Sebastián Souyris

Research | Sebastián Souyris

Research

Modeling, data-driven optimization, machine learning and artificial intelligence, applied to problems in energy, healthcare, media and supply chain management.

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Energy and sustainability

Policy design for household adoption of clean energy, volatility in energy commodity markets, and incentive design in agricultural supply chains.

  • Accelerating the Adoption of Residential Solar Power Systems: Policy Analysis using a Dynamic Structural Model S. Souyris, J. Duan, A. Balakrishnan & V. Rai. Major revision at M&SOM. https://arxiv.org/abs/2608.23796, https://ssrn.com/abstract=4301666
  • Identifying Drivers of Volatility in Energy Commodity Markets J. Rivero, S. Souyris & D. Willems. In progress.
  • Sustainable Operations Management in the Energy Sector: A Comprehensive Review of the Literature from 2000 to 2024 M. Losada-Agudelo & S. Souyris. Sustainability 16(18), 7999, 2024. https://doi.org/10.3390/su16187999
  • Structuring Incentive Mechanisms for Sustainable Coffee Futures Contracts: Models, Analysis, and Insights M. Losada-Agudelo, H. Hekimoglu & S. Souyris. Working paper.

Health systems under stress

Testing and lock-down as control mechanisms for emerging epidemics, consent design in school testing programmes, and the effect of public health messaging on behaviour.

  • Informational value of visual nudges during crises: Improving public health outcomes through social media engagement amid COVID-19 A. Ivanov, Z. Tacheva, A. Alzaidan, S. Souyris & A. C. England. Production and Operations Management 32, 2400–2419, 2023. https://doi.org/10.1111/poms.13982
  • Detecting and mitigating simultaneous waves of COVID-19 infections S. Souyris, S. Hao, S. Bose, A. C. England, A. Ivanov, U. K. Mukherjee & S. Seshadri. Scientific Reports 12, 16727, 2022. https://doi.org/10.1038/s41598-022-20224-5
  • COVID-19 Test-to-Stay Program for K-12 Schools: Opt-In Versus Opt-Out Consent Model A. Ivanov, U. K. Mukherjee, S. Bose, S. Seshadri, R. Watkins, A. C. England, J. Suriano, M. E. Ahsen & S. Souyris. iScience 27(1), 108770, 2024. https://doi.org/10.1016/j.isci.2023.108770
  • Evaluation of reopening strategies for educational institutions during COVID-19 through agent based simulation U. K. Mukherjee, S. Bose, A. Ivanov, S. Souyris, S. Seshadri, P. Sridhar, R. Watkins & Y. Xu. Scientific Reports 11, 6264, 2021. https://doi.org/10.1038/s41598-021-84192-y
  • Testing as a Control Mechanism for Emerging Epidemics U. K. Mukherjee, S. Souyris & A. Ivanov. Foundations and Trends in Technology, Information and Operations Management 19(2-3), 277–328, 2025. https://doi.org/10.1561/0200000116-10
  • Hotspots for Emerging Epidemics: Multi-Task and Transfer Learning over Mobility Networks S. Hao, Y. Xu, U. K. Mukherjee, S. Souyris, S. Seshadri, A. Ivanov & M. E. Ahsen. Working paper. https://ssrn.com/abstract=3858274
  • Sources and Impact of Individual- and Population-level Behavior on the Outcomes of Testing Policy Implementations at Educational Institutions S. Souyris, U. K. Mukherjee & A. Ivanov. Working paper.

Media and revenue management

Scheduling and inventory optimization for television advertising, deployed at national networks.

  • Scheduling Advertising on Cable TelevisionFirst prize, INFORMS RM&P 2022 S. Souyris, S. Seshadri & S. Subramanian. Operations Research 71(6), 2217–2231, 2023. https://doi.org/10.1287/opre.2022.2430
  • Amplifying Marketing Impact: Optimizing Network TV Advertising Inventory with Advanced AnalyticsIAAA finalist 2024 S. Souyris, S. Seshadri, D. Popescu, V. Kumawat, A. Punjabi, S. Sehgal, D. Sharma & V. Verma. Working paper.
  • The Television Business from an Operational and Analytics Perspective S. Souyris, J. Miranda & J. A. Salinas Carrasco. Working paper.
  • Opportunities for Linear Television Using Data Science S. Souyris. Media and Entertainment Journal, Spring 2017.

Supply chain management, logistics and scheduling

Robust optimization, branch-and-price and constraint programming for technician dispatching under uncertainty, and integer programming for national league fixtures.

  • Operations Research Transforms the Scheduling of Chilean Soccer Leagues and South American World Cup QualifiersEdelman finalist 2016 F. Alarcón, G. Durán, M. Guajardo, J. Miranda, H. Muñoz, L. Ramírez, M. Ramírez, D. Sauré, M. Siebert, S. Souyris, A. Weintraub, R. Wolf-Yadlin & G. Zamorano. INFORMS Journal on Applied Analytics 47, 52–69, 2017. https://doi.org/10.1287/inte.2016.0861
  • Branch-and-Price and Constraint Programming for Solving a Real-Life Technician Dispatching Problem C. E. Cortés, M. Gendreau, L. M. Rousseau, S. Souyris & A. Weintraub. European Journal of Operational Research 238(1), 300–312, 2014. https://doi.org/10.1016/j.ejor.2014.03.006
  • A Robust Optimization Approach to Dispatching Technicians under Stochastic Service Times S. Souyris, C. E. Cortés, F. Ordoñez & A. Weintraub. Optimization Letters 7, 1549–1568, 2013. https://doi.org/10.1007/s11590-012-0557-6
  • Scheduling the Chilean Soccer League by Integer ProgrammingEURO finalist 2009 G. Durán, M. Guajardo, J. Miranda, D. Sauré, S. Souyris, A. Weintraub & R. Wolf. INFORMS Journal on Applied Analytics 37(6), 539–552, 2007. https://doi.org/10.1287/inte.1070.0318
  • A Hybrid Quantum-Classical Approach for Semidefinite Programming Problems D. Moran, S. Paternain & S. Souyris. Working paper.