In press
2. Dynamic Bipartite Matching Markets with Stochastic Arrivals and Departures
Mathematics of Operations Research
Understanding when delayed matching helps and when immediate matching is nearly optimal in dynamic markets.
Research
My research focuses on Operations Management, particularly the mathematical modeling, analysis, and optimization of business operations, data-driven decision-making, and the theoretical and practical integration of artificial intelligence into business systems.
Selected Journal Publications
1. Pricing Policy and Queue-Length Disclosure in On-Demand Service Platforms
Transportation Research Part E: Logistics and Transportation Review · Volume 204, Article 104422
How dynamic pricing and queue-length information jointly affect platform profit and throughput.
Selected Proceedings
To appear
4. Parallelism or Concession? Concurrency-Aware Procurement Negotiation for Agentic Commerce
International Conference on Distributed Artificial Intelligence (DAI) · 8th edition · ACM
Jointly optimizing negotiation concurrency and price caps helps automated buyers balance procurement success, operating costs, and excess commitments.
3. A Learning-Based Hybrid Decision Framework for Matching Systems with User Departure Detection
International Conference on Human-Computer Interaction (HCII) · Human Interface and the Management of Information · LNCS 16706, 633–651 · Invited paper
Learning user departure patterns to balance matching efficiency, waiting time, and congestion.
2. Superiority of Instantaneous Decisions in Thin Dynamic Matching Markets
ACM Conference on Economics and Computation (EC) · 24th edition · p. 390
Why immediate matching can perform almost optimally in thin markets when users have guaranteed patience.
1. Dynamic Bipartite Matching Market with Arrivals and Departures
Conference on Web and Internet Economics (WINE) · 17th edition · p. 544
Analyzes when waiting improves matching outcomes in two-sided markets with random arrivals and departures.
Working Papers
4. Platform Information Design for On-Demand Service Platforms: A Queueing-Theoretic Approach
Minor revision at Naval Research Logistics
Uses queueing theory to identify when disclosing queue lengths improves platform revenue under different supply and demand conditions.
3. Huge-Scale Network Revenue Management with Customer Choice: A Parallel Primal-Dual Approach
Manuscript in preparation for submission
A parallel primal-dual algorithm scales choice-based revenue optimization to millions of customer choices while supporting inventory-aware decisions.
2. Pricing and Carbon Reduction in Supply Chains under Consumer Heterogeneity
Reject and resubmit at IEEE Transactions on Engineering Management
Examines pricing and carbon-reduction decisions in supply chains with heterogeneous consumers.
1. Superiority of Instantaneous Decisions in Thin Dynamic Matching Markets
Major revision (2nd round) at Journal of Economic Theory
Shows that immediate matching is nearly optimal in thin markets when participants are guaranteed to remain available for a minimum period.