Romana Khan
Biographic Data
| ID | 6071108 |
|---|---|
| NAME | Romana Khan |
| GIVEN NAMES | Romana |
| FAMILY NAME | Khan |
| SIGNATURE | KHAN R |
| AFFILIATIONS | COMSATS University Islamabad |
| ORCID | 0000-0002-9189-3507 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 2 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Project Management Methodologies of International Development Agencies and the Concept of Sustainable Project Management
This research explores to what extent the ideas and notions of sustainable project management (SPM) are reflected in the project management methodologies of three selected international development agencies. A conceptual framework is developed, and a deductive content analysis is performed. The findings reveal varying degrees of integration across the agencies and different aspects of SPM. Key aspects such as social and environmental sustainabili…
Promising Low-Cost Adsorbent from Waste Green Tea Leaves for Phenol Removal in Aqueous Solution
Phenol is the most common organic pollutant in many industrial wastewaters that may pose a health risk to humans due to its widespread application as industrial ingredients and additives. In this study, waste green tea leaves (WGTLs) were modified through chemical activation/carbonization and used as an adsorbent in the presence of ultrasound (cavitation) to eliminate phenol in the aqueous solution. Different treatments, such as cavitation, adsor…
Machine Learning for Social Services
Objectives. To evaluate the positive predictive value of machine learning algorithms for early assessment of adverse birth risk among pregnant women as a means of improving the allocation of social services. Methods. We used administrative data for 6457 women collected by the Illinois Department of Human Services from July 2014 to May 2015 to develop a machine learning model for adverse birth prediction and improve upon the existing paper-based r…
Machine Learning for Social Services
Objectives. To evaluate the positive predictive value of machine learning algorithms for early assessment of adverse birth risk among pregnant women as a means of improving the allocation of social services. Methods. We used administrative data for 6457 women collected by the Illinois Department of Human Services from July 2014 to May 2015 to develop a machine learning model for adverse birth prediction and improve upon the existing paper-based r…
Machine Learning for Social Services
Objectives. To evaluate the positive predictive value of machine learning algorithms for early assessment of adverse birth risk among pregnant women as a means of improving the allocation of social services. Methods. We used administrative data for 6457 women collected by the Illinois Department of Human Services from July 2014 to May 2015 to develop a machine learning model for adverse birth prediction and improve upon the existing paper-based r…
Promising Low-Cost Adsorbent from Waste Green Tea Leaves for Phenol Removal in Aqueous Solution
Phenol is the most common organic pollutant in many industrial wastewaters that may pose a health risk to humans due to its widespread application as industrial ingredients and additives. In this study, waste green tea leaves (WGTLs) were modified through chemical activation/carbonization and used as an adsorbent in the presence of ultrasound (cavitation) to eliminate phenol in the aqueous solution. Different treatments, such as cavitation, adsor…
Project Management Methodologies of International Development Agencies and the Concept of Sustainable Project Management
This research explores to what extent the ideas and notions of sustainable project management (SPM) are reflected in the project management methodologies of three selected international development agencies. A conceptual framework is developed, and a deductive content analysis is performed. The findings reveal varying degrees of integration across the agencies and different aspects of SPM. Key aspects such as social and environmental sustainabili…
Adsorption (1 work) · Adsorption and biosorption for pollutant removal (1 work) · Advanced oxidation water treatment (1 work) · Aqueous solution (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence (1 work) · Carbonization (1 work) · Chemical Engineering (1 work) · Chemical oxygen demand (1 work) · Chemistry (1 work)