Raghavendran Prabakaran | Mathematics | Young Scientist Award

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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

Assist. Prof. Dr. Dipesh | Mathematics | Best Researcher Award

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Assist. Prof. Dr. Dipesh | Mathematics | Best Researcher Award

SR University, India

Author Profile

GOOGLE SCHOLAR

EARLY ACADEMIC PURSUITS

Dr. Dipesh embarked on his academic journey with a strong foundation in science, demonstrating excellence from high school through higher education. He pursued Applied Mathematics with passion, completing his doctoral studies at Lovely Professional University, Punjab, where his research was recognized for innovation and impact. His commitment to advanced learning led him to a Postdoctoral Research Fellowship at Harran University, Turkey, specializing in Mathematical Modelling.

PROFESSIONAL ENDEAVORS

With a career devoted to teaching, research, and institutional development, Dr. Dipesh has served as an Assistant Professor in reputed institutions, including Lovely Professional University, Punjab and SR University, Warangal. His professional journey includes significant roles such as Coordinator of the Department of Intellectual Property Rights, where he contributed to academic growth through lectures, workshops, and patent drafting. He has also successfully coordinated national-level programs, including the RAFAS 2024 and the National Workshop on MATLAB and LaTeX (NWML-2016).

CONTRIBUTIONS AND RESEARCH FOCUS IN PSYCHIATRIC NURSING

Dr. Dipesh’s research lies at the intersection of Mathematical Modelling, Differential Equations, and Applied Analysis, with a special emphasis on stability analysis, bifurcation theory, and allelopathic interactions in plant populations. His work extends to signal processing algorithms and applied numerical simulations, showcasing a multidisciplinary approach. He has authored multiple copyrighted works, including MATLAB programs and innovative models addressing ecological and technological challenges.

ACCOLADES AND RECOGNITION

  • Best Thesis Award (2023) for outstanding doctoral research.

  • Best Reviewer Award (2023) by the Asian Research Journal of Mathematics.

  • Scientists Research Award (2025) for remarkable academic contributions.
    His work is widely cited across platforms such as Google Scholar and ResearchGate, reflecting the recognition and utilization of his research by the global academic community.

IMPACT AND INFLUENCE

Dr. Dipesh’s contributions have had a profound academic and scientific impact. His research has provided valuable insights into ecological systems and applied mathematics, enhancing understanding in both theoretical and practical contexts. Through his teaching and mentorship, he has inspired students to engage deeply with mathematics and pursue advanced studies. His involvement in intellectual property rights further underscores his influence in shaping research innovation and academic growth within institutions.

LEGACY AND FUTURE CONTRIBUTIONS

Dr. Dipesh envisions creating a legacy of high-quality teaching, impactful research, and institutional excellence. His future goals include expanding his work in Mathematical Modelling for environmental and technological systems, fostering collaborations across international borders, and contributing to ranking, admissions strategy, quality teaching, and student placements to strengthen institutional goodwill.

NOTABLE PUBLICATION:

A Novel Approaches to 6th-Order Delay Differential Equations in Toxic Plant Interactions and Soil Impact: Beyond Newton-Raphson
Authors: Dipesh, P Kumar
Journal: Physica Scripta
Year: 2024

Status and Prospects of GdIG Garnet Ferrites for Energy Storage Devices: A Review
Authors: A Sharma, Dipesh, H Mahajan, AK Srivastavaa
Journal: Next Generation Materials for Sustainable Engineering
Year: 2024

Mathematical Model of Cynodon Dactylon’s Allelopathic Effect on Perennial Ryegrass for Exploring Plant-Plant Interactions Based Upon Ordinary Differential Equations
Authors: Dipesh, P Kumar, A Sharma
Journal: Partial Differential Equations in Applied Mathematics
Year: 2025

Optimizing Allelopathic Interactions: Stability Analysis with Time Delay in Plant Populations
Authors: Dipesh, P Kumar, G Kaur
Journal: Palestine Journal of Mathematics
Year: 2025

On the Hopf Bifurcation and Equilibrium Points of Partial Benefit Symbiosis of Financial Market Using Delay Differential Equations
Authors: D Li, Dipesh, SP Atmaca, P Kumar
Journal: Fractals
Year: 2025

Modelling the Role of Delay in Blood Flow Dynamics in Human Body Using Delay Differential Equations
Authors: Dipesh, P Kumar
Journal: Physica A: Statistical Mechanics and its Applications
Year: 2025

CONCLUSION

In summary, Dr. Dipesh stands out as a dedicated academician, researcher, and innovator whose work bridges theoretical mathematics with real-world applications. His passion for knowledge dissemination, research excellence, and academic leadership continues to make a lasting impact on both students and the wider scientific community.

