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 🔄🧮

 

 

Abdulkafi Mohammed Saeed | Mathematics | Best Researcher Award

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Prof. Dr. Abdulkafi Mohammed Saeed | Mathematics | Best Researcher Award

Director of the Postgraduate Program in the Mathematics Department at Qassim University, Qassim University, Saudi Arabia

Prof. Dr. Abdulkafi Mohammed Saeed is a highly experienced professor of Applied Mathematics at Qassim University, Saudi Arabia, with a research focus on Numerical Partial Differential Equations, Fluid Dynamics, and Fractional Calculus. He earned his Ph.D. in Applied Mathematics from Universiti Sains Malaysia and has over 15 years of teaching experience. Prof. Saeed has published more than 130 papers in leading international journals, contributed to various research conferences, and collaborated extensively with global researchers. Additionally, he has expertise in academic quality management and accreditation, having been involved in the quality assurance processes of several mathematics programs. Prof. Saeed also offers his services as a reviewer for numerous reputable journals, making significant contributions to the academic community. He is proficient in multiple languages and programming tools, including MATLAB and C++.

Profile

Education

Prof. Dr. Abdulkafi Mohammed Saeed holds a Ph.D. in Applied Mathematics from Universiti Sains Malaysia (2011), focusing on Partial Differential Equations. He completed his Master’s degree in Applied Mathematics from Hyderabad Central University in India (2005) and obtained his Bachelor’s degree in Mathematics, Physics, and Computer Science from Hodeidah University, Yemen (1998). His educational background laid the foundation for his expertise in applied mathematics, particularly in differential equations, fluid dynamics, numerical analysis, and computational methods. Prof. Saeed’s academic journey also includes significant post-doctoral work at the University of Sciences Malaysia, further enhancing his research capabilities. He has continued to develop his academic career through his teaching roles and extensive research contributions in the field.

Experience

Prof. Dr. Abdulkafi Mohammed Saeed has over 15 years of experience in academia, particularly in teaching and research in Applied Mathematics. He has taught a wide range of undergraduate and postgraduate courses in differential equations, numerical analysis, fluid dynamics, and computational mathematics at Qassim University, Saudi Arabia. In addition to his teaching role, he holds several leadership positions, such as Head of Quality Assurance at Qassim University’s Department of Mathematics. He has also served as a consultant for the university’s quality unit and been involved in program development, ensuring academic excellence in mathematics education. Prof. Saeed has been a reviewer for numerous prestigious journals and a member of editorial boards. His post-doctoral research at Universiti Sains Malaysia and his early academic career in Yemen also contribute to his broad and diverse experience in the field.

Awards and Honors

Prof. Dr. Abdulkafi Mohammed Saeed has received numerous awards and recognitions for his academic contributions. He was awarded scholarships by the Government of Yemen for his Master’s and Ph.D. studies at Hodeidah University and Universiti Sains Malaysia. Prof. Saeed’s research excellence earned him the “Hadiah Sanggar Sanjung” award in 2011 and 2012 for publishing impactful articles in ISI journals. He also won the third prize in the 1st Postgraduate Quran Recitation Competition at Universiti Sains Malaysia in 2010. These honors reflect his exceptional academic achievements and contributions to the field of applied mathematics. Additionally, Prof. Saeed’s work has been recognized by multiple academic organizations, contributing to his reputation as a leader in the mathematics community.

Research Focus

Prof. Dr. Abdulkafi Mohammed Saeed’s research primarily focuses on Applied Mathematics, with a particular emphasis on Partial Differential Equations (PDEs), Fluid Dynamics, and Fractional Calculus. His work spans numerical modeling, applied and computational mathematics, and the use of functional analysis to solve complex mathematical problems. Prof. Saeed has made significant contributions to the understanding of fluid flow, thermoelasticity, and mathematical computing. His research also includes investigating fractional PDEs and their real-world applications. He has published over 130 papers in international journals and has collaborated with numerous global researchers. Prof. Saeed’s interest in mathematical modeling and numerical methods has driven advancements in computational techniques, particularly in areas related to fluid dynamics and thermoelasticity. He continues to explore new mathematical approaches and models to address complex phenomena in science and engineering.

Publications (Single-line format with emojis):

  1. “Analysis of the Thomson and Troian velocity slip for the flow of ternary nanofluid past a stretching sheet” 🧑‍🔬📑
  2. “Thermophoretic particle deposition effect on a squeezed flow of radiative Jeffrey fluid past a sensor surface with uniform heat source/sink and chemical reaction” 🔬💧
  3. “The series solutions of fractional foam drainage and fractional modified regularized long wave problems” 📚🌊
  4. “A new solution of the nonlinear fractional logistic differential equations utilizing efficient techniques” 🔢📈
  5. “Bioconvective Hybrid Flow with Microorganisms Migration and Buongiorno’s Model under Convective Condition” 🌱💨
  6. “Significance of Hall current and Ion slip in a three-dimensional Maxwell nanofluid flow over rotating disk with variable characteristics and gyrotactic microorganisms” 🔄💡
  7. “Comparative study of hybrid nanofluid flows over a bidirectional stretched surface with the impact of Hall current and ion slip” 🔬⚡
  8. “Model-based comparison of hybrid nanofluid Darcy-Forchheimer flow subject to quadratic convection and frictional heating with multiple slip conditions” 🖥️🌡️
  9. “Wall jet nanofluid flow with thermal energy and radiation in the presence of power-law” 💨☀️
  10. “Buckling and dynamic behavior of uniform and tapered woven carbon/jute fiber reinforced polyester hybrid composite beams” 🌍🔧