Usama Aslam | Benchmark Datasets and Evaluation Methods | Research Excellence Award

Published on by Computer Vision Awards

Mr. Usama Aslam | Benchmark Datasets and Evaluation Methods | Research Excellence Award

Southeast University | China

Mr. Usama Aslam is an emerging researcher in Electrical Engineering at Southeast University, specializing in cyber-physical power systems, smart grid security, and Virtual Power Plants (VPP). He has authored and co-authored multiple publications, including peer-reviewed journal articles and several under-review works in leading outlets such as Elsevier and IEEE, with a growing citation record. His research integrates artificial intelligence, optimization, and energy systems to enhance grid resilience, battery longevity, and renewable integration. Through international collaborations, his work contributes to developing secure, efficient, and sustainable energy infrastructures, addressing critical challenges in modern power systems and supporting global energy transition goals.

Citation Metrics (Scopus)

15

10

5

0

Citations
10

Documents
6

h-index
2

🟦 Citations 🟥 Documents 🟩 h-index

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Featured Publications


Dual closed-loop vector PI control and deadbeat current control of permanent magnet synchronous motor.

– Sukkur IBA Journal of Emerging Technologies, 7(2), 40–56. (2024). Cited By; 5

Optimal scheduling of electric vehicle aggregators in residential areas: A cost minimization approach.

– Sukkur IBA Journal of Emerging Technologies, 8(1), 62–69. (2026). Cited By: 4

Emmanuel Ukekwe | Data Analytics | Best Researcher Award

Published on by Computer Vision Awards

Dr. Emmanuel Ukekwe | Data Analytics | Best Researcher Award

Senior Lecturer | University of Nigeria | Nigeria

Dr. Emmanuel Ukekwe is a dedicated researcher and academic with expertise in artificial intelligence, expert systems, data science, computational programming, and software engineering, with a focus on applying intelligent technologies to solve societal problems. He obtained his Bachelor of Science in Computer/Statistics, Master of Science, and Ph.D. in Computer Science from the University of Nigeria, Nsukka, where he has grown into a respected lecturer and researcher. His professional journey includes roles as Senior Lecturer, Lecturer, and Instructor, as well as administrative positions such as Acting Head of Department and Acting Dean, demonstrating both academic and leadership excellence. His research interests span the application of machine learning and Python programming in data-driven problem solving, optimization models, recommender systems, and educational technologies. He has published extensively in recognized journals and conferences indexed in Scopus, covering healthcare systems, telecommunications, student performance, and COVID-19 analytics. He has been actively involved in university committees, curriculum development, and community-based research projects, and is a member of organizations such as the National Biotechnology Development Agency and the Technical Committee on UNESCO-HP projects. His skills include statistical analysis, software development, and advanced computational modeling, reflecting strong technical and analytical capabilities. His academic and research contributions have been recognized with professional memberships and community service engagements, marking him as an influential contributor to both academia and society. His research profile records 4 citations, 8 documents, and an h-index of 1.

Profiles: Google Scholar | Scopus | ORCID | ResearchGate

Featured Publications

  1. Okereke, G. E., Bali, M. C., Okwueze, C. N., Ukekwe, E. C., Echezona, S. C., & Ugwu, C. I. (2023). K-means clustering of electricity consumers using time-domain features from smart meter data. Journal of Electrical Systems and Information Technology, 10(1), 2.

  2. Ukekwe, E. C., Obayi, A. A., Johnson, A., Musa, D. A., & Agbo, J. C. (2025). Optimizing data and voice service delivery for mobile phones based on clients’ demand and location using affinity propagation machine learning. Journal of the Nigerian Society of Physical Sciences, 7(2), 2109.

  3. Ukekwe, E. C., Ezeora, N. J., Obayi, A. A., Asogwa, C. N., Ezugwu, A. O., Adegoke, F. O., Raiyetumbi, J., & Tenuche, B. (2025). Examining the impact of mathematics ancillary courses on computational programming intelligence of computer science students using machine learning techniques. Computer Applications in Engineering Education, 33(4), e70054.

  4. Ukekwe, E. C., Ogbonna, G. U. G., Adegoke, F. O., Okereke, G. E., & Asogwa, C. N. (2023). Clustering Nigeria’s IDP camps for effective budgeting and re-settlement policies using an optimized K-means approach. African Conflict & Peacebuilding Review, 13(2), 60–85.

  5. Okereke, G. E., Azegba, O., Ukekwe, E. C., Echezona, S. C., & Eneh, A. (2023). An automated guide to COVID-19 and future pandemic prevention and management. Journal of Electrical Systems and Information Technology, 10(1), 16.