Kaihong Zhao | Mathematics | Best Researcher Award

Taizhou University | China

Professor Kaihong Zhao is a distinguished mathematician whose academic journey reflects a deep commitment to advancing the field of mathematical sciences, particularly in differential equations and dynamical systems. Having earned his B.S., M.S., and Ph.D. degrees from Yunnan University in 1998, 2001, and 2010, respectively, he has built a strong foundation in both theoretical and applied mathematics. Currently serving as a Professor in the Department of Mathematics within the School of Electronic and Information Engineering at Taizhou University, Zhejiang Province, China, Professor Zhao has made notable contributions to the understanding of nonlinear phenomena and the mathematical modeling of dynamic processes. His research focuses on the analysis, stability, and control of complex systems governed by differential equations, with implications spanning engineering, physics, and information sciences. Over the years, he has published extensively in leading mathematical journals, demonstrating both depth and breadth in addressing fundamental and emerging problems in dynamical systems theory. In addition to his research accomplishments, Professor Zhao is dedicated to academic mentorship and the promotion of mathematical education, inspiring the next generation of scholars through his teaching and guidance. His professional engagements often involve collaborations across interdisciplinary fields, fostering the integration of mathematics into technological and scientific innovation. With a career characterized by scholarly rigor, intellectual curiosity, and academic leadership, Professor Zhao continues to play a pivotal role in advancing mathematical research and its applications to real-world challenges. His work not only contributes to the theoretical enrichment of mathematics but also to its practical deployment in solving complex dynamic and computational problems across diverse scientific domains.

Profile: Scoups | Orcid

Featured Publications

Lv, X., & Zhao, K. (2025). Study of stability and simulation for nonlinear (k, ψ)-fractional differential coupled Laplacian equations with multi-point mixed (k, ψ)-derivative and symmetric integral boundary conditions. Symmetry, 17(3), 472.

Lv, X., Zhao, K., & Xie, H. (2024). Ulam–Hyers stability and simulation of a delayed fractional differential equation with Riemann–Stieltjes integral boundary conditions and fractional impulses. Axioms, 13(10), 682.

Lv, X., Zhao, K., & Xie, H. (2024). Stability and numerical simulation of a nonlinear Hadamard fractional coupling Laplacian system with symmetric periodic boundary conditions. Symmetry, 16(6), 774.

Zhao, K., Liu, J., & Lv, X. (2024). A unified approach to solvability and stability of multipoint BVPs for Langevin and Sturm–Liouville equations with CH–fractional derivatives and impulses via coincidence theory. Fractal and Fractional, 8(2), 111.

Zhao, K. (2024). Study on the stability and its simulation algorithm of a nonlinear impulsive ABC-fractional coupled system with a Laplacian operator via F-contractive mapping. Advances in Continuous and Discrete Models, 2024(1), 3801

Atta Ullah | Mathematics | Best Researcher Award

Atta Ullah,Mathematical and Statistical Sciences, Institute of Autonomous System, Department of Fundamental and Applied Sciences, Universiti Teknologi PETRONAS, 32610, Seri Iskandar, Perak Darul Ridzuan, Malays,,Malaysia

Atta Ullah 🎓 is a dedicated PhD scholar in Applied Mathematics at Universiti Teknologi PETRONAS, Malaysia. Born on April 15, 1995, in Khyber Pakhtunkhwa, Pakistan, he excels in mathematical modeling, numerical analysis, and computational mathematics. His research focuses on real-world problem-solving, including mathematical biology and differential equations. With experience as a lecturer and research assistant, he actively contributes to academia. He has published extensively in reputed journals 📚 and serves as a reviewer for international journals. His goal is to advance applied mathematics and inspire future researchers. 🌟

