Benjamin B Kimia

Benjamin B Kimia serves as Professor of Engineering at Brown University, leading research in computer vision and medical image understanding with emphasis on shape representation and clinical applications. His work bridges theoretical computer vision with practical medical solutions including tumor ablation guidance and surgical imaging systems.

Educational background:

• PhD, McGill University (1991)
• ME, McGill University (1986)
• BA, McGill University (1983)

Research centers on object recognition through skeletal structures and shock sets, translating shape analysis into graph-matching problems. Key projects include multiview scene reconstruction, BlindFind navigation system for the visually impaired, and medical image registration for CT/MR datasets. His digital halftoning research addresses perceptual color reproduction in printing systems using mathematical image processing.

Publication analysis reveals consistent geometric approaches to vision problems across three decades, with strong interdisciplinary connections between theoretical shape representation (symmetry sets, shock graphs) and medical applications (segmentation, surgical guidance). The work demonstrates evolutionary progression from 2D shape theory toward 3D medical imaging challenges.

Scientific Awards:

• No awards documented in source material

Professor Kimia supervises graduate research in medical image analysis and computer vision, with documented projects including image-guided tumor ablation and minimally invasive surgery systems. His research receives grant support for medical device development though specific funding details aren't provided.

He maintains active leadership in Brown's Engineering department through teaching ENGN courses in Medical Image Analysis, Computer Vision, and Linear Systems, while collaborating with medical researchers on imaging applications and surgical technologies.