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Mr. Prabakaran Raghavendran | Differential Equations |Young Scientist Award

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

Prabakaran Raghavendran is a Ph.D. scholar in Mathematics at Vel Tech R&D Institute, specializing in Fractional Differential Equations and Control Theory, with 33 research publications, 12 patent publications, and diverse interdisciplinary research internships in AI, neuroscience, and energy forecasting.

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Scholar

🎓 Education 

He is currently pursuing a Ph.D. in Mathematics from Vel Tech R&D Institute; completed his M.Sc. Mathematics with 9.79 CGPA from the same institute in 2022; earned a B.Sc. in Mathematics with 9.25 CGPA from Loyola College, Chennai, in 2020; passed Class XII in 2017 with 87.5% and Class X in 2015 with 94% from Velammal Matriculation School.

💼 Experience 

He interned as a software engineer at CGI Infosys, a Python and LaTeX trainee at Loyola College, and in Finance & Accounts at Falcon Enterprises; participated in two major research internships involving AI in neuroscience and energy forecasting; also conducted academic research on fuzzy algebra and COVID-19 employment effects.

🏅 Awards and Honors 

Recipient of the Young Scientist Award 2025, Young Researcher Award 2024, and two cash awards from Vel Tech University for patent excellence; awarded Rank 1 in SRASS 2025; life member of ISFSEA, IOASD, and IAENG; presented at ICMMAAC-24 in Lebanon with international recognition.

🔬 Research Focus 

His core research lies in Fractional Differential Equations, Control Theory (linear, nonlinear, stochastic, fuzzy), Integral Transforms, Cryptography, Fuzzy Algebra, and AI applications, with practical emphasis on solving boundary value problems, signal processing, robotics, and real-world optimization challenges.

📝 Conclusion

Prabakaran Raghavendran has shown exceptional promise as a researcher, with outstanding academic performance and a rich research portfolio that includes a variety of innovative patents. His interdisciplinary approach, along with his accolades such as the Young Scientist Award and Best Paper Presentation Award, clearly position him as a strong candidate for future awards and recognition in the scientific community. By expanding his research collaboration and focusing on the real-world applications of his work, he has the potential to make significant contributions to both academic and applied sciences.

Publication

    • Title: Analyzing existence, uniqueness, and stability of neutral fractional Volterra-Fredholm integro-differential equations
      Year: 2024
      Authors: T. Gunasekar, P. Raghavendran, S.S. Santra, M. Sajid

    • Title: Solving fractional integro-differential equations by Aboodh transform
      Year: 2024
      Authors: P. Raghavendran, T. Gunasekar, H. Balasundaram, S.S. Santra

    • Title: Application of Laplace transform to solve fractional integro-differential equations
      Year: 2024
      Authors: B.H. Gunasekar T., Raghavendran P., Santra Sh. S., Majumder D., Baleanu D.

    • Title: Advancing Cryptographic Security With Kushare Transform Integration
      Year: 2024
      Authors: R. Prabakaran, T. Gunasekar

    • Title: Applications of the R-Transform for Advancing Cryptographic Security
      Year: 2024
      Authors: T. Gunasekar, P. Raghavendran

    • Title: The Mohand transform approach to fractional integro-differential equations
      Year: 2024
      Authors: T. Gunasekar, P. Raghavendran

    • Title: Existence and controllability results for neutral fractional Volterra-Fredholm integro-differential equations
      Year: 2024
      Authors: T. Gunasekar, P. Raghavendran, S.S. Santra, M. Sajid

    • Title: Study of non-linear impulsive neutral fuzzy delay differential equations with non-local conditions
      Year: 2023
      Authors: T. Gunasekar, J. Thiravidarani, M. Mahdal, P. Raghavendran, A. Venkatesan

    • Title: Application of artificial neural networks for existence and controllability in impulsive fractional Volterra-Fredholm integro-differential equations
      Year: 2024
      Authors: P. Raghavendran, T. Gunasekar, S. Gochhait

 

Prabakaran Raghavendran | Differential Equations | Young Scientist Award

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