Fangxia Zhao | Computational Methods | Best Researcher Award

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Mrs. Fangxia Zhao | Computational Methods | Best Researcher Award

Associate Professor at Capital University of Economics and Business, China

👨‍🎓 Profiles

Scopus

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Early Academic Pursuits 🎓

Dr. Fangxia Zhao embarked on her academic journey with a strong foundation in Transportation Engineering. Her advanced studies and research helped her gain a deep understanding of complex transportation networks and big data analytics. Over the years, she honed her expertise in the modeling of traffic systems, urban mobility, and data-driven optimization. Her academic pursuits, supported by several national-level projects, allowed her to make significant strides in theoretical research, laying the groundwork for her future professional achievements.

Professional Endeavors 💼

Dr. Zhao is currently an Associate Professor and Master’s Supervisor at the School of Management Engineering, where she also serves as the Head of the Department of Big Data. With years of academic leadership and research guidance, she has led cutting-edge projects funded by prestigious research bodies, including the Central University Research Fund and University Research Start-up Fund. Throughout her career, she has actively contributed to national and provincial research projects, consistently pushing the boundaries of transportation modeling and big data analytics.

Teaching Experience 👩‍🏫

Dr. Zhao is a dedicated educator, teaching courses such as:

  • Computer Network Technology and Applications
  • Data Structures
  • Principles and Applications of Databases
  • Python Programming Design
  • Green, Intelligent, and Shared Transportation

Her teaching focuses on equipping students with the skills needed to succeed in data science, network optimization, and smart transportation systems. She emphasizes hands-on learning and problem-solving, ensuring that her students are well-prepared for the challenges of modern transportation engineering.

Contributions and Research Focus 🔍

Dr. Zhao’s primary research interests include:

  • Complexity Modeling of Transportation Networks 🚗
  • Big Data Analysis in Transplantation 💉
  • Optimization of Urban Mobility 🏙️
  • Intelligent and Green Transportation 🌱

Her work has played a pivotal role in advancing transportation research, especially in the areas of electric vehicle behavior and network optimization. Through mathematical modeling, she has contributed to understanding how factors such as travel mode choice, vehicle scheduling, and urban road evolution influence the design of more efficient, sustainable, and intelligent transportation systems.

Academic Cites 📚

Dr. Zhao’s research has gained widespread recognition, particularly in the realms of transportation modeling and big data analytics. Her papers have been cited numerous times, including high-impact articles on the evolutionary dynamics of transportation networks, the role of electric vehicles, and the integration of bus services. Her work on the coevolution of population distribution and road networks has been particularly influential, establishing her as a key figure in the field of spatial economics and network theory.

Impact and Influence 🌟

Dr. Zhao’s influence in the academic community is reflected in her extensive publication record, including SCI-indexed papers in leading journals such as Physica A, Networks & Spatial Economics, and Plos One. With over 20 academic papers, she has made major contributions to the study of transportation networks, population distribution, and disaster prevention systems. Her research is widely cited, and her contributions are used by scholars and industry professionals to design smarter, more resilient transportation systems.

Technical Skills 💻

Dr. Zhao is a skilled data scientist, proficient in a variety of technical tools essential for big data analysis and computational modeling. Her expertise includes:

  • Python Programming 🐍
  • Database Management 🗄️
  • Network Design Optimization 🛠️
  • Data Visualization 📊
  • Algorithm Development ⚙️

These skills allow her to analyze complex datasets, develop robust optimization models, and design effective algorithms that improve transportation efficiency and sustainability. Additionally, her involvement in developing software like the School Bus Scheduling Solver and MaaS Systems highlights her technical prowess in real-world applications.

Invention Patents and Software Copyrights 💡

In addition to her research papers, Dr. Zhao holds a national invention patent for the Railway Disaster Prevention System and has developed two software copyrights:

  • School Bus Scheduling Solver
  • MaaS System Based on Knowledge Graphs

These patents and software showcase her ability to transform research ideas into practical solutions, driving innovation in the field of transportation safety and mobility services.Dr. Zhao’s legacy is marked by her pioneering work in the intersection of transportation, data science, and urban development, setting the stage for future breakthroughs in smart mobility and sustainable transportation systems.

Top Noted Publications

Multi-depot vehicle scheduling with multiple vehicle types on overlapped bus routes

  • Authors: Shang, H., Liu, Y., Wu, W., Zhao, F.
    Journal: Expert Systems with Applications, 2023

Role of electric vehicle driving behavior on optimal setting of wireless charging lane

  • Authors: Zhao, F., Shang, H., Cui, J.
    Journal: Physica A: Statistical Mechanics and Its Applications, 2023

Integration of conventional and customized bus services: An empirical study in Beijing

  • Authors: Shang, H., Chang, Y., Huang, H., Zhao, F.
    Journal: Physica A: Statistical Mechanics and Its Applications, 2022

Role of transportation network on population distribution evolution

  • Authors: Zhao, F.X., Shang, H.Y.
    Journal: Physica A: Statistical Mechanics and Its Applications, 2021

 

 

Muhammad Abubaker | Computational Methods | Best Researcher Award

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Mr. Muhammad Abubaker | Computational Methods | Best Researcher Award

PhD Scholar at Kyungpook National University, South Korea

Muhammad Abubaker is a dedicated researcher and Ph.D. candidate at Kyungpook National University (KNU), South Korea, specializing in computational fluid dynamics (CFD) and energy systems. His research primarily focuses on the Lattice Boltzmann Method (LBM) for simulating fluid dynamics, particularly in lithium-ion batteries, thermal management of electric vehicle (EV) batteries, and energy harvesting systems.

