Muhammad Ovais Akhter | Environmental and Sustainable Materials | Best Researcher Award

Published on by Forensic Scientist Awards

Best Researcher Award

Muhammad Ovais Akhter
Bahria University, Pakistan

Muhammad Ovais Akhter
Affiliation Bahria University
Country Pakistan
Scopus ID 57192312169
Documents 7
Citations 21
h-index 3
Subject Area Environmental and Sustainable Materials
Event International Forensic Scientist Awards
ORCID 0000-0002-8928-4489

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.

References

  1. Elsevier. (n.d.). Scopus author details: Muhammad Ovais Akhter, Author ID 57192312169. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57192312169
  2. 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
  3. 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
  4. 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
  5. 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
  6. ORCID. (n.d.). Muhammad Ovais Akhter — ORCID record.
    https://orcid.org/0000-0002-8928-4489
  7. International Forensic Scientist Awards. (n.d.). Official Award Website.
    forensicscientist.org

Ghazala Ashraf | Chemistry and Materials Science | Best Researcher Award

Published on by Forensic Scientist Awards

Dr. Ghazala Ashraf | Chemistry and Materials Science | Best Researcher Award

Fudan University | China

Dr. Ghazala Ashraf is a Pakistani postdoctoral researcher (age 32) based in Shanghai, China, with expertise in nanomaterials, biosensing, and wearable diagnostics. With a Ph.D. from Huazhong University of Science and Technology (HUST) and postdoc roles at Fudan University and HUST, she has published extensively in top journals (Advanced Materials, Nature Communications, ACS Applied Materials & Interfaces). Her work focuses on innovative sensor technologies for healthcare and environmental monitoring.

Professional profile👤

ORCID

Google Scholar

Scopus

Strengths for the Awards✨

  1. Strong Academic and Research Background

    • Holds a PhD in Analytical Chemistry from Huazhong University of Science and Technology (HUST) and has 4+ years of postdoctoral experience at prestigious institutions (HUST and Fudan University).

    • Research spans nanomaterials, biosensing, wearable diagnostics, and electrochemical sensors, aligning with cutting-edge scientific advancements.

  2. High-Quality Publications in Top-Tier Journals

    • First-author publications in high-impact journals (e.g., Advanced Materials, Nature Communications, Journal of Hazardous Materials, ACS Applied Materials & Interfaces, Chemical Engineering Journal).

    • Multiple co-authored papers in Q1 journals, demonstrating collaborative research strength.

    • Google Scholar profile shows consistent citations, indicating research impact.

  3. Innovative Research Contributions

    • Developed nanomaterial-integrated microneedle patches for real-time biomarker monitoring (e.g., L-Cysteine detection).

    • Worked on MOFs, 2D materials, and nanozymes for biosensing applications, contributing to early disease diagnostics.

    • Explored wearable and microfluidic devices, a rapidly growing field in personalized healthcare.

  4. Leadership and Collaboration

    • Principal Investigator (PI) for postdoctoral research projects, securing funding and leading research directions.

    • Active collaborations with Fudan University, HUST, and international researchers.

    • Mentored PhD and Master’s students, contributing to academic development.

  5. Recognition and Awards

    • Recipient of prestigious scholarships (CSC PhD scholarship, HUST Academic Excellence Award).

    • Keynote speaker at international conferences, showcasing thought leadership in nanomaterials and biosensing.

    • Review editor and journal reviewer, contributing to peer review in analytical chemistry.

Education 🎓

  • Ph.D. in Analytical Chemistry (2020): Huazhong University of Science and Technology (HUST), China.

  • M.Sc. in Analytical Chemistry (2016): Government College University, Faisalabad, Pakistan.

Experience 💼

  • Postdoctoral Researcher (2023–present): Fudan University, Shanghai.

  • Postdoctoral Researcher (2020–2023): HUST, Wuhan.

  • Research Associate (2013–2017): National Institute for Biotechnology and Genetic Engineering (NIBGE), Pakistan.

Research Interests On Chemistry and Materials Science 🔍

  • Nanomaterials for Biosensing: MOFs, 2D materials, and green-engineered nanostructures for detecting biomarkers/pathogens.

  • Wearable Diagnostics: Microneedle-based devices for real-time health monitoring.

  • Electrochemical/Optical Sensors: Early disease detection and environmental analysis.

Awards & Honors 🏆

  • CSC Ph.D. Scholarship (2017–2020, China).

