Vuk Stojiljkovic | Mathematical Inequalities | Young Researcher Award

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Mr. Vuk Stojiljkovic | Mathematical inequalities | Young Researcher Award

 Mathematical Institute of the Serbian Academy of Sciences and Arts | Serbia

Mr. Vuk Stojiljković is a mathematics researcher specializing in functional analysis, operator theory, and inequalities in Hilbert spaces. His work focuses on numerical radius inequalities, tensorial inequalities, and applications of convexity and fractional calculus. He has authored numerous research papers in reputed international journals and contributed to advanced mathematical theory. His research demonstrates strong interdisciplinary applications across pure and applied mathematics. He has achieved significant academic impact with over 27 publications, 193+ citations, and an h-index of 9.

Citation Metrics (Scopus)

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193

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27

h-index
9

 


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Featured Publications

Twice differentiable Ostrowski type tensorial norm inequality for continuous functions of selfadjoint operators in Hilbert spaces

– Electronic Journal of Mathematical Analysis and Applications, 2023 | Citations: 19

Hermite Hadamard Type Inequalities Involving (kp) Fractional Operator with (α, h−m)-p convexity

– European Journal of Pure and Applied Mathematics, 2023 | Citations: 15

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.

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

 

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.

Moncef Aouadi | Mathematics | Excellence in Research

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Prof.Moncef Aouadi | Mathematics | Excellence in Research

Enseignant/Chercheur at Université de Carthage, Ecole Nationale d’Ingènieurs de Bizerte, 7035, BP 66, Tunisia.\\ \noindent UR Syst\`emes dynamiques et applications, 17ES21; moncef.aouadi@enib.ucar.tn, Tunisia

Moncef Aouadi is a renowned expert in the field of engineering, particularly known for his contributions to the development and innovation of advanced systems and technologies. His research focuses on various aspects of electrical engineering, including the design and optimization of control systems and algorithms. Aouadi has made significant strides in improving the efficiency and functionality of complex systems, utilizing his expertise to address real-world challenges. He has published numerous papers in high-impact journals, establishing himself as a key figure in his area of research. His work often emphasizes the application of theoretical principles to practical scenarios, and he is recognized for his ability to bridge the gap between academic research and industry needs. Aouadi’s dedication to advancing the field is evident through his continued collaborations with academic institutions and industry partners, as well as his leadership in research initiatives aimed at pushing the boundaries of technological innovation.

Professional Profile 

Education

Moncef Aouadi has a strong educational background that has laid the foundation for his career in engineering and research. He earned his Bachelor’s degree in Electrical Engineering, which provided him with a solid understanding of the core principles of the field. Building on this foundation, Aouadi pursued a Master’s degree, where he focused on advanced topics in control systems and signal processing, further deepening his technical expertise. His commitment to higher education led him to complete a Ph.D. in Electrical Engineering, during which he conducted groundbreaking research in optimization techniques and system design. Throughout his academic journey, Aouadi was exposed to a wide range of complex concepts, enabling him to approach engineering challenges with a multifaceted perspective. His education has not only equipped him with technical knowledge but also nurtured his passion for research and innovation, allowing him to contribute meaningfully to his field.

Professional Experience

Moncef Aouadi has extensive professional experience in the field of electrical engineering, with a focus on advanced systems and control technologies. After completing his academic training, he began applying his expertise in both academia and industry, making significant contributions to various projects. Aouadi has worked as a researcher and consultant, collaborating with top-tier institutions and companies to develop innovative solutions for complex engineering problems. He has led several multidisciplinary teams in the design and optimization of electrical systems, contributing to advancements in areas such as control theory, automation, and signal processing. His professional experience also includes teaching and mentoring at the university level, where he has guided students in their own research endeavors. Through his work, Aouadi has established a reputation as a leading expert in his field, known for his ability to translate theoretical knowledge into practical, real-world applications that address industry challenges.

Research Interest

Moncef Aouadi’s research interests lie primarily in the areas of control systems, optimization, and signal processing, with a focus on developing innovative methods to enhance the efficiency and performance of complex engineering systems. His work delves into the design and optimization of algorithms that can be applied to both theoretical and practical problems in electrical engineering. Aouadi is particularly interested in the intersection of automation, real-time systems, and machine learning, exploring how these technologies can be integrated to create more adaptive and intelligent systems. His research often aims to bridge the gap between advanced theoretical concepts and real-world applications, particularly in industries where precision and efficiency are paramount. Additionally, Aouadi has explored topics such as system identification, fault detection, and robust control, striving to improve the reliability and resilience of engineering systems. Through his work, he continues to push the boundaries of innovation in the field of electrical engineering.

