Jacob Mbarndouka Taamté | Machine learning | Best Researcher Award

Posted on by Academic achievements

Dr. Jacob Mbarndouka Taamté | Machine learning | Best Researcher Award

Dr. Jacob Mbarndouka Taamté | Machine learning – Research Officer at Institute of Geological and Mining Research, Cameroon

Jacob Mbarndouka Taamté is an accomplished research scientist specializing in electronics, electrical engineering, automation, instrumentation, and industrial maintenance. Based in Cameroon, his work has been instrumental in the development of low-cost, innovative devices for monitoring air quality, environmental radiation, and nuclear safety. Taamté holds a Ph.D. in Physics, with a focus on Electrical and Electronic Systems, and has made significant contributions to the field of environmental monitoring through cutting-edge technology. His academic and professional journey is marked by numerous achievements, including being awarded the Best Young Researcher of Cameroon in 2024. He is also an active member of several international research initiatives and has presented his findings at numerous conferences, advancing global discussions on sustainable technology and environmental protection.

Profile:

Orcid

Education:


Jacob Mbarndouka Taamté’s academic journey is defined by rigorous studies in the fields of physics, electrical engineering, and industrial production. He completed his Ph.D. in Physics, specializing in Electrical and Electronic Systems, at the University of Yaoundé I in 2022. Prior to this, he earned his Master’s in Science from the University of Ngaoundéré, where he also completed his Bachelor’s and UDT degrees, specializing in industrial maintenance and production. His educational background, spanning over a decade, has provided him with a solid foundation in the development and application of advanced technologies aimed at solving complex industrial and environmental challenges.

Experience:


Jacob Taamté’s professional career spans several years in both academia and research. Since 2021, he has served as a Research Officer at the Research Center for Nuclear Science and Technology (CRSTN) at the Institute of Geological and Mining Research (IRGM) in Cameroon, where he continues to contribute to innovative research on environmental monitoring and radiation protection. He also teaches Electronics and Electrical Engineering at The Armandins Higher Institute in Yaoundé, Cameroon, guiding students in practical applications of his research. Before his current roles, Taamté worked as a teacher and supervisor in scientific clubs, mentoring young minds and promoting scientific inquiry. His work extends beyond research, as he actively engages in the development of programs aimed at promoting sustainable technological solutions in his region.

Research Interest:


Jacob Taamté’s primary research interests lie in the areas of environmental monitoring, nuclear instrumentation, and sustainable technology. He is particularly focused on the development of low-cost electronic devices for real-time monitoring of air quality, water quality, soil health, and environmental radiation. His work integrates the use of microcontrollers, embedded systems, and machine learning to design smart devices that provide real-time data for public health and safety. Taamté’s research in this domain has led to practical applications, such as radiation protection systems and air quality monitoring devices, which have been widely recognized for their impact on public health and safety, especially in Cameroon and other African countries.

Award:


Jacob Mbarndouka Taamté has earned numerous accolades for his groundbreaking research and contributions to the scientific community. In 2024, he was awarded the Special Prize at the National Technology Days in Cameroon for his innovative research in environmental monitoring. He also received the Best Young Researcher of Cameroon Award the same year, recognizing his outstanding contributions to research and technology. Additionally, Taamté was honored with the Best Young Professional Radiation Protection Scientist Award in 2022 by the International Radiation Protection Association (IRPA), reflecting his exceptional work in the field of environmental radiation measurement. His achievements underscore his leadership in scientific research and his dedication to improving public health through technology.

Publications:


Jacob Taamté has authored several influential publications in renowned scientific journals, contributing significantly to the fields of environmental monitoring, radiation protection, and low-cost technological innovations. Below are some of his key publications:

