Fangxia Zhao | Computational Methods | Best Researcher Award

Mrs. Fangxia Zhao | Computational Methods | Best Researcher Award

Associate Professor at Capital University of Economics and Business, China

👨‍🎓 Profiles

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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

 

 

Suhai Masda | Computational Methods | Best Researcher Award

Assist Prof Dr. Suhai Masda | Computational Methods | Best Researcher Award 

Assist Prof at Mahrah University, Yemen

Suhail Gumaan Saad Masda is an esteemed Yemeni astrophysicist currently serving as the Vice President for Higher Studies and Scientific Research at Mahrah University, Yemen. Born on January 1, 1983, in Al-Mahrah, Yemen, Dr. Masda has pursued a career in academia and research with a specialization in astrophysics, focusing on the study of stellar systems. His significant contributions to astrophysical research, particularly in the spectroscopic and photometric solutions for close binary stars, have garnered him international recognition. He has actively participated in various scientific conferences, contributing to both local and international research communities. Dr. Masda has received multiple awards for his scientific achievements, including being honored as a young scientist in 2020. In addition to his academic work, he has been an editor and referee for high-ranking astrophysics journals.

Profile:

Education:

Suhail Masda holds a Ph.D. in Physics (Astrophysics) from Dr. Babasaheb Ambedkar Marathwada University in India (2017–2021), where he focused on spectroscopic and photometric analyses of young close binary stars. His dissertation titled “Spectroscopic and Photometric Solutions for Young Close Binary Stars Using Atmospheric Modelling” reflects his expertise in this specialized field. Prior to his Ph.D., he earned a Master of Science (M.Sc.) degree in Physics (Astrophysics) from Yarmouk University, Jordan (2009–2012), with a thesis on the physical and geometrical elements of the visual close binary system HIP 689. He also holds a Bachelor of Science (B.Sc.) in Physics from Yarmouk University (2004–2008), complemented by a diploma in Computer Information Systems (2006–2008). His education was supported by scholarships from Yemen’s Ministry of Higher Education.

Professional experience:

Dr. Suhail Masda has held multiple academic and administrative positions throughout his career. Since April 2023, he has been the Vice President for Higher Studies and Scientific Research at Mahrah University, Yemen. Before that, he served as the Head of the Physics Department at Hadhramout University (2021–2023), where he was also an Assistant Professor of Physics since 2021. His earlier academic roles include a full-time lecturer at Hadhramout University from 2013 to 2015 and a part-time lecturer at Yarmouk University in 2012–2013. Dr. Masda has taught a wide range of physics courses, including Quantum Mechanics, Modern Physics, Thermodynamics, and Mathematical Physics. His leadership extends beyond the classroom, having served as an editor for multiple scientific journals and as a referee for high-impact publications in the fields of astrophysics and astronomy.

Research focus:

Dr. Suhail Masda’s research focuses on the astrophysical study of multi-star systems, particularly close binary, triple, and quadruple star systems. His expertise lies in spectroscopic and photometric analyses, where he investigates the physical and geometrical properties of these stellar systems, along with their formation and evolution. He is proficient in developing synthetic models to understand the orbital motions and mass distribution within these systems. His recent work has centered on using atmospheric modeling to derive precise stellar parameters, including modified masses and parallaxes of visual binary stars. Dr. Masda’s research is not only pivotal to understanding the dynamics of young close binary stars but also contributes significantly to the broader field of space sciences. His efforts to improve the accuracy of orbital and physical parameters of stellar systems have positioned him as an influential researcher in the field of astrophysics.

Awards and Honors:

Dr. Suhail Masda has received several prestigious awards for his contributions to astrophysical research. In 2020, he was honored with the “Young Scientist Award” at the 10th International Science Awards on Engineering, Science, and Medicine in Hyderabad, India. In recognition of his groundbreaking research, he was also awarded the Shield of Outstanding Researcher from Hadhramout University in 2022. Additionally, his Ph.D. dissertation was nominated for the Best Ph.D. Dissertation Award among Arabic world universities in 2022. Dr. Masda is an active member of various professional organizations, including the Supreme Council of the Arab Union for Space and Astronomy and the VDGOOD Professional Association. His commitment to advancing space sciences has earned him a reputation as one of Yemen’s leading astrophysicists, with a focus on the spectroscopic and photometric properties of stellar systems.

Publication Top Notes:

  • Title: Speckle interferometric binary system HD375; Is it a sub-giant binary?
    Authors: MA Al-Wardat, YY Balega, VV Leushin, NA Yusuf, AA Taani, KS Al-Waqfi, …
    Publication Year: 2014
    Citations: 29
  • Title: YETI observations of the young transiting planet candidate CVSO 30 b
    Authors: S Raetz, TOB Schmidt, S Czesla, T Klocová, L Holmes, R Errmann, …
    Publication Year: 2016
    Citations: 28
  • Title: Physical and dynamical parameters of the triple stellar system: HIP 109951
    Authors: SG Masda, JA Docobo, AM Hussein, MK Mardini, HA Al-Ameryeen, …
    Publication Year: 2019
    Citations: 24
  • Title: Physical and geometrical parameters of the binary system gliese 150.2
    Authors: MA Al-Wardat, YY Balega, VV Leushin, RY Zuchkov, RM Abujbha, …
    Publication Year: 2014
    Citations: 23
  • Title: Physical and geometrical parameters of CVBS XI: Cou 1511 (HIP 12552)
    Authors: MA Al-Wardat, MH El-Mahameed, NA Yusuf, AM Khasawneh, SG Masda
    Publication Year: 2016
    Citations: 18
  • Title: Physical and geometrical parameters of CVBS X: the spectroscopic binary Gliese 762.1
    Authors: SG Masda, MA Al-Wardat, R Neuhäuser, HM Al-Naimiy
    Publication Year: 2016
    Citations: 15
  • Title: Orbital and physical parameters of the close binary system GJ 9830 (HIP 116259)
    Authors: SG Masda, MA Al-Wardat, JM Pathan
    Publication Year: 2019
    Citations: 11
  • Title: Physical and geometrical parameters of VCBS XIII: HIP 105947
    Authors: SG Masda, MA Al-Wardat, JKMK Pathan
    Publication Year: 2018
    Citations: 11
  • Title: Stellar parameters of the two binary systems: HIP 14075 and HIP 14230
    Authors: SG Masda, MA Al-Wardat, JM Pathan
    Publication Year: 2018
    Citations: 10
  • Title: Modified orbital parameters, masses and parallaxes for the two close binary stars HD 200325 and HD 220077
    Authors: S Masda, M Al-Wardat
    Publication Year: 2023
    Citations: 5

Conclusion:

Dr. Suhail Masda’s remarkable academic journey, international recognition, leadership roles, and robust research contributions make him a strong candidate for the Best Researcher Award. His work in the field of astrophysics, particularly on binary star systems, is both innovative and influential, advancing our understanding of complex stellar formations. Furthering his collaborations and outreach efforts will bolster his standing as an esteemed researcher in the scientific community.