Abdul Faiz Ansari | Computational Methods | Best Researcher Award

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Mr. Abdul Faiz Ansari | Computational Methods | Best Researcher Award

👨‍🎓 Profile

🎓 Early Academic Pursuits

Mr. Abdul Faiz Ansari’s journey in academia began with an exceptional foundation in mathematics, starting from his high school and intermediate education under the U.P. Board, India. He pursued a B.Sc. and M.Sc. in Mathematics at the University of Lucknow, achieving milestones in 2015 and 2017, respectively. His doctoral research, initiated in December 2020, revolves around the study of fluid flow through porous media a testament to his passion for unraveling mathematical complexities.

💼 Professional Endeavors

Currently serving as a Senior Research Fellow and doctoral candidate at the University of Lucknow, Abdul has gained experience in teaching undergraduate mathematics courses. His dedication is evident through his involvement in courses such as Mathematical Methods, Mechanics, and Differential Calculus. His NET and GATE qualifications, along with his JRF achievement in 2022, solidify his expertise in advanced mathematics.

🔬 Contributions and Research Focus

Abdul Faiz Ansari’s research focus primarily revolves around fluid mechanics and variational analysis. His dissertation delves into the Darcy-Brinkman models, studying anisotropic porous channels under external influences like magnetic fields and rotation. His work has produced a series of impactful publications, contributing to key journals such as the Journal of Porous Media and Journal of Computational and Theoretical Transport. His research not only deepens understanding of fluid behavior but also has significant applications in fields like hydrology, petroleum engineering, and environmental science.

🌟 Impact and Influence

Abdul Faiz Ansari’s research has contributed significantly to understanding Darcy-Brinkman models and anisotropic porous channels, impacting real-world applications. He has presented papers at international conferences, including those organized by institutions like NIT Tiruchirappalli and the University of Delhi, further establishing his presence in the academic community.

📚 Academic Citations

Abdul has co-authored numerous Scopus-indexed papers in areas such as MHD flows, Couette flows, and variational inequalities, contributing to advancements in both theoretical and applied mathematics. Notable publications include works on Darcy-Brinkman flow in rotating systems and the Cayley-Yosida inclusion problem. His research demonstrates a profound ability to bridge gaps between pure and applied mathematical disciplines.

🛠️ Technical Skills

Abdul is proficient in Mathematica, with over five years of experience, and MATLAB, with two years of expertise. He has been an avid user of LaTeX for document preparation for more than seven years, showcasing his technical prowess in mathematical computations and academic writing.

👨‍🏫 Teaching Experience

Abdul Faiz’s teaching experience showcases his ability to simplify complex concepts for students. As a teacher in Mathematical Methods, Mechanics, and other fundamental subjects, he has been responsible for helping students build a solid foundation in mathematics and physics. His ability to engage students in conceptual understanding has earned him praise, and his teaching contributions align well with his research expertise.

Top Noted Publications

Effect of Magnetic Field on Darcy-Brinkman Flow Through Rotating Porous Channel System
    • Authors: Vineet Kumar Verma, Abdul Faiz Ansari
    • Journal: Special Topics & Reviews in Porous Media: An International Journal
    • Year: 2024
Effect of Magnetic Field and Slip Conditions on Flow in a Rotating Porous Channel With Viscous Dissipation
    • Authors: Vineet Kumar Verma, Abdul Faiz Ansari
    • Journal: Heat Transfer
    • Year: 2024
Couette Flow of Micropolar Fluid in a Channel Filled with Anisotropic Porous Medium
    • Authors: Vineet Kumar Verma, Abdul Faiz Ansari
    • Journal: Archive of Mechanical Engineering
    • Year: 2024
Darcy-Brinkman Flow in an Anisotropic Rotating Porous Channel Under the Influence of Magnetic Field
    • Authors: Vineet Kumar Verma, Abdul Faiz Ansari
    • Journal: Journal of Porous Media
    • Year: 2024
Generalized Regularized Gap Functions and Error Bounds for Generalized Vector Variational-like Inequalities
    • Authors: Abdul Faiz Ansari
    • Journal: Applied Set-Valued Analysis and Optimization
    • Year: 2022

 

 

 

