You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
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.
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.
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 Python-based discrete-event simulation (DES) engine for modeling and analyzing complex queuing systems, featuring priority queues, server downtime, and customer reneging.
Intelligent multi-agent system for emergency department patient flow optimization. Combines RAG (medical protocols), MCP server, ML-based prompt injection guardrail, and real-time Streamlit dashboard with CO2 tracking. Built for Master SISE project.