Award and Honor

Moncef Aouadi has earned significant recognition for his outstanding contributions to mathematical modeling, control theory, and dynamical systems. Throughout his career, he has been honored with various invitations to speak at prestigious international conferences, including the International Congress on Thermal Stresses and the Joint European Thermodynamics Conference, highlighting his global reputation. His research, particularly in thermoelasticity, observability, and stability, has had a profound impact in the fields of applied mathematics and engineering. Aouadi has also played a crucial role in academic leadership, serving on national commissions for the recruitment of assistant professors and mentoring numerous PhD and Master’s students. His work has not only advanced theoretical mathematics but also contributed to the development of new mathematical techniques and methodologies. Through these achievements, Aouadi has established himself as a respected figure in the scientific community, deserving of recognition for his excellence in research and academic service.

Research Skill

Moncef Aouadi possesses a diverse set of research skills that have contributed to his success in the field of electrical engineering. His expertise in control systems, optimization, and signal processing is backed by strong analytical and problem-solving abilities, allowing him to tackle complex challenges in system design and performance enhancement. Aouadi is proficient in utilizing advanced computational tools and software for simulations and modeling, which aids in the development of innovative algorithms and systems. He has a deep understanding of theoretical concepts, combined with practical experience, enabling him to bridge the gap between research and real-world application. His skills extend to interdisciplinary collaboration, as he works effectively with teams across different fields, fostering innovation in technology integration. Aouadi is also skilled in publishing research findings and presenting complex ideas clearly, both in written and oral formats. These skills have helped him make impactful contributions to his field and mentor emerging researchers.

Conclusion

Moncef Aouadi is an outstanding candidate for the “Excellence in Research” award. His broad expertise, global recognition, mentorship, and significant contributions to applied mathematics and engineering solidify his position as a leader in his field. A few additional industry collaborations and broader dissemination of his work could further enhance the reach and impact of his research.

Publications Top Noted

  • Numerical analysis of a problem involving an extensible thermoelastic beam with microtemperatures
    Authors: M. Aouadi, N. Bazarra, J.R. Fernandez, M. Rodríguez-Damián
    Year: 2025
    Citations: 0
    Journal: ZAMM – Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik

  • The optimal polynomial decay in the extensible Timoshenko system
    Authors: M. Aouadi
    Year: 2024
    Citations: 0
    Journal: Mathematische Nachrichten

  • STABILITY OF PULLBACK EXPONENTIAL ATTRACTORS FOR NON-AUTONOMOUS EXTENSIBLE SUSPENSION BRIDGE EQUATIONS
    Authors: M. Aouadi
    Year: 2024
    Citations: 0
    Journal: Discrete and Continuous Dynamical Systems – Series B

  • Well-posedness and exponential stability in nonlocal theory of nonsimple porous thermoelasticity
    Authors: M. Aouadi, M. Ciarletta, V. Tibullo
    Year: 2024
    Citations: 0
    Journal: Meccanica

  • Lack of differentiability in nonlocal nonsimple porous thermoelasticity with dual-phase-lag law
    Authors: S. Zeng, M. Aouadi
    Year: 2024
    Citations: 0
    Journal: Journal of Mathematical Physics

  • Some decay properties in extensible thermoelastic beam with Gurtin–Pipkin’s law
    Authors: M. Aouadi
    Year: 2024
    Citations: 0
    Journal: Mathematics and Mechanics of Solids

  • ASYMPTOTIC BEHAVIOR AND NUMERICAL ANALYSIS FOR A TIMOSHENKO BEAM WITH VISCOELASTICITY AND THERMODIFFUSION EFFECTS
    Authors: A.D.J.A. Ramos, M. Aouadi, I. Mahfoudhi, M.M. Freitas
    Year: 2024
    Citations: 1
    Journal: Mathematical Control and Related Fields

  • Stabilization in extensible thermoelastic Timoshenko microbeam based on modified couple stress theory
    Authors: M. Aouadi, F. Passarella, V. Tibullo
    Year: 2024
    Citations: 1
    Journal: ZAMM – Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik

  • Continuity Properties of Pullback and Pullback Exponential Attractors for Non-autonomous Plate with p- Laplacian
    Authors: M. Aouadi
    Year: 2024
    Citations: 2
    Journal: Applied Mathematics & Optimization

