Raghavendran Prabakaran | Mathematics | Young Scientist Award

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Raghavendran Prabakaran | Mathematics | Young Scientist Award

 Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology|India

Dr. Prabakaran Raghavendran is a dynamic researcher in Mathematics, specializing in fractional differential equations, control theory, and their applications in artificial intelligence and cryptography. Currently pursuing a Ph.D. at Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, he has already made significant contributions with over 60 publications, 12 patents, and several interdisciplinary collaborations. His work integrates deep mathematical theory with practical AI applications, evident from his internships at Symbiosis International University focusing on BCI-based cognitive enhancement and AI in energy forecasting. With a strong publication track in top-tier journals (Q1, WoS, Scopus), he is recognized for his novel mathematical transforms like the R-, A-, P-, and V-Transforms. His research impacts span cybersecurity, healthcare, robotics, and neuroscience. Dr. Raghavendran’s academic excellence, innovative research, and commitment to interdisciplinary advancement mark him as a rising leader in applied mathematics and AI-integrated systems.

Publication Profile

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Education

Dr. Prabakaran Raghavendran’s academic journey reflects consistent excellence. He is currently pursuing a Ph.D. in Mathematics at Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, with a dissertation on fractional integro-differential systems applied in AI and cryptography (synopsis submitted in July 2025). He earned his M.Sc. in Mathematics (2022) from the same university with a remarkable CGPA . He completed his undergraduate B.Sc. in Mathematics from Loyola College, Chennai.. His foundational schooling at Velammal Matric Hr. Sec. School resulted in outstanding scores . Throughout his academic tenure, Dr. Raghavendran has shown a strong inclination toward advanced mathematics and computational applications, preparing him for an impactful research career in emerging scientific areas that bridge pure mathematics and modern technology.

Experience

Dr. Raghavendran has gained valuable research experience through prestigious internships and active collaborations. He served as a Project Intern at the Symbiosis Institute of Digital and Telecom Management under two separate projects. From December 2024 to March 2025, he worked on AI applications in energy forecasting and neuroscience, contributing to funded research supported by DSIR. From April 2025 to April 2026, he took part in a project focused on BCI-based cognitive development using AI, involving model development, data collection, and co-authoring research papers. These internships involved interdisciplinary teamwork, technical presentations, and publication development. Beyond internships, he maintains active collaboration with global researchers, including Prof. Dumitru Baleanu and several Indian and international scholars. His experience includes not only research publication but also innovation, evidenced by his 12 Indian patents in transformative mathematics and signal processing applications. His work spans education, signal processing, cryptography, and AI-integrated systems.

Honors and Awards

Dr. Prabakaran Raghavendran has garnered several honors reflecting his academic and research excellence. Notably, he has published 12 patents across diverse innovations such as the P-, A-, Y-, S-, and V-Transforms, aimed at revolutionizing signal processing, cryptography, and intelligent robotics. His research has been recognized through full APC support during internships at Symbiosis International University and collaborative efforts with global researchers. His impressive research metrics include 219 citations (Google Scholar), h-index 9, and 355+ RG Score, showcasing his growing influence in applied mathematics and AI. He also contributed to Springer and IGI Global publications, indicating international academic recognition. He was selected for DSIR-funded research internships and is a consistent contributor to Q1/SCIE-indexed journals. These achievements mark him as an emerging thought leader in mathematical modeling, AI-based forecasting, neural networks, and fractional calculus with real-world applications.

Research Focus

Dr. Raghavendran’s research focus lies at the intersection of Fractional Differential Equations, Control Theory, Integral Transforms, and Artificial Intelligence, particularly with applications in Cryptography, Neuroscience, and Signal Processing. His doctoral work explores Impulsive Neutral Fractional Volterra-Fredholm Integro-Differential Systems with state-dependent delay and its controllability, stability, and existence analysis, incorporating AI tools. He has developed novel mathematical tools like the R-, A-, V-, P-, S-, H-, Y-, and K-Transforms to solve complex integro-differential equations and enhance cryptographic security and robotics applications. His interests also span Artificial Neural Networks, Fuzzy Analysis, Cryptocurrency forecasting, and AI-based healthcare diagnostics. His interdisciplinary approach blends theory and computational applications, evident from publications in domains such as chemical process modeling, railway safety systems, energy forecasting, and disease prognosis. Dr. Raghavendran’s aim is to develop robust mathematical methodologies to solve real-world problems in intelligent systems, making mathematics more adaptive, applicable, and forward-thinking.

