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

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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.

Monika Nagy-Huber | Machine Learning | Best Researcher Award

Posted on by Academic achievements

Mrs. Monika Nagy-Huber | Machine Learning | Best Researcher Award

Ms. Universität Basel, Switzerland

Monika Timea Nagy-Huber is currently pursuing a PhD in Computer Science at the University of Basel, specializing in Physics-informed Machine Learning Algorithms under the supervision of Prof. Dr. Volker Roth in the Biomedical Data Analysis research group. She earned her Master of Science in Mathematics from the same university, focusing on Numerics (Partial Differential Equations for Wave Equations) and Algebra-Geometry-Number Theory (Elliptic Curves). Her master’s thesis, titled “The Local Discontinuous Galerkin Method with Local Time Stepping Method for solving the Wave Equation,” received a grade of 5.5. Monika also holds a Bachelor of Science in Mathematics from the University of Basel, completed in 2016.

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Personal Data 🌐

Last Name: Nagy-Huber
First Name: Monika Timea
E-Mail: monika.nagy@unibas.ch
Nationality: Swiss

University Education 🎓

PhD in Computer Science, University of Basel
09/2019 – Present

Supervisor: Prof. Dr. Volker Roth

Research Group: Biomedical Data Analysis

Specialization: Physics-informed Machine Learning Algorithms

Master of Science in Mathematics, University of Basel
02/2016 – 02/2019

Areas of Specialization: Numerics (Partial Differential Equations for Wave Equations), Algebra-Geometry-Number Theory (Elliptic Curves)

Master’s Thesis: “The Local Discontinuous Galerkin Method with Local Time Stepping Method for solving the Wave Equation”

Grade: 5.5

Supervisor: Prof. Dr. Marcus J. Grote

Bachelor of Science in Mathematics, University of Basel
09/2011 – 02/2016

Publications:

The effect of lysergic acid diethylamide (LSD) on whole-brain functional and effective connectivity

CITED BY 17

Learning invariances with generalised input-convex neural networks

CITED BY 5

Mesh-free Eulerian Physics-Informed Neural Networks

CITED BY 1

Mesh-free Eulerian physics-informed neural networks

CITED BY 1

V. Aravinda Rajan – Machine Learning – Best Researcher Award

Posted on by Academic achievements

V. Aravinda Rajan - Machine Learning - Best Researcher Award

Kalasalingam Academy of Research and Education - India

Professional Profiles

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Early Academic Pursuits

Mr. V. Aravinda Rajan's academic journey commenced with a Bachelor's degree in Electronics & Communication Engineering from Oxford Engineering College, affiliated with Anna University, Chennai, in 2008. Building upon this foundation, he pursued a Master's degree in Communication Systems from Anand Institute of Higher Technology, also affiliated with Anna University, Chennai, in 2010. His thirst for knowledge led him to embark on a part-time Ph.D. program in Information and Communication at Anna University, Chennai, where he is currently pursuing advanced research.

Professional Endeavors

Mr. Aravinda Rajan's professional journey spans several academic institutions, where he has made significant contributions to the field of Computer Science and Engineering. He commenced his career as a Lecturer at Apollo Engineering College, Chennai, in July 2010, before transitioning to K.L.N College of Engineering, Madurai, where he served as an Assistant Professor from December 2010 to May 2023. Currently, he holds the position of Assistant Professor at Kalasalingam Academy of Research and Education, Krishnankovil, since June 2023.

Contributions and Research Focus

Mr. Aravinda Rajan's expertise lies in the realm of Information and Communication, with a focus on advancing communication systems. His ongoing Ph.D. research at Anna University, Chennai, underscores his commitment to exploring innovative solutions in this domain. Throughout his tenure as an academician, he has been actively involved in imparting knowledge and fostering intellectual curiosity among his students. His dedication to research and teaching has contributed to the development of aspiring engineers in the field of Computer Science and Engineering.

Accolades and Recognition

Mr. Aravinda Rajan's contributions to academia have been recognized through various accolades and achievements. His commitment to excellence in teaching and research has earned him respect and admiration from his peers and students alike. Additionally, his scholarly endeavors have been acknowledged by academic institutions and professional bodies, further cementing his reputation as a proficient educator and researcher in the field of Information and Communication.

Impact and Influence

Mr. Aravinda Rajan's influence extends beyond the confines of the classroom, as he plays a pivotal role in shaping the future of Computer Science and Engineering. Through his mentorship and guidance, he instills a passion for learning and innovation in his students, empowering them to become future leaders in the field. His research endeavors have the potential to drive technological advancements and address real-world challenges, thereby leaving a lasting impact on society.

Legacy and Future Contributions

As Mr. Aravinda Rajan continues his academic journey, his legacy is poised to endure through the impact of his research, teaching, and mentorship. His dedication to advancing the frontiers of Information and Communication technology sets a precedent for future generations of engineers and researchers. With a vision to harness the power of technology for societal good, he envisions contributing significantly to the advancement of Computer Science and Engineering, leaving an indelible mark on the academic landscape.

Notable Publications

Secure IoT systems using raspberry Pi machine learning artificial intelligence  2020