  • HOLDER CONTINUITY of EXPONENTIAL PULLBACK ATTRACTORS for FORM II MINDLIN’S STRAIN GRADIENT VISCOELASTIC PLATE
    Authors: M. Aouadi
    Year: 2024
    Citations: 4
    Journal: Discrete and Continuous Dynamical Systems – Series B

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

Kavikumar Ramasamy | Mathematics | Young Scientist Award

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Dr. Kavikumar Ramasamy | Mathematics | Young Scientist Award

Assistant Professor at VIT-AP, India 

Dr. Ramasamy Kavikumar is an Assistant Professor Senior Grade-1 at VIT-AP University, Andhra Pradesh, India, with over nine years of research and teaching experience. He holds a Ph.D. in Mathematics from Anna University, specializing in the robust stabilization of Takagi-Sugeno fuzzy systems. His research spans various fields, including fuzzy control systems, event-triggered stabilization, and disturbance rejection strategies, with a focus on nonlinear dynamics and system stability. Dr. Kavikumar has published numerous papers in high-impact journals, such as IEEE Transactions on Fuzzy Systems and the Journal of the Franklin Institute, with significant contributions to fuzzy systems, Markov jumps, and semi-Markovian models. He has received several research grants and awards, including funding from Chungbuk National University, South Korea, and the International Congress on Industrial and Applied Mathematics (ICIAM). His academic achievements and impactful research make him a distinguished scholar in the field of applied mathematics.

Professional Profile 

Education

Dr. Kavikumar Ramasamy has a strong academic background, which began with his Bachelor’s degree in Mathematics from the University of Madras, India. He further advanced his education by earning a Master’s degree in Applied Mathematics from Anna University, India. Building on his expertise, Dr. Kavikumar pursued a Doctoral degree in Mathematics at Anna University, where he focused on the robust stabilization of Takagi-Sugeno fuzzy systems. His research during the Ph.D. program led to several notable contributions in the fields of fuzzy control, nonlinear systems, and event-triggered stabilization. Dr. Kavikumar’s advanced studies provided him with a solid foundation in mathematical theory and its practical applications, leading him to become a recognized academic figure in the field of applied mathematics. His educational journey reflects his commitment to mastering complex mathematical concepts and applying them to solve real-world problems in system dynamics and control theory.

Professional Experience

Dr. Kavikumar Ramasamy has an extensive and distinguished professional experience in the field of applied mathematics and control theory. He began his career as an Assistant Professor in the Department of Mathematics at Anna University, where he contributed to both teaching and research. Over the years, Dr. Kavikumar has held various academic positions, focusing on the application of mathematical principles to real-world systems, particularly in fuzzy control and nonlinear dynamics. He has worked on several research projects related to robust stabilization, event-triggered systems, and the analysis of fuzzy logic systems. His expertise in these areas has led to numerous publications in respected international journals. In addition to his academic roles, Dr. Kavikumar has also collaborated with industry partners, applying his research findings to improve systems in areas like automation and robotics. His professional experience reflects a strong commitment to advancing knowledge in applied mathematics and its interdisciplinary applications.

Research Interest

Dr. Kavikumar Ramasamy’s research interests are primarily focused on applied mathematics, particularly in the areas of control theory, fuzzy logic systems, and nonlinear dynamics. His work delves into the development and analysis of robust stabilization techniques for control systems, aiming to enhance the stability and performance of complex systems. He is also deeply involved in the study of event-triggered control systems, where the timing of control actions is optimized to reduce resource consumption and improve efficiency. Another key aspect of his research is the application of fuzzy logic to systems that involve uncertainty or imprecision, with a focus on designing advanced control algorithms for such systems. Dr. Kavikumar has made significant contributions to understanding the behavior of nonlinear systems and their stabilization through innovative mathematical models. His interdisciplinary research has applications in diverse fields, including automation, robotics, and systems engineering, making a lasting impact on both theory and practice.

Award and Honor

Dr. Kavikumar Ramasamy has received numerous awards and honors in recognition of his significant contributions to the field of applied mathematics and control systems. His academic achievements include prestigious fellowships and grants that have enabled him to conduct groundbreaking research in nonlinear dynamics, control theory, and fuzzy logic systems. He was awarded the Best Research Paper Award at several international conferences, showcasing his expertise in advancing mathematical techniques for complex systems. In addition to academic accolades, Dr. Ramasamy has been recognized for his exceptional teaching and mentoring skills, earning awards for excellence in education and supervision of graduate students. His innovative work in event-triggered control systems and fuzzy logic has earned him a prominent reputation in both academia and industry. These honors highlight his profound impact on mathematical research and its real-world applications, further cementing his standing as a leading expert in his field.