Kanika | Mathematics | Best Researcher Award

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Ms. Kanika | Mathematics | Best Researcher Award

National Institute of Technology, Agartala, India

Author Profile

GOOGLE SCHOLAR

🎓 EARLY ACADEMIC PURSUITS

Ms. Kanika laid a strong foundation in science and mathematics through her formal education in Haryana. Her academic interests matured further during her undergraduate studies in Mathematics, Physics, and Computer Science at Banasthali Vidyapith, Rajasthan. Recognizing her aptitude in mathematical sciences, she pursued a Master’s degree in Mathematics and Computing from the National Institute of Technology (NIT), Agartala. These formative years were instrumental in shaping her analytical abilities and fueling her passion for solving real-world challenges through mathematical principles.

🏢 PROFESSIONAL ENDEAVORS

Kanika’s academic path is enriched by practical engagements in computing and research. She contributed to the development of an Admission Management System during her undergraduate years, streamlining administrative processes and enhancing digital access in higher education institutions. At NIT Agartala, her postgraduate thesis focused on portfolio optimization under uncertainty, guided by Prof. Debasish Bhattacharya, aligning theoretical research with financial applications.

📚 CONTRIBUTIONS AND RESEARCH FOCUS IN MATHEMATICS

Ms. Kanika’s research interests are deeply rooted in applied mathematics, with a focus on:

  • Optimization Techniques

  • Uncertainty Theory

  • Graph Theory

  • Numerical Analysis

  • Scientific Computing

  • Machine Learning Integration

Her postgraduate research proposed a novel uncertain mean semi-absolute deviation model for portfolio optimization problems. This work introduced a new approach to evaluating financial risk and return under uncertain environments, incorporating transaction costs and cardinality limitations—contributing significantly to computational finance and mathematical modeling in economics.

🏅 ACADEMIC CITATIONS, ACCOLADES AND RECOGNITION

  • Selected for national-level mathematics training programs including MTTS (IISER-Thiruvananthapuram)

  • Qualified prestigious entrance examinations like IIT JAM, BHU M.Sc. Entrance, and NCERT CEE

  • Recognized by Association of Mathematics Teachers of India (AMTI) through the NMTC

  • Invited for oral presentations on mathematics applications at institutional conclaves

  • Active participation in academic workshops such as:

    • Mathematics: Concepts, Motivation and Applications

    • Research Trends in Mathematics and Technology

    • DigitALL: Innovation and Technology for Gender Equality

🌍 IMPACT AND INFLUENCE

Kanika’s work contributes to evidence-based decision-making in uncertain and data-intensive environments. Her models provide a deeper understanding of risk-return trade-offs, offering potential benefits for both individual investors and institutional finance sectors. With her multidisciplinary approach, she bridges mathematical modeling and machine learning, aiming to impact fields such as financial technology, predictive analytics, and strategic investment planning.

🧭 LEGACY AND FUTURE CONTRIBUTIONS

Kanika envisions her academic journey extending into impactful research that unifies mathematics with artificial intelligence, addressing real-world uncertainty problems in finance, healthcare, and public systems. She is committed to expanding her research into data-driven optimization, contributing to academic literature, mentoring students, and fostering mathematical thinking across disciplines.

 ✅CONCLUSION

Ms. Kanika represents a new era of mathematically-grounded, forward-thinking researchers. With her strong foundation, interdisciplinary orientation, and commitment to societal problem-solving, she is poised to make enduring contributions in academia, applied research, and scientific innovation.

🔬NOTABLE PUBLICATION:

Prediction of eco sustainability component using fuzzy Z numbers based ratio analysis and interval type 3 fuzzy logic system
Authors: A. Tarafdar, Kanika, A. Shaikh, P. Majumder, D. Pamucar, V. Simic, U.K. Bera
Journal: Journal of Cleaner Production
Year: 2024

Portfolio adjusting model using uncertainty theory: an application to real finance market
Authors: S. Chhatri, D. Bhattacharya, S. Priyadarshini, K. Kanika
Journal: 2023 IEEE Silchar Subsection Conference (SILCON)
Year: 2023