Prof. Ebenezer Esenogho | Telecommunications | Best Researcher Award

Prof. Ebenezer Esenogho | University of South Africa | South Africa

Dr. Ebenezer Esenogho is a distinguished academic and researcher with nearly two decades of experience in engineering, telecommunications, and AI. He holds multiple degrees, including a Ph.D. in Electronic Engineering, and has worked globally in South Africa, Uganda, Botswana, and Nigeria 🌍. As a professor and research lead, he focuses on cutting-edge research in 5G networks, AI, IoT, cybersecurity, and more 💡. He has received numerous awards for his research excellence 🏆 and has mentored many students and faculty, inspiring the next generation of engineers 👩‍🏫👨‍🏫.

Professional Profile:

ORCID

Google Scholar

Suitability for the Best Researcher Award

Dr. Ebenezer Esenogho is highly deserving of the Best Researcher Award due to his outstanding contributions to the fields of engineering, telecommunications, and AI over nearly two decades. His qualifications, including a Ph.D. in Electronic Engineering, and extensive international experience in countries like South Africa, Uganda, Botswana, and Nigeria, underscore his global perspective and expertise in these rapidly evolving areas.

Education & Experience

Diploma in Computer Engineering (2002/2003) 🖥️
BEng in Computer Engineering (2007/2008) 🎓
MEng in Telecommunications Engineering (2010/2011) 📡
Ph.D. in Electronic Engineering (University of KwaZulu-Natal, South Africa) 🎓
Senior Lecturer, University of Benin (2007-2013) 👨‍🏫
GES Post-Doctoral Research Fellowship, University of Johannesburg (2017-2020) 🏅
Associate Professor, Kampala International University, Uganda 🌍
Expatriate Senior Lecturer, University of Botswana 🤝
Distinguished Research Professor, University of South Africa (UNISA) 🌟

Professional Development

Dr. Esenogho has continually advanced his career through prestigious fellowships and global academic engagements. He has contributed significantly to the research landscape with post-doctoral work in the Fourth Industrial Revolution (4IR) at the University of Johannesburg 💼. As a research lead at UNISA, he drives innovations in AI and smart systems 🤖. His mentorship of postgraduate students and junior faculty has helped develop new research pathways in telecommunications and AI 🔍. Dr. Esenogho actively contributes to international conferences and serves as a reviewer for academic journals 📚. His leadership in research and academia has inspired excellence across continents 🌎.

Research Focus

Dr. Esenogho’s research is at the intersection of telecommunications, AI, and smart systems, with a strong emphasis on next-generation networks and technologies. He explores 5G and cognitive radio networks 📶, smart grid and IoT systems 🔌, and the role of AI/ML in enhancing network security and efficiency 🔐. His work on wireless sensor networks, mobile/cloud computing, and big data is transforming how we understand and use connectivity 🌐. Dr. Esenogho is pioneering research in these areas, helping shape the future of communication technologies 📡. His commitment to cutting-edge innovation continues to push boundaries and solve complex engineering problems 🔬.

Awards & Honors

CEPS/Eskom HVDC Fellowship (2013, 2014) 🏅
J.W. Nelson Award (2015) 🏆
GES Post-Doctoral Fellowship (2017–2020) 🎓
NRF C-rating for researchers of international repute 🌟
Best Oral Paper Presentation Award, UJ Postdoctoral Fellowship Conference (2019) 🏅
F’SAIT SARChI Chair Award (2021) 🏅
Member of IEEE, SAIEE, and other professional bodies 🤝

Publication Top Notes:

🤖 A Neural Network Ensemble with Feature Engineering for Improved Credit Card Fraud Detection 👥 Cited by: 218
🌐 Integrating AI, IoT, and 5G for Next-Generation Smartgrid: A Survey of Trends, Challenges, and Prospects – 👥 Cited by: 165
💉 A Machine Learning Method with Filter-Based Feature Selection for Improved Prediction of Chronic Kidney Disease – Bioengineering 👥 Cited by: 73
📡 Toward Integrating Intelligence and Programmability in Open Radio Access Networks: A Comprehensive Survey 👥 Cited by: 59
💳 A Proposed Model for Card Fraud Detection Based on CatBoost and Deep Neural Network 👥 Cited by: 57
🧑‍⚕️ An Interpretable Machine Learning Approach for Hepatitis B Diagnosis 👥 Cited by: 53

Prof. Weijun Hu | Jilin University | China

Dr. Hu Weijun 🎓 is a Professor and Doctoral Supervisor at Jilin University’s College of Archaeology 🏛️. With a PhD in Art 🎨 and a Postdoctoral Fellowship in Chinese Language and Literature 📚, he excels in brand strategy, museum exhibition design 🖼️, cultural product design 🎁, and intangible cultural heritage protection 🌏. A former visiting scholar to the U.S. 🌍, he has led over 20 research projects 📊 and published 60+ academic papers 📄 and 14 books 📖. As an Adobe Certified Creative Designer 💻, he’s received prestigious awards 🏆 like “China Design 40 Years Emerging Designer.”

Suitability for the Best Researcher Award

Dr. Hu Weijun is a highly accomplished academic and researcher whose multidisciplinary expertise spans archaeology, art, cultural heritage, and design. His diverse academic background, combined with practical achievements, demonstrates his ability to bridge traditional cultural studies with modern applications. His leadership in over 20 research projects and authorship of more than 60 academic papers and 14 books reflect his strong research productivity and contribution to knowledge

Education & Experience

🎓 PhD in Art – Advanced expertise in creative disciplines

📚 Postdoctoral Fellowship in Chinese Language & Literature – Specialized research focus

🌍 Visiting Scholar in the United States – International academic exposure

👨‍🏫 Professor & Doctoral Supervisor – Department of Cultural Heritage, Jilin University

🏛️ College of Archaeology, Jilin University – Leading academic institution

Professional Development

Dr. Hu Weijun’s professional journey is marked by diverse achievements 🌟. He has led 20+ major research projects 📊, including those funded by the National Social Science Foundation of China 🇨🇳 and the China Postdoctoral Science Foundation 📑. His work spans brand strategy 💼, museum exhibition design 🏺, cultural product development 🎨, and social innovation design 🤝. As an Adobe Certified Creative Designer 💻, he bridges academia and creative industries, influencing both sectors. His designs have been featured in exhibitions 🎭 like the China Youth Design Art Biennale and documented in top publications 📚.

Research Focus

Dr. Hu Weijun’s research focuses on cultural heritage protection 🌏, blending traditional values with modern design thinking 🎨. His work includes brand strategy development 💼, museum exhibition design 🏛️, and innovative cultural product creation 🎁. He emphasizes social innovation design 🤝 to address contemporary challenges through cultural narratives. Additionally, he’s dedicated to safeguarding intangible cultural heritage 🌐, ensuring cultural continuity in a globalized world 🌍. His interdisciplinary approach connects history, art, and technology, fostering creative solutions for cultural preservation 📖.

Awards & Honors

🏆 “China Design 40 Years Emerging Designer” Award – Recognizing innovative design excellence

🖼️ Featured in China Youth Design Art Biennale – Celebrating artistic achievements

📚 Published in China Design Yearbook – Highlighting influential design contributions

💻 Adobe Certified Creative Designer – Credentialed for advanced creative skills

🏅 Leader of 20+ National Research Projects – Recognized for academic excellence

Publication Top Notes:

📚 Authentic Leadership: Bridging the Gap Between Perception of Organizational Politics and Employee Attitudes in Public Sector Museums – Humanities and Social Sciences Communications

📡 Beyond Bookshelves: How 5/6G Technology Will Reshape Libraries – Technology in Society

🏛️ Intangible Cultural Heritage Research in China: From the Perspective of Intellectual Property Rights – Humanities and Social Sciences Communications