[Lecture] Parallel computing applications in railway research
Speaker: Dr. Qing Wu, Research Fellow, Center for Railway Engineering, Central Queensland University, Australia
Time: 14:00, November 17, 2022, GMT+8
Venue: Tencent Meeting ID: 464 553 418
Abstract:
Parallel computing executes multiple tasks concurrently. Correct applications can significantly improve computing speeds and achieve co-simulations, so as to solve large scale and complicated computing tasks. This seminar will introduce typical parallel computing methods and their wide applications in railway research. These applications involve multi-objective optimizations, train dynamics, train–track coupled dynamics, train braking, wheel–rail contact, intelligent transportation, etc.
Biography:
Qing Wu (PhD, CPEng) earned his Bachelor, Master, and PhD (2016) degrees from School of Mechanical Engineering (SWJTU), State Key Laboratory of Traction Power (SWJTU), and Central Queensland University, respectively. His PhD thesis won two best-thesis awards from Railway Technical Society of Australasia and Centra Queensland University in 2017. In the same year, he organized the International Benchmarking of Longitudinal Train Dynamics Simulators. Dr Wu was awarded a Discovery Early Career Researcher Award from Australian Research Council in 2020. He is currently a Research Fellow and the Mechanical Discipline Leader at the Centre for Railway Engineering; an editorial board member for Journal of Traffic and Transportation Engineering and Railway Engineering Science. He has published 57 SCI-indexed journal articles and conducted 10 research projects which worth about 3 million Australian dollars.
