Bhargavi D | Applied Mathematics | Best Researcher Award

Assoc. Prof. Dr. Bhargavi D | Applied Mathematics | Best Researcher Award

National Institute of Technology Warangal | India

Dr. D. Bhargavi is an accomplished academic and researcher in applied mathematics, specializing in fluid mechanics and numerical heat transfer. She holds advanced degrees in mathematics, culminating in a doctoral qualification from a premier technical institute, with research focused on forced convection heat transfer in porous channel systems. Her academic career reflects extensive experience across teaching, research, and academic leadership at a leading national institute, where she has progressed through faculty roles and contributed significantly to curriculum development at undergraduate and postgraduate levels. Her research interests encompass porous media flows, magnetohydrodynamics, thermal non-equilibrium modeling, viscous dissipation, numerical methods, and computational fluid dynamics. She has supervised multiple doctoral and postgraduate research projects, fostering interdisciplinary applications of mathematical modeling in engineering and science. Her scholarly output includes a substantial number of high-impact journal publications, conference papers, and book chapters with reputed international publishers. Recognized for academic excellence, she has received competitive national fellowships and best paper awards at international conferences. In addition to research, she has actively contributed to faculty development programs, workshops, and international conferences, and has undertaken key academic and administrative responsibilities. Overall, her career reflects sustained contributions to advanced mathematical research, high-quality teaching, and the development of computational approaches for complex heat and fluid flow problems.

Citation Metrics (Scopus)

250
200
50
30
10
0

Citations
230

Documents
33

h-index
8

Citations

Documents

h-index

Featured Publications

Full text availability depends on publisher access

Gaurang Sharma | Mathematics | Young Researcher Award

Dr. Gaurang Sharma | Mathematics | Young Researcher Award

College of Agricultural Engineering & Technology | India

Dr. Sharma Gaurangkumar Bhanuprasad is a dedicated academician and researcher currently serving as an Assistant Professor at the College of Agricultural Engineering & Technology, Godhra. He holds a doctoral degree in Mathematics with a strong foundation in advanced mathematical concepts and their real-world applications. His primary research interests include mathematical modeling and epidemiology, with a focus on developing analytical frameworks for understanding complex biological and environmental systems. He has contributed significantly to the research community through multiple publications, including five journal papers indexed in reputable scientific databases, two research papers presented at international conferences, and two patents under process. His Google Scholar profile reflects his growing scholarly influence, supported by a citation count of three, documented research outputs, and measurable academic contributions. He is also associated with professional bodies through two memberships, reinforcing his involvement in collaborative scientific initiatives. His research identifiers include an ORCID profile and a Scopus Author ID, ensuring transparent documentation of his academic work. He has been honored with the SHODH scholarship awarded by the Education Department of Gujarat for research excellence. Dr. Sharma continues to advance innovative ideas in mathematical sciences, contributing meaningfully to the academic, scientific, and applied research communities.

Profile: Google Scholar

Featured Publications

Sharma, A., Sharma, G., & Singh, F. (2023). Computational models to study the infectious disease COVID-19: A review. International Journal of Mathematical Modelling and Numerical Optimisation.

Sharma, G., Sharma, A., & Parmar, N. (2024). A delay differential equation model on COVID-19 with vaccination strategy. RAIRO – Operations Research, 58(5), 4093–4117.

Sharma, G., & Sharma, A. (2024). The effect of double dose of vaccination on COVID-19 infection in India: A mathematical study. World Scientific News, 195, 7–18.

Sharma, G., & Sharma, A. (2025). Computational model on viral load dynamics in response to COVID-19 infection in a cell. The European Physical Journal Plus, 140(11), 1–15.

Sharma, G., Sharma, A., & Parmar, N. (2025). Mathematical model on COVID-19 transmission with absence and presence of second dose of vaccination in Turkey. TWMS Journal of Applied and Engineering Mathematics.

