Ebenezer Esenogho | Computer Science | Research Excellence Award

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Prof. Ebenezer Esenogho | Computer Science | Research Excellence Award

University of South Africa | South Africa

Prof. Ebenezer Esenogho is a Professor and Head of the Centre for Artificial Intelligence and Multidisciplinary Innovation Studies at the University of South Africa, specializing in artificial intelligence, telecommunications, and emerging network technologies. He holds academic qualifications in computer engineering and advanced degrees in electronics and telecommunications engineering. His professional career spans teaching, research, and leadership roles across multiple universities, where he has contributed to curriculum development, postgraduate supervision, and multidisciplinary research initiatives. His research interests include machine learning, wireless communication systems, medical AI, and sustainable computing, with numerous peer-reviewed publications and conference contributions. He has received several competitive research grants and fellowships and holds a National Research Foundation rating, reflecting international recognition. He also serves in editorial and academic leadership capacities, supporting research development and collaboration.

Professional Profile

Education

Prof. Ebenezer Esenogho has a strong academic background in computer engineering, electronics, and telecommunications. He began with foundational training in computer engineering, developing core technical competencies in computing systems and digital technologies. He advanced to a bachelor’s degree that strengthened his analytical and engineering design skills, followed by a master’s degree focused on electronics and telecommunications engineering, where he gained deeper expertise in communication systems and signal processing. He later earned a doctoral degree in electronic engineering, with a research focus on advanced wireless networks and intelligent communication systems. His academic journey reflects a consistent progression toward specialization in cutting-edge technologies such as artificial intelligence and next-generation communication systems. This solid educational foundation has enabled him to integrate theoretical knowledge with practical innovation, preparing him for impactful research, teaching, and leadership in multidisciplinary and technology-driven environments.

Professional Experience

Prof. Esenogho has built a distinguished academic and research career across several reputable institutions, progressing from lecturer to senior academic and research leadership roles. He has contributed extensively to teaching undergraduate and postgraduate students, curriculum development, and supervision of advanced research projects. His leadership experience includes coordinating research programs, mentoring emerging scholars, and contributing to institutional strategic initiatives in technology and innovation. He has also been involved in international academic engagements and collaborative projects, supporting knowledge exchange and capacity building. In addition to teaching, he has played key roles in developing academic programs and strengthening research frameworks in engineering and artificial intelligence. His experience extends to multidisciplinary environments, where he has contributed to advancing digital transformation and innovation. Through these roles, he has demonstrated strong leadership, administrative capability, and commitment to academic excellence and research-driven impact.

Research Interest

Prof. Esenogho’s research interests lie at the intersection of artificial intelligence, machine learning, telecommunications, and interdisciplinary technological applications. His work focuses on intelligent wireless communication systems, advanced network optimization, and the integration of AI in solving real-world challenges. He has contributed to emerging areas such as deepfake detection, medical and healthcare AI, sustainable computing, and data-driven decision-making systems. His research also explores reinforcement learning, edge computing, and innovative approaches to improving network efficiency and reliability. He has authored and co-authored numerous peer-reviewed journal articles and conference papers, reflecting both depth and breadth in his research contributions. His interdisciplinary approach allows him to address complex societal and technological challenges, bridging gaps between theory and application. His work continues to contribute to advancements in next-generation communication technologies and AI-driven solutions across diverse sectors.

Award and Honor

Prof. Esenogho has received multiple recognitions that reflect his excellence in research, teaching, and academic leadership. He is a recipient of competitive research grants, fellowships, and scholarships awarded by academic institutions and industry partners, highlighting the impact and relevance of his work. He holds a National Research Foundation rating, signifying international recognition for his research contributions and scholarly influence. His achievements also include awards for outstanding research presentations and contributions to academic conferences. In addition, he has participated in international research collaborations and academic exchange initiatives that strengthen global partnerships. He serves in editorial and review capacities for scholarly publications, contributing to the advancement of knowledge in his field. His involvement in academic committees and research strategy groups further demonstrates his leadership and commitment to advancing innovation and research excellence within the global academic community.

Conclusion

Prof. Ebenezer Esenogho stands out as a dedicated scholar, researcher, and academic leader with a strong commitment to advancing knowledge in artificial intelligence and telecommunications. His solid educational background, extensive professional experience, and impactful research contributions position him as a key figure in multidisciplinary innovation. Through his work, he has consistently demonstrated the ability to address complex technological challenges and contribute meaningful solutions that benefit both academia and society. His recognition through awards, research funding, and international collaborations highlights his influence and growing global reputation. Beyond his achievements, he remains committed to mentoring the next generation of researchers and fostering collaborative research environments. His career reflects a balance of academic excellence, leadership, and innovation, making him a highly deserving candidate for recognition and continued contribution to the advancement of science, technology, and education on a global scale.

