Thierry Clotaire SANJONG DAGANG | High energy physics | Emerging Researcher in Physics Award

Dr. Thierry Clotaire SANJONG DAGANG | High energy physics | Emerging Researcher in Physics Award

Lecturer at Institut Universitaire de Technologie FOTSO Victor de Bandjoun/ Universite de Dschang , Cameroon

Sanjong Dagang Thierry Clotaire, born on June 16, 1986, in Melong, Cameroon, is an accomplished academic and researcher in the field of electrical engineering and electronics. He earned his Ph.D. in Physics from the University of Dschang, with a specialization in electronics. Currently, he serves as a lecturer in the Electrical Engineering Department at the IUT-FV, University of Dschang. His teaching focuses on various practical and theoretical aspects of electrical and electronic engineering. With a strong passion for research, Sanjong collaborates with the Automatic Control and Applied Computing research unit (URAIA), working on advanced automation applications in the field of electrical energy. He has co-authored numerous scientific papers in prestigious journals and conferences, contributing significantly to his field.

Profile:

Education:

Sanjong Dagang Thierry Clotaire has an impressive academic background in physics and engineering. He obtained his Doctorate/Ph.D. in Physics, specializing in electronics, from the University of Dschang in 2017. Prior to this, in 2013, he earned his Master of Science in Physics, also with a focus on electronics, from the same institution. His undergraduate education was completed at IUT-FV of Bandjoun, where he received a Bachelor of Science in Electrical Engineering in 2009, followed by a Diplôme Universitaire de Technologie in Electrical Engineering, specializing in Electrotechnics, in 2008. Sanjong’s solid academic foundation started with a Baccalauréat C from the Bilingual School of Melong in 2006. His educational journey reflects his dedication to mastering the fields of physics and electronics, equipping him with deep theoretical knowledge and practical skills.

Professional experience:

Sanjong Dagang Thierry Clotaire has built a diverse academic and professional career, primarily as a lecturer at the IUT-FV of the University of Dschang. He has been teaching courses in the Electrical Engineering Department since 2019, offering expertise in subjects such as practical physical measurements, tests and measurements, electrical machines, and basic electronics. Additionally, he contributes to the department with hands-on teaching in courses related to electrical circuits, simulation of electrical systems, and industrial electrical networks. Previously, from 2013 to 2019, he worked as a part-time lecturer at the same institution, covering practical and theoretical aspects of electrical engineering. His vast experience also includes teaching in fields such as refrigeration, mechatronics, and electrotechnics, proving his versatile knowledge across engineering disciplines. Sanjong balances his teaching responsibilities with active research in automation and signal processing.

Research focus:

Sanjong Dagang Thierry Clotaire’s research is centered on automation and signal processing, with a specific focus on applying automation to the field of electrical energy. As a member of the Automatic Control and Applied Computing research unit (URAIA), he works within the Automation and Signal Processing (ATS) team, exploring robust control strategies for energy systems. His research includes projects such as adaptive PI control for self-excited induction generators, fuzzy logic-based control for wind turbine systems, and neuro-fuzzy methods for hybrid power supplies. Sanjong’s work is aimed at optimizing energy generation and distribution through advanced control mechanisms, particularly in the context of renewable energy sources like wind turbines. His expertise in this area contributes to the ongoing development of sustainable and efficient energy solutions, making his research impactful in both theoretical and applied domains.

Awards and Honors:

Sanjong Dagang Thierry Clotaire has garnered recognition for his research in automation and signal processing, particularly in electrical energy applications. Throughout his academic journey, he has co-authored influential papers in high-impact journals, earning respect within the international scientific community. His collaborative work with researchers like Godpromesse Kenne and Fombu Andrew Muluh has contributed to groundbreaking developments in control strategies for wind turbine systems, hybrid power supplies, and energy management systems. Sanjong has also presented his research at prestigious international conferences, such as the Cameroon Physical Society’s International Conference and the ANSOLE-Cameroon National Conference for Young Scientists. His commitment to innovation and excellence has solidified his reputation as a leading researcher in his field. While formal accolades are not mentioned explicitly, his publications and research collaborations reflect a distinguished career marked by academic contributions and peer recognition.

Publication Top Notes:

  • A Simple Lyapunov Function Based Control Strategy for Coordinated Transient Stability Enhancement of Power Systems
    Muluh, F.A., Dagang, C.T.S., Pierre, P.M.J., Leroy, S.L., Godpromesse, K.
    Indonesian Journal of Electrical Engineering and Informatics, 2024, 12(2), pp. 397–408
    Citations: 0
  • Qualitative Performance Improvement of a Hybrid Power Supply at the DC Common Coupling Point Using a Neuro-Fuzzy Method
    Bissé, J.T.N., Pesdjock, M.J.P., Sanjong Dagang, C.T., Kenne, G., Sonfack, L.L.
    Scientific African, 2024, 24, e02229
    Citations: 0
  • Predictive Current Control Strategies of Grid Connected-Self Excited Induction Generator
    Sanjong Dagang, C.T., Kenné, G.
    Scientific African, 2024, 23, e02044
    Citations: 0
  • A Simple Fuzzy Logic Based DC Link Energy Management System for Hybrid Industrial Power Supply
    Mbende, E.T., Muluh, F.A., Pesdjock, M.J.P., Sanjong Dagang, C.T., Sonfack, L.L.
    Energy Reports, 2023, 10, pp. 3619–3628
    Citations: 2
  • Synergetic Control for Stand-Alone Permanent Magnet Synchronous Generator Driven by Variable Wind Turbine
    Tchoumtcha, D.B., Dagang, C.T.S., Kenne, G.
    International Journal of Dynamics and Control, 2023, 12(8), pp. 2888–2902
    Citations: 1
  • Fuzzy Logic Direct Torque/Power Control for a Self-Excited Induction Generator Driven by a Variable Wind Speed Turbine
    Dagang, C.T.S., Kenne, G., Muluh, F.A.
    International Journal of Dynamics and Control, 2021, 9(3), pp. 1210–1222
    Citations: 11
  • Effects of Symmetric and Asymmetric Nonlinearity on the Dynamics of a Third-Order Autonomous Duffing-Holmes Oscillator
    Doubla, I.S., Kengne, J., Tekam, R.B.W., Njitacke, Z.T., Dagang, C.T.S.
    Complexity, 2020, 2020, 8891816
    Citations: 7

Conclusion:

Sanjong Dagang Thierry Clotaire’s combination of academic rigor, innovative research, and extensive teaching experience makes him a strong contender for the Best Researcher Award. His work in renewable energy systems and automation is forward-looking and addresses some of the key challenges of the modern world, making him an asset in his field.

 

Min Yang | High Energy physics | Best Researcher Award

Prof. Min Yang | High Energy physics | Best Researcher Award

PHD at Qingdao University of Technology, Qingdao, China

Dr. Min Yang, based at Qingdao University of Technology, Qingdao, China, is a distinguished researcher recognized as a Highly Cited Researcher for Clarivate in 2022 and listed among the World’s Top 2% Scientists in 2023. With an H-index of 45, she has authored 83 influential papers, including 39 ESI HOT/Highly Cited papers, accumulating 8205 WOS citations. As the chief expert of the Qingdao Nanolubricant Quasi Dry Manufacturing Expert Workstation, her expertise spans grinding, precision machining, biomedical material processing, and the preparation of wearable sensors. Additionally, she has authored 4 books, contributing significantly to her field. High Energy physics

Professional Profiles:

Scopus

Researchgate

Education

phd, Qingdao University of Technology, Qingdao, China

Accolades

Min Yang is a Highly Cited Researcher for Clarivate in 2022 and recognized as one of the World’s Top 2% Scientists in 2023. She has made significant contributions, with 83 highly influential papers to her name, including 39 ESI HOT/Highly Cited papers. Her impressive H-index of 45 reflects the impact of her work, which has garnered a total of 8205 WOS citations. High Energy physics

Expertise

Her expertise extends to serving as the chief expert of the Qingdao Nanolubricant Quasi Dry Manufacturing Expert Workstation.

Publications

In addition to her prolific paper output, Min Yang has authored 4 books, 2 of which were published by Science Press.

Research Interest

Grinding and precision machining, Biomedical material processing, Preparation of wearable sensors

Research Focus:

Dr. Min Yang’s research focuses on various aspects of advanced manufacturing technology, particularly in the field of grinding and precision machining. Her recent work includes investigations into the grindability evaluation of ultrasonic-assisted grinding of silicon nitride ceramic using minimum quantity lubrication based SiO2 nanofluid. Additionally, she has contributed significantly to understanding material removal mechanisms and force modeling in ultrasonic vibration-assisted micro-grinding of biological bone. Dr. Yang’s expertise extends to exploring heat transfer mechanisms in cryogenic air minimum quantity lubrication grinding of titanium alloy and developing temperature field models in surface grinding. She continues to advance knowledge in these areas through her research at Qingdao University of Technology, Qingdao, China. High Energy physics

Publications

  1. Temperature field model in surface grinding: a comparative assessment, Publication: 2023.
  2. Material Removal Mechanism and Force Modeling in Ultrasonic Vibration-Assisted Micro-Grinding Biological Bone, Publication: 2023.
  3. Convective Heat Transfer Coefficient Model Under Nanofluid Minimum Quantity Lubrication Coupled with Cryogenic Air Grinding Ti–6Al–4VPublication: 2020.
  4. Nanobiolubricant grinding: a comprehensive reviewPublication: 2024.
  5. Kinematics and improved surface roughness model in milling, Publication: 2022.
  6. Graphene-based flexible wearable sensors: mechanisms, challenges, and future directions, Publication: 2023.
  7. Grindability Evaluation of Ultrasonic Assisted Grinding of Silicon Nitride Ceramic Using Minimum Quantity Lubrication Based SiO2 NanofluidPublication: 2024.
  8. Magnetic Bearing: Structure, Model and Control strategyPublication: 2023.
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