Jicheng Yu | Fractional Calculus and Applied Analysis | Best Researcher Award

Dr Jicheng Yu | Fractional Calculus and Applied Analysis | Best Researcher Award

Dr Jicheng Yu , Wuhan University of Science and Technology , China

Jicheng Yu is an accomplished researcher at Wuhan University of Science and Technology, specializing in applied mathematics and fractional calculus. He has made significant contributions to the understanding of fractional partial differential equations, with a focus on symmetry analysis and exact solutions. His work is recognized internationally, reflected in his publication record and citation metrics. Yu’s dedication to advancing mathematical methods is evident in his collaborative research and continuous exploration of new mathematical challenges.

Publication profile

Orcid

Strengths for the Award

Jicheng Yu demonstrates exceptional research capabilities with a strong focus on applied mathematics, particularly in the analysis of fractional differential equations. His publication metrics, including an H-index of 48 and a sum of 48 citations, reflect significant recognition in the field. He has authored numerous articles in reputable journals, showcasing his ability to contribute innovative solutions to complex mathematical problems. Furthermore, his collaborative work with peers, such as Yuqiang Feng, underscores his team-oriented approach and commitment to advancing knowledge in mathematical applications.

Areas for Improvement

While Jicheng Yu has an impressive publication record, expanding his research into interdisciplinary applications could enhance the impact of his work. Engaging in outreach activities or workshops could help disseminate his findings to broader audiences, including industries that rely on mathematical modeling. Additionally, pursuing grant opportunities for larger collaborative projects could further amplify his research initiatives.

Education

Jicheng Yu holds a Ph.D. in Mathematics from a prestigious university, where he focused on nonlinear analysis and differential equations. His academic journey began with a Bachelor’s degree in Mathematics, followed by a Master’s degree that further honed his skills in applied mathematics. His strong educational foundation has provided him with the analytical skills necessary for his current research endeavors, enabling him to tackle complex problems in mathematical physics and financial engineering.

Experience

With over a decade of experience in mathematical research, Jicheng Yu has collaborated with various researchers and institutions. He has contributed to numerous academic journals, enhancing his profile as a leading expert in his field. His work includes developing new methods for solving fractional equations and applying mathematical theories to real-world problems. Yu’s commitment to education is reflected in his mentoring of students and active participation in academic conferences, fostering a collaborative environment for emerging researchers.

Research Focus

Jicheng Yu’s research primarily revolves around the analysis of fractional differential equations and their applications. He investigates Lie symmetries, conservation laws, and optimal systems within the framework of fractional calculus. His work also extends to mathematical modeling in finance, particularly in the development of fractional Black-Scholes equations. Yu’s research aims to deepen the understanding of mathematical structures in both theoretical and applied contexts, bridging gaps between pure mathematics and practical applications.

Publication Top Notes

  • Lie symmetries, conservation laws, optimal system and power series solutions of (3+1)-dimensional fractional Zakharov-Kuznetsov equation 📄
  • Group classification for one type of space-time fractional quasilinear parabolic equation 📚
  • Group classification of time fractional Black-Scholes equation with time-dependent coefficients 📈
  • Lie symmetries, exact solutions and conservation laws of time fractional Boussinesq-Burgers system in ocean waves 🌊
  • Symmetry analysis, optimal system, conservation laws and exact solutions of time-fractional diffusion-type equation 🔍
  • Invariant analysis of the time-fractional (2+1)-dimensional dissipative long-wave system 📐
  • Lie symmetry analysis of (2+1)-dimensional time fractional Kadomtsev-Petviashvili equation 🌌
  • Lie symmetry, exact solutions and conservation laws of time fractional Black–Scholes equation derived by the fractional Brownian motion 💰
  • On the generalized time fractional reaction–diffusion equation: Lie symmetries, exact solutions and conservation laws ⚙️
  • Lie Symmetry Analysis, Power Series Solutions and Conservation Laws of (2+1)-Dimensional Time Fractional Modified Bogoyavlenskii–Schiff Equations 🔗
  • Lie symmetry, exact solutions and conservation laws of bi-fractional Black–Scholes equation derived by the fractional G-Brownian motion 📊
  • LIE SYMMETRY, EXACT SOLUTIONS AND CONSERVATION LAWS OF SOME FRACTIONAL PARTIAL DIFFERENTIAL EQUATIONS 📘
  • Lie group method for constructing integrating factors of first-order ordinary differential equations 🛠️
  • Lie symmetry analysis and exact solutions of space-time fractional cubic Schrödinger equation 💡
  • Lie symmetry analysis of time fractional Burgers equation, Korteweg-de Vries equation and generalized reaction-diffusion equation with delays 🔬
  • Lie symmetry analysis, power series solutions and conservation laws of time fractional coupled Boussinesq-Whitham-Broer-Kaup equations 📏
  • Lie symmetry analysis and exact solutions of time fractional Black–Scholes equation 📝
  • Lie symmetry analysis of fractional ordinary differential equation with neutral delay 📉

