I am an assistant professor in the Department of Data Sciences and Operations at the USC Marshall School of Business. My research focuses on developing efficient and provably good algorithms for revenue management and resource allocation problems. I am especially interested in problems with applications in online marketplaces, delivery systems, and the sharing economy. I completed my PhD under the supervision of Huseyin Topaloglu at the Cornell ORIE department.

Publications

• Revenue Management with Heterogeneous Resources: Unit Resource Capacities, Advance Bookings, and Itineraries over Time Intervals.

  Paat Rusmevichientong, Mika Sumida, Huseyin Topaloglu, and Yicheng Bai, Operations Research, 2023.

• Revenue-Utility Tradeoff in Assortment Optimization under the Multinomial Logit Model with Totally Unimodular Constraints.

  Mika Sumida, Guillermo Gallego, Paat Rusmevichientong, Huseyin Topaloglu, and James Davis. Management Science, 2021.

• An Approximation Algorithm for Network Revenue Management under Nonstationary Arrivals.

  Yuhang Ma, Paat Rusmevichientong, Mika Sumida, and Huseyin Topaloglu. Operations Research, 2020.

• Dynamic Assortment Optimization for Reusable Products with Random Usage Durations.

  Paat Rusmevichientong, Mika Sumida, and Huseyin Topaloglu. Management Science, 2020.

• An Approximation Algorithm for Capacity Allocation over a Single Flight Leg with Fare-Locking.

  Mika Sumida and Huseyin Topaloglu. INFORMS Journal on Computing, 2019.

Working Papers

• Optimizing and Learning Assortment Decisions in the Presence of Platform Disengagement.

  Mika Sumida and Angela Zhou, Under Review.

• Dynamic Resource Allocation with Recovering Rewards under Non-Stationary Arrivals.

  Mika Sumida, Under Review.