Ran An | Transportation Engineering | Best Scholar Award

Ms. Ran An | Transportation Engineering | Best Scholar Award

Beijing Jiaotong University | China

Ms. Ran An is a promising researcher and graduate scholar in economics at Beijing Jiaotong University, specializing in transport economics, urban and regional economics, and transport engineering. With strong academic performance and research-oriented training, the candidate has contributed to 3 scholarly publications with a growing research impact reflected by 5 citations across 5 documents and an h-index of 1. Professional experience includes active involvement as a research assistant in transportation accessibility and spatial economic projects, applying advanced econometric and data-driven methodologies, along with teaching support in development economics. The research focus centers on high-speed rail, spatial dynamics, and infrastructure-driven economic development, contributing to policy-relevant insights. The candidate has been recognized with multiple academic scholarships, national-level honors, and competition awards, demonstrating excellence, leadership, and a strong commitment to advancing research in transport and regional economics.

                              Citation Metrics (Scopus)

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Featured Publications

Renyu Wang | Transportation Engineering | Research Excellence Award

Ms. Renyu Wang | Transportation Engineering | Research Excellence Award

Beijing Jiaotong University | China

Ms. Wang Renyu is a researcher at Beijing Jiaotong University, Beijing, China, specializing in electrical power systems, intelligent monitoring, and data-driven modeling for railway and traction applications. His research focuses on online adaptive evolution algorithms, multi-scale periodic update strategies, and temperature estimation models for traction transformers, addressing critical challenges in equipment safety and operational reliability. He has authored 10 scholarly publications indexed in Scopus, with 43 citations and an h-index of 4, reflecting growing academic impact. Wang has collaborated with 14 co-authors, indicating active engagement in team-based and interdisciplinary research. His recent open-access article in the International Journal of Electrical Power and Energy Systems highlights his contribution to adaptive, real-time estimation methods relevant to smart railways and modern power infrastructures. Through applied research aligned with intelligent transportation systems, his work supports predictive maintenance, energy efficiency, and the safe operation of electrified rail networks, contributing to sustainable and resilient transportation development worldwide.

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Featured Publications

Jiqiang Li | Transportation Engineering | Research Excellence Award

Dr. Jiqiang Li | Transportation Engineering | Research Excellence Award

Assistant Researcher | Dalian Maritime University | China

Dr. Jiqiang Li is an active researcher whose scholarly work focuses on advanced control theory, autonomous systems, and intelligent guidance and navigation of unmanned vehicles, particularly unmanned surface vehicles (USVs) and autonomous marine systems. Their research emphasizes robust and adaptive control, event-triggered mechanisms, fault-tolerant control strategies, cooperative control of multi-agent systems, and intelligent navigation under uncertain and disturbance-prone environments. Through rigorous theoretical development combined with simulation and application-oriented validation, their contributions have advanced the reliability, efficiency, and safety of autonomous and networked control systems. Jiqiang Li has authored 74 peer-reviewed research documents, which collectively have received 1,402 citations, reflecting sustained academic impact and recognition within the control systems and robotics research community. With an h-index of 20, their body of work demonstrates both productivity and influence, particularly in areas related to marine vehicle control, distributed coordination, and adaptive guidance laws. Their publications appear in reputable international journals and conference proceedings, contributing to the ongoing development of intelligent autonomous systems and modern control methodologies.

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Featured Publications

Rasha Al-Huthaifi – Transportation – Best Researcher Award

Rasha Al-Huthaifi - Transportation - Best Researcher Award

Southwest Jiaotong University - China

AUTHOR PROFILE

GOOGLE SCHOLAR

RASHA AL-HUTHAIFI: INNOVATIVE RESEARCHER IN MACHINE LEARNING AND CYBERSECURITY 🌟

EDUCATION AND EARLY CAREER JOURNEY 🎓

Rasha Al-Huthaifi is a dedicated researcher and educator with a robust background in computer science and engineering. She earned her Bachelor's degree from Sanaa University, where she excelled in teaching Object Oriented Programming using C#. Her academic journey continued with a Master's degree, focusing on enhancing antivirus security systems through innovative memory on-access scanner technologies. This groundbreaking work led to publications in prestigious journals and conferences, including the International Conference on Computer Science, Computer Engineering and Education Technologies.

EXPERTISE IN MACHINE LEARNING AND CYBERSECURITY 🔍

Rasha's expertise spans across a wide range of technologies and methodologies essential for modern cybersecurity and machine learning applications. Her proficiency includes Python programming, federated learning, and the development of secure traffic flow prediction systems using graph-based models. She has also contributed significantly to projects in data mining, bioinformatics, and information retrieval, demonstrating a versatile skill set in tackling complex technological challenges.

SIGNIFICANT PROJECT CONTRIBUTIONS 🚀

Throughout her career, Rasha has spearheaded numerous impactful projects. These include the development of FedAGAT and FedGODE systems for real-time traffic flow prediction in smart cities, leveraging federated learning and graph-based models to ensure privacy and efficiency. Her contributions extend to cybersecurity innovations such as antivirus enhancements and anti-copying software, addressing critical security vulnerabilities in software applications.

ACADEMIC AND PROFESSIONAL ENGAGEMENTS 💼

Rasha's professional journey includes roles as a PhD student at Southwest Jiaotong University, where she continues to contribute to cutting-edge research initiatives. Previously, she served as a Teacher Assistant at Jordan University of Science and Technology, imparting her knowledge in programming labs and mentoring students in computer science fundamentals.

RESEARCH IMPACT AND PUBLICATIONS 📚

Rasha's research has been published in reputable journals and conferences, highlighting her dedication to advancing the field of cybersecurity and machine learning. Her work on automatic Arabic multi-document summarizers and glaucoma disease detection algorithms reflects her commitment to leveraging technology for societal benefit and healthcare advancements.

AWARDS AND RECOGNITIONS 🏆

Rasha's academic achievements include the distinction of having the best graduation project in her Bachelor's program, showcasing her innovative spirit and academic excellence. Her contributions to cybersecurity and machine learning have earned her recognition within the academic community, underscoring her leadership and impact in the field.

FUTURE DIRECTIONS AND INNOVATIONS 🌐

Looking ahead, Rasha remains committed to pushing the boundaries of cybersecurity and machine learning research. Her future endeavors aim to integrate emerging technologies and methodologies to address global cybersecurity challenges and enhance the efficiency of machine learning applications in various domains.

NOTABLE PUBLICATION

Authors: Rasha Al-Huthaifi, Tianrui Li, Zaid Al-Huda, Chongshou Li
Publication date: 2024/5/1
Journal: Information Sciences
Publisher: Elsevier
Authors: Rasha Al-Huthaifi, Tianrui Li, Zaid Al-Huda, Wei Huang, Zhipeng Luo, Peng Xie
Publication date: 2024/6/10
Journal: Knowledge-Based Systems
Publisher: Elsevier
Authors: Rasha Al-Huthaifi, Tianrui Li, Wei Huang, Jin Gu, Chongshou Li
Publication date: 2023/6/1
Source: Information Sciences
Publisher: Elsevier.
Authors: Muneer Bani Yassein, Shadi Aljawarneh, Rasha K Al-huthaifi
Publication date: 2017/8/21
Conference: 2017 International Conference on Engineering and Technology (ICET)
Publisher: IEEE