Dr. Andre Michel Pouth Nkoma | engineering | Best Researcher Award

Dr. Andre Michel Pouth Nkoma | engineering | Best Researcher Award

National Institute of Cartography, MINRESI, Cameroon

André Michel POUTH NKOMA  est un chercheur passionné, attaché de recherche à l’Institut National de Cartographie du Ministère de la Recherche Scientifique et de l’Innovation du Cameroun, et doctorant en géophysique à l’Université de Yaoundé I. Il se distingue par son engagement profond dans les domaines de la géophysique, de la cartographie numérique, de la télédétection, des SIG et de la durabilité des infrastructures. Véritable pédagogue, il combine ses compétences scientifiques et son expertise de terrain pour répondre aux défis environnementaux, urbains et géologiques du Cameroun et au-delà. 🌍

Publication Profile

🎓 Education Background

Il poursuit actuellement une thèse de doctorat PhD en physique avec une spécialisation en géophysique et géoexploration à l’Université de Yaoundé I, portant sur « l’Investigation géophysique à la connaissance de la Ligne Volcanique du Cameroun ». Il est détenteur d’un Master en physique (géophysique et géoexploration), obtenu en 2022 avec un mémoire intitulé « Self-Reliant Positioning System ». En 2019, il a obtenu une Licence en physique (électronique, électrotechnique et automatique) et en 2014, un Baccalauréat en mathématiques et sciences physiques du Lycée Classique d’Edéa. 📚

👨‍🏫 Professional Experience

Depuis janvier 2022, André Michel occupe un poste d’enseignant vacataire à l’Université de Yaoundé I, où il transmet ses connaissances en cartographie numérique, géophysique et physique. Il encadre les étudiants dans les travaux pratiques de laboratoire et de terrain, en veillant au respect rigoureux des protocoles scientifiques. Parallèlement, il exerce comme attaché de recherche à l’Institut National de Cartographie, où il participe activement aux projets nationaux de recherche sur les risques naturels et les infrastructures. 🏫🛰️

🏅 Awards and Honors

Bien que les distinctions officielles ne soient pas mentionnées, ses nombreuses publications dans des revues scientifiques à comité de lecture et ses contributions à des conférences de haut niveau témoignent de sa reconnaissance dans la communauté scientifique. Il est également sollicité pour partager ses expertises dans des forums scientifiques internationaux, ce qui reflète la valeur et la qualité de ses travaux. 🏆📖

🔍 Research Focus

Ses recherches portent sur l’intégration des méthodes géophysiques pour évaluer les risques naturels, notamment en zones volcaniques et montagneuses. Il explore également l’influence de la tectonique fragile sur les infrastructures, les conditions d’ancrage des fondations dans les estuaires sédimentaires, et développe des instruments géophysiques pour améliorer la prévision et la résilience face aux catastrophes naturelles. Son approche interdisciplinaire allie géomatique, SIG, photogrammétrie et programmation pour développer des solutions durables aux défis environnementaux. 🌋🛠️📡

Conclusion

Avec un engagement inébranlable pour l’avancement de la science, André Michel POUTH NKOMA représente une figure montante de la recherche géophysique en Afrique centrale. Sa rigueur académique, son sens pédagogique et son esprit d’innovation font de lui un acteur clé dans la compréhension des phénomènes naturels et la protection des infrastructures. 💡🌐🔧

📚 Top Publications Notes 

Response of a Structure Isolated by a Coupled System Consisting of a QZS and FPS Under Horizontal Ground Excitation
2025 |Buildings
📊 Cited by: [data not yet available]

Modelling of Groundwater Potential Zones in Semi-Arid Areas Using Unmanned Aerial Vehicles, Geographic Information Systems, and Multi-Criteria Decision Making
2025 | Hydrology
📊 Cited by: [data not yet available]

Identifying water-lubricated faults in the vicinity of a dam
2025 | The Egyptian Journal of Remote Sensing and Space Sciences
📊 Cited by: [data not yet available]

An approach to assess hazards in the vicinity of mountain and volcanic areas
2024 | Landslides
📊 Cited by: [data not yet available]

