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