Ramakrishna Nanduri | Mathematics | Best Researcher Award

Dr. Ramakrishna Nanduri | Mathematics | Best Researcher Award

Associate Professor Indian Institute of Technology Kharagpur India

Dr. Ramakrishna Nanduri is an esteemed mathematician specializing in Commutative Algebra and Combinatorial Commutative Algebra. Currently serving as an Associate Professor in the Department of Mathematics at the Indian Institute of Technology Kharagpur, he has made significant contributions to research and academia. His academic journey, spanning prestigious institutions in India and abroad, highlights his dedication to mathematical sciences.

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Education šŸŽ“

Dr. Nanduri earned his Ph.D. in Mathematics from the Indian Institute of Technology Madras in 2011, with a thesis on homological properties of fiber cones under the guidance of Prof. A. V. Jayanthan. He holds an M.Sc. in Pure Mathematics from Hyderabad Central University (2005) and a B.Sc. in Mathematics, Statistics, and Computer Science from SRR & CVR Govt. Degree College, Acharya Nagarjuna University (2003), where he was awarded a medal for securing the highest marks in Mathematics.

Experience šŸ’¼

With a rich background in academia and research, Dr. Nanduri has served in various esteemed positions:

  • Associate Professor, IIT Kharagpur (2022–Present)
  • Assistant Professor, IIT Kharagpur (2014–2022)
  • INdAM-COFUND Marie Curie Fellow, University of Genova, Italy (2012–2014)
  • Postdoctoral Fellow, The Institute of Mathematical Sciences, Chennai (2011–2012)
  • Senior and Junior Research Fellow, IIT Madras (2006–2011)

Research Interests šŸŒ

Dr. Nanduri’s research focuses on:

  • Commutative Algebra
  • Combinatorial Commutative Algebra His work explores algebraic structures, their properties, and applications in mathematical sciences.

Awards & Fellowships šŸ†

Recognized for his academic excellence, he has received several prestigious awards:

  • INdAM-COFUND Marie Curie Fellowship (2012–2014)
  • National Board of Higher Mathematics (NBHM) Postdoctoral Fellowship (2011)
  • Institute Postdoctoral Fellowship, IMSc, Chennai
  • CSIR JRF and SRF Fellowships (2006–2011)
  • National Eligibility Test (NET) Qualification (2005)
  • Mathematics First Medal (B.Sc.)
  • School Topper in X Standard (1998)

Publications Top Notes: šŸ“

Dr. Nanduri has an extensive list of publications in esteemed journals. Some of his recent works include:

Strongly robustness of toric ideals of weighted oriented graphs (Submitted, 2025) – View

On circuit binomials of toric ideals of weighted oriented graphs (Submitted, 2024) – View

The slope of the v-function and the Waldschmidt constant, Journal of Pure and Applied Algebra, 229(2), 2025 – View

Regularity of symbolic and ordinary powers of weighted oriented graphs, Communications in Algebra (2024) – View

Regularity of powers of edge ideals of Cohen-Macaulay weighted oriented forests, Journal of Algebraic Combinatorics, 58(3), 2023 – View

On regularity of symbolic Rees algebras and symbolic powers of vertex cover ideals of graphs, Proceedings of the American Mathematical Society, 150(5), 2022

Regularity of symbolic and ordinary powers of weighted oriented graphs and their upper bounds

Hilbert coefficients of Schubert varieties in Grassmannians

Upper bounds for the regularity of gap-free graphs in terms of minimal triangulation

Guangwu Wang | Mathematics | Best Researcher Award

Assoc. Prof. Dr. Guangwu Wang | Mathematics | Best Researcher Award

Teacher Guangzhou University China

Dr. Wang Guangwu is a passionate mathematician and researcher at the School of Mathematics and Information Science, Guangzhou University, where he has served since 2017. With a strong foundation in mathematical physics, Dr. Wang’s work revolves around partial differential equations, particularly those arising in quantum and magnetic fluid mechanics. He is recognized for his theoretical depth and problem-solving abilities, demonstrated through multiple peer-reviewed publications and successful national research projects. His dedication to advancing mathematical understanding makes him a standout nominee for academic recognition.

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šŸŽ“ Education

Dr. Wang Guangwu earned his Ph.D. in Basic Mathematics from the China Academy of Engineering Physics in July 2017. His doctoral research laid a solid groundwork in analytical methods for complex differential systems, particularly in the realm of mathematical physics. This rigorous training equipped him with the tools to address advanced equations in quantum and fluid dynamics, shaping his future academic path.

šŸ‘Øā€šŸ’¼ Experience

Since completing his doctoral studies in 2017, Dr. Wang has been a valued faculty member at Guangzhou University, contributing to both teaching and research within the School of Mathematics and Information Science. He has taken a leading role in research projects, collaborated with national scholars, and mentored students in advanced mathematical theory and applications. His independent and team-based contributions underscore his versatility and commitment to mathematical sciences.

šŸ”¬ Research Interests

Dr. Wang’s research is deeply rooted in the theory and applications of partial differential equations (PDEs). His primary interests include:

  • šŸŒ€ Quantum Fluid Mechanics Equations
  • 🧲 Magnetic Fluid Equations
  • 🧠 Landau-Lifshitz Equations
  • šŸ”¢ Other PDEs in mathematical physics

His work targets complex dynamic systems and mathematical modeling, contributing to a better theoretical understanding of physical phenomena in fluids and magnetism.

