Han Sun
EPFL ENAC IIC IMOS
GC A3 445 (Bâtiment GC)
Station 18
1015 Lausanne
+41 21 693 60 51
Office:
GC A3 445
EPFL › ENAC › IIC › IMOS
Website: https://IMOS.epfl.ch
Expertise
Deep Learning, Computer Vision, Domain Adaptation, Generative Modeling
Open Projects:
Test-Time Domain Adaptation for Anomaly Detection: SiROP link for detailed information
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
ETH Medal
Master's Thesis: Robust Object Detection with Efficient Labeled Data Factory
2022
Esri Young Scholar Award 2021
HoloInspect: A Mixed Reality BIM software on HoloLens
2021
Research
Domain Adaptation
Domain adaptation for anomaly detection & fault diagnosis
Generative Modeling
Generative adversarial network, diffusion model, generative model-based domain adaptation & style adaptation
Teaching & PhD
CIVIL-332
Data Science for infrastructure condition monitoring
Course Book
Course Book
CIVIL-426
Machine learning for predictive maintenance applications
Course Book
Course Book