—to predict and forecast the local building material …
AMR and Sustainable Development Goals
Antimicrobial resistance (AMR) poses a significant global health threat, primarily stemming from its misuse and overuse in both veterinary and public healthcare systems. The consequences of AMR are severe, leading to more severe infections, increased health protection costs, prolonged hospital stays, unresponsive treatments, and elevated fatality rates. The impact of AMR is direct and far-reaching, particularly affecting the Sustainable Developme…
Assessment of the Climate Trace global powerplant CO 2 emissions
Accurate estimation of planetary greenhouse gas (GHG) emissions at the scale of individual emitting activities is a critical need for both scientific and policy applications. Powerplants represent the single largest and most concentrated form of global GHG emissions. Climate Trace, co-founded and promoted by former U.S. Vice President Al Gore, is a new effort using, in part, artificial intelligence (AI) approaches to estimate asset-scale GHG emis…
Interconnections Between Economic Growth, Human, and Sustainable Development
Environmental sustainability constitutes a foundational prerequisite for sustained economic growth and social well‐being; however, rising carbon emissions remain a pressing global concern. Despite substantial engagement with the Environmental Kuznets Curve (EKC) hypothesis, existing literature inadequately addresses the roles of human and sustainable development in shaping carbon intensity trajectories. This study investigates the non‐linear effe…
Environmental Science (4 works) · Geography (4 works) · Geology (4 works) · Computer Science (3 works) · Engineering (3 works) · Medicine (3 works) · Climate change (2 works) · Climatology (2 works) · Geotechnical engineering (2 works) · Groundwater and Watershed Analysis (2 works)