  1. Taamté, J. M., Danwé, Y. F., Folifack Signing, V. R., Gondji, D. S., Koyang, F., & Saïdou. (2025). Design of a low-cost water quality assessment device based on a reference instrument. Urban Water Journal, 1–22. [Cited by: 15]
  2. Taamte, J. M., Tchuente Siaka, Y. F., Nducol, N., Yakum-Ntaw Younui, S., Ahmadou, G., Etende Essama, R. C., … Saïdou. (2025). Smart electronic device for air quality and exposure risk assessment. Smart Science, 1–15. [Cited by: 12]
  3. Folifack Signing, V. R., Taamté, J. M., & Saïdou. (2024). IoT-based Monitoring System and Air Quality Prediction Using Machine Learning for a Healthy Environment in Cameroon. Environmental Monitoring and Assessment, 198(12). [Cited by: 25]
  4. Taamté, J. M., Kountchou Noube, M., Folifack Signing, V. R., Yerima Abba Hamadou, et al. (2024). Real-time air quality monitoring based on locally developed unmanned aerial vehicle and low-cost smart electronic device. Journal of Instrumentation, 19 P05036. [Cited by: 18]
  5. Taamté, J. M., Koyang, F., Gondji, D. S., Oumar Bobbo, M., et al. (2022). Low-cost radon monitoring with validation by a reference instrument. Instrumentation Science and Technology. [Cited by: 22]
  6. Taamté, J. M., Kountchou Noubé, M., Bodo Bertrand, et al. (2021). Low-cost air quality monitoring system design and comparative analysis with a conventional method. International Journal of Energy and Environmental Engineering, 10(4). [Cited by: 10]

Conclusion:


Jacob Mbarndouka Taamté stands out as a researcher whose work combines scientific excellence, innovative problem-solving, and a commitment to societal impact. His research has not only contributed to the advancement of environmental monitoring technology but has also provided practical solutions to pressing global challenges such as radiation protection and public health. Through his numerous accolades, publications, and active participation in international projects, Taamté has established himself as a leader in his field. His dedication to advancing scientific knowledge, particularly in developing affordable technologies for environmental monitoring, makes him a deserving candidate for the Best Researcher Award.

Mohammad Javad Mahmoodabadi | AI Engineering | Best Paper Award

Posted on by Academic achievements

Assoc. Prof. Dr. Mohammad Javad Mahmoodabadi | AI Engineering | Best Paper Award

Assoc. Prof. Dr. Mohammad Javad Mahmoodabadi | AI Engineering – Associate Professor at Sirjan University of Technology, Iran

Dr. Mohammad Javad Mahmoodabadi is an accomplished academic and researcher, currently serving as an Associate Professor in the Department of Mechanical Engineering at Sirjan University of Technology, Iran. With an impressive track record in mechanical engineering and control theory, Dr. Mahmoodabadi has made significant contributions to the fields of optimization algorithms, machine learning, and mechanical design. He is highly regarded for his innovative approaches in robotics, control engineering, and computational methods. His research has been widely published and cited, establishing him as a leader in his area. Dr. Mahmoodabadi has also played an instrumental role in mentoring graduate students, guiding them through cutting-edge research in nonlinear systems and robotics.

Professional Profile

ORCID | Scopus

Education

Dr. Mahmoodabadi’s educational background reflects a solid foundation in mechanical engineering. He earned his Ph.D. in Mechanical Engineering from the University of Guilan, Iran, in 2012. His dissertation focused on the multi-objective optimization of linear and nonlinear controllers, combining powerful optimization techniques such as Particle Swarm Optimization (PSO) and Genetic Algorithms (GA). During his Ph.D., Dr. Mahmoodabadi achieved excellent academic performance, earning a GPA of 18.80 out of 20 and a dissertation grade of 19 out of 20. Prior to this, he completed his Master’s degree in Mechanical Engineering at Shahid Bahonar University of Kerman, Iran, where his thesis dealt with elasto-static problems using meshless methods. His academic achievements have provided him with a deep understanding of both theoretical and applied mechanics, which have been pivotal in his research career.

Experience

Dr. Mahmoodabadi’s academic career spans over a decade, during which he has held several important positions. After earning his Ph.D., he served as an Assistant Professor at Sirjan University of Technology from 2012 to 2019, before advancing to the role of Associate Professor. Throughout his career, he has taught various undergraduate and graduate courses, including robotics, control of robots, linear control, fuzzy logic, and optimization. His extensive teaching experience in mechanical engineering and related disciplines has earned him recognition for his ability to convey complex concepts with clarity. In addition to his teaching roles, Dr. Mahmoodabadi has served as the head of the Department of Mechanical Engineering and the Graduate Student Office at his university. His leadership has contributed to the development of academic programs and research initiatives within the department.

