Joseph Odunayo Braimah | Mathematics | Young Scientist Award

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Dr. Joseph Odunayo Braimah | Mathematics
| Young Scientist Award

Ambrose Alli University, Ekpoma, Nigeria | Nigeria

Dr. Joseph Odunayo Braimah is a Nigerian statistician and academic whose expertise spans industrial statistics, reliability engineering, acceptance sampling, biostatistics, and applied statistical modelling. He holds a Ph.D. in Statistics from the University of Ilorin, Nigeria, where his doctoral research focused on evaluating the performance of truncated sampling plans. He also earned an M.Sc. and B.Sc. in Statistics from the same institution, along with a Postgraduate Diploma in Education from the National Teachers’ Institute, Kaduna. He currently serves as a Lecturer I in the Department of Mathematics and Statistics at Ambrose Alli University, Ekpoma, Nigeria. In 2024, he completed a competitive Postdoctoral Research Fellowship at the University of the Free State, South Africa, within the Department of Mathematical Statistics and Actuarial Sciences. His earlier academic roles at Al-Hikmah University and AROIF College of Advanced Studies reflect his strong contributions to teaching, curriculum development, and student mentorship. Dr. Braimah’s research covers statistical quality control, time-to-event modelling, medical statistics, epidemiology, time series analysis, and probability distributions. He has authored over 70 Scopus-indexed publications in reputable international journals and has collaborated extensively with scholars across Africa, including South Africa and Zimbabwe. His work advances understanding in public health analytics, product reliability, epidemic monitoring, and industrial process optimization. He has also developed multiple new probability distributions and innovative acceptance sampling schemes that support decision-making in quality management and risk assessment. His current project, the National Road Traffic Crash Risk Index (NRTCRi), employs spatial and multiscale statistical modelling to assess and predict road-traffic crash risks across Nigeria, contributing to improved national safety policies. He also holds the Google Data Analytics Professional Certificate and is a registered member of the Teachers’ Registration Council of Nigeria.

Featured Publications

Braimah, J. O., Sule, I., Bello, O. A., & Correa, F. M. (2025). A new modified extended generalized inverted exponential (NMEGIEx) distribution: A distribution for flexible and accurate data analysis. Contemporary Mathematics, 6. https://doi.org/10.37256/cm.6620257771

Braimah, J. O., & Correa, F. M. (2025). Reliability assessment of products with Weibull lifetimes: A two-sided linked lots deferred sampling plan (T-SLLDSP). Scientific African. https://doi.org/10.1016/j.sciaf.2025.e03039

Omaku, P. E., Braimah, J. O., & Correa, F. M. (2025). Bayesian accelerated failure time model for zero-inflated survival data with application to liver cirrhosis. Journal of Probability and Statistics, (Wiley), 1–12. https://doi.org/10.1155/jpas/5562074

Umut Selvi | Ankara Hacı Bayram Veli University | Best Researcher Award

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Mr. Umut Selvi l Mathematics | Best Researcher Award

Ankara Hacı Bayram Veli University | Turkey

 Mr. Umut Selvi centers on advanced mathematical structures, focusing on algebraic geometry, matrix theory, and their applications in both theoretical and computational mathematics. His doctoral and postgraduate work explores the geometry of Lie algebroids and non-Newtonian parallel surfaces, contributing to a deeper understanding of modern geometric frameworks that bridge algebra and analysis. Selvi has co-authored several studies on spectral norms of circulant matrices involving Chebyshev polynomials and Fibonacci quaternions, providing explicit formulas and extending the theoretical foundations of matrix norms. His research in these areas enhances the computational methods used in engineering and applied sciences. Additionally, his collaborative book chapters and editorial contributions in mathematical publications such as Mathematical Methods for Engineering Applications and Recent Developments in Mathematics reflect a strong engagement in the dissemination of mathematical innovation. Through presentations at international conferences, including those on geometry and mathematical education, Selvi has shared insights on generalized multiplicative cross products, Euclidean norms, and Lie algebraic structures on vector spaces. His work emphasizes analytical precision, structural symmetry, and the unification of abstract algebraic concepts with geometric intuition, advancing the field of pure mathematics with applications in natural and computational sciences.

