Emmanuel Ukekwe | Data Analytics | Best Researcher Award

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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.

Reymark Delena | Data Analytics | Best Researcher Award

Published on by Computer Vision Awards

Assist. Prof. Dr. Reymark Delena | Data Analytics | Best Researcher Award

Assistant Professor | Mindanao State University – Iligan Institute of Technology | Philippines

Assist. Prof. Dr. Reymark Delena is a dedicated researcher and academic with expertise in machine learning, IoT, climate informatics, data analytics, and smart systems. He earned a Master of Science in Information Technology from De La Salle University and a Bachelor’s degree in Information Systems from the University of Southern Mindanao, further supported by vocational training in ICT. He has served in various academic roles including Instructor, Assistant Professor, and currently contributes as a Senior Consultant in Smart Agriculture at PhilRice, while also engaging in teaching and mentoring at MSU. His professional journey includes roles as a software engineer and developer, providing him with a strong foundation in practical system development alongside research. His research interests cover smart agriculture, early detection systems, educational technologies, and sustainable digital solutions. He has actively participated in national and international conferences, presented research papers, and collaborated on funded projects such as RiceProTek and early fungal detection systems, reflecting his commitment to applied research with societal benefits. He possesses strong skills in programming, mobile and web development, data visualization, AI modeling, and technology management, making him versatile across academic and industry domains. His contributions have been recognized through invited talks, community workshops, and research forums, highlighting his academic leadership and service. His growing research impact is evident with 4 citations by 4 documents, 6 documents, and an h-index of 1.

Profile: Google Scholar | Scopus | ORCID

Featured Publications

  1. Ampuan, A. D., & Deleña, R. D. (2024). A quantitative evaluation of online appointment system at Mindanao State University–Main Campus: Employing the system usability scale (SUS) and technology acceptance model (TAM). Proceedings of the 3rd International Conference on Digital Transformation and Applications (ICDXA).

  2. Delena, R. D., Tangkeko, M. S., & Sieras, J. C. (2023). From climate to crop: Unveiling the impact of agro-climate dataset on rice yield in Cotabato Province. Data in Brief, 51, 109754.

  3. Delena, R. D., Tangkeko, M. S., Ampuan, A. D., & Sieras, J. C. (2023). ARP Cotabato: Exploring seasonal climate and rice production in Cotabato Province through advanced data visualization and rapid analytics. Software Impacts, 17, 100546.

  4. Dia, N. J., Sieras, J. C., Khalid, S. A., Macatotong, A. H. T., Mondejar, J. M., & Delena, R. D. (2025). EduGuard RetainX: An advanced analytical dashboard for predicting and improving student retention in tertiary education. SoftwareX, 29, 102057.

  5. Gulam, S. B., & Delena, R. D. (2024). The development of a web-based Meranaw language lexicon using a rule-based morphological analyzer for Meranaw verbs: Dindiyorobasa App. Proceedings of the 3rd International Conference on Digital Transformation and Applications (ICDXA).

Dr. Moorthi K | Data Analytics | Best Researcher Award

Published on by Computer Vision Awards

Dr. Moorthi K, Data Analytics, Best Researcher Award

Doctorate at Dr.N.G.P. Institute of Technology, India

Professional Profile

🌟 Summary:

Dr. K. Moorthi is an Associate Professor at Dr. N.G.P. Institute of Technology with 16 years of teaching and 1 year of industry experience. He holds a Ph.D. in Information and Communication Engineering from Anna University, Chennai, specializing in the impact of data science on the e-commerce industry. Dr. Moorthi has published extensively, with several papers indexed in Scopus, and holds multiple patents.

🎓 Education:

  • Ph.D. in Information and Communication Engineering, Anna University, Chennai, 2019
  • Masters in Software Engineering, 2010

💼 Professional Experience:

  • Associate Professor, Dr. N.G.P. Institute of Technology

🔬 Research Interests:

  • Data Science, specifically focusing on the e-commerce industry

📖 Publications Top Noted:

Paper Title: Electric Vehicles Charging System for Fast and Safe Charging using LSTM based Gradient Boosted Regression Tree
  • Authors: Moorthi, K.; Chougale, R.K.; Patel, P.A.; Raj, A.; Gangat, M.S.
  • Pages: 1289–1294
  • Year: 2023
  • Citations: 4
Paper Title: XAI Based Intelligent Systems for Society 5.0
  • Authors: Kiruthika, M.; Moorthi, K.; Anousouya Devi, M.; Abijah Roseline, S.
  • Pages: 295–326
  • Year: 2023
Paper Title: Human Activity Recognition in Video Surveillance Using Long-Term Recurrent Convolutional Network
  • Authors: Moorthi, K.; Kiruthika, M.; Sharan, S.; Muleva, A.
  • Pages: 1477–1482
  • Year: 2023
Paper Title: Novel Method for Recognizing Sign Language using Regularized Extreme Learning Machine
  • Authors: Moorthi, K.; Asokan, A.; Sri Sathya, K.B.; Kalpana, V.; Rastogi, R.
  • Pages: 434–440
  • Year: 2023
Paper Title: Improving business process by predicting customer needs based on seasonal analysis: The role of big data in e-commerce
  • Authors: Moorthi, K.; Srihari, K.; Karthik, S.
  • Journal: International Journal of Business Excellence
  • Pages:561–574
  • Year: 2020
  • Citations: 3