Associate Professor Yang Song

Keywords

Fields of Research (FoR)

Computer vision, Deep learning, Pattern recognition, Machine learning, Applications in health, Image processing, Social robotics, Graph, social and multimedia data

Biography

Dr Yang Song is an ARC Future Fellow and Scientia Associate Professor in the School of Computer Science and Engineering. She is also currently the Associate Head of School (Research). She graduated with a BEng in Computer Engineering from Nanyang Technological University, Singapore, and obtained a PhD degree in Computer Science from the University of Sydney in 2013.

Her research area is in Computer Vision, Biomedical Image Analysis, Machine...view more

Her research area is in Computer Vision, Biomedical Image Analysis, Machine Learning, Deep Learning, and AI. She has over 220 peer-reviewed publications including papers in TMI, MedIA, TIP, TMM, NeuroImage, Bioinformatics, CVPR, ICCV, AAAI, IJCAI, ICLR and MICCAI. Her current research mainly focuses on the development of machine learning and deep learning algorithms for computer vision problems such as:

Segmentation in radiological images
Cancer analysis in histopathology images
Cell segmentation and tracking
Point clouds analysis
3D image reconstruction
Object detection and recognition
Action recognition and video analysis
Vision-based autonomous driving
Image enhancement and translation

Personal website - http://www.cse.unsw.edu.au/~ysong/

My Awards

Selected awards:

2024 ARC Industrial Transformation Research Hub for Human-Robot Teaming (2024 - 2029)
2023 Award for Inclusion Research, Google
2023 ARC Linkage Project (2023 - 2026)
2023 Women in AI 2023 Asia-Pacific Award in AI in Innovation
2022 NHMRC Ideas Grant (2023 - 2027)
2021 Faculty of Engineering Research Excellence Award, UNSW
2021 Impact Scholar, Google
2020 Scientia Fellowship, UNSW (2020 - 2028)
2019 ARC Future Fellowship (2020 - 2024)
2017 Dean’s Research Award, University of Sydney
2015 ARC Discovery Early Career Researcher Award (DECRA) (2015 - 2018)
2013 Google Publication Prize

My Research Supervision

Areas of supervision

Key areas: biomedical image analysis, general computer vision, deep learning, machine learning, interdisciplinary computer vision applications, multimedia data analysis

Actively recruiting PhD students. Interested candidates are strongly encouraged to apply.

See my personal website for more information - http://www.cse.unsw.edu.au/~ysong