Featured Publication

Selvi, U. (2025). An explicit formula for spectral norms of circulant matrices with Chebyshev polynomials. Acta Mathematica Universitatis Comenianae, 94(1), 1–5.

Reshma R | Mathematics | Best Scholar Award

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Ms. Reshma R l Mathematics | Best Scholar Award

Amrita Vishwa Vidyapeetham, Coimbatore | India

Ms. Reshma R is a dedicated researcher in applied and computational mathematics, with her work primarily focusing on nonlinear dynamics, fractional-order systems, and neural network synchronization. Her research explores the mathematical modeling, control, and stability analysis of complex systems with applications in secure communication and biometric image encryption. She has published in high-impact journals such as Communications in Nonlinear Science and Numerical Simulation and Mathematical Methods in the Applied Sciences, contributing to advancements in Mittag-Leffler synchronization, hybrid control strategies, and event-triggered systems. Her studies on fractional-order disturbed chaotic neural networks and Lyapunov-based stability conditions offer innovative approaches to enhancing security and robustness in image communication systems. Additionally, her work on hybrid event-triggered singular time-delay systems presents new methodologies for exponential stabilization, bridging theoretical mathematics with engineering applications. Ms. Reshma’s interdisciplinary approach integrates differential calculus, control theory, and computational modeling, reflecting her strong analytical foundation and research depth. She actively participates in national and international conferences, engaging with emerging areas in nonlinear complex systems and mathematical modeling. Her commitment to mathematical innovation and interdisciplinary collaboration underpins her growing impact within the mathematical sciences research community.

Featured Publications

Ramaswami, R., Arumugam, V., & Pathmanaban, S. (2026). Mittag-Leffler synchronization of fractional order disturbed chaotic neural networks with varying time-delay using hybrid controller and its application to biometric image encryption. Communications in Nonlinear Science and Numerical Simulation, 119, 109350. https://doi.org/10.1016/j.cnsns.2025.109350

Ramaswami, R., Arumugam, V., & Pathmanaban, S. (2025). Lyapunov conditions for the finite-time stability of fractional order disturbed nonlinear systems and neural networks: The secure image communication using encryption. Communications in Nonlinear Science and Numerical Simulation, 117, 108716. https://doi.org/10.1016/j.cnsns.2025.108716

Ramaswami, R., Thoppilkalam, N. V., Arumugam, V., & Alzabut, J. (2024). Exponential stabilization of hybrid event-triggered singular time-delay systems. Mathematical Methods in the Applied Sciences, 47(14), 10190. https://doi.org/10.1002/mma.10190

Hemalatha K | Mathematics | Best Researcher Award

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Dr. Hemalatha K | Mathematics
| Best Researcher Award

Chennai Institute of Technology, Chennai | India

Dr. Hemalatha K is an accomplished mathematician and researcher specializing in theoretical seismology and wave propagation, currently serving as an Assistant Professor at the Center for Nonlinear Systems, Chennai Institute of Science and Technology, Tamil Nadu, India, since February 2025. She earned her Ph.D. in Mathematics (2024) from SRM Institute of Science and Technology, Chennai, with her thesis titled “Theoretical Study of Elastic Wave Propagation in Anisotropic and Functionally Graded Layered Media.” Her academic foundation includes an M.Sc. in Mathematics with outstanding distinction from Bishop Heber College, Trichy and a B.Sc. in Mathematics from Holy Cross College, Trichy. With over three years of research experience, Dr. Hemalatha has made significant contributions to the field through 17 peer-reviewed international journal publications, achieving a cumulative impact factor. Her recent research includes advanced studies on flexoelectric coupling, interfacial imperfections, and wave behavior in functionally graded and piezoflexoelectric materials, published in reputed Q1–Q3 indexed journals such as Mathematics (MDPI) and Journal of Mechanical Science and Technology (Springer). She holds professional identifiers including ORCID (0000-0002-9355-5747) reflecting her growing international academic recognition.