🎓Profile

🧑‍🎓 Early Academic Pursuits

Muhammad Abubaker’s academic journey has been marked by a strong foundation in Mechanical Engineering, starting with his undergraduate studies at Bahauddin Zakariya University, Multan, Pakistan, where he completed his B.Sc. in Mechanical Engineering. His early interest in thermal systems engineering was reflected in his M.Sc. at the University of Engineering and Technology, Taxila, where he researched the effect of vapor velocity on condensate retention on pin-fin tubes, a crucial study for improving heat transfer systems. His academic excellence during these years was recognized with multiple scholarships, including the MSc Scholarship from UET Taxila and later, the prestigious Ph.D. Kings Scholarship at Kyungpook National University, South Korea.

💼 Professional Endeavors

Abubaker’s professional journey includes a rich teaching career as a Lecturer at COMSATS University Islamabad, Sahiwal, Pakistan, where he taught courses on Thermodynamics, Fluid Mechanics, Power Plants, and Renewable Energy Technologies. His commitment to teaching excellence was reflected in his design of outcome-based education (OBE) courses, as well as his innovative hands-on approach to learning through semester projects on heat exchangers, power plant schematics, and aeroplane models. His contributions to curriculum design and ISO compliance further demonstrate his leadership within academia.

🧪 Contributions and Research Focus

Muhammad Abubaker’s primary research focus is in the development and application of Lattice Boltzmann Method (LBM) for simulating complex multicomponent fluid dynamics in various systems. His work on Li-ion battery wettability is groundbreaking, as it addresses key challenges in battery performance and safety. Through his innovative use of LBM, he has investigated the electrolyte wetting behavior in lithium-ion batteries, offering insights into optimizing battery designs for better performance and longevity.

Abubaker is also focused on thermal management of electric vehicle (EV) batteries—a crucial aspect of improving EV performance and energy efficiency. His research into thermal LBM in porous media and energy harvesting systems, such as solar panels and flexible structures, aims to push the boundaries of energy conversion and sustainability. His work on energy systems, particularly in solar energy technology and energy harvesters, is a testament to his commitment to advancing green energy solutions.

🌍 Impact and Influence

Abubaker’s research has had significant impact, particularly in the field of energy storage and battery technology, with implications for industries ranging from automotive to consumer electronics. His work on battery electrode-electrolyte interfaces is helping solve critical issues related to wettability and ion transport, thereby contributing to the development of more efficient and durable lithium-ion batteries.

📚 Academic Cites and Scholarly Contributions

Abubaker’s academic contributions are well-recognized in the scholarly community, as evidenced by his numerous journal publications in highly regarded peer-reviewed journals, such as Energy Reports, Thermal Science, and Applied Thermal Engineering. His Google Scholar Profile highlights the growing recognition of his work, with citations that underscore the relevance and impact of his research. Notable papers such as “Wetting Performance Analysis of Porosity Distribution in NMC111 Layered Electrodes in Li-Ion Batteries” and “Wetting Characteristics of Li-ion Battery Electrodes” have made significant strides in advancing battery technology and thermal management.

⚙️ Technical Skills

Abubaker is highly proficient in advanced computational techniques and tools essential for modern engineering and energy research. His technical skills in Lattice Boltzmann Method (LBM), COMSOL Multiphysics, Ansys, ICEM CFD, C++, and CUDA for parallel processing make him an expert in simulating and modeling complex systems. These skills are crucial for his work in energy harvesting, thermal systems, and fluid dynamics, particularly in the context of Li-ion battery performance, fluid-solid interaction, and energy conversion systems.

👨‍🏫 Teaching Experience and Mentorship

Abubaker’s academic career is not only defined by his research but also by his dedication to teaching and mentoring students. As a Lecturer, he developed and implemented Outcome-Based Education (OBE) courses, designed course assessments, and introduced hands-on project-based learning for students. His experience in mentoring final-year projects (including topics like PV panel cooling and ground-coupled heat exchangers) reflects his ability to guide students through complex engineering challenges.

🔮 Legacy and Future Contributions

Muhammad Abubaker is well on his way to leaving a lasting legacy in the fields of energy systems, thermal management, and computational fluid dynamics. His innovative use of Lattice Boltzmann Methods in energy storage and battery systems is paving the way for advancements in battery technology and electric vehicle efficiency.Looking ahead, his future contributions could play a pivotal role in addressing the global need for sustainable energy solutions. His ongoing work on energy harvesting and thermal systems optimization could lead to more efficient renewable energy technologies that are critical for a sustainable future.

