Charles Bouman

{{Short description|American academic}}

{{Infobox scientist

|name = Charles Bouman

|image =

|caption =

|birth_name = Charles Addison Bouman Jr.

|birth_date =

|birth_place =

|death_date =

|death_place =

|nationality = American

|fields = Electrical engineering

|workplaces = Purdue University

|alma_mater = University of Pennsylvania
University of California at Berkeley
Princeton University

|thesis_title = Hierarchical modeling and processing of images

|thesis_url = https://dl.acm.org/citation.cfm?id=915772

|thesis_year = 1989

|doctoral_advisor = Bede Liu

|awards = Raymond C. Bowman Award from the Society for Imaging Science and Technology (2003)

|children = Katie Bouman
Amanda Bouman
Alexander Bouman

}}

Charles Addison Bouman Jr. ({{IPAc-en|ˈ|b|oʊ|m|ə|n}}) 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.{{cite web|url=https://engineering.purdue.edu/~bouman/personal/ShortBio.htm|title=Charles A. Bouman Short Bio |website=Purdue University College of Engineering|accessdate=December 28, 2019}}{{cite news|url=https://www.jconline.com/story/news/2019/04/10/first-black-hole-picture-west-lafayette-grad-played-big-part/3426430002/|title=That first-ever black hole picture? A West Lafayette grad played a big part|author=Bangert, Dave|date=April 10, 2019|work=Journal & Courier|accessdate=December 28, 2019}} 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,{{cite web|url=https://engineering.purdue.edu/ECE/News/2015/professor-charles-bouman-elected-fellow-of-national-academy-of-inventors|title=Professor Charles Bouman elected Fellow of National Academy of Inventors|publisher=Purdue University|date=December 17, 2015|accessdate=December 28, 2019}} as well as a fellow of the Institute of Electrical and Electronics Engineers, the American Institute for Medical and Biological Engineering,{{cite web|url=https://aimbe.org/college-of-fellows/directory/|title=Fellow Directory|publisher=American Institute for Medical and Biological Engineering|accessdate=December 28, 2019}} the Society for Imaging Science and Technology,{{cite web|url=https://www.imaging.org/site/IST/Membership/Honors_and_Awards/Fellowship/IST/Membership/Awards/Fellowship.aspx|title=Fellowship|publisher=Society for Imaging Science and Technology|accessdate=December 28, 2019}} and SPIE.{{cite web|url=https://spie.org/profile/Charles.Bouman-8308?SSO=1|title=Prof. Charles A. Bouman|publisher=SPIE|accessdate=December 28, 2019}} He was formerly the editor-in-chief of IEEE Transactions on Image Processing.

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. {{Cite web|url=https://sinews.siam.org/Details-Page/plug-and-play-a-general-approach-for-the-fusion-of-sensor-and-machine-learning-models|title = Plug-and-Play: A General Approach for the Fusion of Sensor and Machine Learning Models}}

References

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