Profile: Google Scholar | Orcid

Featured Publication

1. Hemalatha, K., Kumar, S., & Prakash, D. (2023). Dispersion of Rayleigh wave in a functionally graded piezoelectric layer over elastic substrate. Forces in Mechanics, 10, 100171. https://doi.org/10.1016/j.finmec.2023.100171

2. Hemalatha, K., Kumar, S., & Kim, I. (2024). Study of SH-wave in a pre-stressed anisotropic magnetoelastic layer sandwich by heterogeneous semi-infinite media. Mathematics and Computers in Simulation, 222, 225–241. https://doi.org/10.1016/j.matcom.2024.01.015

3. Hemalatha, K., Kumar, S., & Akshaya, A. (2023). Rayleigh wave at imperfectly corrugated interface in FGPM structure. Coupled Systems Mechanics, 12(4), 337–364. https://doi.org/10.12989/csm.2023.12.4.337

4. Akshaya, A., Kumar, S., & Hemalatha, K. (2024). Behaviour of transverse wave at an imperfectly corrugated interface of a functionally graded structure. Physics of Wave Phenomena, 32(2), 117–134. https://doi.org/10.3103/S1541308X24020023

5. Hemalatha, K., & Kumar, S. (2024). Propagation of SH wave in a rotating functionally graded magneto-electro-elastic structure with imperfect interface. Journal of Vibration Engineering & Technologies, 12(7), 8383–8397. https://doi.org/10.1007/s42417-024-01007-5

6. Akshaya, A., Kumar, S., & Hemalatha, K. (2025). Propagation of shear horizontal wave at magneto-electro-elastic structure subjected to mechanically imperfect interface. Mechanics of Advanced Composite Structures, 12(1), 97–114. https://doi.org/10.22075/macs.2025.32784.1550

 

Antonio | Mathematical Models | Young Researcher Award

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Dr. Antonio | Mathematical Models | Young Researcher Award

University of Genoa | Italy

Dr. Antonio is a highly skilled mechanical and simulation engineer with expertise in computer-aided design, numerical simulation, and structural and thermofluid dynamic analysis. He is currently working as a Project Engineer at Defence Tech, where he specializes in 2D and 3D CAD design, finite element method (FEM) analysis, computational fluid dynamics (CFD), and HVAC system design. Antonio earned his PhD in Simulation Engineering from the University of Genoa, where his research focused on the development of numerical models, data analysis, and experimental validation of prototypes. He also holds a Master’s degree in Mechanical, Energy, and Aeronautical Engineering from the University of Genoa and a Bachelor’s degree in Industrial Engineering from the University of Salento, where he graduated with strong academic achievements. His previous professional experience includes working as a Simulation Engineer at Space V, where he contributed to model development, data-driven simulation, and prototype testing. Antonio has complemented his technical expertise with certifications in occupational safety, environmental management systems, and quality management systems. Fluent in Italian and proficient in English at a B2 level, he possesses strong programming and computational skills in Python, MATLAB, C++, SQL, and VBA, alongside proficiency in technical writing with LaTeX and productivity tools such as Microsoft Office. His software expertise extends to simulation platforms like ANSYS and Simulink, as well as design tools including AutoCAD, ProgeCAD, and SketchUp. Known for his adaptability and problem-solving approach, Antonio demonstrates soft skills in teamwork, time management, proactivity, and continuous learning. Beyond his academic and professional pursuits, he is a certified Muay Thai instructor, an active volunteer in pediatric care, and an advocate for applying engineering to societal benefit. With a strong foundation in applied engineering and a commitment to innovation, Antonio is establishing himself as a dynamic professional bridging research, simulation, and industrial applications.

Featured Publications

De Donno, A., Tagliafico, L. A., & Bagnerini, P. (2025). Innovation in vertical farming: A model-based energy assessment and performance comparison of adaptive versus standard systems. Sustainability, 17(18), 8319.

