Welcome to Tenglong’s Homepage
About Me
Hello! My name is Tenglong Hong, and I am a first-year Ph.D. student in Transportation Engineering at the University of California, Los Angeles. I am very fortunate to be advised by Prof. Youngseo Kim. My research designs efficient data-driven decision-making methods for agents operating under uncertainty in complex, interconnected transportation and logistics systems. I also work closely with Prof. Paul Grigas at University of California, Berkeley IEOR on decision-focused learning and optimization algorithms for problems in machine learning and operations research. Previously, during my undergraduate studies, I had the opportunity to collaborate with Prof. Yu Zhang and Prof. Daniel Zhuoyu Long on distributionally robust optimization.
Research Interests
- Data-driven decision-making under uncertainty
- Contextual optimization and decision-focused machine learning
- Scalable optimization algorithms
- Transportation and logistics systems
Ongoing Research
My current research develops along two complementary directions.
1. Transportation and Logistics Systems
Learning Behavioral Parameters of Network Equilibrium Models from Aggregate Mobility Data. Tenglong Hong, Youngseo Kim. 2026.
Traveler Choice-Aware Transit Line Planning with Service–Fare Coordination. Tenglong Hong, J. Carlos Martínez Mori, Youngseo Kim. Manuscript in preparation, 2026.
2. Decision-Focused Learning and Scalable Optimization Algorithms
- A Barrier-Metric First-Order Method for Linearly Constrained Bilevel Optimization. Tenglong Hong, Paul Grigas. 2026.
Education
- Ph.D. in Transportation Engineering, University of California, Los Angeles · 2026 –
- M.S. in Operations Research, University of California, Berkeley · 2024 – 2025
- B.S. in Operations Management, University of Delaware · 2020 – 2024
- B.S. in Operations Management, Southwestern University of Finance and Economics · 2020 – 2024 (Dual Degree)