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.

Sarishti Singh | Mathematics | Best Researcher Award

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Dr. Sarishti Singh | Mathematics | Best Researcher Award

Indian Institute of Technology Kharagpur | India

Dr. Sarishti Singh is a researcher in Mathematics at the Indian Institute of Technology Kharagpur, specializing in interval analysis and matrix theory. Her work focuses on understanding uncertainty in real-world computational models by developing analytical tools for interval matrices, generalized eigenvalue problems, singular value decomposition enclosures, and sensitivity behavior in portfolio optimization models. She has contributed to several international, peer-reviewed journals in applied mathematics and computational sciences, with her research gaining a steady academic impact. According to Google Scholar, she has 14 citations, an h-index of 2, and 2 indexed documents, reflecting growing recognition in her research domain. She completed her Bachelor’s and Master’s degrees in Mathematics from Panjab University before pursuing a doctoral research program at IIT Kharagpur under experienced academic guidance. During her doctoral period, she served as a Teaching Assistant and gained experience mentoring students in mathematics coursework. She has also been awarded prestigious competitive national fellowships supporting her research progress. Additionally, she has presented her findings at international conferences and contributes to scholarly reviewing activities. Her ongoing work continues to extend interval analytical techniques to optimization and linear algebraic systems, aiming to support more robust computational modeling and decision-making under uncertainty.

Profile: Google Scholar

Featured Publications

Singh, S., & Panda, G. (2023). Generalized eigenvalue problem for interval matrices. Archiv der Mathematik, 121(3), 267–278.

Singh, S., & Panda, G. (2024). SVD enclosure of a class of interval matrices. Information Sciences, 666, 120386.

Singh, S., & Panda, G. (2025). Eigenvalue bounds and Perron-Frobenius theory for nonnegative or positive interval matrices. Applied Mathematics and Computation, 495, 129329.

Singh, S., & Panda, G. (2025). Bounding the solution set of overdetermined system of interval linear equations. Bulletin of the Iranian Mathematical Society, 51(2), 23.

Singh, S., & Panda, G. (2025). On the sensitivity of some portfolio optimization models using interval analysis. OPSEARCH, 62(1), 77–103.

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

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.

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.

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

Rupchand Sutradhar | Mathematics | Young Scientist Award

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Dr. Rupchand Sutradhar | Mathematics | Young Scientist Award

Indian Institute of Technology Kanpur, India

Author Profile

GOOGLE SCHOLAR

ORCID

🎓 EARLY ACADEMIC PURSUITS

Dr. Rupchand Sutradhar began his academic journey in West Bengal, completing a B.Sc. in Mathematics with a strong academic record. He went on to pursue an M.Sc. in Applied Mathematics, achieving high distinction and building a solid foundation in applied mathematical modeling.

Continuing his pursuit of academic excellence, he joined the Indian Institute of Technology (IIT) Guwahati for a Ph.D. in Mathematics. Under the guidance of a faculty advisor, his research focused on mathematical biology, particularly the dynamics of hepatitis B virus (HBV) infection.

🏢 PROFESSIONAL ENDEAVORS

Dr. Sutradhar’s transition into postdoctoral research and executive roles reflects his trajectory of growth:

  • Project Executive Officer, IIT Kanpur (Feb 2025 – Apr 2025)

  • Senior Project Executive Officer, IIT Kanpur (May 2025 – Present)

Teaching Experience:

He has contributed significantly as a Teaching Assistant for foundational undergraduate and postgraduate courses such as:

  • Real Analysis

  • Linear Algebra

  • Complex Analysis

  • Numerics of PDEs

Also mentored students under the Peer Assistance Learning (PAL) program and taught on Coursera for B.Sc. in Data Science & AI.

📚 CONTRIBUTIONS AND RESEARCH FOCUS ON MATHEMATICS

Dr. Sutradhar’s research stands out in the interdisciplinary space of Mathematical Biology, with emphasis on:

  • HBV infection modeling

  • Fractional calculus

  • Wave propagation in infectious systems

  • Virology-informed neural networks

  • Capsid recycling and rcDNA dynamics

🧠 Technical Skills:
Proficient in Matlab, C, LaTeX, Mathematica, and computational modeling.

🌍 IMPACT AND INFLUENCE

His work bridges the domains of applied mathematics, virology, and computational science. By introducing new frameworks and numerical schemes, his models offer critical insights for therapeutic strategies against HBV, emphasizing capsid recycling and combination therapies.

As a reviewer for reputed journals such as:

  • The European Physical Journal Plus

  • Mathematical Biosciences

  • Exploration of Digestive Diseases

He is shaping academic discourse in his field.

🧭 LEGACY AND FUTURE CONTRIBUTIONS

Dr. Sutradhar is actively working on:

  • Triangular domain modeling to reflect liver morphology – a novel integration of biological structure into mathematical simulation.

  • AI-integrated epidemiological models, pushing the boundaries of traditional modeling.

His efforts are poised to inform policy, public health models, and pharmaceutical strategies for chronic infectious diseases.

 ✅CONCLUSION

Dr. Rupchand Sutradhar’s journey epitomizes the synergy of theoretical rigor and practical relevance. With deep engagement in mathematical modeling, he contributes meaningfully to the global scientific discourse on virology and disease dynamics. His blend of academic excellence, technical proficiency, and emerging leadership in applied mathematics positions him as a rising force in interdisciplinary research.

 🔬NOTABLE PUBLICATION:

  • Title: Fractional‐order models of hepatitis B virus infection with recycling effects of capsids
    Author(s): R. Sutradhar, D.C. Dalal
    Journal: Mathematical Methods in the Applied Sciences
    Year: 2023

  • Title: Cytoplasmic Recycling of rcDNA-containing Capsids Enhances HBV Infection
    Author(s): R. Sutradhar, D.C. Dalal
    Journal: Nonlinear Dynamics
    Year: 2024

  • Title: The Roles of Continuous and Discontinuous Proliferations on Hepatitis B Virus Infection
    Author(s): R. Sutradhar, D.C. Dalal
    Journal: Mathematical Biosciences
    Year: 2025

  • Title: On existence of traveling wave of an HBV infection dynamics model: A novel approach
    Author(s): R. Sutradhar, D.C. Dalal
    Journal: The European Physical Journal Plus
    Year: 2024

  • Title: Combination Therapy for Chronic Hepatitis B Using Capsid Recycling
    Author(s): R. Sutradhar, D.C. Dalal
    Journal: Proceedings of the 2nd International Conference on Nonlinear Dynamics and …
    Year: 2024

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.