معرفی
Ross T. Whitaker is a Professor and Director of the School of Computing at the University of Utah, where he is also a faculty member of the Scientific Computing and Imaging (SCI) Institute. He has been a key figure in advancing computational methods in medical imaging, geometry processing, and scientific visualization.
- University: University of Utah
- School: School of Computing
- Institute: Scientific Computing and Imaging (SCI) Institute
Education:
- B.S. in Electrical Engineering and Computer Science, Princeton University (Summa Cum Laude, 1986)
- Ph.D. in Computer Science, University of North Carolina at Chapel Hill (1994)
Research Interests:
Ross Whitaker's research spans image analysis, statistical shape modeling, GPU-based PDEs, level-set methods, and uncertainty visualization. His work emphasizes adaptive, data-driven models for image denoising, segmentation, and reconstruction, often using nonparametric statistics and information-theoretic principles. He has pioneered methods in tetrahedral meshing, particle systems for surface sampling, and manifold learning.
Recent Publication Trends:
His recent publications (2020–2025) highlight a strong focus on statistical shape analysis in medical applications, particularly in metopic craniosynostosis, using tools like DeepSSM and CranioRate. There is a growing emphasis on deep learning, explainable AI, and multimodal sensing (e.g., audio-visual detection of idling vehicles). His interdisciplinary work bridges computer science, biomedical engineering, and environmental health.
Scientific Awards:
- IEEE Fellow
- NSF Career Award
- Alumni Scholarship Award (UNC Chapel Hill)
Advising and Grants:
He leads a graduate research group in image analysis and scientific computing, mentoring students like Miriah Meyer (Ph.D. 2010). His projects are supported by federal agencies and industrial contracts, focusing on shape modeling, medical imaging, and environmental monitoring. He has developed influential software such as ShapeWorks, Seg3D, Cleaver, and contributed to ITK.
Labs and Teams:
He is a core member of the SCI Institute, a leading interdisciplinary research center in scientific computing and visualization. His team develops computational tools for biomedical image analysis and uncertainty quantification, with applications in surgery, diagnostics, and public health.