Publications Top Noted

  • A neural network ensemble with feature engineering for improved credit card fraud detection
    Author: E. Esenogho, I. D. Mienye, T. G. Swart, K. Aruleba, G. Obaido
    Year: 2022
    Citations: 421
  • Integrating artificial intelligence Internet of Things and 5G for next-generation smartgrid: A survey of trends challenges and prospect
    Author: E. Esenogho, K. Djouani, A. M. Kurien
    Year: 2022
    Citations: 307
  • Telemedicine: a survey of telecommunication technologies, developments, and challenges
    Author: C. O. Alenoghena, H. O. Ohize, A. O. Adejo, A. J. Onumanyi, E. E. Ohihoin, et al.
    Year: 2023
    Citations: 187
  • A Machine Learning Method with Filter-Based Feature Selection for Improved Prediction of Chronic Kidney Disease
    Author: I. D. M. Mienye, S. A. Ebiaredoh-Mienye, E. Esenogho, T. G. Swart
    Year: 2022
    Citations: 139
  • Crypto hash algorithm-based blockchain technology for managing decentralized ledger database in oil and gas industry
    Author: L. A. Ajao, J. Agajo, E. A. Adedokun, L. Karngong, et al.
    Year: 2019
    Citations: 129
  • Blockchain-based security mechanism for the medical data at fog computing architecture of internet of things
    Author: D. Ngabo, D. Wang, C. Iwendi, J. H. Anajemba, L. A. Ajao, C. Biamba, et al.
    Year: 2021
    Citations: 114
  • A proposed model for card fraud detection based on Catboost and deep neural network
    Author: N. Nguyen, T. Duong, T. Chau, V. H. Nguyen, T. Trinh, D. Tran, T. Ho, et al.
    Year: 2022
    Citations: 111
  • Toward integrating intelligence and programmability in open radio access networks: A comprehensive survey
    Author: A. Arnaz, J. Lipman, M. Abolhasan, M. Hiltunen, et al.
    Year: 2022
    Citations: 97
  • An interpretable machine learning approach for hepatitis B diagnosis
    Author: G. Obaido, B. Ogbuokiri, T. G. Swart, N. Ayawei, S. M. Kasongo, K. Aruleba, et al.
    Year: 2022
    Citations: 89

Vassilios S. Verykios | Computer Science | Research Excellence Award

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Prof. Vassilios S. Verykios | Computer Science | Research Excellence Award

Hellenic Open University | Greece

Prof. Vassilios S. Verykios is a distinguished academic serving as a professor in the field of data science and information systems, with expertise in privacy-preserving data mining, data management, and knowledge discovery. He holds advanced degrees in computer science with specialization in data-centric technologies and has built a strong professional career through academic leadership, research supervision, and participation in collaborative scientific projects. His research focuses on secure data analytics, big data processing, and intelligent information systems, resulting in a substantial body of highly cited publications and impactful scholarly contributions. He has demonstrated leadership through editorial responsibilities, conference organization, and active engagement in international research communities. His work reflects sustained innovation and interdisciplinary relevance, contributing significantly to both theoretical advancements and applied solutions. Recognized for his scholarly excellence, he has received multiple honors and maintains active membership in professional organizations, reinforcing his standing as a leading contributor to advancing research and innovation in data science.

Citation Metrics (Google Scholar)

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Documents

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Top 5 Featured Publications

 


Duplicate Record Detection: A Survey


– IEEE Transactions on Knowledge and Data Engineering


Association Rule Hiding


– IEEE Transactions on Knowledge and Data Engineering


Disclosure Limitation of Sensitive Rules


– KDEX Workshop Proceedings

Marius Manole | Biomaterials | Excellence in Research Award

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Assoc. Prof. Dr. Marius Manole | Biomaterials | Excellence in Research Award

Asist Prof | UMF “Iuliu Hatieganu” Cluj-Napoca | Romania

Asist Prof. Manole Marius-Ciprian is a distinguished academic and clinician in the field of dental prosthetics and esthetic dentistry, serving as a senior faculty member within a major medical and pharmaceutical university where he contributes to academic leadership, curriculum innovation and the advancement of dental education. With a doctoral qualification in dental medicine and specialized training in prosthetic and esthetic disciplines, he has developed a comprehensive professional portfolio that integrates advanced clinical expertise with a strong commitment to teaching excellence. His extensive academic experience includes leading courses in prosthetic technologies, esthetic dentistry and dental biomaterials, supervising clinical training across multiple levels of study and contributing to postgraduate and residency programs focused on implant-supported prosthetics, ceramic biomaterials and complex restorative procedures. He has held key academic roles that support institutional development, including coordinating educational activities, shaping academic strategy and fostering quality improvement across dental programs. Alongside his university responsibilities, he maintains active clinical practice, providing advanced restorative, prosthetic and esthetic treatments and overseeing the administrative management of a specialized dental practice. His research interests span dental prosthetics, supra-implant rehabilitation, esthetic materials and clinical innovation, reflected in a body of publications that contribute to the evidence base of modern dental practice. His work has earned recognition for research excellence and he remains actively engaged in professional development initiatives, academic committees, continuing education programs and collaborations that promote high standards in dental training and patient care. Through his combined achievements in teaching, research, leadership and clinical practice, Manole Marius-Ciprian exemplifies a strong and sustained contribution to the advancement of dental medicine.

