In February 2026, the TRANS Research Group published a study on real-world battery health management in the Journal of Energy Storage. To address the complexity of battery packs, this work constructs a thermoelectric dynamic graph attention network that captures internal…
In January 2026, the TRANS Research Group published its latest study, “Cross-temporal framework for driving behavior impact on electric vehicle battery health”, in Communications in Transportation Research (IF: 14.5), a top-tier SCI Q1 journal in the transportation field indexed by…
In November 2025, the TRANS Research Group published its latest study, “Evolutionary Reinforcement Learning with Late-start Evolution and Clustering Archive,” in IEEE Transactions on Evolutionary Computation (IF: 12), a TOP-tier journal in evolutionary computation. This work introduces a new evolutionary…
In January 2026, the TRANS Research Group published its latest study, “Quantitative Modeling of China’s Commercial Vehicle Powertrain Transition Toward 2050: Market Penetration, Uncertainty, and Policy Impacts,” in the JCR Q1 journal Energy (Impact Factor: 9.4). This study develops the…
In December 2025, the TRANS Research Group’s latest study, “A data-driven and physics-based model for assessing real-world usage behavior impacts on electric vehicle battery life,” was published in the Q1 (JCR) energy journal Journal of Energy Storage (Impact Factor: 9.8). This…
The TRANS Lab recently organized a series of artificial intelligence outreach activities for young students at South China University of Technology (SCUT)’s affiliated kindergarten and elementary school in Guangzhou International Campus. Led by Professor Shiqi (Shawn) Ou, the activity team included…
Recently, the Department of Education of Guangdong Province unveiled the list of approved key scientific research platforms and projects for its higher education institutions. Among the selected initiatives is a key area project on Artificial Intelligence (Intelligent Robotics) awarded to…
A joint research initiative between South China University of Technology’s TRANS Lab and Saudi Aramco, in partnership with KAPSARC, has been selected by the United Nations as a “Good Practices in South-South and Triangular Cooperation for Sustainable Development.” The research “Artificial Intelligence…
On November 3, 2025, a delegation from Saudi Aramco visited the TRANS Research Group at the School of Future Technology, South China University of Technology, where both parties engaged in in-depth discussions on transportation energy strategy analysis, energy transition, and the…
A latest study from the Transportation Energy Modeling Comparison Research (EMF-37) organized by the Stanford University Energy Modeling Forum (EMF) indicates that the transportation sector plays a crucial role in achieving the U.S. 2050 nationwide net-zero emissions goal. Entitled Transportation…