Jean Daniel Mukam | Numerical methods | Best Researcher Award

Published on by Academic Achievements

Dr. Jean Daniel Mukam | Numerical methods | Best Researcher Award

Dr. Jean Daniel Mukam | Numerical methods – Researcher at University of Wuppertal, Germany

Dr. Jean Daniel Mukam is a rising scholar in applied mathematics whose work centers on the numerical analysis of stochastic partial differential equations (SPDEs), an area with broad applications in modeling random phenomena in physical, biological, and financial systems. With a commitment to mathematical rigor and interdisciplinary collaboration, he has made significant contributions to the convergence, stability, and implementation of finite element and Rosenbrock-type methods for SPDEs. His scholarly journey spans across Germany, Cameroon, and Senegal, reflecting a rich blend of international training, academic versatility, and research excellence. Known for his methodical approach and innovative algorithms, Dr. Mukam continues to shape the future of stochastic numerical analysis with impactful publications and recognized achievements.

🎓Academic Profile

Orcid | Scopus | Google Scholar

🎓 Education

Dr. Mukam’s academic path is marked by strong foundations and prestigious fellowships. He obtained his Master’s degree in Mathematics with a specialization in partial differential equations (PDEs) from the University of Yaoundé I in Cameroon. He further pursued a Master of Science in Mathematical Sciences at the African Institute for Mathematical Sciences (AIMS-Senegal), a pan-African center of excellence. Supported by a DAAD scholarship, he undertook Ph.D. studies in Mathematics at Chemnitz University of Technology in Germany, where he focused on SPDEs and numerical approximation techniques. His doctoral work earned recognition through a DAAD Prize for academic excellence and outstanding presentation, reinforcing his potential as a future research leader.

💼 Experience

Dr. Mukam has accumulated a solid portfolio of research and teaching roles. He began his academic career as a mathematics teacher in Cameroon, building pedagogical skills that he later brought to his roles in higher education. From 2018 to 2021, he served as a Research and Teaching Assistant at Chemnitz University of Technology, where he contributed to the Analysis Group and supported undergraduate instruction. He then held successive postdoctoral positions at the University of Bielefeld and the University of Wuppertal, both in Germany, focusing on the numerical treatment of SPDEs. His responsibilities included publishing peer-reviewed articles, supervising student projects, and participating in German Research Foundation (DFG)-funded initiatives.

🔬 Research Interest

Dr. Mukam’s primary research domain lies at the intersection of stochastic analysis and numerical mathematics. His interests include the development, convergence analysis, and computational implementation of numerical schemes for SPDEs, particularly those with additive and multiplicative noise structures. He has worked extensively on stochastic Rosenbrock-type methods, finite element discretizations, Magnus integrators, and split-step schemes. More recently, he has explored stochastic Port-Hamiltonian equations, combining geometric and stochastic frameworks. His work addresses both theoretical convergence rates and practical stability, pushing the boundaries of reliable simulation in stochastic modeling.

🏆 Award

Throughout his academic journey, Dr. Mukam has earned multiple accolades. He received the DAAD Prize for Best Foreign Student at Chemnitz University of Technology, highlighting both his academic excellence and his cross-cultural engagement in the research community. In 2020, he was selected as one of the top three presenters at the AIMS-TU Chemnitz Minisymposium on Applied Mathematics, held as part of the Annual Meeting of the German Mathematical Society. Additionally, he has been the recipient of full scholarships for graduate studies and short-term research stays supported by the DFG and DAAD, reflecting consistent academic merit and research promise.

📚 Publications

📘 “Numerical approximation of the stochastic Cahn-Hilliard equation with space-time white noise near the sharp interface limit,” IMA Journal of Numerical Analysis, 2024 – Cited for stochastic interface modeling.
🧮 “Improved estimates for the sharp interface limit of the stochastic Cahn–Hilliard equation,” Interfaces and Free Boundaries, 2024 – Referenced in recent PDE stability studies.
🔢 “Weak convergence of the Rosenbrock Semi-implicit Method for semilinear parabolic SPDEs,” Computational Methods in Applied Mathematics, 2024 – Used in Rosenbrock scheme research.
🧑‍🔬 “Weak convergence of the finite element method for semilinear SPDEs with additive noise,” Results in Applied Mathematics, 2023 – Applied in finite element simulations.
📈 “Higher order stable schemes for stochastic convection-reaction-diffusion equations,” Mathematical Methods in the Applied Sciences, 2021 – Influences numerical diffusion modeling.
💡 “Strong convergence of the linear implicit Euler method for semilinear non-autonomous SPDEs,” Applied Numerical Mathematics, 2020 – Frequently cited in numerical SPDE studies.
🧠 “Magnus-type integrator for finite element discretization of SPDEs with multiplicative noise,” Discrete and Continuous Dynamical Systems – A, 2020 – Referenced in stochastic integrator analyses.

✅ Conclusion

Dr. Jean Daniel Mukam exemplifies the qualities of a future academic leader—rigorous, methodical, and collaborative. His research addresses core challenges in SPDE modeling and algorithm development, making significant contributions to the advancement of stochastic numerical methods. With an impressive portfolio of publications, research funding, teaching, and international engagement, he has firmly established himself as a highly impactful and emerging figure in the global applied mathematics community. His intellectual contributions, commitment to mathematical excellence, and growing influence across interdisciplinary fields make him a highly deserving nominee for the Best Researcher Award.

