Discrete-Event Simulator for Random System Monitoring Analysis

Term: 
2024-2025 Fall
Faculty Department of Project Supervisor: 
Faculty of Engineering and Natural Sciences
Number of Students: 
3

This project aims to engage students in the development of a discrete event simulator using Python or Matlab, focused on emulating the sampling/twinning processes of random digital twin systems. Digital twins are virtual representations of physical systems, and this project will require the students to model the random behavior of such systems through discrete events. By writing code to simulate the real-time interaction between the physical and digital worlds, students will gain hands-on experience in system modeling, event-driven programming, and the practical application of simulation techniques to assess and improve the performance of digital twins. The project will also involve the statistical analysis of the simulation results, allowing students to evaluate the effectiveness of different sampling strategies and their impact on system performance.

Related Areas of Project: 
Computer Science and Engineering
Electronics Engineering
​Mathematics

About Project Supervisors

Çağlar Tunç