Welcome to NRGEAS
The Nordic Research Group for Engineering Automotive Software.
We are a research team at the Department of Computer Science and Engineering at University of Gothenburg and Chalmers University of Technology in Gothenburg, Sweden.
Our aim is to improve the way how software is made for automotive and embedded applications.
We research and develop data-driven methods that incorporate cloud-native principles to improve the engineering of complex, even AI-enabled software systems. We collaborate with other research groups and industries to bring ideas and approaches from theory to practice and systematically evaluate our ideas in relevant application contexts.
We are continuously looking for passionate new PostDocs, PhD students, and Bachelor and Master students to join our team (more info)!
We are grateful for funding from University of Gothenburg and Chalmers University of Technology, the Swedish Research Council (VR), Vinnova, the Wallenberg AI, Autonomous Systems and Software Program (WASP), the Swedish Foundation for Strategic Research, and from European Union’s Horizon 2020.
News
July 02, 2024
Our proposal “Insightful Automotive Operational Data - Using Foundation Models for Time-Series Data at Scale” was approved to receive funding from Vinnova.
June 27, 2024
Our paper “Engineering Safety Requirements for Autonomous Driving with Large Language Models” was awarded the Challenge Award at RE’24; pre-print available here.
March 30, 2024
My PhD student Chi Zhang’s paper “Predicting and Analyzing Pedestrian Crossing Behavior at Unsignalized Crossings” to IV’24 has been accepted; pre-print available here.
March 23, 2024
My PhD student Ali Nouri’s paper “Engineering Safety Requirements for Autonomous Driving with Large Language Models” to RE’24 has been accepted; pre-print available here.
January 22, 2024
My PhD student Krishna Ronanki’s paper “Prompt Smells - An Omen for Undesirable Generative AI Outputs” to CAIN’24 has been accepted; pre-print available here.