Alan Yuille

Last updated
Alan L. Yuille
AlanYuille.jpg
Born1955
London, UK
NationalityAmerican, English, Australian
Alma mater University of Cambridge (B.A., 1976)
University of Cambridge (Ph.D., 1981)
SpouseSeyoun Park
Scientific career
Fields Computer Vision
Machine Learning
Statistical Modeling
Artificial Intelligence
Thesis Topics in Quantum Gravity
Doctoral advisor S. W. Hawking
Website CCVL Group website

Alan Yuille (born 1955) is a Bloomberg Distinguished Professor of Computational Cognitive Science [1] with appointments in the departments of Cognitive Science [2] and Computer Science [3] at Johns Hopkins University. Yuille develops models of vision and cognition for computers, intended for creating artificial vision systems. [1] He studied under Stephen Hawking at Cambridge University on a PhD in theoretical physics, which he completed in 1981.

Contents

Biography

Alan Yuille obtained a Bachelor of Arts degree in mathematics from the University of Cambridge in 1976, where he also earned his PhD in theoretical physics in 1981. [3] He then completed a postdoctoral fellowship at the University of Texas at Austin and the University of California, Santa Barbara. Yuille served as a research scientist first at the Artificial Intelligence Laboratory at the Massachusetts Institute of Technology, where he stayed from 1982 until 1986, and then at Harvard University. Here, he was promoted to assistant professor of computer science in 1988 and associate professor in 1992. In 1995, he joined the Smith-Kettlewell Eye Research Institute in San Francisco as a senior research scientist. In 2002, he was appointed as a full professor in the department of statistics at the University of California, Los Angeles with joint appointments in the departments of computer science, psychiatry, and psychology. [4] He also served as co-director of the UCLA Center for Cognition, Vision, and Learning. [5] In 2016, Yuille joined Johns Hopkins University as the Bloomberg Distinguished Professor of Computational Cognitive Science. [6] The Bloomberg Distinguished Professorship program was established in 2013 by a gift from Michael Bloomberg to endow professors whose areas of expertise bridge traditional academic disciplines and promote cross-disciplinary research and collaboration. [7] [8] Yuille holds appointments in the department of cognitive science in the Zanvyl Krieger School of Arts and Sciences and in the department of computer science in the Whiting School of Engineering. [1]

Research

Yuille develops mathematical models of vision and cognition that enable computers to reconstruct three-dimensional structures based on images or videos. [6] His research interests include computational models of vision, mathematical models of cognition, medical image analysis, and artificial intelligence and neural networks. [3] He directs the Computational Cognition, Vision, and Learning (CCVL) research group at Johns Hopkins University. [2] Yuille and the CCVL develop models for designing artificial vision systems to provide assistance for people with vision impairments; [9] computational models of biological vision; [10] computational models of cognition to study how humans and animals perform tasks such as learning and reasoning; [11] [12] and models for machine learning to interpret medical images. [13]

Yuille is currently working on The Felix Project (named after the fictional potion Felix Felicis, which, in the world of Harry Potter, brings drinkers unusually good luck). The project aims to use deep learning to improve early detection of pancreatic cancer by training computers to recognize it in CT scans and magnetic resonance images. [14] [15] Yuille and collaborators are attempting to develop algorithms to interpret CT and MR images of the pancreas and distinguish between a normal pancreas and a pancreas with a range of pathologies including tumors. [16]

Awards

Publications

Yuille has over 300 publications including three books (one co-edited). He has more than 65,000 citations in Google Scholar and an h-index of 139. [17]

Books

Highly cited articles (more than 1200 citations)

Related Research Articles

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References

  1. 1 2 3 "Bloomberg Distinguished Professorships | Alan Yuille". Johns Hopkins Office of Research. 8 September 2016.
  2. 1 2 "Cognitive Science Faculty Page".
  3. 1 2 3 "Computer Science Faculty Page".
  4. 1 2 "Alan Yuille". IEEE Explore Digital Library. Retrieved 3 February 2020.
  5. ↑ "Statistics professors' paper awarded for impact in field of computer vision". UCLA. Retrieved 2020-03-03.
  6. 1 2 Brooks, Kelly (2015-07-08). "Four new Bloomberg Distinguished Professors named at Johns Hopkins". The Hub. Retrieved 2020-03-03.
  7. ↑ "Michael R. Bloomberg Commits $350 Million to Johns Hopkins for Transformational Academic Initiative « News from The Johns Hopkins University" . Retrieved 2020-03-03.
  8. ↑ "Michael R. Bloomberg commits $350 million to Johns Hopkins for transformational academic initiative". The Hub. 2013-01-26. Retrieved 2020-03-03.
  9. ↑ Zhuowen Tu; Xiangrong Chen; Yuille; Zhu (2003). "Image parsing: Unifying segmentation, detection, and recognition". Proceedings Ninth IEEE International Conference on Computer Vision. IEEE. pp. 18–25 vol.1. doi:10.1109/iccv.2003.1238309. ISBN   0-7695-1950-4. S2CID   37907570.
  10. ↑ Tu, Zhuowen; Yuille, Alan L. (2004), "Shape Matching and Recognition – Using Generative Models and Informative Features", Computer Vision - ECCV 2004, Lecture Notes in Computer Science, vol. 3023, Springer Berlin Heidelberg, pp. 195–209, doi: 10.1007/978-3-540-24672-5_16 , ISBN   978-3-540-21982-8
  11. ↑ Chater, Nick; Tenenbaum, Joshua B.; Yuille, Alan (July 2006). "Probabilistic models of cognition: Conceptual foundations". Trends in Cognitive Sciences. 10 (7): 287–291. doi:10.1016/j.tics.2006.05.007. ISSN   1364-6613. PMID   16807064. S2CID   7547910.
  12. ↑ Lu, Hongjing; Yuille, Alan L.; Liljeholm, Mimi; Cheng, Patricia W.; Holyoak, Keith J. (2008). "Bayesian generic priors for causal learning". Psychological Review. 115 (4): 955–984. doi:10.1037/a0013256. ISSN   1939-1471. PMID   18954210. S2CID   10871785.
  13. ↑ Corso, J.J.; Sharon, E.; Dube, S.; El-Saden, S.; Sinha, U.; Yuille, A. (May 2008). "Efficient Multilevel Brain Tumor Segmentation With Integrated Bayesian Model Classification". IEEE Transactions on Medical Imaging. 27 (5): 629–640. doi:10.1109/tmi.2007.912817. ISSN   0278-0062. PMID   18450536. S2CID   2018752.
  14. ↑ "For Some Hard-To-Find Tumors, Doctors See Promise In Artificial Intelligence". NPR.org. Retrieved 2020-03-03.
  15. ↑ "Innovator Honored with Endowed Professorship". Johns Hopkins Center for Innovative Medicine. Retrieved 2020-03-03.
  16. ↑ Lugo-Fagundo, Carolina; Vogelstein, Bert; Yuille, Alan; Fishman, Elliot K. (2018-02-01). "Deep Learning in Radiology: Now the Real Work Begins". Journal of the American College of Radiology. 15 (2): 364–367. doi: 10.1016/j.jacr.2017.08.007 . ISSN   1546-1440. PMID   29290592.
  17. ↑ "Alan Yuille". scholar.google.com. Retrieved 2021-05-19.
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