Managing and executing simulation projects independently or within a team mainly using FlexSim software. Key responsibilities include:• Leading simulation projects to ensure quality outcomes and client satisfaction.• Providing training on simulation techniques and software.• Developing and enhancing simulation model software.• Promoting and selling simulation services and software.

Provide assistance in the Master's level course Logistics Systems Modelling and Optimisation with code 1TE776.Responsibilities include:- Supervise lab sessions. - Host Q&A sessions.- Give feedback to reports and other tasks.

Master thesis conducted with Uppsala University and Scania.Target and assignmentsThe primary objective of this research is to identify bottlenecks and optimize parameters in the process that affect throughput and energy consumption by using machine learning-infused simulation tools.This includes:• Process understanding and data collection.• Model development: Design a simulation model and validate it with production data.• Metamodeling: development, experimentation and performance evaluation of various machine learning algorithms for simulation metamodeling.• Parameter tuning: experimentation on how the importance scores extracted from the meta-modelling can be used for the parameter tuning of the optimization algorithm for bottleneck analysis.• Insight generation and demo: Conduct bottleneck analysis and analyze the model results to gain valuable insights into potential areas for optimization. A visualization of the results to aid the engineers in the manufacturing area is desirable.

Final degree project conducted with the University of Skövde and VOLVO GTO. Master thesis adapted to a Bachelor thesis. "Algorithmic Identification of Faulty Production Stops using Multiple Data Sources".