Renyu Wang | Transportation Engineering | Research Excellence Award

Published on by Civil Engineering Awards

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.

Citation Metrics (Scopus)

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43

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Featured Publications

Jiqiang Li | Transportation Engineering | Research Excellence Award

Published on by Civil Engineering Awards

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

Dongmin Kim – Transportation Engineering – Best Researcher Award

Published on by Civil Engineering Awards

Dongmin Kim - Transportation Engineering - Best Researcher Award

Post-doctoral researcher | Korea Advanced Institute of Science and Technology | South Korea

Dongmin Kim’s research field focuses on advancing the efficiency, reliability, and sustainability of electric vehicles through a multidisciplinary approach that integrates energy modeling, traffic analysis, and intelligent systems. His work emphasizes electric vehicle energy consumption modeling, auxiliary energy consumption, and battery aging, with a particular interest in developing battery-in-the-loop systems that simulate real-world driving environments for more accurate performance testing. A key part of his research investigates internal resistance degradation in lithium-ion batteries, analyzing how driving characteristics influence long-term battery health. Kim also explores cooperative-intelligent transport systems (C-ITS) and probe vehicle data to study macroscopic traffic patterns and their impact on driving efficiency, highlighting the interaction between vehicle technology and traffic flow. He has contributed to the development of real-time energy consumption estimation models, predictive frameworks for auxiliary energy use, and risk detection methods in connected transport systems. His publications cover a range of topics, from linear mixed-effects models for energy prediction to unsupervised learning approaches for identifying risky driving behaviors, demonstrating his integration of data science with mobility research. Additionally, Kim’s work extends into simulation-based studies of driving efficiency indexes and traffic signal control strategies optimized for electric vehicles, showcasing his interest in bridging battery science with intelligent transportation. Through conference presentations, patents, and invited talks, he has shared advancements in battery state management, charging infrastructure systems, and simulation tools that connect vehicle behavior with traffic conditions. His research not only deepens the understanding of battery performance under dynamic environments but also proposes innovative solutions for enhancing energy efficiency, extending battery lifecycles, and improving safety in future electric mobility ecosystems. This comprehensive approach positions Dongmin Kim at the intersection of mechanical engineering, transportation systems, and sustainable mobility innovation.

Profile: ORCID | Research Gate
Featured Publications:

Kim, D., Lee, H., & Lee, J. (2025). Unsupervised learning approach for risky driving behavior identification on expressways in C-ITS environments. IEEE Transactions on Intelligent Transportation Systems. Advance online publication.

Kim, D., Yun, J., Jang, K., & Woo, S. (2025, December). Auxiliary energy consumption of electric vehicles: Modeling and prediction using real-world vehicle data. Applied Energy. Advance online publication.

Kim, D., & Jang, K. (2025, September). Component-level analysis for developing an energy consumption model for battery electric vehicles (BEVs) in operation. eTransportation. Advance online publication.

Dinh-Dung Nguyen – Intelligent Transportation Managent System – Best Researcher Award

Published on by Civil Engineering Awards

Dinh-Dung Nguyen - Intelligent Transportation Managent System - Best Researcher Award

Le Quy Don Technical University - Vietnam

AUTHOR PROFILE

SCOPUS

CURRENT AFFILIATION

Dinh-Dung Nguyen is a lecturer at the Faculty of Aerospace Engineering at Le Quy Don Technical University, Hanoi, Vietnam, where he has been employed since 2014.

EDUCATION

He obtained his Ph.D. in Transportation Engineering and Vehicle Engineering from the Budapest University of Technology and Economics, Hungary, in 2021.

RESEARCH INTERESTS

His research focuses on sustainable aviation, aerial vehicles, system design, control device integration of aircraft, transportation systems in smart cities, and urban planning and forecasting. He places particular emphasis on assessing environmental issues.

PUBLICATION METRICS

Nguyen has an H-index of 66 with a total of 7 publications in the Web of Science Core Collection. His work has been cited 18 times.

SELECTED PUBLICATIONS

His recent publications include studies on drone management systems in air traffic planning and improving the efficiency of angular velocity sensors on aircraft, contributing significantly to the field of aerospace engineering.

PROFESSIONAL SERVICE

He has been actively involved in several national and international studies and projects, highlighting his commitment to advancing knowledge and practice in aerospace engineering.

REVIEWER ACTIVITY

In addition to his research, Nguyen has reviewed numerous manuscripts across various journals, enhancing the quality of scientific literature in his field.

NOTABLE PUBLICATION

Title: Management and Regulation of Drone Operation in Urban Environment: A Case Study
Authors: Tran, T.-H., Nguyen, D.-D.
Journal: Social Sciences
Year: 2022

Title: An investigation of the Internet-based approach for drone management in a city environment
Authors: Nguyen, D.-D., Nguyen, H.H.
Conference: 2022 7th International Scientific Conference on Applying New Technology in Green Buildings, ATiGB
Year: 2022

Title: Autonomous flight trajectory control system for drones in smart city traffic management
Authors: Nguyen, D.D., Rohacs, J., Rohacs, D.
Journal: ISPRS International Journal of Geo-Information
Year: 2021

Title: Air Traffic Management of Drones Integrated into the Smart Cities
Authors: Nguyen, D.D., Rohacs, D.
Conference: 32nd Congress of the International Council of the Aeronautical Sciences, ICAS
Year: 2021

Title: Cloud-Based Drone Management System in Smart Cities
Authors: Nguyen, D.-D.
Book: Studies in Systems, Decision and Control
Year: 2021