George Economides | Digital Twins | Best Researcher Award

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Dr. George Economides | Digital Twins | Best Researcher Award

Head of Digital Twins | Department for Transport | United Kingdom

Dr. George Economides MChem EMBA FCIHT FRSA MCMI MIET is an accomplished professional recognized for his leadership in digital transformation, artificial intelligence, and sustainable transport innovation. As Head of Digital Twins at the UK Department for Transport, he leads national strategies that integrate digital twin systems, AI, and data-driven technologies into transport policy and infrastructure planning. His expertise spans intelligent mobility, systems thinking, and ethical AI, with impactful contributions to digital twin governance, smart infrastructure, and resilience modeling. Dr. Economides’s work bridges science, technology, and policy, positioning him as a key figure in advancing data-centric decision-making and digital innovation within public institutions. His research is featured in leading journals including Buildings, Building and Environment, and Sustainability, reflecting his focus on digital twin applications and sustainable mobility frameworks. A frequent keynote speaker at international forums and an active member of multiple academic and industry boards, he contributes to shaping standards and policies in emerging technologies. He has received several honors, including the TaaS Future Mobility Champion of the Year Award and the Josef Pliva Award for scientific excellence, underscoring his influence in both academic and policy circles. His professional fellowships and memberships further highlight his commitment to innovation, collaboration, and ethical leadership in digital engineering and intelligent transport systems. He has 1 citation, 2 publications, and an H-index of 1.

Profile: Scopus

Featured Publications

1. Economides G., A quantum state metanalysis of the dynamic inconsistency effect. Quantum Behav. Econ. Conf. Proc., 2025, Accepted.

Dr. George Economides’s work drives the integration of digital twins and artificial intelligence into national transport systems, advancing data-driven policymaking and sustainable infrastructure development. His leadership bridges science, technology, and governance, fostering global innovation in resilient, ethical, and intelligent mobility solutions.

Dongmin Kim | E-Mobility | Best Researcher Award

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Dr. Dongmin Kim | E-Mobility | Best Researcher Award

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

Dr. Dongmin Kim is a Post-doctoral Researcher at the Mechanical Engineering Research Institute, Korea Advanced Institute of Science and Technology (KAIST), specializing in electric vehicles, energy consumption modeling, and intelligent transportation systems. He earned his Ph.D. and M.S. from the Cho Chun Shik Graduate School of Mobility at KAIST, focusing on electric vehicle battery internal resistance degradation and driving energy efficiency, and holds a B.S. in Electrical and Electronics Engineering from Chung-Ang University. Dr. Kim has led and contributed to multiple projects on battery-in-the-loop systems, cooperative-intelligent transport systems, and real-world data-driven modeling of electric vehicle efficiency. His research outputs include high-impact publications in leading journals such as Applied Energy, eTransportation, and IEEE Transactions on Intelligent Transportation Systems, alongside numerous conference papers and domestic journal contributions. He has also advanced the field through patents on battery management and charging systems and invited presentations at international academic and industrial forums. Recognized for excellence, he has received awards such as the Best Paper Award from the Korean Institute of Intelligent Transport Systems, the KITS President’s Award, and the Grand Award in the Start-up Idea Competition at KAIST. Additionally, he has completed professional certifications in battery systems, eco-friendly vehicle technologies, and AI-based energy solutions, and has actively contributed as a member of Korea’s intelligent transportation research community. Dr. Kim’s distinguished record of innovation, research leadership, and academic excellence positions him as a transformative contributor to the advancement of sustainable mobility and intelligent transportation systems, with a current record of 2 citations across 4 publications and an h-index of 1.

Profiles: Scopus | ORCID | Google Scholar

Featured Publication

1. Kim D., Lee H., Lee J., Unsupervised learning approach for risky driving behavior identification on expressways in C-ITS environments. IEEE Trans. Intell. Transp. Syst., 2025, 10.1109/TITS.2025.3538929.

2. Kim D., Yun G., Jang K., Woo S., Auxiliary energy consumption of electric vehicles: Modeling and prediction using real-world vehicle data. Appl. Energy, 2025, 10.1016/j.apenergy.2025.126766.

3. Kim D., Jang K., Component-level analysis for developing an energy consumption model for battery electric vehicles (BEVs) in operation. eTransportation, 2025, 10.1016/j.etran.2025.100472.