Kabir Oluwatobi Idowu | Mathematics | Young Scientist Award

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Mr. Kabir Oluwatobi Idowu | Mathematics | Young Scientist Award

Purdue University | United States

Kabir Oluwatobi Idowu is a mathematics researcher and academic with a strong foundation in mathematical modeling, artificial intelligence, stochastic processes, and mathematical biology. He is currently pursuing doctoral studies at a leading research university in the United States. Kabir holds advanced degrees in mathematics, graduating with top honors and multiple academic awards. He has extensive experience in teaching undergraduate and graduate-level mathematics, supervising student research, and developing curricula. His research output includes numerous peer-reviewed publications in areas such as disease modeling, artificial intelligence in education, and numerical solutions to complex equations. Kabir has delivered invited talks at international conferences and actively contributes to academic communities through leadership, peer review, and professional memberships. He is passionate about using mathematics as a tool to solve real-world problems and is committed to academic excellence, interdisciplinary collaboration, and social impact through research, teaching, and community service.

Profile

Orcid 

Education

Kabir Oluwatobi Idowu holds a strong academic background in mathematics and mathematics education. He earned both undergraduate and postgraduate degrees in mathematics with distinction from a prominent university in Nigeria, graduating as the best student in his department at both levels. His outstanding academic performance earned him several awards for academic excellence. Currently, he is pursuing a Ph.D. in Mathematics at a major research university in the United States, where he is also engaged in teaching and research. Kabir’s education has equipped him with a deep understanding of mathematical theory and its practical applications. His coursework and research span various domains including mathematical biology, numerical analysis, and artificial intelligence. His academic training reflects a combination of theoretical rigor and applied problem-solving, preparing him to contribute meaningfully to the advancement of knowledge in mathematics and its interdisciplinary applications.

Experience

Kabir Oluwatobi Idowu has gained extensive academic and research experience across institutions in Nigeria and the United States. He currently serves in both teaching and research roles at a renowned mathematics department, where he assists in delivering courses, mentoring students, and contributing to advanced mathematical research. Previously, he worked as an assistant lecturer and research assistant at a public university in Nigeria, where he taught courses in statistics, stochastic processes, and functional analysis, and supervised student research projects. His work experience also includes curriculum development, data analysis, numerical simulations, and the application of control theory in dynamic systems. Additionally, he has served as a research officer and mathematics instructor in academic institutions, contributing to institutional planning and exam coordination. His teaching and research experience highlight a well-rounded profile marked by technical expertise, instructional innovation, and a deep commitment to student learning and applied mathematics.

Awards and Honors

Kabir Oluwatobi Idowu has been recognized with numerous academic awards for excellence in both undergraduate and graduate studies. He graduated as the best student in his department at both levels, earning institutional honors for academic distinction. He also received a prestigious university-wide award for achieving a perfect grade point average during his postgraduate studies. His academic excellence has earned him competitive assistantship positions for teaching and research at his current institution. Kabir’s scholarly achievements have been further acknowledged through merit-based recognitions from professional organizations and academic departments. These honors underscore his intellectual rigor, dedication to mathematics, and consistent performance across various academic stages. His awards reflect not only his academic capabilities but also his leadership and contributions to the advancement of mathematical knowledge through research and teaching. Kabir continues to uphold academic excellence as a core value in all aspects of his professional journey.

Research Focus

Kabir Oluwatobi Idowu’s research integrates mathematical modeling, artificial intelligence, stochastic analysis, and numerical computation to address real-world challenges in public health, education, and biological systems. His work involves developing and analyzing mathematical models that explain disease dynamics, environmental health interactions, and behavioral trends. He employs a wide range of analytical and computational tools including differential equations, optimization techniques, and hybrid numerical schemes. He is also actively exploring the role of AI and large language models in educational technology and human decision-making. Kabir’s publications demonstrate a strong focus on interdisciplinary applications, including predictive modeling for disease transmission, simulation of public health interventions, and application of machine learning in social systems. His research contributes to theoretical understanding as well as practical solutions. Currently, he is working on advanced stochastic models and numerical algorithms that aim to improve the accuracy and efficiency of simulations used in complex systems.

