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Sentao Miao

Title: 
Adjunct Professor, Operations Management
Sentao Miao
Contact Information
Email address: 
sentao.miao [at] mcgill.ca
Degree(s): 

PhD (2020), University of Michigan, Ann Arbor, USA
BS (2014), Jacobs University Bremen, Germany

Area(s): 
Operations Management
Link(s): 
Personal Website
Google Scholar
Biography: 

Sentao Miao is an Assistant Professor in Bensadoun School of Retail Management & Desautels Faculty of Management at McGillUniversity. His research interests are mainly in developing efficient learning and optimization algorithms with various applications inOperations Management. For methodologies, Sentao Miao focuses on statistical and machine learning algorithms such as online learning,multi-arm bandit problem, reinforcement learning; he is also interested in approximation algorithms with provable performance. Forapplications, he mainly works on operations management problems such as dynamic pricing, assortment selection, inventory control, etc.Before joining McGill University, Sentao Miao obtained his PhD degree in Department of Industrial and Operations Engineering atUniversity of Michigan.

Research areas: 
Big Data & Machine Learning
Optimization Under Uncertainty
Pricing & Revenue Management
Retail Operations Management
Supply Chain Management
Selected publications: 

Academic Paper:

  • Yanzhe (Murray) Lei, Sentao Miao, Ruslan Momot. "Privacy-Preserving Personalized Revenue Management." (2020) Under Review.
  • Xingyu Chen, Li Ji, Ling Jiang, Sentao Miao, Cong Shi. "More Bang for Your Buck: Effective KOL Marketing Campaign in Brazil Short-Video Emerging Markets." (2020) Under Review.
  • Xingyu Chen, Ling Jiang, Sentao Miao, Cong Shi. "Time to Leave Your Comfort Zone? Optimal Variation-Seeking Strategies for SocialMedia Influencers on Streaming Media Platforms." (2020) Under Review.
  • Sentao Miao, Stefanus Jasin, Xiuli Chao. "Asymptotically Optimal Lagrangian Policies for One-Warehouse Multi-Store System withLost Sales." (2020) Under Revision.
  • Sentao Miao, Xiuli Chao. "Online Personalized Assortment Optimization in a Big Data Regime." (2019) Under Review.
  • Sentao Miao, Xi Chen, Xiuli Chao, Jiaxi Liu, Yidong Zhang. "Context-Based Dynamic Pricing with Online Clustering." (2019) UnderReview.
  • Sentao Miao, Xiuli Chao. "Dynamic Joint Assortment and Pricing Optimization with Demand Learning." (2020) Manufacturing & ServiceOperations Management.
  • Boris Khoromskij, Sentao Miao. "Superfast wavelet transform using quantics-TT approximation. I. Application to Haar wavelets." (2014)Computational Methods in Applied Mathematics, 14(4), 537-553, 2014.

Paper from Industry Projects:

  • Sentao Miao, Xiuli Chao, Michael Tamor, Yan Fu, and Margaret Strumolo. "Cost-Effective Reduction of Greenhouse Gas Emissions viaCross-Sector Purchases of Renewable Energy Certificates." SAE International Journal of Materials and Manufacturing, 10(2017-01-0246), 338-350, 2017.
  • Sentao Miao, Yan Fu, Margaret Strumolo, Boxiao Chen, Xiuli Chao, Erica Klampfl, Michael Tamor. "Pricing of Renewable Gasoline andIts Impact on Greenhouse Gas Emission Reduction Planning for Automakers and Electricity Generators. " SAE Technical Paper, No.2016-01-0295, 2016.
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