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

Orcid

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

 

 

Jie Li | Computational Methods | Best Researcher Award

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Assoc. Prof. Dr. Jie Li | Computational Methods | Best Researcher Award

Teacher at Chongqing University of Science and Technology, China

Li Jie is an accomplished doctor, associate professor, and master’s supervisor at Shanghai Jiaotong University, where he also serves as a postdoctoral fellow. As the deputy director of the 2011 Collaborative Innovation Center for Smart Security in Chongqing, he leads initiatives in smart neurosurgery and participates actively in various professional committees related to artificial intelligence and smart transportation. An Associate Editor for IEEE Transactions on Emerging Topics in Computational Intelligence, he has contributed significantly to international conferences.

Profile🎓

Early Academic Pursuits🌱

Li Jie began his academic journey with a strong focus on artificial intelligence and smart technologies, laying a solid foundation for his future endeavors. His time at Tsinghua University and later at the University of Rhode Island enriched his understanding and broadened his research perspectives, preparing him for a distinguished career in academia and industry.

Professional Endeavors 💼

As a postdoctoral fellow at Shanghai Jiaotong University, Li Jie has undertaken significant leadership roles, including serving as the deputy director of the 2011 Collaborative Innovation Center for Smart Security in Chongqing. His involvement with the Smart Neurosurgery Group and various professional committees reflects his commitment to advancing healthcare through innovative technology and collaboration.

Contributions and Research Focus 🔍

Li Jie’s research primarily centers on smart security and neurosurgery, where he utilizes artificial intelligence to enhance medical practices. He has hosted 16 funded projects and has published over 40 academic papers in high-impact journals, showcasing his dedication to contributing valuable knowledge to the field.

Impact and Influence 🌍

With a reputation as a thought leader, Li Jie has made significant contributions that have influenced both academia and industry. His role as an Associate Editor for IEEE Transactions on Emerging Topics in Computational Intelligence and participation in various international conferences underscore his influence in shaping research agendas and fostering collaborations.

Academic Citations 📚

Li Jie’s work is widely recognized, as evidenced by his 40 published papers and the acclaim received for his book, “Artificial Intelligence.” His research has garnered citations that highlight its relevance and impact, establishing him as a respected figure in his field.

Technical Skills ⚙️

Possessing a robust set of technical skills, Li Jie excels in areas such as computational intelligence, data analysis, and machine learning. His expertise in securing over 40 invention patents demonstrates his innovative approach and practical application of technology in research.

Teaching Experience 👨‍🏫

As a master’s supervisor and associate professor, Li Jie has mentored numerous students, instilling in them a passion for research and innovation. His teaching methods emphasize practical applications of theory, preparing students for successful careers in technology and science.

Legacy and Future Contributions 🔮

Li Jie’s legacy is marked by his commitment to advancing smart technologies in healthcare. Looking ahead, he aims to expand his research collaborations internationally and engage in interdisciplinary projects, furthering the impact of his work on society and technology. His vision for the future underscores a dedication to innovation that will shape the next generation of researchers and practitioners.

Publication Top Notes📖

Metric learning based multi-branch network for tongue manifestation recognition
  • Authors: Ren, S., Wu, R., Luo, Q., Wang, Y., Li, J.
    Publication Year: 2024
FASCNet: An Edge-Computational Defect Detection Model for Industrial Parts
  • Authors: Li, J., Wu, R., Zhang, S., Chen, Y., Dong, Z.
    Publication Year: 2024
Multi-scale attention-based lightweight network with dilated convolutions for infrared and visible image fusion
  • Authors: Li, F., Zhou, Y., Chen, Y., Dong, Z., Tan, M.
    Publication Year: 2024
A Mixed-Precision Transformer Accelerator With Vector Tiling Systolic Array for License Plate Recognition in Unconstrained Scenarios
  • Authors: Li, J., Yan, D., He, F., Dong, Z., Jiang, M.
    Publication Year: 2024
A novel medical text classification model with Kalman filter for clinical decision making
  • Authors: Li, J., Huang, Q., Ren, S., Deng, B., Qin, Y.

           Publication Year: 2023

 

Suhai Masda | Computational Methods | Best Researcher Award

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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.