Projects

Real and synthetic scenarios generated for the development, training, virtual testing and validation of CCAM systems.

Human-centred collaboratIVE MultI-ageNt framework for accelerating software Development and maintenance. The project introduces an adaptive LLM-based framework enabling collaboration between human actors and AI agents tailored to reflect and provide specialized support for different roles in conventional software development teams.

Personal infrastructure running on Arch Linux with Docker, self-hosted services, and on-premise AI model deployment. Experimenting with edge inference, LLMs, and containerized development environments.

EU project on Connected and Automated Mobility (CCAM) systems research.

LASH FIRE is an international research project aiming to significantly reduce the risk of fires on board ro-ro ships.

Verification and Validation of Automated Systems Safety and Security.

Manually defining models of complex systems is an intractable problem. In this project we develop methods and tools to automate the generation of formal models for complex systems.

Within the ENTOC project my role has been to collect meaningful information from the complex manufacturing stations and generate a process model that captures the behavior of the system. Furthermore, I use these models along with the nominal model of the system to help identify anomalies in the behavior.

This project aims to develop an 'Information System Architecture' for manufacturing systems. My contribution here was to enable the collection of data from robot manufacturing stations. The data defines the operations performed by the manufacturing system and was used visualize the operating sequences along with predicting maintenance needs.

The Carolo-Cup is a student competition, providing student teams with a platform for the design and implementation of automated RC cars. The main challenge is to implement cutting-edge algorithmic solutions for vehicle control and environment perception, based on a realistic application scenario.

Virtual Commissioning project for manufacturing systems.

Chalmers Formula Student bridges the gap between Engineering Education and Industry by training students in a real-life project where they independently Design, Analyze and develop Technology solutions by making Data-Driven Decisions throughout the Design, Manufacturing and Testing of a full-fledged Formula Racing automobile, and finally put their skills to the test in competitions with various other teams from the rest of the world.