Selpi Selpi

Selpi Selpi is a Researcher at the Department of Data Science and AI, Chalmers University of Technology. They lead Work Package 3 (Methodologies for Assessment) in the EU-funded PANACEA project, focusing on fit-to-drive assessments for professional drivers through data fusion and impairment detection.

• Supervision: Main advisor to doctoral students Amer Mustajbasic (2023-present) and Mengyu Huang (2024-present).
• Research Interests: Data-centric AI, multimodal learning, unsupervised learning, and interpretable AI applied to autonomous driving and traffic safety.

Key contributions include algorithms for driver behavior analysis in mixed traffic, BEV data fusion techniques, and scenario-based risk assessment frameworks. Publications from 2025–2017 span journals like IEEE Transactions on Intelligent Transportation Systems and conference proceedings at ECML PKDD.