Possible Influence of Brittle Tectonics on the Main Road Network Built in the Central African Environment Using Remote Sensing and GIS
2023 | Sustainability
📊 Cited by: [data not yet available]

An Attempt to Study Foundation Anchoring Conditions in Sedimentary Estuaries Using Integrated Methods
2022 | Applied Sciences
📊 Cited by: [data not yet available]

Analysis of safety factors for roads slopes in central Africa
2022 | Engineering Failure Analysis
📊 Cited by: [data not yet available]

Najmeh Zamani | Engineering | Best Researcher Award

Dr. Najmeh Zamani | Engineering | Best Researcher Award 

Postdoc researcher, Concordia university, Canada

🌟 Najmeh Zamani (b. 29th July 1989) is a dedicated researcher in the field of electrical and computer engineering. She is currently a Postdoctoral Researcher at Concordia University, Canada, with a strong academic background from Isfahan University of Technology, Iran. Najmeh’s expertise spans control systems, nonlinear multi-agent systems, and deep learning applications. Married and proficient in both Persian and English, she is recognized for her significant contributions to her field.

 

Profile

Google Scholar

 

Education

🎓 Najmeh Zamani has an impressive academic record, starting with a Bachelor’s degree in Electrical Engineering from Isfahan University (2007-2011), where she ranked 1st. She continued at the same university for her Master’s degree (2011-2014), ranking 3rd, and then pursued a Ph.D. in Electrical Engineering at Isfahan University of Technology (2015-2021), achieving a GPA of 19/20. Her Ph.D. dissertation focused on the “Consensus of Nonlinear Multi-Agent Systems with Time-Delays and Actuator Faults.” Najmeh also completed postdoctoral research at Concordia University, Canada, in 2023.

Experience

💼 Najmeh Zamani has a robust professional background, including roles as a researcher at Isfahan University of Technology, an R&D researcher at Control Farayand Pasargad Company, and an electronic designer at Sirco Company. Her experience spans industrial projects like COVID-19 pandemic prediction models and power electronic boost converter design. Najmeh has also served as a visiting professor and teaching assistant in various institutions, sharing her expertise in control systems and electronics.

Research Interests

🔬 Najmeh Zamani‘s research interests are diverse and cutting-edge. They include distributed control systems and multi-agent systems, adaptive control of nonlinear systems with time-delays and faults, fault estimation and control theory, and control of distributed applications like mobile sensors. She is also passionate about deep learning, probabilistic graphical models (PGM), data-driven control, reinforcement learning, and data analysis.

Awards

🏆 Najmeh Zamani has received several accolades throughout her academic journey. She was ranked 1st among all graduated students in Electrical and Computer Engineering at Isfahan University in 2011. She was also recognized as an outstanding B.Sc. and M.Sc. student from 2007 to 2014. Notably, she received admission offers for both her graduate and doctoral studies at Isfahan University of Technology without needing to take the National Entrance Exam for Graduate Schools.

Publications

N. Zamani, M. Ataei, M. Niroomand, “Analysis and Control of Chaotic Behavior in Boost Converter by Ramp Compensation Based on Lyapunov Exponents Assignment: Theoretical and Experimental Investigation”, Chaos, Solitons and Fractals, 2015, cited by 20 articles. Link.

N. Zamani, J. Askari, M. Kamali, A. Aghdam, “Distributed adaptive consensus tracking control for non-linear multi-agent systems with time-varying delays”, IET Control Theory & Applications, 2020, cited by 15 articles. Link.

H. Kalantari, M. Mojiri, S. Dubljevic, N. Zamani, “Fast l1-MPC Based on Sensitivity Analysis Strategy”, IET Control Theory & Applications, 2020, cited by 10 articles. Link.

N. Zamani, J. Askari, M. Kamali, H. Kalantari, A. Aghdam, “Adaptive Tracking Control for Nonlinear Multi-Agent Systems with Stuck Failures and Unknown Control Directions”, Journal of the Franklin Institute, 2024. Link.

H. Kalantari, M. Mojiri, Najmeh Zamani, “Urban Traffic Control By Fast l1 Model Predictive Control Based on Sensitivity Analysis”, IET Control Theory & Applications, 2024. Link.