  • HUST Academic Excellence Award (2019).

  • HUST Honorary International Graduate Award (2020).

  • Provincial Merit Scholarship (Pakistan, 2012).

Publications 📜

Title: Hierarchical CNTs@CuMn Layered Double Hydroxide Nanohybrid with Enhanced Electrochemical Performance in H2S Detection from Live Cells
Authors: M Asif, A Aziz, Z Wang, G Ashraf, J Wang, H Luo, X Chen, F Xiao, H Liu
Year: 2019
Citations: 158

Title: A review on electrochemical biosensing platform based on layered double hydroxides for small molecule biomarkers determination
Authors: M Asif, A Aziz, M Azeem, Z Wang, G Ashraf, F Xiao, X Chen, H Liu
Year: 2018
Citations: 138

Title: The role of biosensors in coronavirus disease-2019 outbreak
Authors: M Asif, M Ajmal, G Ashraf, N Muhammad, A Aziz, T Iftikhar, J Wang, H Liu
Year: 2020
Citations: 137

Title: Self-stacking of exfoliated charged nanosheets of LDHs and graphene as biosensor with real-time tracking of dopamine from live cells
Authors: A Aziz, M Asif, M Azeem, G Ashraf, Z Wang, F Xiao, H Liu
Year: 2019
Citations: 114

Title: Advancements in electrochemical sensing of hydrogen peroxide, glucose and dopamine by using 2D nanoarchitectures of layered double hydroxides or metal dichalcogenides. A review
Authors: A Aziz, M Asif, G Ashraf, M Azeem, I Majeed, M Ajmal, J Wang, H Liu
Year: 2019
Citations: 108

Title: Facet-inspired core–shell gold nanoislands on metal oxide octadecahedral heterostructures: high sensing performance toward sulfide in biotic fluids
Authors: M Asif, A Aziz, G Ashraf, Z Wang, J Wang, M Azeem, X Chen, F Xiao, …
Year: 2018
Citations: 96

Title: Tuning Electrocatalytic Aptitude by Incorporating α-MnO2 Nanorods in Cu-MOF/rGO/CuO Hybrids: Electrochemical Sensing of Resorcinol for Practical Applications
Authors: T Iftikhar, Y Xu, A Aziz, G Ashraf, G Li, M Asif, F Xiao, H Liu
Year: 2021
Citations: 89

Title: Rice-Spikelet-like Copper Oxide Decorated with Platinum Stranded in the CNT Network for Electrochemical In Vitro Detection of Serotonin
Authors: G Ashraf, M Asif, A Aziz, T Iftikhar, H Liu
Year: 2021
Citations: 87

Title: Unveiling microbiologically influenced corrosion engineering to transfigure damages into benefits: a textile sensor for H2O2 detection in clinical cancer tissues
Authors: M Asif, A Aziz, G Ashraf, T Iftikhar, Y Sun, F Xiao, H Liu
Year: 2022
Citations: 76

Title: Trends in biosensing platforms for SARS-CoV-2 detection: A critical appraisal against standard detection tools
Authors: A Aziz, M Asif, G Ashraf, U Farooq, Q Yang, S Wang
Year: 2021
Citations: 58

Title: Engineering MOFs derived metal oxide nanohybrids: Towards electrochemical sensing of catechol in tea samples
Authors: T Iftikhar, A Aziz, G Ashraf, Y Xu, G Li, T Zhang, M Asif, F Xiao, H Liu
Year: 2022
Citations: 45

Title: Topical advances in nanomaterials based electrochemical sensors for resorcinol detection
Authors: T Iftikhar, M Asif, A Aziz, G Ashraf, S Jun, G Li, H Liu
Year: 2021
Citations: 45

Title: Boosting electrocatalytic activity of carbon fiber@ fusiform-like copper-nickel LDHs: Sensing of nitrate as biomarker for NOB detection
Authors: A Aziz, M Asif, G Ashraf, T Iftikhar, J Hu, F Xiao, S Wang
Year: 2022
Citations: 44

Conclusion 🌟

Dr. Ghazala Ashraf is a dynamic researcher bridging nanotechnology and diagnostics, with accolades from China and Pakistan. Her pioneering work in wearable sensors and nanomaterials holds promise for personalized medicine and environmental safety. She actively mentors students and collaborates globally, driving innovation in analytical chemistry.