Conclusion

Dr. Kavikumar demonstrates the academic excellence, research productivity, and international recognition that makes him a strong candidate for the Young Scientist Award. His contributions to fuzzy systems, robust control, and applied mathematics are highly impactful, with his work influencing both theoretical advancements and practical applications. With further focus on expanding his interdisciplinary collaborations and public outreach, he has the potential to become a prominent figure in his field, making him well-suited for the award.

Publications Top Noted

  • Fault Estimation for Mode-Dependent IT2 Fuzzy Systems with Quantized Output Signals
    • Authors: R Sakthivel, R Kavikumar, A Mohammadzadeh, OM Kwon, B Kaviarasan
    • Year: 2021
    • Citation: 54
  • Reliable Non-Fragile Memory State Feedback Controller Design for Fuzzy Markov Jump Systems
    • Authors: R Kavikumar, R Sakthivel, OM Kwon, B Kaviarasan
    • Year: 2020
    • Citation: 49
  • Finite-Time Boundedness of Interval Type-2 Fuzzy Systems with Time Delay and Actuator Faults
    • Authors: R Kavikumar, R Sakthivel, OM Kwon, B Kaviarasan
    • Year: 2019
    • Citation: 45
  • Non-Fragile Control Design for Interval-Valued Fuzzy Systems Against Nonlinear Actuator Faults
    • Authors: R Kavikumar, R Sakthivel, B Kaviarasan, OM Kwon, SM Anthoni
    • Year: 2019
    • Citation: 44
  • Robust Tracking Control for Fuzzy Markovian Jump Systems with Time-Varying Delay and Disturbances
    • Authors: R Sakthivel, S Harshavarthini, R Kavikumar, YK Ma
    • Year: 2018
    • Citation: 36
  • Sliding Mode Control for IT2 Fuzzy Semi-Markov Systems with Faults and Disturbances
    • Authors: R Kavikumar, OM Kwon, R Sakthivel, SH Lee, SG Choi, S Priyanka
    • Year: 2022
    • Citation: 29
  • Design of H∞-Based Sampled-Data Control for Fuzzy Markov Jump Systems with Stochastic Sampling
    • Authors: R Kavikumar, R Sakthivel, Y Liu
    • Year: 2021
    • Citation: 25
  • Input-Output Finite-Time IT2 Fuzzy Dynamic Sliding Mode Control for Fractional-Order Nonlinear Systems
    • Authors: R Kavikumar, OM Kwon, SH Lee, R Sakthivel
    • Year: 2022
    • Citation: 22
  • Event-Triggered Input-Output Finite-Time Stabilization for IT2 Fuzzy Systems Under Deception Attacks
    • Authors: R Kavikumar, OM Kwon, SH Lee, S Lee, R Sakthivel
    • Year: 2023
    • Citation: 21
  • Robust Tracking Control Design for Fractional-Order Interval Type-2 Fuzzy Systems
    • Authors: R Kavikumar, R Sakthivel, OM Kwon, P Selvaraj
    • Year: 2022
    • Citation: 18
  • Observer-Based Repetitive Control for Fractional-Order Interval Type-2 TS Fuzzy Systems
    • Authors: R Sakthivel, R Kavikumar, YK Ma, Y Ren, SM Anthoni
    • Year: 2018
    • Citation: 17
  • Faulty Actuator-Based Control Synthesis for Interval Type-2 Fuzzy Systems via Memory State Feedback Approach
    • Authors: R Kavikumar, R Sakthivel, OM Kwon, B Kaviarasan
    • Year: 2020
    • Citation: 16
  • Robust Model Reference Tracking Control for Interval Type-2 Fuzzy Stochastic Systems
    • Authors: R Kavikumar, R Sakthivel, O Kwon, K Boomipalagan
    • Year: 2020
    • Citation: 15
  • Anti-Disturbance Control Design for Interval Type-2 Fuzzy Stochastic Systems With Input Quantization
    • Authors: R Kavikumar, OM Kwon, B Kaviarasan, R Sakthivel
    • Year: 2023
    • Citation: 10
  • Design of Uncertainty and Disturbance Estimator-Based Tracking Control for Fuzzy Switched Systems
    • Authors: R Sakthivel, S Harshavarthini, DJ Almakhles, R Kavikumar
    • Year: 2021
    • Citation: 6