Scholar
Sharon X. Huang
Google Scholar ID: iTtzc1UAAAAJ
David Reese Professor in College of Information Sciences and Technology at Penn State University
Citations & Impact
Citations
14,891
H-index
36
i10-index
78
Publications
20
Co-authors
107
list available
Publications
Resume (English only)
Academic Achievements
- Published papers such as 'Enhancing AI-assisted Stroke Emergency Triage with Adaptive Uncertainty Estimation' at the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI). Serves as an area chair and on program committees of major conferences in medical image computing and computer vision, and is an associate editor for several journals including Medical Image Analysis and Computerized Medical Imaging and Graphics.
Research Experience
- Currently the David Reese Professor in the College of Information Sciences and Technology at Penn State University, and an affiliate member of the Huck Institutes of the Life Sciences and the Institute for Computational and Data Sciences. Her work focuses on developing robust image analysis methods and building autonomous intelligent systems that integrate algorithms with efficient, application-specific designs to solve computational problems in biomedicine, perception, and cognition. Specifically, she works towards robust medical imaging software based on computer vision and machine learning algorithms to aid doctors in accurate and reproducible diagnosis, and help them better understand anatomical and physiological relationships in normal and diseased states.
Education
- Received B.E. in Computer Science from Tsinghua University, China; M.S. and Ph.D. in Computer Science from Rutgers University.
Background
- Research interests: artificial intelligence, computer vision, biomedical image computing, and machine learning, focusing on methods for image and video segmentation, synthesis, 3D computer vision, object recognition, computer-assisted diagnosis and intervention, registration/matching, and motion tracking. Broader interests include AI and data science for healthcare and biomedicine, biomedical informatics, computer graphics, visualization, and human-computer interaction.
Miscellany
- Homepage, Google Scholar, LinkedIn, ORCID links provided; office hours are Tuesdays 3-5pm.
