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Publications

Optimization

Multiperiod Stock Allocation via Robust Optimization

with P.L. Jackson & J.A. Muckstadt (2019), Management Science, 65(2):794-818

Data-Driven

Data-driven Dynamic Pricing and Ordering with Perishable Inventory in a Changing Environment

with N.B. Keskin & J.-S. Song (2022), Management Science,

68(3): 1938-1958

– Special Issue on Data-driven Prescriptive Analytics

Dynamic Pricing

Data-driven Clustering and Feature-based Retail Electricity Pricing with

Smart Meters 

with N.B. Keskin & N. Sunar, forthcoming in Operations Research

– Winner, INFORMS Data Mining Best Paper Competition, 2020
– Spotlight Track, INFORMS 2021 RM&P Conference
– Winner, INFORMS Service Science Best Paper Competition, 2022

Working Papers

Sale Promotion

Customer-driven Bundle Promotion Optimization at Scale

with A. Fattahi & O. Sahin, under first-round revision at Management Science

Retail Demand

A Unified Parsimonious Model for Structural Demand Estimation Accounting for Stockout and Substitution

with Y. Deng & J.-S. Song, under first-round revision at Management Science

Environment and Consumers

Greening Ride-Hailing: Impact on Environment and Consumers

with N.B. Keskin & N. Sunar, under review at Management Science

Deep Learning

Deep Learning for Visual Advertising on Digital Platforms: Asymptotically Optimal Image Selection

with N.B. Keskin, S. Liu, & J.-S. Song, soon to be submitted to Management Science

Optimization

A Graph Neural Network Approach for Predicting Supply Chain Network Performance

with S. Chen, J.-S. Song, & Y. Wei, manuscript in preparation

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