Publications

  • Neural Network Framework for Controllability of Fractional Volterra Fredholm Equations

  •  AI-Driven Controllability of Impulsive Fractional Systems with Delay

  •  Predictive Modelling of Chemical Processes with Machine Learning Synergy

  •  Solving Fractional Differential Equations with Ramadan Group Transform & ML

  •  Existence and Stability of Fractional Volterra-Fredholm Systems with Delay

  •  Stability of Volterra-Fredholm Equations with Delay using New Techniques

Victor Orlov | Mathematics | Best Research Article Award

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Victor Orlov | Mathematics | Best Research Article Award

 Moscow State University of Civil Engineering | Russia

Professor Orlov Viktor Nikolaevich is a distinguished mathematician with over five decades of academic and research experience. He began his career after graduating in Mathematics from Chuvash State University in 1973. Over the years, he earned advanced degrees including a Ph.D. in Physical and Mathematical Sciences (1989) and a Doctor of Sciences in Mathematical Modeling (2011). His academic journey has seen him hold prominent positions at institutions like Cheboksary State Agricultural Academy, Russian State Social University, and Kazan Federal University. Currently, he serves as a professor at the Department of Higher Mathematics. An expert in mathematical modeling and nonlinear differential equations, Prof. Orlov has authored over 260 publications, including monographs, textbooks, patents, and articles indexed in WoS and Scopus. He also serves as an editorial board member and reviewer for multiple international journals. His dedication to mathematics has significantly shaped the Russian and international scientific communities.

Publication Profile

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Education

Orlov Viktor Nikolaevich began his academic journey at Chuvash State University, where he completed his undergraduate degree in Mathematics in 1973. He then pursued postgraduate studies at the Herzen Leningrad State Pedagogical Institute, completing them in 1982. In 1989, he successfully defended his Candidate of Sciences (Ph.D.) dissertation in Differential Equations at Belarusian State University (BSU), Minsk. This was followed by the conferment of the Associate Professor title in 1992. Driven by a desire for further specialization, he enrolled in the doctoral program at Moscow State University for the Humanities in 2009. In April 2011, he earned the prestigious Doctor of Physical and Mathematical Sciences degree in the field of Mathematical Modeling, Numerical Methods, and Software Packages, with his dissertation focusing on nonlinear differential equations with moving singularities. His education forms the foundation of his longstanding scientific excellence and teaching acumen.

Experience

Professor Orlov’s rich professional journey spans over 52 years in academia. From 2003–2006, he served as Head of the Department of Computer Science and Computer Engineering at Cheboksary State Agricultural Academy. From 2007–2011, he led the Department of Mathematics, Computer Science, and Modeling at the Russian State Social University (Cheboksary branch). In 2012, he became Head of the Department of Algebra and Geometry at I. Ya. Yakovlev Cheboksary State Pedagogical University. From 2015, he headed the Department of Mathematics and Methods of Teaching Mathematics at Kazan Federal University’s Yalta branch. Between 2017–2021, he worked at Moscow State University of Civil Engineering, where he continues today as Professor in the Department of Higher Mathematics. His leadership extended to education quality control as an expert for Rosobrnadzor from 2015 to 2018. Prof. Orlov has played key roles in enhancing mathematical education and research infrastructure in Russia.

Honors and Awards

Professor Orlov has been consistently recognized for his outstanding contributions to science and education. He has received 5 patents for inventions and 9 certificates for algorithms and software programs, showcasing his commitment to applied research. He received three competitive research grants from the National Research University Moscow State University of Civil Engineering in 2022, all completed ahead of schedule. In 2023, he led another successful grant project. He is a highly sought-after academic editor and reviewer, contributing to over 90 reviews for MDPI journals such as Mathematics (Q1) and Axioms (Q2), and serves on the editorial boards of multiple journals including Bulletin of ChSPU and Brest State Technical University. He was the Editor-in-Chief of Axioms special issues in 2022 and 2023. His impact is evidenced by his Russian Hirsch index of 18 and foreign index of 9, marking him as a respected figure in global academia.

Research Focus

Professor Orlov’s research expertise lies at the intersection of analytical theory of differential equations, fractional calculus, and computational mathematics. His landmark work revolves around the mathematical modeling of nonlinear differential equations with moving singularities, which was the basis of his doctoral dissertation. He has advanced the theory and applications of differential equations with fractional derivatives, a critical area in modeling complex physical and engineering systems. His contributions also span numerical methods, scientific software development, and simulation of dynamic systems. With over 260 publications, including 223 scientific articles, 39 educational works, 4 monographs, and multiple patents, his research addresses both theoretical advancements and real-world applications. He actively engages in interdisciplinary research, often collaborating across physics, engineering, and computer science. Prof. Orlov’s work not only enhances theoretical understanding but also contributes practical solutions, particularly in the fields of mechanical systems and deformable body mechanics.

Publications

  •  Development of a Mathematical Modeling Method for Nonlinear Differential Equations with Moving Singularities

  • Analytical Approach to Differential Equations with Fractional Derivatives

  • Computational Algorithms for Solving Boundary Value Problems in Mechanics

  • Numerical Simulation of Complex Dynamic Systems in Engineering

  • Mathematical Modeling of Physical Systems with Variable Parameters

  •  On the Convergence of Numerical Methods in Differential Equations

  •  Modeling of Heat Transfer Using Fractional Calculus

  • Nonlinear Oscillations in Mechanical Structures: A Simulation Study

  • Software Packages for Analytical Solutions of Nonlinear Equations