Shakoor Ahmad | Computational Mathematics | Best Researcher Award

Published on by Academic Achievements

Dr. Shakoor Ahmad | Computational Mathematics | Best Researcher Award

Assistant Professor at TMUC H11 Islamabad, Pakistan

Dr. Shakoor Ahmad is a distinguished mathematician known for his expertise in mathematical modeling and applied mathematics. With a deep passion for research and education, he has significantly contributed to the field, particularly in modeling complex systems and decision-making processes. Dr. Ahmad’s career has spanned various prestigious institutions where he has demonstrated a strong commitment to both academic excellence and impactful research. His publications in high-impact journals, coupled with his extensive teaching experience, reflect his dedication to advancing mathematics and its real-world applications. He is a well-regarded figure in academia, actively pushing the boundaries of mathematical research.

Profile

Google Scholar

Education

Dr. Ahmad holds a Ph.D. in Mathematics from COMSATS University Islamabad, completed between 2018 and 2023. His doctoral research focused on the “Modeling and Simulation of Fractional Differential Equations with Applications in Epidemiology and Financial Mathematics,” where he developed innovative approaches for solving complex mathematical problems. Prior to his Ph.D., he earned an MS in Mathematics from COMSATS University with a CGPA of 3.76/4.00, demonstrating his academic excellence. His foundational education in mathematics began with a BS from the University of Sargodha, where he graduated with a strong understanding of mathematical principles. Additionally, Dr. Ahmad holds a Bachelor of Education, further highlighting his dedication to the teaching profession.

Experience

Dr. Ahmad has accumulated extensive teaching experience, starting as a lecturer at Nishat Degree College in Islamabad, where he taught FSc and BSc students. His teaching journey continued with roles as a visiting lecturer at the University of Sargodha, Federal Urdu University Islamabad, and ARID Agriculture University. In these roles, he taught a variety of courses, including basic mathematics, numerical analysis, and multivariable calculus. Dr. Ahmad’s experience extends to visiting assistant professor positions at renowned institutions such as RIPHA International University and the Uswa Institute of Higher Education. Currently, he serves as a visiting assistant professor at TMUC, Islamabad, teaching courses like discrete mathematics and mechanics. His teaching career is marked by versatility, covering topics across different levels of mathematics education.

Research Interest

Dr. Ahmad’s research interests lie at the intersection of mathematical modeling, fractional differential equations, and decision-making algorithms. His doctoral research tackled real-world applications in epidemiology and finance, where he developed mathematical models to simulate disease spread and analyze financial systems. Additionally, Dr. Ahmad is interested in multi-criteria decision-making and sustainable energy management, where his research explores innovative methods for optimizing systems under uncertainty. He actively applies mathematics to solve pressing societal issues, and his work has implications in fields ranging from public health to renewable energy. Dr. Ahmad’s research is characterized by a blend of theoretical depth and practical relevance, aiming to address contemporary challenges.

Awards

Dr. Ahmad has been the recipient of several scholarships and awards, recognizing his academic achievements and contributions. During his MS studies, he was awarded the PEEF Scholarship, a prestigious scholarship aimed at high-achieving students. He also received the NEST Scholarship during his Ph.D., further demonstrating his consistent academic excellence. Additionally, Dr. Ahmad was recognized by the Prime Minister’s Laptop Scheme, receiving a laptop for his outstanding performance in his MS program. These accolades highlight his dedication to academic growth and his potential to make significant contributions to the field of mathematics.

Publications

Ahmad, S., Javeed, S., Ahmad, H., Khushi, J., Elagan, S.K., & Khames, A. (2021). Analysis and Numerical Solution of Novel Fractional Model for Dengue. Results in Physics, vol. 28, 104669. Impact Factor: 4.476.

Ashraf, S., Ahmad, S., Naeem, M., Riaz, M., & Alam, M.A. (2022). Novel EDAS Methodology Based on Single-Valued Neutrosophic Aczel-Alsina Aggregation Information. Complexity, vol. 2022, 2394472. Impact Factor: 2.121.

Ahmad, S., Javeed, S., Raza, S., & Baleanu, D. (2022). A Novel Fractional Model for Projection of Households using Wealth Index Quintiles. PLOS ONE, 17(11), e0277472. Impact Factor: 3.752.

Ashraf, S., Chohan, M.S., Ahmad, S., Hameed, S., & Khan, F. (2023). Decision Aid Algorithm for Kidney Transplants Under Circular Spherical Fuzzy Sets. IEEE Access, 11, 122029-122044. Impact Factor: 3.9.

Ashraf, S., Iqbal, W., Ahmad, S., & Khan, F. (2023). Circular Spherical Fuzzy Sugeno Weber Aggregation Operators. IEEE Access, 11, 124920-124941. Impact Factor: 3.9.

Ashraf, S., Jana, C., Sohail, M., Choudhary, R., Ahmad, S., & Deveci, M. (2024). Multi-criteria Decision-making Model Based on Picture Hesitant Fuzzy Soft Set Approach. Information Sciences, 686, 121334. Impact Factor: 3.7.

Conclusion

Dr. Shakoor Ahmad’s dedication to mathematics is evident in his extensive teaching experience, impactful research contributions, and academic achievements. His research not only advances theoretical mathematics but also provides practical solutions to real-world challenges. Dr. Ahmad’s continuous pursuit of academic excellence, coupled with his recognition through awards and scholarships, demonstrates his potential to make a lasting impact in his field. He is a strong candidate for the “Best Researcher Award,” showcasing a commitment to advancing mathematical knowledge and solving pressing societal issues through innovative research.