Publications

Title: Mathematical modelling of pneumonia dynamics of children under the age of five
Year: 2021
Citations: 21

Title: Qualitative analysis of the transmission dynamics and optimal control of COVID-19
Year: 2023
Citations: 18

Title: Semi-analytic approach to solving Rosenau-Hyman and Korteweg-de Vries equations using integral transform
Year: 2023
Citations: 18

Title: Impact of contaminated surfaces on the transmission dynamics of coronavirus disease (COVID-19)
Year: 2023
Citations: 16

Title: On the interaction of the human immune system with foreign body: mathematical modeling approach
Year: 2023
Citations: 15

Title: Laplace Homotopy Perturbation Method (LHPM) for solving systems of N-dimensional non-linear partial differential equation
Year: 2023
Citations: 12

Conclusion

Kabir Oluwatobi Idowu is an exceptionally talented young researcher whose academic brilliance, active publication record, interdisciplinary expertise, and community engagement strongly align with the criteria for the Young Scientist Award. His research journey reflects passion, consistency, and a forward-looking vision. His leadership roles, outreach efforts, and professional memberships further attest to his well-rounded profile. With continued focus on publishing in higher-impact venues, increasing the real-world application of his work, and enhancing global research collaboration, Kabir is poised to make significant contributions to both academic science and societal progress. He is a highly suitable candidate for the Young Scientist Award and exemplifies the qualities of an emerging leader in the scientific community.

María Andrea Arias Serna | Applied Mathematics | Best Researcher Award

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Prof. Dr. María Andrea Arias Serna | Applied Mathematics | Best Researcher Award

Professor, Universidad de MEdellín, Colombia

📌 Prof. Dr. María Andrea Arias Serna is an Associate Professor at the School of Engineering, University of Medellín, Colombia 🇨🇴, where she has been contributing since 2010. She holds a degree in Mathematics (2004) from the University of Antioquia and a Master’s in Applied Mathematics (2009) from Universidad EAFIT. Currently, she is pursuing a Ph.D. in Modeling and Scientific Computing at the University of Medellín. She is certified in Risk Management and Derivatives from esteemed institutions 🎓. Her research focuses on applied mathematics, financial risk measures, optimization, matrix-variate distributions, and shape theory. 📊🔢

Publication Profile

Google Scholar

Work Experience

Prof. Dr. María Andrea Arias Serna is an esteemed Associate Professor at the School of Engineering, University of Medellín, Colombia 🇨🇴, where she has been contributing since 2010. With extensive expertise in applied mathematics, financial risk measures, and optimization 📊🔢, she plays a key role in academic research and teaching. Her dedication to advancing mathematical modeling and scientific computing has significantly impacted her field. Passionate about risk assessment and matrix-variate distributions, she integrates theoretical knowledge with practical applications. Through her work, she continues to shape the future of engineering and mathematics education. 🎓✨

Academic Background

Prof. Dr. María Andrea Arias Serna is a dedicated mathematician and researcher from Colombia 🇨🇴. She earned her degree in Mathematics (2004) from the University of Antioquia and later completed a Master’s in Applied Mathematics (2009) at Universidad EAFIT with an outstanding score of 4.6 🎓. Currently, she is pursuing a Ph.D. in Modeling and Scientific Computing at the University of Medellín. Her academic journey reflects a strong foundation in mathematical sciences, focusing on advanced computational techniques, optimization, and financial risk analysis 📊🔢. She continues to contribute to academia through research and teaching. ✨

Expertise & Certifications

Prof. Dr. María Andrea Arias Serna is a distinguished mathematician and researcher from Colombia 🇨🇴, specializing in applied mathematics, financial risk measures, and optimization 📊🔢. She holds a certification in Risk Management (2013) from the International Institute of Professional Education and Research and a certification in Derivatives and Risk (2014) from the University of Illinois at Urbana-Champaign 🎓. These qualifications enhance her expertise in financial modeling and risk assessment. With a strong academic and research background, she integrates theoretical knowledge with real-world applications, contributing significantly to the fields of mathematics and finance. ✨

Research Interests

Prof. Dr. María Andrea Arias Serna is deeply engaged in the fields of applied mathematics and financial risk analysis 📊🔢. Her research focuses on financial risk measures, optimization techniques, and matrix-variate distributions, contributing to advancements in mathematical modeling and data analysis. She also explores shape theory, enhancing geometric and statistical applications 📐📈. Through her work, she aims to develop innovative solutions for complex mathematical and financial challenges. Her expertise bridges theoretical mathematics with real-world applications, making significant contributions to academia and industry. 🚀✨

