Projects

AI systems should be data-quality aware and useful for humans' purposes. This connects my work across library services, medical data, and autonomous driving.

Data-quality aware AI

AI for library services — ALiT

Supporting librarians through AI-powered practice and reflection.

AI for library services — ALiT

Supporting librarians through AI-powered practice and reflection.

AI for library services — ALiT

Supporting librarians through AI-powered practice and reflection.

Medical concept normalization: mapping diverse patient expressions to standard concepts.

Data quality in medical data

Data Quality Issues in Medical Concept Normalization (MCN).

Data quality in medical data

Data Quality Issues in Medical Concept Normalization (MCN).

Data quality in medical data

Data Quality Issues in Medical Concept Normalization (MCN).

Multisource and multimodal data in autonomous driving, including camera, LiDAR, radar, and vehicle data.

Data quality in autonomous driving

Redundancy Multi-source and Multi-modal Data

Data quality in autonomous driving

Redundancy Multi-source and Multi-modal Data

Data quality in autonomous driving

Redundancy Multi-source and Multi-modal Data