Research Interests

Dr. Mahmoodabadi’s research interests are diverse, with a primary focus on control theory, machine learning, computational methods, and optimization algorithms. He has worked on various topics such as adaptive robust control, fuzzy logic systems, and multi-objective optimization in the context of nonlinear dynamic systems. His research also extends to robotics, where he has developed novel control strategies for autonomous systems. Additionally, Dr. Mahmoodabadi’s work on mechanical design and analysis of complex systems has led to innovative solutions in both theoretical and applied engineering. His approach integrates computational techniques with practical applications, particularly in optimization and control engineering.

Awards

Throughout his career, Dr. Mahmoodabadi has received numerous accolades for his contributions to research and teaching. His excellence in academic leadership and groundbreaking research has earned him recognition within his institution and the broader academic community. Notably, his work in the development of control algorithms and optimization methods has received significant attention from his peers, reflected in his high citation count and his role as a mentor to graduate students. Although Dr. Mahmoodabadi has not explicitly listed awards in the traditional sense, his impact on the academic and research community through his publications, patents, and leadership roles can be considered as a testament to his achievements.

Publications

M.J. Mahmoodabadi, N.R. Babak, Pareto optimum design of an adaptive robust backstepping controller for an unmanned aerial vehicle, Asian Journal of Control (2022). 📚
R. Abedzadeh Maafi, S. Etemadi Haghighi, M.J. Mahmoodabadi, A novel multi-objective optimization algorithm for Pareto design of a fuzzy full state feedback linearization controller applied on a ball and wheel system, Transactions of the Institute of Measurement and Control 44 (7) (2022), 1388–1409. 🛠
M.J. Mahmoodabadi, S. Hadipour Lakmesari, Optimal design of an adaptive robust controller using a multi-objective artificial bee colony algorithm for an inverted pendulum system, Transactions of the Canadian Society for Mechanical Engineering 46 (1) (2022), 89–102. 📈
S.H. Lakmesari, M.J. Mahmoodabadi, Adaptive sliding mode control of HIV-1 infection model, Informatics in Medicine Unlocked 25 (2021), 100703. 💡
M.J. Mahmoodabadi, Moving least squares approximation-based online control optimized by the team game algorithm for Duffing-Holmes chaotic problems, Cyber-Physical Systems 7 (2) (2021), 1-21. ⚙️
M.J. Mahmoodabadi, A.R. Nemati, A new optimum numerical method for analysis of nonlinear conductive heat transfer problems, Journal of the Brazilian Society of Mechanical Sciences and Engineering 43 (5) (2021), 1-8. 🔥
R. Abedzadeh Maafi, S. Etemadi Haghighi, M.J. Mahmoodabadi, Pareto optimal design of a fuzzy adaptive hierarchical sliding-mode controller for an XZ inverted pendulum system, IETE Journal of Research (2021). 🔄

Conclusion

Dr. Mohammad Javad Mahmoodabadi’s academic and research career exemplifies excellence in mechanical engineering and control systems. His innovative work in optimization algorithms, machine learning, and mechanical design has earned him recognition as a leader in his field. With a strong publication record and significant contributions to the academic community, he is a well-deserving candidate for the “Best Researcher Award.” His ability to blend theoretical advancements with practical applications, along with his mentorship of future researchers, positions him as a key figure in the development of engineering solutions for complex systems. Dr. Mahmoodabadi’s dedication to advancing knowledge, combined with his academic leadership and impactful research, makes him an outstanding nominee for this prestigious award.

AHMADOU MUSTAPHA FONTON MOFFO | Machine Learning | Best Researcher Award

Posted on by Academic achievements

Dr. AHMADOU MUSTAPHA FONTON MOFFO | Machines Learning | Best Researcher Award 

Economist | UNESCO | Canada

Short Bio 🌟

Ahmadou Mustapha FONTON is a distinguished economist based in Montréal, Canada, with a Ph.D. in Economics from the Université du Québec à Montréal. Specializing in macroeconomics, financial economics, and applied econometrics, FONTON excels in leveraging machine learning and big data to inform policy decisions and develop robust risk models. His extensive professional experience includes roles at UNESCO and the Ministry of Scientific Research in Cameroon, reflecting his dedication to advancing economic research and policy.