📖Publication Top Notes

 

Jamil Abbas Haider | Computational Methods | Best Researcher Award

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Mr. Jamil Abbas Haider | Computational Methods | Best Researcher Award

Research assistant at Abdus Salam School of Mathematical Sciences, Government College University, Lahore, Pakistan.

Jamil Abbas Haider is a distinguished expert in Computational Fluid Dynamics (CFD) with a strong emphasis on integrating artificial intelligence into fluid simulations. Based in Lahore, Pakistan, he specializes in mechanical and biomedical applications, particularly focusing on blood flow dynamics, aerosol transmission, and heat transfer. Jamil is proficient in several programming languages, including C++ and Python, and is passionate about using CFD to address real-world challenges. His academic journey reflects a commitment to research and education, which has significantly impacted both his students and the broader scientific community.

Profile:

Education:

Jamil holds a Master of Science in Mathematics from COMSATS University Islamabad, where he excelled in courses on scientific computing, fluid dynamics, and numerical analysis, achieving a final grade of 3.75/4.00. He also earned an M.Sc. in Mathematics from Government College University Faisalabad, focusing on applied mathematics, with a thesis on thermodynamics and fluid mechanics. His educational background is further supported by a Bachelor of Science degree in Mathematics and Physics, where he built a strong foundation in calculus, differential equations, and physics principles.

Professional Experience:

Jamil has served as a Higher Education Assistant Researcher at the Abdus Salam School of Mathematical Sciences, where he pioneered research in CFD and applied mathematics, leading to publications in Q1 journals. Prior to this, he worked as a Research Scientist at Quaid-i-Azam University, developing innovative methods for solving complex partial differential equations. His experience also includes mentoring students and enhancing teaching strategies, which resulted in significant improvements in student performance. Jamil’s professional journey reflects a dedication to academic excellence and research innovation.

Research Focus:

Jamil’s research focuses on Computational Fluid Dynamics, particularly in turbulence modeling and fluid-structure interaction. He explores the integration of AI to enhance predictions related to blood flow dynamics and aerosol transmission. His work addresses complex challenges in heat transfer and multiphase flows, contributing valuable insights into both mechanical and biomedical applications. Jamil is committed to advancing the field through innovative methodologies and rigorous numerical analysis, ensuring his research has practical implications for real-world problems.

Awards and Honors:

Jamil’s contributions to academia and research have been recognized through various awards. He received a Laptop Award from the Government of Pakistan during his Master’s studies and was honored as the Best Researcher at the Abdus Salam School of Mathematical Sciences in 2024. His ability to publish in prestigious journals and his commitment to innovative teaching practices underscore his impact in the field of mathematics and fluid dynamics, highlighting his potential for future accolades.

Publication Top Notes:

  • Title: Dynamics of the Rabinowitsch fluid in a reduced form of elliptic duct using finite volume method
    Authors: J.A. Haider, S. Ahmad
    Publication Year: 2022
    Citations: 33
  • Title: The modified KdV equation for a nonlinear evolution problem with perturbation technique
    Authors: S. Asghar, J.A. Haider, N. Muhammad
    Publication Year: 2022
    Citations: 27
  • Title: Insight into the dynamics of the Rabinowitsch fluid through an elliptic duct: Peristalsis analysis
    Authors: S. Nadeem, J. Abbas Haider, S. Akhtar, A. Mohamed
    Publication Year: 2022
    Citations: 26
  • Title: Computation of thermal energy in a rectangular cavity with a heated top wall
    Authors: J.A. Haider, N. Muhammad
    Publication Year: 2022
    Citations: 22
  • Title: Numerical simulations of convective heat transfer of a viscous fluid inside a rectangular cavity with heated rotating obstacles
    Authors: S. Nadeem, J.A. Haider, S. Akhtar, S. Ali
    Publication Year: 2022
    Citations: 22
  • Title: Insight into the study of some nonlinear evolution problems: Applications based on Variation Iteration Method with Laplace
    Authors: J.U. Rahman, A. Mannan, M.E. Ghoneim, M.F. Yassen, J.A. Haider
    Publication Year: 2023
    Citations: 21
  • Title: Travelling wave solutions of the third-order KdV equation using Jacobi elliptic function method
    Authors: J.A. Haider, S. Asghar, S. Nadeem
    Publication Year: 2023
    Citations: 20
  • Title: Mathematical analysis of flow passing through a rectangular nozzle
    Authors: J.A. Haider, N. Muhammad
    Publication Year: 2022
    Citations: 20
  • Title: Insight into the study of natural convection heat transfer mechanisms in a square cavity via finite volume method
    Authors: J.A. Haider, N.A. Ahammad, M.N. Khan, K. Guedri, A.M. Galal
    Publication Year: 2023
    Citations: 18
  • Title: Insightful study of the characterization of the Cobalt oxide nanomaterials and hydrothermal synthesis
    Authors: M.Y. Raza, J.A. Haider, N.A. Ahammad, K. Guedri, A.M. Galal
    Publication Year: 2023
    Citations: 15