Dilbag Singh | Mathematics | Best Researcher Award

Assist. Prof. Dr. Dilbag Singh | Mathematics | Best Researcher Award

Panjab University | India

Dr. Dilbag Singh Kahlon is an accomplished academic and researcher in the field of mathematics, currently serving as an Assistant Professor at Panjab University, Chandigarh. With a strong foundation in applied mathematics, his work primarily focuses on wave propagation, elasticity, and ultrasonic methods for structural health monitoring. He has been actively involved in international research collaborations and has contributed extensively to scholarly literature. His academic journey and global research exposure have positioned him as a recognized expert in mathematical modeling related to nondestructive evaluation, earning respect in both academic and research communities.

Professional Profile

Google Scholar

Education

Dr. Kahlon pursued his education in mathematics from Panjab University, where he completed his undergraduate and postgraduate studies with honors. He later earned his doctorate in mathematics, focusing on dynamical problems in micropolar elasticity. His academic training has been deeply rooted in mathematical theories and their applications, particularly in wave mechanics. Throughout his educational journey, he was supported by prestigious national fellowships and maintained a consistent academic record. His academic background laid a strong foundation for his later research in applied mathematics, particularly in elasticity, wave propagation, and computational methods.

Professional Experience

Dr. Kahlon has held teaching and research positions in both India and Europe. He is presently a faculty member in the Department of Mathematics at Panjab University. Prior to this, he was engaged in postdoctoral research in France at prestigious institutions, where he developed mathematical models using ultrasonic guided waves. His research also involved solving inverse problems in defect sizing of composite materials. These professional experiences have equipped him with practical skills in finite element modeling and a deep understanding of mathematical applications in physical systems, which he integrates into both teaching and research.

Awards and Recognition

Dr. Kahlon has received numerous fellowships and recognitions throughout his academic and research career. He was awarded postdoctoral fellowships by premier French institutions and received national research fellowships during his doctoral studies. Additionally, he was granted a startup research fund and participated in an international research grant, contributing as a co-investigator. He has also earned academic distinctions during his undergraduate studies and secured travel grants to present his work at international conferences. His achievements reflect his dedication to scientific excellence and his growing influence in applied mathematics and engineering research.

Research Skills

Dr. Kahlon’s research skills span a wide range of mathematical and computational techniques. He is an expert in finite element modeling and has applied these methods extensively to study wave propagation in elastic and microstructured media. His work includes the use of guided waves for detecting structural defects, modeling wave interactions in complex materials, and solving inverse problems. He is proficient in scientific computing using tools such as MATLAB, FORTRAN, Mathematica, and COMSOL. His multidisciplinary research is supported by strong collaborations with international institutions, enhancing the practical impact of his theoretical contributions.

Notable Publications

Waves in Nonlocal Elastic Solid with Voids
Author: D Singh, G Kaur, SK Tomar
Journal: Journal of Elasticity, 1-30
Year: 2017
Citations: 132

Sizing of Impact Damages in Composite Materials Using Ultrasonic Guided Waves
Author: M Castaings, D Singh, P Viot
Journal: NDT & E International 46, 22-31
Year: 2012
Citations: 95

Rayleigh-Type Wave in a Nonlocal Elastic Solid with Voids
Author: G Kaur, D Singh, SK Tomar
Journal: European Journal of Mechanics – A/Solids 71, 134-150
Year: 2018
Citations: 59

Love Waves in a Nonlocal Elastic Media with Voids
Author: G Kaur, D Singh, SK Tomar
Journal: Journal of Vibration and Control, 1-14
Year: 2019
Citations: 41

Sizing Strip-Like Defects in Plates Using Guided Waves
Author: D Singh, M Castaings, C Bacon
Journal: NDT & E International 44 (5), 394-404
Year: 2011
Citations: 32

Conclusion

Dr. Kahlon’s academic and research journey reflects a deep commitment to advancing mathematical science and its practical applications. Through teaching, mentoring, and collaborative research, he continues to contribute to the field of applied mathematics with a special focus on elasticity and wave mechanics. His international exposure and interdisciplinary collaborations have enriched his perspective and broadened the scope of his work. As a dedicated educator and researcher, he remains actively engaged in both academic and scientific communities, striving to develop innovative solutions in mathematical modeling and structural health monitoring.

Raghavendran Prabakaran | Mathematics | Young Scientist Award

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