Fellowships & Awards

Prof. Dr. María Andrea Arias Serna has been recognized for her outstanding academic and research achievements 🎓✨. She received the Honor Tuition Award from the University of Antioquia in both 2002 and 2003 for her exceptional performance in mathematics 🏅📊. In 2014, she was honored with the Best Investigation Award by the University of Medellín for her remarkable contributions to research and innovation 🔬📈. Her accolades highlight her dedication to advancing mathematical sciences and financial risk analysis, reinforcing her reputation as a leading researcher in applied mathematics and optimization. 🚀🔢

Research Focus

Prof. Dr. María Andrea Arias Serna specializes in financial risk analysis, applied mathematics, and optimization 📊🔢. Her research explores quantitative risk modeling, liquidity and operational risk, and matrix-variate distributions, contributing significantly to financial decision-making. She has developed information systems for risk quantification, integrating advanced statistical and computational techniques 🖥️📈. Her studies on Wasserstein barycenter risk measures, beta-Kotz distributions, and matrix-variate Value-at-Risk have advanced risk assessment methodologies in finance and economics 💰📉. Through her extensive publications, she bridges theoretical mathematics with real-world financial applications, solidifying her impact in academia and industry. 🚀🏦

Publication Top Notes

📘 Riesgo Operativo: Técnicas de modelación cuantitativa
📑 Cited by: 16 | 📅 Year: 2014

💻 Design of information system for the Liquidity Risk Management in financial institutions
📑 Cited by: 10 | 📅 Year: 2015

🔢 Algoritmos genéticos: una solución alternativa para optimizar el modelo de inventario (Q; r)
📑 Cited by: 8 | 📅 Year: 2009

📊 Risk measures: a generalization from the univariate to the matrix-variate
📑 Cited by: 7 | 📅 Year: 2021

💾 Information system for the quantification of financial risk
📑 Cited by: 6 | 📅 Year: 2017

🏦 Sistema de información para la cuantificación de pérdidas esperadas: Una aplicación en las entidades del sector solidario colombiano
📑 Cited by: 5 | 📅 Year: 2021

📈 Information system for the quantification of operational risk in financial institutions
📑 Cited by: 5 | 📅 Year: 2016

📉 Information system for the quantification of operational risk in financial institutions
📑 Cited by: 4 | 📅 Year: 2016

📊 (Q, r) MODEL WITH CVaR (alpha) OF COSTS MINIMIZATION
📑 Cited by: 3 | 📅 Year: 2017

💰 Desarrollo de una aplicación para el cálculo del riesgo de crédito en entidades del sector solidario colombiano
📑 Cited by: 2 | 📅 Year: 2022

📊 Development of an application for the calculation of credit risk in entities of the Colombian solidarity sector
📑 Cited by: 2 | 📅 Year: 2022

📈 Risk measures estimation under Wasserstein Barycenter
📑 Cited by: 2 | 📅 Year: 2020

📉 Risk measures and credit risk under the beta-kotz distribution
📑 Cited by: 2 | 📅 Year: 2018

🖥 Arquitectura de software para la medición del riesgo operacional en entidades del sector financiero
📑 Cited by: 2 | 📅 Year: 2017

📊 Matrix‐variate risk measures under Wishart and gamma distributions
📑 Cited by: 1 | 📅 Year: 2024

🖥 Desarrollo de una plataforma tecnológica para la gestión integral del riesgo financiero en el Sector Solidario Colombiano
📑 Cited by: 1 | 📅 Year: 2023

💰 Sistema de Información para la Medición del Riesgo de Liquidez en el Sector Solidario Colombiano
📑 Cited by: 1 | 📅 Year: 2021

🖥 Software suite for the measurement of financial risk
📑 Cited by: 1 | 📅 Year: 2018

📘 Modelación y estrategias en finanzas
📑 Cited by: 1 | 📅 Year: 2012

📊 Matrix-Variate Value-at-Risk: Generalized Beta and F Distributions
📑 Cited by: – | 📅 Year: 2024