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

Michel Dossou | Telecommunications | Best Researcher Award

Assoc.Prof. Dr. Michel Dossou , University of Abomey-Calavi , Benin.

Michel Dossou is an accomplished academic and telecommunications expert with a Ph.D. in photonics from the University of Lille, France (2011).

A dynamic educator and Cisco-certified instructor, he has advanced networking and fiber optics expertise. Michel’s leadership in large-scale projects and multilingual proficiency (Fon, Mina, Goun, French, and English) enhance his global impact.

His accolades include prestigious fellowships, national awards in mathematics and sciences, and a €500,000 research grant.

With a passion for innovation and education, he continues to inspire future generations in optics, telecommunications, and networking.

Education And Experiance

Ph.D. in Photonics (2011): University of Lille, France (Optics/Telecommunications).

Engineering Degree (2006): Royal Military Academy, Brussels, Belgium.

Associate Professorship (2019): Advanced academic distinction.

Assistant Professorship (2015): Recognized teaching expertise.

Certificate in Management (2014): University of Indore, India.

Suitability For the Award

Assoc. Prof. Dr. Michel Dossou is an ideal candidate for the Best Researcher Award due to his exceptional contributions to photonics, optics, and telecommunications. With a Ph.D. from the University of Lille and numerous prestigious fellowships, including a 500,000-euro grant, his research has significantly advanced optical technologies. His certifications in networking and fiber optics further highlight his expertise, making him a leading figure in his field with an impressive record of awards and recognition.

Professional Development

Michel Dossou is a forward-thinking educator and certified professional in telecommunications and networking.

He holds the Cisco Certified Network Associate (CCNA) credential, excelling in networking essentials, security, and automation. 🖧 An active NetAcad instructor, he mentors students in cutting-edge Cisco Networking Academy programs.

Additionally, Michel is a Certified Fiber Optic Technician (CFOT), recognized by the Fiber Optic Association for his technical expertise.

His career blends practical skill development with academic excellence, making him a driving force in photonics, telecommunications, and advanced networking education.

Research Focus

Michel Dossou’s research centers on optics, photonics, and telecommunications, with a special emphasis on advancing fiber optic technologies and network automation.

His work contributes to innovations in high-speed data transmission, laser-based communication, and the development of robust optical networks.

Michel’s expertise in photonics extends to interdisciplinary applications, bridging theoretical research with practical advancements in telecommunications infrastructure.

His dedication to the field is evident in his academic contributions and his commitment to mentoring future researchers in photonics and network technologies.

Awards And Honors

Best Dissertation Award (2006): Royal Military Academy, Belgium.

National Mathematics and Physical Sciences Champion (2000): Peace Corps, Benin.

National Mathematics Champion (1998): Institute of Mathematics and Physics, Benin.

Fellowships:

Belgian Ministry of Defense for Master’s studies (2001-2006).
French National Center for Scientific Research (2007-2010).
University of Lille Research Fellowship (2010-2012).

Publication Top Notes

Mitigation of Spectral Shadowing Effect in Direct Detection Double-Pulse FBG-Assisted Phase-OTDR – 2024,

Exploring Universal Filtered Multi Carrier Waveform for Last Meter Connectivity in 6G: A Street-Lighting-Driven Approach with Enhanced Simulator for IoT Application Dimensioning – 2024, Cited by: 1