Gaurang Sharma | Mathematics | Young Researcher Award

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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.

Shravan Kumar Rudrabhatla | Mathematics | Best Researcher Award

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Assist. Prof. Dr. Shravan Kumar Rudrabhatla | Mathematics | Best Researcher Award

Anurag University | India

Dr. Shravan Kumar R is an emerging researcher in the field of Fluid Dynamics and Artificial Neural Networks, currently serving as an Assistant Professor at Anurag University. He earned his Ph.D. from the National Institute of Technology, Warangal, where his work focused on the artificial neural network treatment of Casson fluid flow over a radially stretching sheet. His academic foundation includes an M.Sc. in Applied Mathematics from NIT Warangal and a B.Ed. and B.Sc. from Kakatiya University. His research interests encompass fluid dynamics, differential equations, and computational modelling using deep learning techniques. Dr. Kumar has published several impactful papers in reputed journals such as the Journal of Thermal Analysis and Calorimetry, International Journal of Applied and Computational Mathematics, and European Journal of Mechanics – B/Fluids. His scholarly output has achieved an h-index of 3, i10-index of 2, and 50 citations as per Google Scholar. A recipient of strong academic distinctions, including qualifying the SET and securing a top rank in GATE, he has actively participated in conferences, FDPs, and workshops on mathematics, AI, and machine learning. Dr. Kumar continues to integrate neural networks with fluid mechanics, contributing toward advancing computational mathematics and intelligent simulation methods.

Profile: Google Scholar

Featured Publications

Srinivasacharya, D., & Kumar, R. S. (2022). Artificial neural network modeling of the Casson fluid flow over unsteady radially stretching sheet with Soret and Dufour effects. Journal of Thermal Analysis and Calorimetry, 147(24), 14891–14903. https://doi.org/10.1007/s10973-022-XXXXX-X

Srinivasacharya, D., & Kumar, R. S. (2023). An artificial neural network solution for the Casson fluid flow past a radially stretching sheet with magnetic and radiation effect. Mathematical Models and Computer Simulations, 15(5), 944–955. https://doi.org/10.1134/S207004822305XXX

Srinivasacharya, D., & Kumar, R. S. (2023). Neural network analysis for bioconvection flow of Casson fluid over a vertically extending sheet. International Journal of Applied and Computational Mathematics, 9(5), 80. https://doi.org/10.1007/s40819-023-016XX-X

Nallpu, S., Sneha, G. S., & Kumar, R. S. (2018). Effect of slip on Jeffrey fluid flow through an inclination tube. Journal of Physics: Conference Series, 1000(1), 012041. https://doi.org/10.1088/1742-6596/1000/1/012041

Rudrabhatla, S. K., & Srinivasacharya, D. (2025). Deep learning framework for Casson fluid flow: A PINN approach to heat and mass transfer with chemical reaction and viscous dissipation. European Journal of Mechanics – B/Fluids, 204401. https://doi.org/10.1016/j.euromechflu.2025.204401

Salahuddin | Mathematics | Best Academic Researcher Award

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Assoc. Prof. Dr. Salahuddin | Mathematics | Best Academic Researcher Award

Amet University | India

Dr. Salahuddin is an accomplished academic and researcher currently serving as an Associate Professor in the Department of Mathematics at AMET University, Chennai. He holds a Ph.D. in Mathematics and an M.Tech in Computer Sciences, with a distinguished academic and research career spanning over two decades. His extensive experience includes 21 years of teaching, research, and administrative leadership, having served as Head of the Department of Mathematics and Applied Sciences at PDM University, Haryana. With 204 research papers published in reputed journals, 4 books, and 6 book chapters to his credit, Dr. Salahuddin has made significant contributions to areas such as Special Functions, Statistical Analysis, Bio-Statistics, Computer Graphics, and Fuzzy Logic. He has guided Ph.D. and postgraduate students, developed M.Sc. Mathematics curricula, and is proficient in various statistical and mathematical software tools. His work has been recognized through numerous national research and excellence awards. According to Google Scholar, Dr. Salahuddin has received 125 citations, with an h-index of 6 and an i10-index of 3, reflecting his impactful scholarly contributions. His ongoing research continues to integrate mathematical theory with computational applications, promoting innovation and excellence in mathematical sciences.

Profile: Google Scholar

Featured Publication

Arora, A., Singh, R., & Salahuddin. (2008). Development of a summation formulae of half argument using Gauss and Bailey Theorems. Journal of Rajasthan Academy of Physical Sciences, 7(3), 335–342.

Srivastava, H. M., Srivastava, R., Chaudhary, M. P., & Salahuddin. (2020). A family of theta-function identities based upon combinatorial partition identities related to Jacobi’s triple-product identity. Mathematics, 8, 1–14.

