Mika Sumida

Assistant Professor of Data Sciences and Operations

PhD, Cornell University; BA, Yale University

Mika is an assistant professor in the Department of Data Sciences and Operations at the USC Marshall School of Business. Her research focuses on developing efficient and provably good algorithms for revenue management and resource allocation problems. She is especially interested in problems with applications in online marketplaces, delivery systems, and the sharing economy. She obtained her PhD at the Cornell School of Operations Research and Information Engineering under the supervision of Huseyin Topaloglu. Prior to her PhD, Mika spent two years working in operations and management consulting at Analytics Operations Eng., Inc.
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Mika Sumida, Guillermo Gallego, Paat Rusmevichientong, Huseyin Topaloglu, James Davis () "Revenue-Utility Tradeoff in Assortment Optimization under the Multinomial Logit Model with Totally Unimodular Constraints ,"  Management Science  67, 2845-2869.
Paat Rusmevichientong, Mika Sumida, Huseyin Topaloglu () "Dynamic Assortment Optimization for Reusable Products with Random Usage Durations ,"  Management Science  66, 2820-2844.
Yuhang Ma, Paat Rusmevichientong, Mika Sumida, Huseyin Topaloglu () "An Approximation Algorithm for Network Revenue Management Under Nonstationary Arrivals ,"  OPERATIONS RESEARCH  68, 834-855.
Omar El Housni, Mika Sumida, Paat Rusmevichientong, Huseyin Topaloglu, Serhan Ziya () "Can Testing Ease Social Distancing Measures? Future Evolution of COVID-19 in NYC ,".
Mika Sumida, Huseyin Topaloglu () "An Approximation Algorithm for Capacity Allocation Over a Single Flight Leg with Fare-Locking ,"  INFORMS JOURNAL ON COMPUTING  31, 83-99.