Publication profile

scopus

Education

Atta Ullah holds a PhD in Applied Mathematics from Universiti Teknologi PETRONAS, Malaysia (ongoing). He earned his MS in Mathematics (Applied Mathematics) from the University of Science & Technology Bannu (2018-2020) with an outstanding CGPA of 4.0/4.0 (91.75%). His BS in Numerical Sciences (2013-2017) from the University of Peshawar focused on calculus, algebra, topology, and numerical analysis. He completed his F.Sc (2011-2013) from The City College of Arts and Science, Peshawar, scoring 75.09%, and S.S.C (2009-2011) from Govt. High School Matta Qilla, scoring 75.02%. Additionally, he obtained a Teaching Certificate from AIOU Islamabad with 70.2% marks (2016-2017). His academic excellence was recognized with the First Position Award in MPhil Applied Mathematics. 🏆

Experience

Atta Ullah has significant experience in research and teaching. Currently, he is a Research & Teaching Assistant at Universiti Teknologi PETRONAS, Malaysia, where he assists master’s students, teaches undergraduate mathematics, and conducts high-level research 📊. Previously, he worked as a Research Assistant & Visiting Lecturer (2018-2022) at the University of Science & Technology Bannu, Pakistan, where he guided students in applied mathematics and maintained research labs. He also served as a Mathematics Lecturer at Dreams College, Timergara, KPK, Pakistan, mentoring students and fostering a strong mathematical foundation. His research contributions include exploring mathematical models, numerical simulations, and optimization techniques. He is also a reviewer for esteemed journals. His passion for academia and dedication to research make him a valuable contributor to the field of applied mathematics. 🔬

Awards And Honors

Atta Ullah’s academic excellence has been recognized with First Position in MPhil Applied Mathematics 🏅. His research has been published in ISI & Scopus-indexed journals, receiving international recognition 📚. As a reviewer for reputed journals, he has contributed to maintaining high academic standards. He has also been honored for his exceptional teaching and research skills, guiding students in applied mathematics. His outstanding CGPA (4.0/4.0) in MS Mathematics reflects his dedication to academia. His commitment to mathematical modeling and computational analysis has led to multiple research publications in high-impact journals. He continues to strive for excellence, contributing to mathematical sciences and inspiring the next generation of researchers. 🌍

Research Focus

Atta Ullah’s research primarily focuses on mathematical modeling, applied and computational analysis, and real-world problem-solving. His expertise includes sensitivity analysis, numerical simulations, first-order non-linear ordinary differential equations, and mathematical biology. His work explores optimal control techniques for complex systems, including studies on marijuana consumption models, Brinkman-type nanofluids, and infectious disease modeling. He integrates applied mathematics with computational tools to enhance predictive accuracy and optimize system performance. His contributions extend to partial differential equations, hydrodynamics, and functional analysis. His research aims to provide data-driven solutions for scientific and engineering challenges. 🧮

Publications

📖 “Sensitivity analysis-based control strategies of a mathematical model for reducing marijuana smoking,” AIMS Bioengineering, Cited by: XX, Year: 2023.
📖 “Sensitivity Analysis-Based Validation of the Modified NERA Model for Improved Performance,” JARASET, Cited by: XX, Year: 2023.
📖 “Mathematical Model with Sensitivity Analysis and Control Strategies for Marijuana Consumption,” PDEAM, Cited by: XX, Year: 2024.
📖 “A mathematical model with control strategies for marijuana smoking prevention,” ERA, Cited by: XX, Year: 2024.
📖 “Comprehensive Validation: Enhancing the Modified NERAH Model via Rigorous Sensitivity Analysis,” JARASET, Cited by: XX, Year: 2024.
📖 “Analyzing the Dynamics of the NERAH Model via Optimal Control Technique,” Contemporary Mathematics, Cited by: XX, Year: 2024.
📖 “A Time-Fractional Model for Brinkman-Type Nanofluid with Variable Heat and Mass Transfer,” CIJCA, Cited by: XX, Year: 2022.
📖 “Exploring the Effectiveness of an Optimal Control Model for Marijuana Consumption,” Infectious Disease Modelling, Cited by: XX, Year: 2024.

Kaihong Zhao | Mathematics | Best Researcher Award

Kaihong Zhao | Mathematics | Best Researcher Award