Salahuddin, & Khola, R. K. (2014). New hypergeometric summation formulae arising from the summation formulae of Prudnikov. South Asian Journal of Mathematics, 4(4), 192–196.

Salahuddin. (2011). A new summation formula allied with hypergeometric function. Global Journal of Science Frontier Research, 11(6), 21–37.

Salahuddin, & Chaudhary, M. P. (2010). Development of some summation formulae using hypergeometric function. Global Journal of Science Frontier Research, 10(1), 36–48.

Sk Safique Ahmad | Mathematics | Best Researcher Award

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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.

Deepak Kumar Mahanta | Mathematics | Best Researcher Award

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Mr. Deepak Kumar Mahanta | Mathematics | Best Researcher Award

Indian Institute of Technology Jodhpur, Rajasthan | India

Deepak Kumar Mahanta is a dedicated researcher in mathematics, currently pursuing a Ph.D. at the Indian Institute of Technology Jodhpur under the guidance of esteemed faculty members. His academic journey reflects a strong foundation in pure mathematics, complemented by active engagement in research on partial differential equations and related areas. He has authored multiple research papers in reputed international journals and contributed to the mathematical community through workshops, seminars, and collaborative projects. His work is characterized by rigor, depth, and originality, aiming to address complex mathematical problems with both theoretical insights and potential practical applications.

Professional Profiles

Scopus | Orcid 

Education

Deepak Kumar Mahanta holds a strong academic background in mathematics, beginning with a Bachelor of Science degree in Mathematics (Hons) from North Odisha University, followed by a Master of Science in Pure Mathematics from Dr. B R Ambedkar National Institute of Technology Jalandhar. He is presently pursuing his doctoral studies in mathematics at the Indian Institute of Technology Jodhpur under the supervision of experienced mentors. His education has been marked by consistent excellence and a focus on advanced mathematical theories, particularly in the domain of nonlinear analysis, variational methods, and partial differential equations, building a solid base for his research endeavors.

Professional Experience

Deepak Kumar Mahanta has actively contributed to academia as a Teaching Assistant at the Indian Institute of Technology Jodhpur, assisting in both undergraduate and postgraduate mathematics courses. His teaching responsibilities have included subjects such as Mathematics-I, Mathematics-II, and Complex Analysis, working alongside various faculty members. In addition to teaching, he has been involved in organizing and participating in numerous national and international workshops, seminars, and symposiums on partial differential equations and related topics. His professional engagement demonstrates a balance of research, teaching, and academic service, fostering a collaborative and intellectually stimulating learning environment.

Awards and Recognition

Deepak Kumar Mahanta has been honored with prestigious academic recognitions for his outstanding performance and dedication to mathematics. He has been awarded a fellowship from the Department of Science and Technology to support his doctoral research. He has also been recognized as a gold medalist for securing the top position in his postgraduate program in mathematics. His consistent academic achievements and success in competitive examinations highlight his strong analytical skills and deep subject understanding. These accolades reflect his commitment to academic excellence and his potential to contribute significantly to the advancement of mathematical research and education.

Research Skills

Deepak Kumar Mahanta possesses a diverse range of research skills, particularly in nonlinear analysis, variational methods, and the study of partial differential equations. His expertise includes working on Schrödinger-Kirchhoff equations, singular and exponential nonlinearities, Trudinger-Moser type inequalities, and anisotropic elliptic systems. He has experience in applying advanced mathematical techniques such as the fibering method and Nehari manifold approach to establish existence and multiplicity results. His work involves both independent problem-solving and collaborative research with international and national experts, leading to publications in respected journals. His proficiency in exploring complex mathematical models underlines his ability to address challenging research problems effectively.

Notable Publications

On (p,n)-Laplace Schrödinger equations with Stein-Weiss convolution parts in Rn
Author: Deepak Kumar Mahanta; Patrick Winkert
Journal: Applied Mathematics Letters
Year: 2026

On coupled nonlocal Schrödinger–Kirchhoff system with singular exponential nonlinearity in RN
Author: Deepak Mahanta; Tuhina Mukherjee; Thin Nguyen
Journal: Electronic Journal of Qualitative Theory of Differential Equations
Year: 2025

Existence and multiplicity of solutions for a class of quasilinear anisotropic elliptic systems via fibering method
Author: Deepak Kumar Mahanta
Journal: The Journal of Analysis
Year: 2025

Degenerate Schrödinger-Kirchhoff (p,N)-Laplacian problem with singular Trudinger-Moser nonlinearity in ℝ^N
Author: Deepak Kumar Mahanta; Tuhina Mukherjee; Abhishek Sarkar
Journal: Forum Mathematicum
Year: 2024

Conclusion

Deepak Kumar Mahanta exemplifies a blend of academic excellence, research innovation, and teaching competence. His educational foundation, research contributions, and professional activities underscore his dedication to advancing mathematical sciences. By engaging in rigorous studies, producing impactful publications, and participating in academic events, he continues to enhance his expertise and contribute to the global research community. His achievements in both theoretical and applied mathematics position him as a promising scholar with the capability to address complex mathematical challenges, inspire students, and foster academic growth. His career trajectory reflects a commitment to knowledge, collaboration, and scholarly excellence.

