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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🎓 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.

👨‍💼 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.

🔬 Research Interests

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

  • 🌀 Quantum Fluid Mechanics Equations
  • 🧲 Magnetic Fluid Equations
  • 🧠 Landau-Lifshitz Equations
  • 🔢 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.

🏆 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.

📚 Publications Top Notes: 

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. 🔗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. 🔗Link – Cited by 8 articles.

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

“Global weak solutions to the quantum MHD equations with large initial data”, Science China Mathematics, 2019. 🔗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 ℝ

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

Vinita Dwivedi | Mathematics | Young Scientist Award

Ms. Vinita Dwivedi | Mathematics | Young Scientist Award

Research Scholar Dr harisingh gour vishwavidhalaya India

Vinita Dwivedi is a passionate research scholar specializing in inventory models, supply chain management, and mathematical epidemic modeling. Currently pursuing her Ph.D. at Dr. Harisingh Gour Central University, Sagar, M.P., she has made notable contributions in applied mathematics through her research on pharmaceutical inventory and disease control strategies.

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🎓 Education

  • Ph.D. (Pursuing): Strategic Decision-Makings in Healthcare: A Mathematical Framework for Pharmaceutical Inventory and Diseases Control, Dr. Harisingh Gour Central University, Sagar.
  • M.Sc. in Mathematics (94.8%): Indira Gandhi National Tribal University, Amarkantak, M.P., 2019 (Gold Medalist).
  • B.Sc. in Mathematics, Physics, Chemistry (64.3%): APS University, Rewa, 2017.
  • 12th Grade (70%): G.S.C.S., Shahdol, 2014.
  • 10th Grade (68%): G.S.C.S., Shahdol, 2012.

💼 Experience

  • Assistant Professor: Department of Engineering Mathematics, Laxmi Narain College of Technology, Bhopal (August 2019–December 2021), with over 2 years and 5 months of teaching experience.

🔬 Research Interests

  • Inventory Models 📦
  • Supply Chain Management 🚛
  • Mathematical Epidemic Models 🧬

🏆 Awards

  1. Young Scientist Award (2024): Vigyan Parishad of India for Applied Mathematics.
  2. Gold Medal (2019): M.Sc. topper, IGNTU, Amarkantak.
  3. Third Position (2024): Best Paper Presentation in an interdisciplinary conference at Swami Vivekanand University, Sagar.
  4. First Position (2023): Best Paper Presentation on SIQRS model, Dr. Harisingh Gour University, Sagar.
  5. Organizer Recognition (2024): National Mathematics Day Celebration and Vedic Mathematics Celebration.

📚 Publications Top Notes: 

An Optimal Sustainable Production Policy for Imperfect Production System with Stochastic Demand, Price, and Machine Failure with FRW Policy Under Carbon Emission

Optimal control of rotavirus infection in breastfed and non-breastfed children

Efficiency of managing a stochastic inventory system in a declining market for non-instantaneous deteriorating items under partial backlogs

Optimizing healthcare supply chains strategically: analyzing the impact of COVID-19 on pharmaceutical inventory costs through the integration of evidence theory and hybrid …

Interval-valued optimal control strategies for vaccine distribution and infection awareness investment in preservation technology

Analyzing the impact of sustainability on EPQ model: Investigating price and sustainability level dependent demand using center-radius optimization techniques with …

Enhancing pharmaceutical supply Chains in health crises: Integrating fuzzy logic and particle swarm optimization