Best Researcher Award
Muhammad Ovais Akhter
Bahria University, Pakistan
Muhammad Ovais Akhter is a researcher affiliated with Bahria University, Pakistan, whose documented scholarly output includes work spanning artificial intelligence, privacy-preserving computing, sustainable food management, and power-system control. His Scopus record lists 7 documents, 21 citations, and an h-index of 3. [1] His publication record provides evidence of interdisciplinary engagement with computational methods and sustainability-oriented applications.
Abstract
Muhammad Ovais Akhter’s research profile reflects interdisciplinary work involving artificial intelligence, sustainable systems, privacy-preserving computing, and electrical-energy applications. His recent publications address AI-based recommendation, federated learning for sustainable food management, privacy-preserving social clustering, and islanding detection in low-voltage networks. [2] [3] [4] [5]
Keywords
Artificial intelligence; federated learning; sustainable food management; privacy-preserving computing; clustering; power-system control; islanding detection; sustainable systems; environmental applications.
Introduction
The research record associated with Muhammad Ovais Akhter demonstrates a multidisciplinary orientation in which computational approaches are applied to practical technological and sustainability-related problems. The documented publications range from an AI-based makeup recommendation system to federated deep learning for virtual refrigeration and sustainable food management. [2] [3]
Research Profile
Akhter’s documented research profile combines machine learning and data-driven methods with applications requiring privacy, sustainability, recommendation, and system-level control. The listed publications indicate engagement with both emerging computational techniques and engineering applications. His Scopus-indexed record comprises 7 documents with 21 citations and an h-index of 3. [1] The available publication evidence supports a research trajectory that crosses conventional disciplinary boundaries.
Research Contributions
- Development of an AI-based recommendation approach addressing personalized makeup selection. [2]
- Application of federated deep learning to triple-bottom-line optimization and sustainable food-management scenarios. [3]
- Investigation of privacy-preserving clustering for social connection systems. [4]
- Research into islanding detection and control for voltage-source converters in a CIGRE low-voltage network. [5]
Publications
Selected recent publications illustrate the breadth of Akhter’s research activity. These include AI Based Makeup Recommendation System: A Suitable AI Solution for Women, published in VAWKUM Transactions on Computer Sciences in 2026; Federated deep learning for triple bottom line optimization in virtual refrigeration through simulation-based sustainable food management in Sustainable Food Technology; Buddy Finder: A Privacy-Preserving Clustering Approach for Like-Minded Social Connections; and An islanding detection and control algorithm based on CVFR for Voltage Source Converter in CIGRE LV Network. [2] [3] [4] [5]
Research Impact
The available bibliometric record reports 21 citations across 7 Scopus documents and an h-index of 3. [1] These indicators provide a quantitative snapshot of documented scholarly visibility, while the publication topics demonstrate application-oriented research across artificial intelligence, sustainable systems, privacy, and power engineering. Citation indicators should be interpreted in relation to publication age, field, database coverage, and the evolving nature of the research record.
Award Suitability
For consideration under a Best Researcher Award framework, the documented profile provides identifiable evidence of scholarly output, indexed publications, citations, and interdisciplinary research activity. The publication portfolio includes studies addressing sustainability and computational innovation, while the bibliometric record offers measurable indicators for academic assessment. [1] Final recognition should be determined according to the applicable award criteria and evaluation process.
Conclusion
Muhammad Ovais Akhter’s documented research encompasses AI, federated learning, privacy-preserving systems, sustainable management, and electrical-network control. His indexed publication and citation record, together with the range of recent research topics, provides a concise basis for academic recognition and further scholarly evaluation.
External Links
References
- Elsevier. (n.d.). Scopus author details: Muhammad Ovais Akhter, Author ID 57192312169. Scopus.
https://www.scopus.com/authid/detail.uri?authorId=57192312169
- Akhter, M. O. (2026). AI Based Makeup Recommendation System: A Suitable AI Solution for Women. VAWKUM Transactions on Computer Sciences. DOI: 10.21015/vtcs.v14i1.2314.
https://doi.org/10.21015/vtcs.v14i1.2314
- Akhter, M. O. (2026). Federated deep learning for triple bottom line optimization in virtual refrigeration through simulation-based sustainable food management. Sustainable Food Technology. DOI: 10.1039/D5FB00739A.
https://doi.org/10.1039/D5FB00739A
- Akhter, M. O. (2025). Buddy Finder: A Privacy-Preserving Clustering Approach for Like-Minded Social Connections. VAWKUM Transactions on Computer Sciences. DOI: 10.21015/vtcs.v13i2.2289.
https://doi.org/10.21015/vtcs.v13i2.2289
- Akhter, M. O. (2025). An islanding detection and control algorithm based on CVFR for Voltage Source Converter in CIGRE LV Network. Pakistan Journal of Engineering, Technology and Science. DOI: 10.22555/pjets.v13i2.1457.
https://doi.org/10.22555/pjets.v13i2.1457
- ORCID. (n.d.). Muhammad Ovais Akhter — ORCID record.
https://orcid.org/0000-0002-8928-4489
- International Forensic Scientist Awards. (n.d.). Official Award Website.
forensicscientist.org
