Leann Thayaparan

Leann Thayaparan

Assistant Professor

Publications

UMOTEM: Upper Bounding Method for Optimizing over Tree Ensemble Models

under review at Management Science, 2023

Full paper can be found here

  • 2023 - Finalist of the MSOM Student Paper Competition
  • 2023 - ORC Best Student Paper Award
  • 2023 - Honorary Mention of the POMS College of SCM Best Student Paper Competition
  • 2022 - Finalist, RMP Jeff McGill Student Paper Award

Recommended citation: Perakis, G., Thayaparan L., Boroujeni S., Panchamgam K., and Schubertruegmer R. (2022). UMOTEM: Upper Bounding Method for Optimizing over Tree Ensemble Models. submitted to Management Science

COVID-19: Prediction, prevalence, and the operations of vaccine allocation

Manufacturing & Service Operations Management, 2022

Full paper can be found here

  • 2021 - Winner, ICSS Best Conference Paper Competition
  • 2021 - Finalist, Doing Good with Good OR Competition (Skali Lami, 21)
  • 2021 - Finalist, Public Sector Operations Research Best Paper Award

Recommended citation: Bennouna, A., Joseph, J., Nze-Ndong, D., Perakis, G., Singhvi, D., Lami, O. S., Spantidakis, Y., Thayaparan, L., & Tsiourvas, A. (2022). COVID-19: Prediction, prevalence, and the operations of vaccine allocation. Manufacturing & Service Operations Management.

Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States

Proceedings of the National Academy of Sciences, 2022

Full paper can be found here

Recommended citation: Cramer, E. Y., Ray, E. L., Lopez, V. K., Bracher, J., Brennen, A., Castro Rivadeneira, A. J., ... & Georgescu, A. (2022). Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States. Proceedings of the National Academy of Sciences, 119(15), e2113561119.

COVID-19: A multiwave SIR-based model for learning waves

Production and Operations Management, 2022

Full paper can be found here

  • 2021 - Second Place, INFORMS Service Science Best Student Paper Award (INFORMS Annual Meeting)
  • Preliminary version in 2021 MSOM Healthcare Operations SIG

Recommended citation: Perakis, G., Singhvi, D., Skali Lami, O., & Thayaparan, L. (2022). COVID-19: A multiwave SIR-based model for learning waves. Production and Operations Management.

The SAFE Method for Feature Reduction and Prediction

soon to be submitted to Journal of Machine Learning, 2022

Recommended citation: Cohen-Hillel T., Perakis G., Spantidakis I., and Thayaparan L. (2022). The SAFE Method for Feature Reduction and Prediction. soon to be submitted to Journal of Machine Learning

The Power of Analytics in Epidemiology for COVID-19

INFORMS International Conference on Service Science, 2021

Full paper can be found here

Recommended citation: Bennouna, A., Nze-Ndong, D., Perakis, G., Singhvi, D., Lami, O. S., Spantidakis, Y., Thayaparan, L., Tsiourvas, A., & Weisberg, S. (2022). COVID-19: Prediction, prevalence, and the operations of vaccine allocation. In: Qiu, R., Lyons, K., Chen, W. (eds) AI and Analytics for Smart Cities and Service Systems. ICSS 2021. Lecture Notes in Operations Research. Springer, Cham. https://doi.org/10.1007/978-3-030-90275-9_21