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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.
This project explores and implements various techniques and protocols using SageMath. It covers topics such as Elliptic Curve Diffie-Hellman (ECDH) key exchange, homomorphic encryption, secure multi-party computation (MPC), queueing theory analysis, and RSA cryptanalysis.
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.