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From Wikipedia, the free encyclopedia
Charles Bouman
Born
Charles Addison Bouman Jr.
NationalityAmerican
Alma mater University of Pennsylvania
University of California at Berkeley
Princeton University
Children Katie Bouman
Amanda Bouman
Alexander Bouman
AwardsRaymond C. Bowman Award from the Society for Imaging Science and Technology (2003)
Scientific career
Fields Electrical engineering
Institutions Purdue University
Thesis Hierarchical modeling and processing of images (1989)
Doctoral advisor Bede Liu

Charles Addison Bouman Jr. ( /ˈbmən/) is the Showalter Professor of Electrical and Computer Engineering and Biomedical Engineering at Purdue University, where he has taught since 1989. His research focuses on applications of image processing in various contexts, including medicine, materials science, and consumer imaging. [1] [2] His work led to the development of the first commercial CT scan technology to use model-based iterative reconstruction. He is a co-inventor on over fifty patents in the field of consumer imaging. He is a member of the National Academy of Inventors, [3] as well as a fellow of the Institute of Electrical and Electronics Engineers, the American Institute for Medical and Biological Engineering, [4] the Society for Imaging Science and Technology, [5] and SPIE. [6] He was formerly the editor-in-chief of IEEE Transactions on Image Processing. [1]

He is the father of computational imaging scientist Katie Bouman.

Fusing Sensor Models with Machine Learning Models

Bouman is the lead author of what has been described as a "Plug-n-Play" method for fusing sensor models and machine-learning models for joint optimization of the two for the generation of images from noisy and incomplete projection data. [7]

References

  1. ^ a b "Charles A. Bouman Short Bio". Purdue University College of Engineering. Retrieved December 28, 2019.
  2. ^ Bangert, Dave (April 10, 2019). "That first-ever black hole picture? A West Lafayette grad played a big part". Journal & Courier. Retrieved December 28, 2019.
  3. ^ "Professor Charles Bouman elected Fellow of National Academy of Inventors". Purdue University. December 17, 2015. Retrieved December 28, 2019.
  4. ^ "Fellow Directory". American Institute for Medical and Biological Engineering. Retrieved December 28, 2019.
  5. ^ "Fellowship". Society for Imaging Science and Technology. Retrieved December 28, 2019.
  6. ^ "Prof. Charles A. Bouman". SPIE. Retrieved December 28, 2019.
  7. ^ "Plug-and-Play: A General Approach for the Fusion of Sensor and Machine Learning Models".


From Wikipedia, the free encyclopedia
Charles Bouman
Born
Charles Addison Bouman Jr.
NationalityAmerican
Alma mater University of Pennsylvania
University of California at Berkeley
Princeton University
Children Katie Bouman
Amanda Bouman
Alexander Bouman
AwardsRaymond C. Bowman Award from the Society for Imaging Science and Technology (2003)
Scientific career
Fields Electrical engineering
Institutions Purdue University
Thesis Hierarchical modeling and processing of images (1989)
Doctoral advisor Bede Liu

Charles Addison Bouman Jr. ( /ˈbmən/) is the Showalter Professor of Electrical and Computer Engineering and Biomedical Engineering at Purdue University, where he has taught since 1989. His research focuses on applications of image processing in various contexts, including medicine, materials science, and consumer imaging. [1] [2] His work led to the development of the first commercial CT scan technology to use model-based iterative reconstruction. He is a co-inventor on over fifty patents in the field of consumer imaging. He is a member of the National Academy of Inventors, [3] as well as a fellow of the Institute of Electrical and Electronics Engineers, the American Institute for Medical and Biological Engineering, [4] the Society for Imaging Science and Technology, [5] and SPIE. [6] He was formerly the editor-in-chief of IEEE Transactions on Image Processing. [1]

He is the father of computational imaging scientist Katie Bouman.

Fusing Sensor Models with Machine Learning Models

Bouman is the lead author of what has been described as a "Plug-n-Play" method for fusing sensor models and machine-learning models for joint optimization of the two for the generation of images from noisy and incomplete projection data. [7]

References

  1. ^ a b "Charles A. Bouman Short Bio". Purdue University College of Engineering. Retrieved December 28, 2019.
  2. ^ Bangert, Dave (April 10, 2019). "That first-ever black hole picture? A West Lafayette grad played a big part". Journal & Courier. Retrieved December 28, 2019.
  3. ^ "Professor Charles Bouman elected Fellow of National Academy of Inventors". Purdue University. December 17, 2015. Retrieved December 28, 2019.
  4. ^ "Fellow Directory". American Institute for Medical and Biological Engineering. Retrieved December 28, 2019.
  5. ^ "Fellowship". Society for Imaging Science and Technology. Retrieved December 28, 2019.
  6. ^ "Prof. Charles A. Bouman". SPIE. Retrieved December 28, 2019.
  7. ^ "Plug-and-Play: A General Approach for the Fusion of Sensor and Machine Learning Models".



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