Sk Safique Ahmad | Mathematics | Best Researcher Award

Prof. Sk Safique Ahmad | Mathematics | Best Researcher Award

Indian Institute of Technology Indore | India

Sk Safique Ahmad is a distinguished professor of mathematics with a research focus on numerical linear algebra, eigenvalue problems, quaternion algebra, and applications in control theory and data science. His academic journey reflects a strong dedication to advancing both theoretical and applied mathematics. He has contributed significantly through publications in reputed journals, invited talks at global conferences, and mentoring of doctoral scholars. His work emphasizes bridging fundamental mathematics with interdisciplinary applications. With extensive research projects, administrative roles, and outreach initiatives, he has emerged as an influential figure in the mathematical sciences community.

Professional Profile

Google Scholar

Education

Prof. Ahmad pursued a comprehensive academic path in mathematics, beginning with undergraduate and postgraduate studies in Utkal University, where he built a strong foundation in pure and applied mathematics. He further advanced with an MPhil degree from Revenshaw University, focusing on deeper aspects of mathematical theories. His scholarly pursuits culminated with a doctoral degree in mathematics from IIT Guwahati, where he specialized in numerical linear algebra and related problem-solving frameworks. His education reflects a consistent trajectory of academic excellence and a commitment to research-driven learning, shaping his later contributions to mathematics and scientific computing.

Professional Experience

Prof. Ahmad has held academic and research positions across leading institutions. He began his career as a research associate at IISc Bangalore and later pursued postdoctoral research at TU Berlin, where he explored advanced aspects of linear algebra and eigenvalue problems. His journey continued at IIT Indore, where he has served in progressive roles as assistant professor, associate professor, and currently as professor of mathematics. Alongside teaching, he has supervised doctoral students, organized international workshops, and contributed actively to departmental development. His career highlights his ability to integrate research, teaching, and academic leadership effectively.

Awards and Recognition

Prof. Ahmad has received recognition from national and international bodies through research grants, travel fellowships, and invitations to global mathematical forums. He has secured funding from agencies such as the Department of Science and Technology and received support from international foundations including Simons Foundation and Chebyshev grants for research interactions. His selection for participation in major international congresses reflects his academic standing. In addition, he has been invited to deliver keynote lectures, organize workshops, and serve as a reviewer for reputed journals. These honors reflect his scholarly impact and contribution to advancing mathematics.

Research Skills

Prof. Ahmad specializes in numerical linear algebra with expertise in linear and nonlinear eigenvalue problems, multiparameter eigenvalue frameworks, and quaternion algebra. His skills extend to structured perturbation analysis, saddle point problems, and their applications in control systems, aeroelasticity, and machine learning. He has supervised doctoral theses addressing advanced computational and algebraic methods, ensuring both theoretical innovation and practical applications. His ability to bridge computational methods with real-world systems demonstrates his versatility as a researcher. With numerous peer-reviewed publications, collaborative projects, and conference engagements, his research skills continue to shape advancements in modern mathematical sciences.

Notable Publications

Pseudospectra, critical points and multiple eigenvalues of matrix polynomials
Author: SS Ahmad, R Alam
Journal: Linear Algebra and its Applications 430 (4), 1171-1195
Year: 2009
Citations: 32

On pseudospectra, critical points, and multiple eigenvalues of matrix pencils
Author: SS Ahmad, R Alam, R Byers
Journal: SIAM Journal on Matrix Analysis and Applications 31 (4), 1915-1933
Year: 2010
Citations: 31

Perturbation analysis for complex symmetric, skew symmetric, even and odd matrix polynomials
Author: SS Ahmad, V Mehrmann
Journal: Electronic Transactions on Numerical Analysis 38, 275-302
Year: 2011
Citations: 22

Pseudospectra of matrix pencils and their applications in perturbation analysis of eigenvalues and eigendecompositions
Author: SS Ahmad
Journal:
Year: 2007
Citations: 19

