MATLAB implementation of all the Operations Research algorithms and problems solved by me.

R-package to implement the waiting list management approach described in this paper by Fong et al: https://www.medrxiv.org/content/10.1101/2022.08.23.22279117v1.full-text

An M/M/1/K queue Python3 simulator that compares the simulation results against the analytics results. The queue have limited capacity K and processes may be blocked (if queue is full) or leave queue before get service (there is a deadline for each process) or get service from server.

Implementing the Deterministic and Stochastic Models in Queuing Theory, including graph result (if exists for a model).

Supply Chain Process Design using the Queueing Theory

⚖️ Libra: A high-performance, feature-rich queue load balancer for Java applications.

Link Layer Topology Reveal (LLTR) Simulation Model (OMNeT++/INET)

Sorting Fast Data on Sequential Sensors

Simple script to Simulate Customer waiting to be served in a server using Queuing Theory.

A discrete-event simulation model to optimize patient flow in the Emergency Department of Sta. Cruz Provincial Hospital, Philippines. Built with Python and SimPy, it analyzes bottlenecks, resource utilization, and waiting times, providing data-driven recommendations for improved efficiency.

Research in Blockchain, IoT and other state-of-the-art technologies

TellerFlowOptimizer is a Java-based bank simulation that models customer flow and teller scheduling. It supports multiple scheduling algorithms (Greedy, Round Robin, Least Work Left), provides real-time queue and teller analytics, and includes a powerful comparison mode for performance analysis.

A discrete event simulation of an Airport using SimPy

Web Api to simulate queueing system

Assignment Submission for course Operations Research (MATH F242)

Discrete Event Simulation | Queue Modeling | Bayesian Optimization | Full Factorial Design. "Design and Operation of Individualized Single-use Systems: Car-T Cell Therapy". Modeling Single-use systems using stochastic optimization techniques.

Modeling and simulating various queuing models such as: M/M/1, M/M/k, G/G/1, G/M/1, and M/G/1 for Large Language Model (LLM) inference systems. These simlulations bridge the gap between theoretical frameworks and practical simulations, this provides valuable insights for developing scalable, energy-efficient AI infrastructures.

Some queuing simulators implemented in C

基于排队论的新能源充电站简易仿真 / Simulation of Charging Stations Based on Queuing Theory

Prediction tool