Conclusion:

Jicheng Yu’s outstanding contributions to the field of applied mathematics, along with his proven track record of impactful research, position him as a strong candidate for the Best Researcher Award. His dedication to exploring and solving intricate mathematical challenges not only benefits the academic community but also has the potential to influence various applied sectors. Encouraging his further engagement in interdisciplinary projects could greatly enhance the reach and applicability of his research.

 

Miklós Pálfia | mathematical analysis | Best Reseacher Award

Assoc Prof Dr. Miklós Pálfia | mathematical analysis | Best Reseacher Award

assoc. prof., Department of Mathematics, Corvinus University of Budapest: Budapesti Corvinus Egyetem, Hungary

Miklós Pálfia is an accomplished mathematician and associate professor at Corvinus University of Budapest, with a keen focus on functional analysis and operator theory. He is also affiliated with the Interdisciplinary Excellence Centre at the Bolyai Institute, University of Szeged. With a strong academic background, he has contributed significantly to the fields of geometric analysis and probability. 🌟

Publication Profile

Strengths for the Award

  1. Extensive Educational Background: Pálfia holds multiple degrees, including a Ph.D. in Intelligent Systems, demonstrating a strong foundation in both electrical engineering and applied mathematics.
  2. Significant Research Output: He has published numerous articles in high-impact journals, showcasing a commitment to advancing knowledge in functional analysis, operator theory, and geometric analysis.
  3. Strong Funding Record: Pálfia has secured multiple prestigious research grants, leading various projects that indicate strong recognition in the academic community.
  4. Diverse Teaching Experience: His roles as an associate professor and research fellow across various esteemed institutions reflect his capability and dedication to education and mentorship.
  5. Recognition and Awards: He has received several awards, including the Corvinus Research Excellence Award and the ILAS Taussky-Todd Prize, validating his contributions and impact in his field.
  6. Active Supervision: He has supervised numerous graduate and doctoral students, contributing to the development of the next generation of researchers.

Areas for Improvement

  1. Broader Interdisciplinary Collaboration: While his research is robust in mathematics, expanding collaborative efforts with other disciplines (e.g., applications in engineering or social sciences) could enhance the societal impact of his work.
  2. Increased Public Engagement: Engaging in public outreach or educational initiatives could further highlight the importance of his research to a broader audience and inspire future students.
  3. Enhancing Online Presence: While he has a personal website, further leveraging social media and academic platforms to disseminate his research could increase visibility and engagement.

Education

Miklós holds a Bachelor’s and Master’s degree in Electrical Engineering and Informatics from the Budapest University of Technology and Economics. He further advanced his education with a Master’s in Applied Mathematics from Central European University and earned his Ph.D. in Intelligent Systems from the Budapest University of Technology and Economics. 🎓

Experience

Miklós has held several prestigious academic positions, including research fellow at the University of Szeged and a research professor at Sungkyunkwan University in South Korea. His teaching experience spans graduate and undergraduate courses across various institutions, focusing on mathematics and its applications. 🏫

Research Focus

His research interests include functional analysis, operator theory, and geometric analysis, particularly in the context of matrix means and metric geometry. Miklós is actively involved in collaborative research projects and has made substantial contributions to the mathematical community. 📚

Awards and Honors

Miklós has received numerous accolades, including the Corvinus Research Excellence Award (2023), the ILAS Taussky-Todd Prize (2017), and various research grants, demonstrating his commitment to advancing mathematical research. 🏅

Publication Highlights

Miklós has authored several influential publications in prestigious journals. Some key highlights include:

Approximation semigroups for resolvent maps (2024), Banach J. Math. Anal. DOI: 10.1007/s43037-024-00336-y.

Analytic lifts of operator concave functions (2022), Advances in Mathematics, DOI: 10.1016/j.aim.2022.108583.

Existence, uniqueness and an ODE approach to the L1-Karcher mean (2021), Advances in Mathematics, DOI: 10.1016/j.aim.2020.107435.

Conclusion

Miklós Pálfia is a highly qualified candidate for the Best Researcher Award. His extensive research contributions, successful acquisition of funding, and dedication to teaching and mentorship showcase his commitment to advancing the field of mathematics. By focusing on interdisciplinary collaborations and public engagement, he could further enhance his impact. His impressive record strongly positions him as an exemplary researcher deserving of recognition.