Welcome to my homepage! 👋
I am a fifth-year Ph.D. Candidate in Industrial Engineering at Purdue University, working with Prof. Hua Cai in the uSMART group. My advisory committee includes Prof. Stephan Biller, Prof. Young-Jun Son, Prof. Reem Khir, and Prof. Yi Ding.
Previously, I earned my MS (2021) in Industrial Engineering from Purdue University advised by Prof. Hua Cai; and I obtained my BE (2019) in Electronic and Information Engineering from Beihang University advised by Prof. Xiaoqian Sun and Prof. Sebastian Wandelt. I also worked with Dr. Massimiliano Zanin as an undergraduate researcher at Polytechnic University of Madrid from 02/2019 to 05/2019.
My research interest focuses on fusing AI/ML and operations research (OR) to tackle planning and operational challenges and to advance sustainability in urban mobility and logistics systems. During my PhD study, I have gained full-lifecycle experience in both Generative AI and Machine Learning system design and deployment, spanning shared mobility rebalancing, resilient network design, automatic life-cycle assessment, and intelligent tutoring systems.
🔥 News
- 08/2025: Our paper “Enhanced global oil spill dataset from 1967 to 2023 based on text-form incident information” has been published online in Scientific Data.
- 06/2025: I joined Amazon as an applied scientist intern in NYC🗽.
- 05/2025: I will attend IISE annual conference 2025 and present three works.
- 04/2025: I received an $800 Graduate Research Grant from Purdue’s Institute for a Sustainable Future (ISF) to support my research on assessing AI models’ carbon footprint.
- 10/2024: I am honored to have been selected as a 2024–2025 IISE Future Faculty Fellow. I am fortunate to be paired with Prof. Uday Venkatadri as my mentor!
- 08/2024: I attend NSF Workshop on Sustainable Computng held at Purdue on Aug 20-21
- 10/2023: I received 2023-2024 Lee A. Chaden Fellowship in Industrial Engineering at Purdue.
- 09/2023: Purdue Today featured our story on Arthur, an AI-powered teaching assistant tool designed to support engineering education.
- 08/2023: I will be lecturing IE343 Engineering Economics with ~150 undergraduate students. Looking forward to the new semester!
💻 Internships
- 06/2025 - 09/2025, Amazon.com, Applied Scientist Intern, New York, NY.
- Global Transportation Services, hosted by Dr. Golnush Amoli & Hana Ku
- Developed Amazon’s next-generation AI-driven tools to advance resilient and dynamic transportation network design.
- Led the full lifecycle from conceptualization, multi-source data analysis, large-scale simulation, AI model training, and minimum viable product delivery.
- In preparation for publication in an internal conference and repository
📝 Publications
Deep Residual Learning for Image Recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun
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- Lorem ipsum dolor sit amet, consectetur adipiscing elit. Vivamus ornare aliquet ipsum, ac tempus justo dapibus sit amet, A, B, C, CVPR 2020
🎖 Honors and Awards
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📚 Teaching and Mentorship
- Graduate Lecturer, Purdue IE 343: Engineering Economics, Fall 2023 (150 students)
- Guest Lecturer, Purdue EEE 560: Environmental Data Science, Fall 2024
- Teaching Assistant, Purdue IE 343: Engineering Economics, Fall 2021 - Fall 2025 (10 sessions in total)
- Teaching Assistant, Purdue IE 590/EEE 595: Urban Mobility Optimization, Spring 2024
Services
💬 Invited Talks
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- 2021.03, Lorem ipsum dolor sit amet, consectetur adipiscing elit. Vivamus ornare aliquet ipsum, ac tempus justo dapibus sit amet. | [video]