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.

Dilbag Singh | Mathematics | Best Researcher Award

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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

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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

Nagaraju Gajjela | Mathematics | Best Researcher Award

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Dr. Nagaraju Gajjela | Mathematics | Best Researcher Award

SR University, India

Author Profile

ORCID

🎓 EARLY ACADEMIC PURSUITS

  • Bachelor of Science (B.Sc.) in Mathematics, Physics, and Chemistry from University Arts & Science College, Hanamkonda, affiliated with Kakatiya University (2002).

  • Master of Science (M.Sc.) in Applied Mathematics from the National Institute of Technology (NIT), Warangal (2004).

  • Doctor of Philosophy (Ph.D.) in Mathematics from NIT Warangal (2010).

🏢 PROFESSIONAL ENDEAVORS

Dr. Gajjela has amassed over 18 years of teaching and research experience across various esteemed institutions:

  • SR University, Warangal: Assistant Professor in the Department of Computer Science and Engineering (AI & ML) since September 2022.

  • Vaagdevi College of Engineering, Warangal: Assistant Professor (March 2022 – September 2022).

  • Amity University, Tashkent, Uzbekistan: Associate Professor (September 2021 – January 2022).

  • ICFAI University, Hyderabad: Assistant Professor (October 2020 – August 2021).

  • Lebanese French University, Erbil, Iraq: Assistant Professor (September 2018 – July 2020).

  • GITAM University, Hyderabad: Assistant Professor (June 2010 – June 2019).

  • NIT Warangal: Research Scholar and Teaching Assistant (January 2007 – April 2010).

  • SR Engineering College, Warangal: Assistant Professor (September 2004 – December 2006).

📚 CONTRIBUTIONS AND RESEARCH FOCUS ON MATHEMATICS

Dr. Gajjela’s research primarily revolves around Fluid Dynamics, with specific interests in:

  • Magnetohydrodynamics (MHD)

  • Non-Newtonian Fluids

  • Heat and Mass Transfer

  • Flow Dynamics around Cylindrical Structures

🏅 ACADEMIC CITES, ACCOLADES AND RECOGNITION

According to the AD Scientific Index:

  • Publications: 22

  • Citations: 576

  • World Ranking: #650,072 in Natural Sciences – Mathematical Sciences

  • Institutional Affiliation: IBS Hyderabad

Note: While the index lists “G Nagaraju” affiliated with IBS Hyderabad, the alignment with Dr. Nagaraju Gajjela should be verified for accuracy.

🌍 IMPACT AND INFLUENCE

Dr. Gajjela’s work has significantly contributed to the understanding of complex fluid behaviors, especially in the context of MHD and non-Newtonian fluids. His research findings are instrumental in various engineering applications, including thermal management systems and industrial fluid processes.

🧭 LEGACY AND FUTURE CONTRIBUTIONS

Dr. Gajjela’s extensive teaching experience across multiple countries and institutions underscores his commitment to mathematics education and research. His work in fluid dynamics continues to inspire and pave the way for future research in the field.

 ✅CONCLUSION

Dr. Nagaraju Gajjela stands out as a dedicated mathematician and educator, with a rich background in fluid dynamics and a passion for teaching. His contributions have not only advanced academic understanding but also have practical implications in engineering and applied sciences.

 🔬NOTABLE PUBLICATION:

Title: Impact on induced magnetic field over a second-grade hybrid nanofluid in unsteady thermal systems
Authors: Dr. Nagaraju Gajjela et al.
Journal: Case Studies in Thermal Engineering
Year: 2025

Title: Regression analysis of thermophysical effects in Casson nanofluid flow: Entropy generation, magnetic induction, and mixed convection in an inclined geometry
Authors: Dr. Nagaraju Gajjela et al.
Journal: International Journal of Thermofluids
Year: 2025

Title: Entropy-optimized flow of couple stresses in a porous inclined pipe with uniform magnetic field and mixed convection
Authors: Dr. Nagaraju Gajjela et al.
Journal: Physica Scripta
Year: 2024

Title: MHD Maxwell dusty fluid in thermally stratified radiative flow with temperature-dependent thermal conductivity and Cattaneo-Christov model
Authors: Dr. Nagaraju Gajjela et al.
Journal: Heliyon
Year: 2024

Title: Heat transfer in couple stress two-fluid flow model: Effects of modified heat flux, electromagnetic force, and uneven heat source/sink
Authors: Dr. Nagaraju Gajjela et al.
Journal: Computational Thermal Sciences
Year: 2023

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.