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Posts by Collection
portfolio
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publications
An Analysis of Television Show Viewership Growth through SIR Virus Models
Undergraduate Thesis, 2016
Recommended citation: Thayaparan, L. (2016). An Analysis of Television Show Viewership Growth through SIR Virus Models.
The Power of Analytics in Epidemiology for COVID-19
INFORMS International Conference on Service Science, 2021
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
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
COVID-19: A multiwave SIR-based model for learning waves
Production and Operations Management, 2022
- 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.
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States
Proceedings of the National Academy of Sciences, 2022
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.
The Role of Optimization in Some Recent Advances in Data-Driven Decision-Making
Mathematical Programming, 2022
Recommended citation: Baardman, L., Cristian, R., Perakis, G., Singhvi, D., Skali Lami, O., & Thayaparan, L. (2022). The role of optimization in some recent advances in data-driven decision-making. Mathematical Programming, 1-35.)
COVID-19: Prediction, prevalence, and the operations of vaccine allocation
Manufacturing & Service Operations Management, 2022
- 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.
UMOTEM: Upper Bounding Method for Optimizing over Tree Ensemble Models
under review at Management Science, 2023
- 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
The Role of Driver Behavior in Moving the Electric Grid to Zero Emissions
under review at Operations Research, 2023
Recommended citation: Perakis G., and Thayaparan L. (2022). Optimizing Electric Vehicle Batteries to Act as Distributed Renewable Energy Storage. work in progress.
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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