LIU YANG (劉洋)

Ph.D, Research Fellow

Department of Transdisciplinary Science and Engineering

School of Environment and Society

Institute of Science Tokyo, Japan

Education

2025/05 -- Now, Research Fellow, Institute of Science Tokyo

Maritime transportation, AI for maritime decarbonisation, vessel navigation and control.

2022/04 -- 2025/03, Ph.D. student, Tokyo Institute of Technology

Working on the transportation-related control policies during global pandemics using big data from transportation, pandemics, economics, etc. Applying operation research and reinforcement learning techniques to find optimal solution to balance pandemic control and economy recovery.

2020/04 -- 2022/03, Master's Degree of Engineering, Tohoku University

Applying various mathematic algorithms to solve the dynamic user equilibrium problem in the urban transportation system, realized through Python.

2012/09 -- 2016/06, Bachelor's Degree of Science of Engineering, Shanghai Jiao Tong University

Majored in industrial engineering and management. Graduated thesis realized the lean management in hospital operation using the AHP analysis.

Work Experience

2016/07 -- 2019/02, Manufacturing Engineer, Semiconductor Manufacturing (Shanghai) International Coporation

Project management in production cycle time improvement, reduced cycle time from 1.5 Dpl (day per layer) to 1.2 Dpl, reduced total inventory over 20%.

2019/02 -- 2019/08, Operation Engineer, Semiconductor Manufacturing South China Coporation

Played a vital role in the establishment of China's first fully automated semiconductor factory, contributing to the strategic planning and execution of the ETCH area, led the Real-Time Dispatch project for the automated production system.

Publication

Journal publications

Liu, Y., Hanaoka, S., & Sugishita, K. (2024). Decision-making of travel bubble implementation process using metapopulation model. Journal of the Air Transport Research Society, 100009.
Liu, Y.,Sugishita, K., & Hanaoka, S. (2024). Vaccination and transportation intervention strategies for effective pandemic control. Transport policy, 156, 126-137.

Under review

Liu, Y.,Sugishita, K., & Hanaoka, S. Global pandemic response: Policy insights from transportation management and vaccine-sharing strategies. Omega.

Conference proceedings

Liu, Y., Hanaoka, S. and Sugishita, K. (2025) Global pandemic response through vaccine sharing strategy and air transport management, Air Transport Research Society, Hong Kong, 2025.07.
Liu, Y. and Hanaoka, S. (2023) Travel bubble decision using metapopulation epidemic and mobility model, 土木計画学研究・講演集，Vol.68，2023.11.
Liu, Y., Hanaoka, S. and Sugishita, K. (2023) Decision-making of travel bubble implementation process using metapopulation model, Air Transport Research Society, Kobe, 2023.07.
Liu, Y. and Nagae, T. (2021) Dynamic user equilibrium in many-to-one corridor network with irregular ordered capacity patterns, 土木計画学研究・講演集，Vol.63，2021.06.
Xie, B., Miao, R., Liu, Y. & Su, H. Research on Fast Tool Change based on Man-machine Chart. DEStech Publications, Inc, 2015.
Hao, Q., Miao, R., Liu, Y., & Su, H Prevention of Excessive Quality and Application of a Quantitative Method in Its Prevention and Control Management. DEStech Publications, Inc, 2015.

Honors

Shanghai Jiao Tong University Advanced Individual/Outstanding Student. (2015)
Excellent Proposal Awards in Mitsubishi Idea Contest: Society System in the “New Normal” Era and Role of Transportation. (2020)
Scholarship from Aoba Foundation for the Promotion of Engineering. (2021)
Advaced human resource development fellowship scholarship. (2022 - 2025)
28th ATRS World Conference JTTRI best paper award. (2025)

Skills

Coding skills: Python (coded over 10,000 lines), R, SQL, Matlab
Report skills: academic writing, English and Chinese oral or writen presentations, etc.
Courses: operation research, logistics and supply chain, convex optimization, computer science, fundamentals of progressive artificial intelligence and data science, progressive applied artificial intelligence and data science.