Sathiyataj Thambiayya | Mathematical Physics | Best Researcher Award

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Assist. Prof. Dr. Sathiyataj Thambiayya | Mathematical Physics | Best Researcher Award

Assistant Professor, UCSI University, Malaysia

Dr. Sathiyaraj Thambiayya is an Assistant Professor in the Institute of Actuarial Science and Data Analytics at UCSI University, Kuala Lumpur, Malaysia. He holds a Ph.D. in Mathematics from The Gandhigram Rural Institute, India. With over six years of teaching and research experience, Dr. Sathiyaraj specializes in control systems, fractional calculus, stochastic processes, and artificial intelligence applications in dynamic systems. He has worked as a Post-Doctoral Research Fellow at Guizhou University, China, and has been selected for the prestigious National Post-Doctoral Fellowship by the Science and Engineering Research Board (SERB), Government of India. Dr. Sathiyaraj’s research contributions have been recognized globally, with a total research impact factor of 67.10 and a focus on applying advanced mathematics to real-world challenges such as healthcare and AI systems. He is currently leading several funded research projects and is actively involved in postgraduate supervision.

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Education

Dr. Sathiyaraj Thambiayya completed his Ph.D. in Mathematics from the Department of Mathematics at The Gandhigram Rural Institute, India (2015–2017). Before that, he earned a Master of Philosophy in Mathematics from St. Joseph’s College, Trichy, India (2011–2012) and a Master of Science in Mathematics from the same institution (2009–2011). He holds a Bachelor of Education in Mathematics from Tamil Nadu Teachers Education, Chennai, India (2008–2009), and a Bachelor of Science in Mathematics from AVVM Sri Pushpam College, Thanjavur, India (2005–2008). Additionally, he completed his Higher Secondary School at Govt. High School, Thanjavur, India (2003–2005). His academic journey highlights his consistent focus on mathematics and its application to real-world problems, particularly in control systems, stochastic processes, and fractional calculus.

Experience

Dr. Sathiyaraj Thambiayya has extensive academic experience in teaching and research. He currently serves as an Assistant Professor at the Institute of Actuarial Science and Data Analytics at UCSI University, Malaysia, where he has been employed since January 2024. Previously, he worked as a Lecturer in the same institute (2021–2023). His earlier academic experience includes a role as a Guest Faculty at The Gandhigram Rural Institute, India (2017–2018), and as an Assistant Professor in Mathematics at Oxford Engineering College, Trichy, India (2012–2013). Dr. Sathiyaraj has contributed significantly to research during his Post-Doctoral Fellowship at Guizhou University, China (2018–2021), and under the SERB Fellowship at IIT Kanpur, India (2021). His teaching and research have revolved around advanced mathematics, stochastic systems, AI, and control theory, with a particular emphasis on healthcare applications and machine learning.

Awards and Honors

Dr. Sathiyaraj Thambiayya has received several prestigious awards throughout his career. In December 2021, he was selected for the National Post-Doctoral Fellowship (NPDF) by the Science and Engineering Research Board (SERB), Government of India, which he carried out under the mentorship of Prof. Dhirendra Bahuguna at the Indian Institute of Technology Kanpur. This fellowship recognizes his excellence in mathematical research. In December 2013, Dr. Sathiyaraj was awarded the Senior Research Fellow by the Council of Scientific and Industrial Research (CSIR), New Delhi, India, which facilitated the completion of his Ph.D. degree. These honors reflect his exceptional academic and research contributions, particularly in the areas of stochastic processes, fractional calculus, and dynamic systems, positioning him as a leading researcher in applied mathematics and control theory.

Research Focus

Dr. Sathiyaraj Thambiayya’s research focuses on several advanced topics in applied mathematics, with particular emphasis on control systems, stochastic processes, fractional calculus, and machine learning applications for dynamic systems. His research interests include approximate controllability, optimal control, and the development of AI-based solutions for complex systems. His expertise lies in analyzing the qualitative behavior of dynamical systems, including fractional-order systems and stochastic differential equations. He has applied these methods to real-world problems, including the use of AI for the automated detection of diabetic retinopathy and the modeling of complex stochastic systems. His ongoing research explores the intersection of AI, control theory, and fractional calculus, particularly in dynamic and uncertain environments. Through these efforts, Dr. Sathiyaraj aims to develop innovative mathematical tools and techniques for tackling complex problems in engineering, healthcare, and other fields.

Publication Top Notes

  1. Controllability and optimal control for a class of time-delayed fractional stochastic integro-differential systems 📝🔧
  2. Ulam’s stability of Hilfer fractional stochastic differential systems 🧮🔍
  3. Controllability of stochastic nonlinear oscillating delay systems driven by the Rosenblatt distribution 🔄🌐
  4. ABC Fractional Derivative for the Alcohol Drinking Model using Two‐Scale Fractal Dimension 🍻📊
  5. Controllability of fractional higher order stochastic integrodifferential systems with fractional Brownian motion 🏗️🔢
  6. Null controllability results for stochastic delay systems with delayed perturbation of matrices 🕒📉
  7. Relative controllability of a stochastic system using fractional delayed sine and cosine matrices 🔢📏
  8. The controllability of fractional damped stochastic integrodifferential systems ⚙️📉
  9. Synchronization of butterfly fractional order chaotic system 🦋🌀
  10. Controllability of Hilfer fractional stochastic system with multiple delays and Poisson jumps 🔄🧮

 

 

Ali Mubaraki | Applied Mathematics | Best Researcher Award

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Dr. Ali Mubaraki | Applied Mathematics | Best Researcher Award

Professor assistant, Taif University, Saudi Arabia.