Profile

Google Scholar

Strengths for the Award

  1. Extensive Expertise and Experience: Dr. Fonton brings a wealth of experience in both academic and non-academic settings. His role as an economist at UNESCO and previous positions demonstrate a solid track record in applied econometrics, macroeconomics, and financial economics. His contributions to data collection, statistical analysis, and policy evaluation underscore his broad expertise.
  2. Advanced Technical Skills: His proficiency with a diverse set of software tools (PYTHON, R, MATLAB, STATA, SPSS, etc.) and techniques, including machine learning and big data analysis, highlights his technical acumen. This expertise is critical for modern economic research, especially in forecasting and analyzing complex economic phenomena.
  3. Strong Research Output: Dr. Fonton’s publication record, including his recent work on machine learning in stress testing US banks, demonstrates his ability to contribute valuable insights to the field of economics. His working papers and conference presentations further reflect his active engagement in cutting-edge research.
  4. Academic and Teaching Experience: His roles as a research assistant and instructor at Université du Québec à Montréal and Institut Siantou Superieur show a strong background in teaching and mentoring. This experience is important for fostering new talent and advancing the field through education.
  5. International Perspective and Multilingual Skills: Dr. Fonton’s international experience, combined with his multilingual abilities (English, French, and Bamoun), provides him with a unique perspective on global economic issues. This is especially relevant in the context of UNESCO’s work and cross-border research collaborations.
  6. Policy Impact: His involvement in projects that influence policy, such as his work on forecasting time series for UNESCO and his previous consulting roles, indicates a strong capacity for translating research into practical recommendations. This aligns well with the goals of the Research for Best Researcher Award, which often emphasizes practical impacts of research.

Areas for Improvement

  1. Broader Publication Record: While Dr. Fonton has a notable publication in the International Review of Financial Analysis and several working papers, increasing his publication count in high-impact journals could strengthen his profile further. Broadening his research topics or collaborating on interdisciplinary studies might also enhance his visibility in different research circles.
  2. Increased Collaboration and Networking: Engaging in more collaborative research projects and expanding his network within the global research community could open up additional opportunities for impactful research and visibility. This could involve co-authoring papers with researchers from diverse backgrounds or participating in more international conferences.
  3. Focus on Long-term Projects: While Dr. Fonton’s work on various projects is commendable, focusing on longer-term research initiatives might yield more significant and sustained contributions to the field. Developing comprehensive research programs or longitudinal studies could be beneficial.
  4. Enhanced Public Engagement: Increasing efforts to communicate his research findings to the public and policymakers could amplify the impact of his work. This might include writing policy briefs, engaging in media outreach, or participating in public lectures and forums.

Education 🎓

  • 2023: Ph.D. in Economics, Université du Québec à Montréal, Canada
  • 2010: M.Sc. in Economics, Université Catholique de Louvain, Belgium
  • 2005: B.Sc. in Statistics, ISSEA Yaoundé, Cameroon
  • 2000: Certificate in Mathematics, Cameroon

Experience 💼

2023–Present: Economist-Statistician, UNESCO Institute of Statistics, Canada
Leading data collection and processing for Science and Culture Annual Surveys, developing new survey instruments, and producing statistical reports.

2012–2017: Coordinator of Statistical Projects, Ministry of Scientific Research, Cameroon
Directed national statistical surveys, analyzed data on Research and Development, and assisted in organizing expert meetings and seminars.

2009–2012: Economist, Ministry of Economy and Planning, Cameroon
Monitored macroeconomic indicators and developed socio-economic analyses to guide policy decisions.

2008: Credit Analyst, Afriland First Bank, Cameroon
Analyzed credit portfolios and managed risk assessments to support the bank’s credit-granting process.

