My research examines the applications of innovative technologies and data analytics in operations, with an interest in characterizing their theoretical foundations and social impacts.
Research Papers
1. The Blockchain Newsvendor: Value of Freshness Transparency and Smart Contracts, with N. Bora Keskin & Jing-Sheng Jeannette Song
- Management Science, Forthcoming (SSRN Link)
- Winner, Best Paper Award, Digital Supply Chain and Supplier Diversity Conference, 2022
- Winner, Fan Favorite Award, CMU YinzOR Conference Flash Talk Competition, 2022
- Second Place, POMS-HK Best Student Paper Competition, 2023
- Accepted to MSOM SIG (Supply Chain Management Track), 2023
- Featured in Duke Fuqua Insights
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2. Finite-Time Regret Analysis of Kiefer-Wolfowitz Stochastic Approximation Algorithm and Nonparametric Multi-Product Dynamic Pricing with Unknown Demand, with L. Jeff Hong & Jun Luo (2020)
- Naval Research Logistics (NRL), 67(5):368-379.
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3. Innovator's Edge in Supply Chain Transparency and Food Waste Reduction, with N. Bora Keskin & Jing-Sheng Jeannette Song
- Management Science, Under review (SSRN Link)
- Finalist, INFORMS Minority Issues Forum Summer Webinar Competition, 2024
- Previous title: Innovator's Advantage in Competitive Technology Adoption: Enhancing Profit and Combating Food Waste via Supply Transparency
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4. Information Provision with Information Overload, with N. Bora Keskin & Meng Li
- To be submitted soon
- Winner, Best Student Paper, INFORMS Workshop on Data Science, 2024
- Accepted to INFORMS Data Mining & Decision Analytics (DMDA) Workshop, 2024
- Accepted to INFORMS Workshop on Data Science (DS), 2024
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5. Incentivizing Electric Vehicle Adoption in Ride-Hailing, with N. Bora Keskin & Nur Sunar
- To be submitted soon
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