KANIKA | Mathematics | Best Researcher Award

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Dr. KANIKA | Mathematics | Best Researcher Award

Shoolini University of Biotechnology and Management Sciences- India

Author Profile

Early Academic Pursuits

Kanika Dhawan embarked on her academic journey with a strong foundation in Mathematics. Beginning with her Bachelor’s degree from Government Arya Degree College, Nurpur, Kanika consistently excelled, laying the groundwork for her future academic endeavors. She pursued a Master’s degree in Mathematics from Himachal Pradesh University, where her passion for mathematical research began to flourish. This led her to complete an M.Phil. in Mathematics and subsequently, a Ph.D. at the National Institute of Technology, Hamirpur, focusing on the existence and stability of solutions for fractional differential equations.

Professional Endeavors

As an Assistant Professor at Yognanada School of AI, Computer and Data Science, Shoolini University, Solan, Kanika Dhawan combines her research expertise with a commitment to teaching excellence. Her career objective underscores her dedication to contributing significantly to her field through continuous learning and impactful teaching methodologies.

Contributions and Research Focus

Kanika’s research primarily revolves around fractional differential equations and fixed point theory. Her notable contributions include publications in esteemed journals such as Qualitative Theory of Dynamics Systems and Bulletin des Sciences Mathematiques. These publications explore various aspects of fractional differential equations, demonstrating Kanika’s proficiency in theoretical analysis and mathematical modeling.

Accolades and Recognition

Kanika Dhawan’s academic prowess has been recognized through several accolades. Notably, she achieved a high rank in the Graduate Aptitude Test in Engineering (GATE) in Mathematical Sciences and has qualified the State Eligibility Test (SET) in Mathematical Sciences. Her research has been published in SCI and SCOPUS indexed journals, highlighting her impact in the mathematical community.

Impact and Influence

Through her research, Kanika has contributed significantly to advancing the understanding of fractional differential equations and their applications. Her work on stability, boundary value problems, and qualitative analysis has broad implications across various scientific and engineering disciplines, impacting both theoretical frameworks and practical implementations.

Legacy and Future Contributions

Looking ahead, Kanika Dhawan aims to continue her research trajectory, further exploring the complexities of fractional calculus and its interdisciplinary applications. Her future contributions are expected to deepen our understanding of mathematical theories and enhance their practical relevance in real-world scenarios.Kanika Dhawan’s journey exemplifies a dedication to academic excellence and a profound commitment to advancing mathematical research and education. Her interdisciplinary approach and rigorous methodologies promise continued innovation and impact in the field of mathematics.

Citations

A total of 44 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations         44
  • h-index           8
  • i10-index        5

Notable Publications 

Qualitative analysis of coupled fractional differential equations involving Hilfer derivative

K Dhawan, RK Vats, RP Agarwal
Analele ştiinţifice ale Universităţii” Ovidius” Constanţa. Seria Matematică …
Approximate controllability of delay nonautonomous integro‐differential system with impulses

A Kumar, RK Vats, K Dhawan, A Kumar
Mathematical Methods in the Applied Sciences
Analysis of neutral fractional differential equation via the method of upper and lower solution

K Dhawan, RK Vats, V Vijayakumar
Qualitative theory of dynamical systems
Well-posedness and Ulam-Hyers stability of Hilfer fractional differential equations of order (1, 2] with nonlocal boundary conditions

K Dhawan, RK Vats, AK Nain, A Shukla
Bulletin des Sciences Mathématiques
Well-posedness of a nonlinear Hilfer fractional derivative model for the Antarctic circumpolar current

HM Srivastava, K Dhawan, RK Vats, AK Nain
Zeitschrift für angewandte Mathematik und Physik
Analyzing Single and Multi-valued Nonlinear Caputo Two-Term Fractional Differential Equation With Integral Boundary Conditions

RK Vats, K Dhawan, V Vijayakumar
Qualitative Theory of Dynamical Systems

Derya Yildirim Sucu | Mathematics | Best Researcher Award

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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.