Research Interests 🔍

Main Interests:

  • Econometrics (Forecasting, Machine Learning, Big Data Analysis)

Secondary Interests:

  • Macroeconomics
  • Microeconometrics
  • Finance

FONTON’s research integrates advanced econometric models with machine learning techniques to explore macro-financial linkages and evaluate economic policies.

Award 🏅

Ahmadou Mustapha FONTON has been recognized for his contributions to economic research and policy development through various grants and academic accolades. His innovative work in econometrics and machine learning positions him as a leading candidate for prestigious research awards.

Publications 📚

  1. “A machine learning approach in stress testing US bank holding companies” – Accepted for publication in International Review of Financial Analysis (2024). Read Here

Conclusion

Dr. Ahmadou Mustapha FONTON is a highly qualified candidate for the Research for Best Researcher Award. His extensive experience in econometrics, macroeconomics, and financial economics, coupled with his technical skills and policy impact, positions him as a strong contender. His research contributions, combined with his international perspective and teaching experience, align well with the objectives of the award. Addressing the areas for improvement, such as increasing his publication record and expanding his collaborative efforts, could further enhance his candidacy. Overall, Dr. Fonton’s profile reflects a distinguished researcher with a promising trajectory in the field of economics.

Mfano Charles | Applied mathematics and Computational science | Best Researcher Award

Posted on by Academic achievements

Mr. Mfano Charles | Applied mathematics and Computational science | Best Researcher Award

Assistant lecturer | College Of Business Education | Tanzania

Short Biography 📜

Mfano Charles Petro is currently pursuing a PhD in Mathematics and Computational Science and Engineering at the Nelson Mandela African Institution of Science and Technology. With a Master’s degree specializing in Applied Mathematics and Computational Sciences and a background in Education, Mfano aims to apply physics and mathematics to solve complex problems in various fields including Biology, Environment, and Technology.

Profile

Google Scholar

Education 🎓

Mfano Charles Petro’s academic journey includes:

  • PhD in Mathematics and Computational Science and Engineering (2022 – Present) – Nelson Mandela African Institution of Science and Technology
  • Master’s degree in Mathematical and Computer Science specializing in Applied Mathematics and Computational Sciences (2017 – 2019) – Nelson Mandela African Institution of Science and Technology
  • B.Sc. with Education (Mathematics & Physics) (2009 – 2012) – Mwenge University College of Education
  • Advanced Certificate of Secondary Education (ACSE) (2006 – 2008) – Tarime Secondary School
  • Certificate of Secondary Education (CSE) (2002 – 2005) – Busolwa Secondary School
  • Certificate of Primary Education (1995 – 2001) – Nyakato Primary School

Experience 💼

As an Assistant Lecturer at the College of Business Education since 2019, Mfano conducts lectures, seminars, and tutorials, supervises projects, and conducts research in Mathematics and Computational Science. Previous roles include teaching assistant positions at Wama-Nakayama Girls Secondary School and Agape Lutheran Junior Seminary.

Research Interest 🧠

Mfano’s research interests encompass:

  • Mathematical Epidemiology & Population Dynamics Modelling
  • Data Science, Machine Learning, and Computer Programming
  • ODEs & PDEs, Stability Analysis, Optimal Control, and Stochastic Processes

Award 🏆

Mfano has received the 2022 Scholarship Award from the College of Business Education and the 2017 African Development Bank (AfDB) scholarship for his Master’s degree in Applied Mathematics and Computational Science. He was also recognized as the Best Student in Mathematics at Busolwa Secondary School in 2005.

Publications 📚

  • Modelling and Numerical Simulation of Harvested Prey-Predator System Incorporating A Prey Refuge (2018) – Journal of Mathematical Theory and Modelling

Award Nomination Application Form 📝

Mfano Charles Petro is nominated for his outstanding academic achievements and contributions to the field of Mathematics and Computational Science. His research on mathematical modelling and simulation has been published in reputable journals, demonstrating his expertise in applied mathematics and computational sciences. Mfano’s dedication to teaching and research, coupled with his scholarship awards, exemplifies his commitment to advancing knowledge and solving real-world problems through innovative approaches in mathematics and computational science.