Han Sun
Open Projects:
Test-Time Domain Adaptation for Anomaly Detection: SiROP link for detailed information
EPFL ENAC IIC IMOS
GC A3 445 (Bâtiment GC)
Station 18
1015 Lausanne
Web site: Web site: https://IMOS.epfl.ch
Fields of expertise
Deep Learning, Computer Vision, Domain Adaptation, Generative Modeling
Biography
Han obtained her master's degree in Geomatic from the Federal Institute of Technology in Zürich (ETHZ). Before joining IMOS Lab - EPFL, she focused on computer vision with a particular interest in domain adaptation & style adaptation. During her Ph.D. study, she will explore more in the field of domain adaptation with its application in industrial data sets.Awards
2022 : ETH Medal : Master's Thesis: Robust Object Detection with Efficient Labeled Data Factory
2021 : Esri Young Scholar Award 2021 : HoloInspect: A Mixed Reality BIM software on HoloLens
Research
Generative Modeling
Generative adversarial network, diffusion model, generative model-based domain adaptation & style adaptationDomain Adaptation
Domain adaptation for anomaly detection & fault diagnosisTeaching & PhD
CIVIL-426
Machine learning for predictive maintenance applicationsCourse Book
CIVIL-332
Data Science for infrastructure condition monitoringCourse Book