Dr. Clotaire Thierry Sanjong Dagang | Automation and Control | Best Researcher Award

Lecture at University of Dschang/FOTSO Victor University Institute of Technology in Bandjoun, Cameroon.

Dr. Clotaire Thierry Sanjong Dagang is a distinguished lecturer, researcher, and expert in electrical engineering and automation. He holds a Ph.D. in Physics (Electronics) from the University of Dschang, where he now teaches and conducts cutting-edge research in renewable energy automation and control systems. As a key member of the Automation and Signal Processing team, he has significantly contributed to renewable energy integration, control strategies for wind turbine systems, and AI-driven power optimization. His publications in high-impact journals reflect his dedication to advancing energy automation and applied electronics. Dr. Sanjong Dagang is passionate about bridging the gap between theoretical research and practical industrial applications, contributing to the development of sustainable energy solutions.

Publication Profile

Scopus

Educational Details

2017: Doctorate (Ph.D.) in Physics, specialization in Electronics – University of Dschang
2013: Master of Science in Physics, specialization in Electronics – University of Dschang
2009: Bachelor of Science in Electrical Engineering – IUT-FV of Bandjoun

Professional Experience

Dr. Clotaire Thierry Sanjong Dagang is currently a lecturer in the Electrical Engineering Department at the IUT-FV of Bandjoun, University of Dschang. He has been actively involved in teaching various undergraduate and graduate courses related to electrical engineering, electronics, electrotechnics, and automation. His teaching portfolio includes courses such as Electrical Machines, Electrical Circuits, Measurement Electronics, Simulation of Electrical Systems, and Industrial Electrical Networks and Diagrams.

Before his current full-time role, Dr. Sanjong Dagang served as a part-time lecturer at IUT-FV Bandjoun from 2013 to 2019, where he taught practical and theoretical courses in electronics, electrical engineering, and mechatronics. His extensive experience in academic instruction is complemented by his research activities in automatic control, applied computing, and signal processing, particularly in energy systems automation.

Research Interest

Renewable energy systems (wind turbine-based power generation)
Control strategies for self-excited induction generators and permanent magnet synchronous generators
Fuzzy logic and predictive control in power systems
Nonlinear dynamics and stability analysis in electrical circuits
Hybrid power systems optimization using artificial intelligence

Author Metrics:

Total Publications: 11+
Research Areas: Renewable energy, automation, control systems, electrical engineering

Top Noted Publication

Performance Enhancement for Stand-Alone Wind Energy Conversion System Using Super-Twisting Algorithm

Authors: Daniel Borice Tchoumtcha, Clotaire Thierry Sanjong Dagang, and Godpromesse Kenné

Journal: Energy Reports

Volume 13, June 2025

Conclusion

Dr. Clotaire Thierry Sanjong Dagang is a strong candidate for the Best Researcher Award, given his expertise in automation and control of renewable energy systems, his innovative AI-driven research, and his commitment to applied engineering solutions. To further strengthen his candidacy, he could increase international collaborations, expand research output, and secure major research grants in renewable energy automation.

Assoc. Prof. Dr. Yousry AbdulAzeem | Artificial Intelligence | Best Researcher Award

Associate Professor at School of Computational Sciences and Artificial Intelligence (CSAI), Zewail City of Science and Technology, Egypt

Assoc. Prof. Dr. Yousry AbdulAzeem is a computer science researcher and educator specializing in distributed database systems, artificial intelligence, and software performance engineering. With over two decades of academic and industry experience, he has contributed to database optimization, software modeling, and AI-driven data analysis. He is currently affiliated with Misr Higher Institute for Engineering and Technology, University of Science and Technology (Zewail City, Giza, Egypt), and The Higher Institute of Engineering, El-Shorouk Academy, Cairo, Egypt.

Publication Profile

Scopus

Google Scholar

Educational Details

Ph.D. in Automatic Control Engineering (2014) – Mansoura University, Egypt
Thesis: Ranking of Distributed Uncertain Database Systems
M.Sc. in Automatic Control Engineering (2009) – Mansoura University, Egypt
Thesis: Performance Evaluation of UML Software Models Based on LQN
B.Sc. in Computers and Systems Engineering (2004) – Mansoura University, Egypt (Very Good)

Professional Experience

Dr. Yousry AbdulAzeem is an Associate Professor of Computer Science and Engineering with extensive academic and industry experience. He is currently a full-time Associate Professor at the Misr Higher Institute for Engineering and Technology, Mansoura, Egypt, and also serves as an Adjunct Associate Professor at both the University of Science and Technology (Zewail City, Giza) and The Higher Institute of Engineering (El-Shorouk Academy, Cairo, Egypt).

From 2015 to 2022, he worked as an Assistant Professor at Taibah University, Saudi Arabia, where he taught courses in network security, programming, database systems, and artificial intelligence. Before this, he held academic roles at Mansoura University and Misr Higher Institute for Computers and Commerce.

In addition to his academic career, Dr. AbdulAzeem has industry experience as a Technical Director and Executive Manager at Trust IT (2007–2009) and a Senior Programmer & Project Administrator at Aflak Masr for Information Technology (2004–2006). He also has significant experience in academic mentoring and quality assurance, having served as the Academic Mentoring Manager at both Taibah University (2017–2022) and Misr Higher Institute for Engineering and Technology (2023–present).

Research Interest

Distributed Database Systems
Software Performance Engineering
Artificial Intelligence & Knowledge Representation
Data Governance & Security
Cloud Computing & Distributed Systems

Top Noted Publication

“A CNN-based framework for classification of Alzheimer’s disease” – Neural Computing and Applications (2021)

Citations: 127
Developed a deep learning framework for Alzheimer’s disease classification using CNNs.

“A congestion-aware clustering and routing (CCR) protocol for mitigating congestion in WSN” – IEEE Access (2019)

Citations: 61
Proposed a congestion-aware routing protocol for wireless sensor networks.

“Human action recognition based on transfer learning approach” – IEEE Access (2021)

Citations: 53
Applied deep transfer learning for human activity recognition in videos.

“An optimized transfer learning-based approach for automatic diagnosis of COVID-19 from chest X-ray images” – PeerJ Computer Science (2021)

Citations: 39
Introduced an optimized AI model for COVID-19 detection using X-ray images.

“Classification of breast cancer using a manta-ray foraging optimized transfer learning framework” – PeerJ Computer Science (2022)

Citations: 27
Developed a bio-inspired optimization technique for breast cancer classification.

Conclusion

Assoc. Prof. Dr. Yousry AbdulAzeem is a highly qualified and impactful researcher in Artificial Intelligence and Distributed Systems. His strong publication record, interdisciplinary expertise, and leadership roles make him a top contender for the Best Researcher Award.

To further strengthen his case, he could increase grant acquisitions, expand international collaborations, and focus on AI deployment in real-world applications. Given his high citation impact, research relevance, and academic leadership, he is a strong candidate deserving recognition.

Conclusion

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