Selpi Selpi

Selpi is employed at the Division of Vehicle Safety at Chalmers. Her office is at SAFER, Lindholmspiren 3, Lindholmen Science Park, Göteborg.

Beside conducting research, leading research projects, supervising students, and teaching, she also has a role as the Director of Doctoral Studies in Machine and Vehicle Systems.

She has a PhD degree in Computing. Her PhD thesis is on application of a machine learning technique, called Inductive Logic Programming, for a bioinformatics problem related to gene regulation.

Her current interests include: applications of machine learning and data mining for transport-related domain (e.g., understanding driving styles/driver behaviour from naturalistic driving data, travel time and traffic volume predictions, text-mining for text data in transport) and studying the impact of mixed traffic (with different automation levels) on both traffic safety and traffic efficiency.

Published: Wed 06 Mar 2013. Modified: Tue 15 Jan 2019