Papers are grouped according to if they are: preprints, conference papers or journal papers; and within groups they are listed in chronological order. Papers also have [Keywords] in bold.

Publications

Preprints and Working Papers

1. Erazo, I. and Toriello A., Multiple Vehicle Submodular Dispatching. [Discrete Optimization, Combinatorial Optimization, Logistics]
  To be presented in the INFORMS Transportation and Logistics Society Triennial Conference (2023).
  
  To be presented in the INFORMS Annual Meeting (October 2023)
2. Erazo, I. and Toriello A., Submodular Dispatching, under major revisions in Operations Research. [Discrete Optimization, Combinatorial Optimization, Approximation Algorithms, Logistics, Machine Scheduling]
  Top 3 Short Presentations, YinzOR Conference Carnegie Mellon (2021).
  
  Conference presentations at INFORMS Annual Meeting (2021), Odysseus International Workshop on Freight Transportation and Logistics (2021).

Journal Articles

1. Erazo, I., Goldsman, D. and Mei, Y. (2023), Cost-Efficient Fixed-Width Confidence Intervals for the Difference of Two Bernoulli Proportions, Journal of Simulation. [Confidence Intervals, Sequential Procedures, Convex Program, Heuristics, Case Study- Healthcare]
2. Erazo, I. and Goldsman, D. (2021), Efficient Confidence Intervals for the Difference of Two Bernoulli Distributions' Success Parameters, Journal of Simulation. [Confidence Intervals, Sequential Procedures, Heuristics]

Conference Articles

1. Erazo, I. (2023), Smart Sports Predictions Via Hybrid Simulation, NBA Case Study , will be published and presented in the Winter Simulation Conference 2023. [Simulation, Agent-based Behavior, Prediction, NBA Case Study]
2. Erazo, I., et al. (2022), A Simulation-Optimization Framework to Improve the Organ Transplantation Offering System , in Proceedings of the Winter Simulation Conference 2022. [Simulation-Optimization, Efficiency Maximization, Policy-Making, Monte-Carlo Simulation, Application Transplantation System]
  Best Applied Student Paper Award (Winner).
  
  Presented in Ph.D. Colloquium, Poster Madness and Simulation-Optimization, Health-Care Applications Tracks.
3. Erazo, I. and De la Fuente, R. (2021), A Simulation-Based Approach to Compare Policies and Stakeholders' Behaviors for the Ride-Hailing Assignment Problem , in Proceedings of the Winter Simulation Conference 2021. [Large-Scale Simulation, Policy Optimization, Data-Driven Simulation]
4. De la Fuente, R., Smith, R. and Erazo, I. (2018), Enabling Intelligent Processes in Simulation Utilizing the Tensor Flow Deep Learning Resources , in Proceedings of the Winter Simulation Conference 2018. [Simulation, Hybrid Model, Embedded Machine Learning]