Mr. Raghavendran Prabakaran | Mathematics | Young Scientist Award

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

Prabakaran Raghavendran is a dedicated researcher specializing in mathematics, artificial intelligence, and cryptography. His academic journey reflects a strong commitment to advancing knowledge in fractional differential equations, control theory, and fuzzy analysis. He has actively contributed to interdisciplinary research, blending mathematical concepts with modern technologies like artificial intelligence and neural networks. With multiple internships, projects, and research publications, he has demonstrated versatility in both theoretical and applied domains. His work extends to brain-computer interface research and energy forecasting applications, making his contributions impactful and innovative. He continues to build his career with a vision of bridging mathematics and emerging technologies.

Professional Profile

Scopus Profile

Education

Prabakaran Raghavendran pursued his Bachelor’s degree in Mathematics at Loyola College, Chennai, followed by a Master’s degree in Mathematics from Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology. He is currently working toward completing his Ph.D. at the same institution, with his research centered on impulsive neutral fractional integro-differential systems applied in artificial intelligence and cryptography. His academic journey reflects strong foundations in advanced mathematical theories and their applications, complemented by specialized training in programming and software tools such as MATLAB, SPSS, Mathematica, and Python. He has also completed certified online courses enhancing his expertise.

Professional Experience

Prabakaran Raghavendran has gained diverse professional experience through research internships and industry-oriented roles. He served as a Project Intern at the Symbiosis Institute of Digital and Telecom Management, contributing to projects involving brain-computer interfaces, artificial intelligence, and energy forecasting. Earlier, he worked with CGI InfoSys & Management Consultants Pvt Ltd as an Associate Software Engineer, developing client software solutions. His experience also includes internship training in Python and LaTeX at Loyola College and finance management training at Falcon Enterprises. These roles have strengthened his technical and analytical skills while fostering his ability to collaborate in interdisciplinary research and professional projects.

Awards and Recognition

Prabakaran Raghavendran has earned several prestigious awards for his contributions to research. He received the Young Scientist Award from both the International Young Scientist Awards and Computer Scientists Awards in 2025. He was recognized as the top research scholar at his university’s Annual Research Scholar Symposium, achieving first rank and a cash prize for outstanding contributions. Additionally, he received the Young Researcher Award from the ITSR Foundation in 2024 and monetary incentives for patent achievements from Vel Tech University. His paper presentations have also earned him accolades, including the Best Paper Presentation Award at an international conference in 2024.

Research Skills

Prabakaran Raghavendran has developed strong research skills in fractional differential equations, control theory, fuzzy algebra, integral transforms, and artificial intelligence applications. His Ph.D. research focuses on stability, uniqueness, and controllability of integro-differential systems with applications in AI and cryptography. He has also worked on projects involving brain-computer interfaces and AI-driven energy forecasting. Proficient in mathematical modeling and numerical analysis, he integrates theoretical frameworks with practical applications. His software expertise includes MATLAB, Mathematica, SPSS, and Python. With extensive experience in manuscript reviewing for reputed journals, he brings strong analytical and evaluative skills, contributing meaningfully to academic and applied research.

Conclusion

Prabakaran Raghavendran exemplifies a dynamic blend of academic excellence, research innovation, and professional versatility. His contributions span mathematics, artificial intelligence, cryptography, and neuroscience applications, highlighting his interdisciplinary approach. With recognized awards, impactful publications, and active roles in international research communities, he continues to build a distinguished academic and research profile. His commitment to innovation, combined with his teaching and collaborative skills, positions him as a promising scholar capable of advancing knowledge and contributing to technological progress. With a clear vision and strong determination, he is well-prepared to achieve significant milestones in mathematics and its real-world applications.

Notable Publications

Title: Controllability results for multi-order impulsive neutral fuzzy functional integro-differential equations with finite delay
Journal: Systems and Soft Computing
Year: 2025

Title: Controllability of Intuitionistic Fuzzy Neutral Integro-Differential Equations with Nonlocal Conditions
Journal: Systems and Soft Computing
Year: 2025

Title: A study on the existence results for neutral functional random integro-differential equations with infinite delay
Journal: Journal of Mathematical Modeling
Year: 2025