Scholarship: Fully-funded
Degree: Bachelor, Master
Nationality: International Students
Location: Hong Kong
Application deadlines: Open
Scholarship Description:
Dr. Feng Siyuan is an assistant professor and PhD supervisor in the Department of Aviation and Transportation Engineering at Hong Kong Polytechnic University. He earned his PhD in Transportation Engineering from Hong Kong University of Science and Technology (under Professor Yang Hai), a Master’s in Systems Engineering from the University of California, Berkeley, and an undergraduate degree from Tongji University.
Dr. Feng has conducted research, study, and teaching at California Partners for Advanced Transit and Highways (PATH), JD Smart City Research Institute, and the Logistics and Maritime Studies Department at PolyU.
He has received significant research funding, including from the Hong Kong Research Grants Council and the Didi Gaia Scholar Research Fund. Dr. Feng has published over ten SCI/SSCI papers in prestigious journals such as Transportation Research Part C/E and IEEE Transactions on Intelligent Transportation Systems. He has been a finalist for the Young Scientist Award from the Hong Kong Science Association, received an honorary nomination for the HKSTS Outstanding PhD Thesis Award, and has earned various scholarships from the Hong Kong government. Additionally, he serves as a reviewer for top transportation journals. Dr. Feng is dedicated to student mentorship and is passionate about exploring cutting-edge topics in aviation and transportation science. For more information, visit his personal homepage: Dr. Feng Siyuan’s Profile.
Available Subjects:
- Optimization and management of air transportation systems
- Optimization and management of low-altitude transportation systems
- Applications of deep learning and reinforcement learning in transportation issues
Eligibility criteria:
- Candidates should hold a bachelor’s or master’s degree in aviation engineering, transportation engineering, computer science, mathematics, automation, or operations research, preferably from domestic 985 or 211 universities or renowned overseas institutions.
- Strong programming skills, excellent mathematical performance, and proficiency in English (both spoken and written) are required.
- Passion for interdisciplinary research in aviation and transportation sciences, a commitment to scientific research, and an innovative spirit are essential.
- Preference will be given to graduates from prestigious institutions, those ranked in the top 15% of their major, national scholarship recipients, or those with published SCI/SSCI papers.
- Applicants with backgrounds in machine learning, reinforcement learning, aviation management, low-altitude transportation, or shared mobility will be prioritized.
- Outstanding candidates will receive full support for applying to the Hong Kong PhD Fellowship. For details and deadlines, please refer to the Hong Kong Polytechnic University website.
Application Procedure:
If you are eager to explore the field of aviation and transportation, please contact Dr. Siyuan Feng at siyuan.feng@polyu.edu.hk. In your email, include your CV, undergraduate and master’s transcripts, English proficiency scores, publication details, and research interests. Be sure to include “PhD Application – Name – University” in the email subject line. We look forward to your application and embarking on this academic journey together!