Profiles: Google Scholar | Scopus

Featured Publications

1. Bordea, I. R., Candrea, S., Sălăgean, T., Pop, I. D., Lucaciu, O., Ilea, A., Manole, M., … (2021). Impact of COVID-19 pandemic on healthcare professionals and oral care operational services: A systemic review. Risk Management and Healthcare Policy, 453–463.

2. Earar, K., Antoniac, V. I., Baciu, S., Bran, S., Onisor, F., Milea, C., Mohan, A., … (2017). Etching treatment effect on surface morphology of dental structures. Matrix, 4–5.

3. Burde, A. V., Gasparik, C., Baciu, S., Manole, M., Dudea, D., & Câmpian, R. S. (2017). Three-dimensional accuracy evaluation of two additive manufacturing processes in the production of dental models. Key Engineering Materials, 752, 119–125.

4. Ioniță, M., Vlăsceanu, G. M., Toader, A. G., & Manole, M. (2023). Advances in therapeutic contact lenses for the management of different ocular conditions. Journal of Personalized Medicine, 13(11), 1571.

5. Manea, A., Baciut, G., Baciut, M., Pop, D., Comsa, D. S., Buiga, O., Trombitas, V., … (2019). New dental implant with 3D shock absorbers and tooth-like mobility—Prototype development, finite element analysis (FEA), and mechanical testing. Materials, 12(20), 3444.

Asist Prof. Manole Marius-Ciprian’s work advances the field of dental medicine through innovations in prosthetic technologies, biomaterials and esthetic rehabilitation, strengthening evidence-based practice and improving patient outcomes. His academic leadership and research contributions support the development of modern dental education and clinical standards, driving progress that benefits both the scientific community and broader healthcare systems.

Gulzat Nuroldayeva | Electrochromic Devices | Best Researcher Award

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Ms. Gulzat Nuroldayeva | Electrochromic Devices | Best Researcher Award

Gulzat Nuroldayeva | Nazarbayev University | Kazakhstan

Ms. Gulzat Nuroldayeva is a PhD candidate in Chemistry at Nazarbayev University, specializing in the chemistry and technology of organic substances, natural compounds, polymers, and advanced electrochemical materials. She holds a Bachelor’s degree in Chemical Technology of Organic Substances from Al-Farabi Kazakh National University and a Master of Science in Chemistry from Nazarbayev University. Her professional experience includes laboratory and research roles at KazTransOil, Lanolin LLP, and the Institute of Batteries, where she contributed to projects on oil purification, organic synthesis, and the development of lithium-ion and electrochromic batteries. Gulzat’s research focuses on the synthesis, purification, and characterization of organic compounds and the design of functional materials for sustainable energy storage applications. Her publications have received notable citations, reflecting the impact of her work in electrochemistry and material science. She has demonstrated strong technical expertise in analytical techniques such as NMR, chromatography, and electrochemical testing, alongside leadership in collaborative research initiatives. Recognized for her academic excellence and contributions to innovative battery technologies, Gulzat Nuroldayeva represents a new generation of scientists dedicated to advancing green energy solutions through interdisciplinary chemical research.

Profiles: Google Scholar | Scopus

Featured Publications

1. Nuroldayeva, G., Serik, Y., Adair, D., Uzakbaiuly, B., & Bakenov, Z. (2023). State of health estimation methods for lithium-ion batteries. International Journal of Energy Research, 2023(1), 4297545.

2. Nuroldayeva, G., & Mannix, B. P. (2023). Flexing the spectrum: Advancements and prospects of flexible electrochromic materials. Polymers, 15(13), 2924.

3. Nuroldayeva, G., Adair, D., & Bakenov, Z. (2023). Revealing phase transition in Ni-rich cathodes via a nondestructive entropymetry method. ACS Omega.

4. Nuroldayeva, G., Umurzak, T., Kireyeva, A., Aishova, A., Mukhan, O., Kim, S. S., … & Bakenov, Z. (2025). A comparative study of bulk and surface W-doped high-Ni cathode materials for lithium-ion batteries. Nanoscale, 17(13), 8192–8205.

5. Amire, N., Almagambetova, K. M., Turlykul, A., Taishybay, A., Nuroldayeva, G., … & Bakenov, Z. (2022). Triflic acid-promoted post-Ugi condensation for the assembly of 2,6-diarylmorpholin-3-ones. Organic & Biomolecular Chemistry, 22(48), 9379–9387.