Dr. Ali Mohammed Ali Mubaraki is an accomplished academic and researcher in the field of mathematics, currently serving as an Assistant Professor at Taif University, Saudi Arabia. He completed his Ph.D. in Mathematics from Keele University, UK, in 2021, specializing in asymptotic models for surface waves in coated elastic solids. With a rich academic background, including a Master’s from Taibah University and a Bachelor’s from King Abdulaziz University, Dr. Mubaraki’s work focuses on wave propagation, elasticity, and surface waves. He has contributed significantly to multiple publications and remains active in advanced research areas. He is an influential member of the academic community, having worked as a lecturer at the Federal University of Dutse, Nigeria, prior to his tenure at Taif University. His expertise extends to areas such as MATHEMATICA, Maple, and LaTeX, making him a valued asset in both teaching and research.

Education

Dr. Mubaraki holds a Doctor of Philosophy (Ph.D.) in Mathematics from Keele University (2021), where his thesis focused on surface wave propagation in coated elastic solids under varying conditions. Before that, he earned a Master of Science (M.Sc.) from Taibah University, Saudi Arabia (2016), where he studied nearly open sets in topological spaces, achieving a CGPA of 4.87 out of 5.0. His academic journey began with a Bachelor of Science (B.Sc.) in Mathematics from King Abdulaziz University, Saudi Arabia (2001), graduating with a CGPA of 4.27 out of 5.0. Dr. Mubaraki’s educational trajectory has been marked by excellence, supported by scholarships throughout his studies, including full-time doctorate and master’s scholarships from Taif University and the Saudi Ministry of Education.

Experience

Dr. Mubaraki’s professional experience includes his current position as Assistant Professor in the Department of Mathematics at Taif University since 2021. Prior to this, he served as a Lecturer I at the Federal University of Dutse, Nigeria, for nearly seven years (2014-2021). Additionally, Dr. Mubaraki has extensive teaching experience as a Classroom Teacher in Jizan and Madinah, Saudi Arabia, from 2001 to 2014. His teaching expertise spans a range of mathematical fields, including wave theory, elasticity, and differential equations. At Taif University, he engages in both undergraduate and graduate-level teaching while conducting cutting-edge research in mathematical modeling, wave propagation, and elasticity. He utilizes software like MATHEMATICA, Maple, and LaTeX to complement his teaching and research endeavors.

Awards and Honors

Dr. Ali Mubaraki has earned notable scholarships in recognition of his academic excellence. He was awarded a full-time Doctorate Degree Scholarship from Taif University (2015-2021), as well as a full-time Master’s Degree Scholarship from the Saudi Ministry of Education to study at Taibah University (2009-2011). These scholarships are a testament to his exceptional academic performance and research potential. Throughout his career, Dr. Mubaraki’s research contributions have gained recognition from international academic communities, further solidifying his reputation as a leading researcher in the field of mathematics. His contributions to wave propagation and elasticity models have been cited extensively in top scientific journals, affirming the significance of his work in both theoretical and applied mathematics.

Research Focus

Dr. Ali Mubaraki’s research primarily focuses on wave propagation, elasticity, and surface waves in mathematical modeling. His work explores complex phenomena such as surface waves in coated elastic solids, wave solutions in porous media, and wave behaviors under fractional temporal variation. He also investigates applications in thermoelasticity, heat interactions, and the effects of external forces on wave propagation. Dr. Mubaraki employs asymptotic methods to model wave behavior in various materials, providing valuable insights into the mechanical properties of solids under different conditions. His research extends to the analysis of solitons, nonlinear dynamics, and the effects of external fields like magnetic forces and gravitational forces. Dr. Mubaraki’s contributions are advancing both theoretical and applied mathematics, particularly in the fields of elasticity and wave propagation.

Publications

  1. Wave propagation in an elastic coaxial hollow cylinder when exposed to thermal heating and external load 📚
  2. Wave solutions and numerical validation for the coupled reaction-advection-diffusion dynamical model in a porous medium 📐
  3. Effect of fractional temporal variation on the vibration of waves on elastic substrates with spatial non-homogeneity 🌊
  4. Additional solitonic and other analytical solutions for the higher-order Boussinesq-Burgers equation 📝
  5. Explicit model for surface waves on an elastic half-space coated by a thin vertically inhomogeneous layer 🔬
  6. Surface wave propagation in a rotating doubly coated nonhomogeneous half space with application 🌐
  7. Homoclinic breathers and soliton propagations for the nonlinear (3+1)-dimensional Geng dynamical equation 🚀
  8. Heat and wave interactions in a thermoelastic coaxial solid cylinder driven by laser heating sources 🌞
  9. Propagation of surface waves in a rotating coated viscoelastic half-space under the influence of magnetic field and gravitational forces ⚛️
  10. Modeling the dispersion of waves on a loaded bi-elastic cylindrical tube with variable material constituents 🧲
  11. On Rayleigh wave field induced by surface stresses under the effect of gravity 🌍
  12. Asymptotic models for surface waves in coated elastic solids 📏
  13. Pulse-driven robot: motion via distinct lumps and rogue waves 🤖
  14. Surface waves on a coated homogeneous half-space under the effects of external forces 🌐
  15. Analysis of horizontally polarized shear waves on a highly inhomogeneous loaded bi-material plate 📊
  16. Closed-form asymptotic solution for the transport of chlorine concentration in composite pipes 🚰
  17. Optical devices: motion via breathers, rogue waves and rational solitons 💡
  18. Modeling the dispersion of waves in a multilayered inhomogeneous membrane with fractional-order infusion 🧬
  19. A New Class of Coordinated Non-Convex Fuzzy-Number-Valued Mappings with Related Inequalities and Their Applications 🧠
  20. Asymptotic Consideration of Rayleigh Waves on a Coated Orthorhombic Elastic Half-Space Reinforced Using an Elastic Winkler Foundation 📐