šŸ† Awards & Grants

Dr. Wang Guangwu was the Principal Investigator of a National Natural Science Foundation Youth Project, which he successfully led to completion. This competitive national-level grant is a testament to his research capabilities and innovation in mathematical physics. His continued efforts in mathematical modeling and differential systems make him a strong candidate for academic honors and awards.

šŸ“š Publications Top Notes:Ā 

Dr. Wang has authored over ten peer-reviewed articles in internationally recognized journals. His works focus on complex dynamics in PDEs, often cited for their originality and analytical depth. Some notable publications include:

“Global well-posedness of solutions to the 2D compressible quantum Navier–Stokes equations with damping”, Journal of Differential Equations, 2022. šŸ”—Link – Cited by 12 articles.

“Global existence and convergence of solutions to the quantum Navier–Stokes–Poisson equations”, Discrete and Continuous Dynamical Systems – Series B, 2021. šŸ”—Link – Cited by 8 articles.

“On the Cauchy problem for a compressible quantum magnetohydrodynamic model with damping”, Mathematical Methods in the Applied Sciences, 2020. šŸ”—Link – Cited by 6 articles.

“Global weak solutions to the quantum MHD equations with large initial data”, Science China Mathematics, 2019. šŸ”—Link – Cited by 10 articles.

Global weak solution to the degenerate quantum Navier‐Stokes‐Maxwell equations with damping term

A blowup criterion to the strong solution to the multi-dimensional Landau-Lifshitz-Gilbert equation

Global existence of smooth solutions for the incompressible Landau–Lifshitz–Gilbert flow with Dzyaloshinskii–Moriya interaction in two‐dimensional torus and ā„

existence and blow-up of the solutions to the viscous quantum magnetohydrodynamic nematic liquid crystal model

Existence and uniqueness of the weak solution to the incompressible Navier-Stokes-Landau-Lifshitz model in 2-dimension

Jianjun Jiao | Mathematics | Best Researcher Award

Prof. Dr. Jianjun Jiao | Mathematics | Best Researcher Award

Guizhou University of Finance and Economics China

Jian-Jun Jiao, Ph.D., is a distinguished Professor of Applied Mathematics at the School of Mathematics and Statistics, Guizhou University of Finance and Economics, China. With a robust academic career spanning over a decade, he has made significant contributions to differential equations and mathematical modeling in biological and ecological systems. His research, widely recognized in the academic community, has led to over 100 peer-reviewed publications and nearly 2000 citations.

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Education šŸŽ“

  • Ph.D. in Applied Mathematics – Dalian University of Technology, May 2008
  • M.S. in Fundamental Mathematics – Guangxi Normal University, June 2005
  • B.S. in Mathematical Education – Shaoyang University, July 1997

Professional Experience šŸŒ

  • Professor, School of Mathematics and Statistics, Guizhou University of Finance and Economics (2008–Present)
  • Research/Teaching Assistant, Guizhou University of Finance and Economics (2006–2008)
  • Postdoctoral Research Associate, Applied Mathematics, Huazhong University of Science and Technology (2009–2011)

Research Interests šŸ”¬

  • Theories of Differential Equations
  • Mathematical Modeling in Biology, Epidemics, and Ecology

Honors and Awards šŸ†

  • Communication Review Expert, National Science Foundation of China (2013–Present)
  • Senior Professional & Technical Title Evaluation Expert, Guizhou Province (2019–Present)
  • Provincial Management Expert, Guizhou Province (2019)
  • Core Expert, Guizhou Province (2021)

Publications Top Notes: šŸ“š

Jiao, J., Liu, Z., Cai, S. (2020). Dynamics of an SEIR model with infectivity in incubation period and homestead-isolation on the susceptible. Applied Mathematics Letters, 107, 106442. DOI

Jiao, J., Quan, Q., Dai, X. (2022). Dynamics of a new impulsive predator–prey model with predator population seasonally large-scale migration. Applied Mathematics Letters, 132, 108096. DOI

Jiao, J., Liu, Z., Li, L., Nie, X. (2019). Threshold dynamics of a stage-structured single population model with non-transient and transient impulsive effects. Applied Mathematics Letters, 97, 88-92. DOI

Jiao, J., Chen, L., Cai, S., Wang, L. (2010). Dynamics of a stage-structured predator–prey model with prey impulsively diffusing between two patches. Nonlinear Analysis: Real World Applications, 11, 2748-2756. DOI

Jiao, J., Cai, S., Chen, L. (2011). Analysis of a stage-structured predator-prey system with birth pulse and impulsive harvesting at different moments. Nonlinear Analysis: Real World Applications, 12, 2232-2244. DOI

Modelling and analysis of periodic impulsive releases of the Nilaparvata lugens infected with wStri-Wolbachia

Survival Analysis of a Predator–Prey Model with Seasonal Migration of Prey Populations between Breeding and Non-Breeding Regions

Survival analysis of a stochastic impulsive single-species population model with migration driven by environmental toxicant