The fully implicit stochastic-α method for stiff stochastic differential equations
Author: SS Ahmad, NC Parida, S Raha
Journal: Journal of Computational Physics 228 (22), 8263-8282
Year: 2009
Citations: 18

Conclusion

Prof. Sk Safique Ahmad represents a blend of academic depth, research innovation, and professional leadership in the field of mathematics. His scholarly contributions in numerical linear algebra and eigenvalue problems have established him as a leading researcher, while his commitment to teaching and mentoring has shaped the next generation of mathematicians. His global collaborations, recognition from scientific bodies, and dedication to interdisciplinary applications reinforce his stature. By integrating research, teaching, and service, he continues to contribute meaningfully to the development of mathematical sciences and its role in addressing contemporary scientific and engineering challenges.

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

Derya Yildirim Sucu | Mathematics | Best Researcher Award

Dr. Derya Yildirim Sucu | Mathematics | Best Researcher Award

Aksaray Üniversitesi-India

Author Profile

Early Academic Pursuits

Derya YILDIRIM SUCU, born on February 15, 1986, embarked on her academic journey with a strong foundation in mathematics. Her early education took place at Aydınlıkevler Anadolu Lisesi, where she graduated in 2004 with a focus on foreign languages. Following this, she pursued a Bachelor’s degree in Mathematics from Hacettepe University, completing it in 2009. Her passion for mathematical analysis led her to Kırıkkale University, where she earned her Master’s degree in Analysis and Functions Theory in 2016. Derya furthered her academic qualifications by obtaining a Ph.D. in Applied Mathematics from Nevşehir Hacı Bektaş Veli University in 2023.

Professional Endeavors

Derya’s professional career is marked by her diverse roles in both educational and administrative capacities. From 2010 to 2016, she worked as a mathematics teacher in private educational institutions, gaining extensive experience in teaching and tutoring. Her dedication to education continued as she joined Özel DEMER Eğitim Kurumları for a year as a mathematics teacher. In 2017, she transitioned to Aksaray University, where she served as a Computer Operator until 2023. Throughout her career, Derya has demonstrated a commitment to fostering mathematical understanding and applying her skills in various professional contexts.

Contributions and Research Focus

Dr. Derya YILDIRIM SUCU has made significant contributions to the field of mathematics, particularly in applied and computational mathematics. Her research interests are diverse, including numerical analysis, differential equations, mathematical modeling, and computational science. She has focused on various numerical methods such as the finite element method, collocation method, and B-spline methods. Her doctoral thesis, “Bazı Kısmi Türevli Denklemlerin B-Spline Sonlu Elemanlar Yöntemi ile Nümerik Çözümleri,” highlights her expertise in solving partial differential equations using numerical techniques.

Accolades and Recognition

Derya’s scholarly work has been recognized in numerous international and national publications. She has co-authored several articles with esteemed mathematicians like Prof. Dr. S. Battal Gazi KARAKOÇ. Her research has been published in high-impact journals such as the Chinese Journal of Physics and Applied Numerical Mathematics. Additionally, her work has been presented at various international conferences, underscoring her role in advancing mathematical research and applications.

Impact and Influence

Dr. Derya YILDIRIM SUCU’s research has significantly impacted the field of numerical analysis and applied mathematics. Her innovative approaches to solving complex mathematical problems have provided valuable insights and tools for other researchers. Her collaboration with other mathematicians and her publications in prestigious journals have cemented her reputation as a knowledgeable and influential figure in her field.

Legacy and Future Contributions

Looking ahead, Dr. Derya YILDIRIM SUCU is poised to continue her contributions to mathematics. Her research will likely explore new numerical methods and their applications to solve emerging problems in science and engineering. Her legacy will be defined by her commitment to education, her pioneering research, and her ability to inspire future generations of mathematicians. Derya’s ongoing work promises to contribute significantly to the advancement of numerical and computational mathematics.