Ruzena Bajcsy

Ruzena Bajcsy
Born (1933-05-28) May 28, 1933
Bratislava, Czechoslovakia
Residence United States
Nationality American
Fields Electrical Engineering and Computer Science
Institutions University of California, Berkeley; University of Pennsylvania;
Alma mater Stanford; Slovak Technical University
Doctoral advisor John McCarthy
Known for Artificial intelligence; Computer Vision; Robotics; Sensor Networks; Control; Biosystems; General Robotics and Active Sensory Perception Laboratory
Notable awards Benjamin Franklin Medal (2009)
ACM Distinguished Service Award (2003)
Computing Research Association Distinguished Service Award (2003)
ACM/AAAI Allen Newell Award (2001)
IEEE Robotics and Automation Award (2013)

Ruzena Bajcsy (born 1933 in Bratislava, Czechoslovakia[1]) is an American computer scientist who specializes in robotics. She is Professor of Electrical Engineering and Computer Science at the University of California, Berkeley,[2] where she is also Director Emerita of CITRIS (the Center for Information Technology Research in the Interest of Society).

She was previously Professor and Chair of Computer Science and Engineering at the University of Pennsylvania, where she was the founding Director of the University of Pennsylvania's General Robotics and Active Sensory Perception (GRASP) Laboratory, and a member of the Neurosciences Institute in the School of Medicine. She has also been head of the National Science Foundation's Computer and Information Science and Engineering Directorate, with authority over a $500 million budget. At Pennsylvania, she supervised at least 26 doctoral students who received the Ph.D.[3]

Early life

Bajcsy was born in 1933 in Czechoslovakia to a Jewish family. Although her family was initially spared from Nazi concentration camps due to her father's work as a civil engineer, most of her adult relatives were killed by the Nazis in late 1944. Bajcsy and her sister, the only survivors in the immediate family, were supported as war orphans by the Red Cross; Bajcsy was later raised in orphanages and in foster care. A strong student in mathematics, she has said that she chose instead to study electrical engineering as a university student because the career prospects for mathematics students at the time led to teaching, which in Communist Eastern Europe required a commitment to Marxist-Leninist ideology that she was unwilling to provide.[1]

Education

She got Master's and Ph.D. degrees in electrical engineering from Slovak Technical University in 1957 and 1967, and an additional Ph.D. in computer science in 1972 from Stanford University. Her thesis was "Computer Identification of Textured Visual Scenes", and her advisor was John McCarthy.[3]

In 2001, she received an honorary doctorate from the University of Ljubljana in Slovenia. From 2003–05, she was a member of the President's Information Technology Advisory Committee. The November 2002 issue of Discover named her to its list of the 50 most important women in science.[4] In 2012, she received honorary doctorate degrees from the University of Pennsylvania and KTH, The Royal Institute of Technology in Sweden.[5]

Writings

She has written over 225 articles in journals and conference proceedings, 25 book chapters, and 66 technical reports and has been on many editorial boards.

Current research

Her current research centers on artificial intelligence; biosystems and computational biology; control, intelligent systems, and robotics; graphics and human-computer interaction, computer vision; and security.

Memberships

Bajcsy is a member of the National Academy of Engineering[6] and the National Academy of Sciences Institute of Medicine[7] as well as a Fellow of the Association for Computing Machinery (ACM),[8] the Institute of Electrical and Electronics Engineers,[9] the American Association for Artificial Intelligence,[10] and the American Academy of Arts and Sciences.[11]

Awards

Bajcsy received the Association for Computing Machinery (ACM)/Association for the Advancement of Artificial Intelligence Allen Newell Award in 2001, the ACM Distinguished Service Award in 2003, and the Computing Research Association Distinguished Service Award in 2003.

Bajcsy's most current research has helped her gain recognition from The Franklin Institute in Philadelphia. Ruzena Bajcsy received the 2009 Benjamin Franklin Medal in Computer and Cognitive Science for her innovations in robotics and computer vision, specifically the development of improved robotic perception and the creation of better methods to analyze medical images.

Bajcsy has been named by the IEEE Board of Directors the recipient of the 2013 IEEE Robotics and Automation Award for her contributions in the field of robotics and automation with the following citation: "For contributions to computer vision, the active perception paradigm, and medical robotics".[12]

References

  1. 1 2 Bajcsy, Ruzena (9 July 2002). Oral History: Ruzena Bajcsy. IEEE History Center Oral History Program. Interview with Janet Abbate. Berkeley, California, United States.
  2. Ruzena Bajcsy official page, EECS, College of Engineering, UC Berkeley, USA.
  3. 1 2 Mathematics Genealogy Project.
  4. Discover, November 2002.
  5. "NEWSLETTER NOVEMBER 2012" (PDF). KTH Royal Institute of Technology – Sweden. Retrieved 21 Dec 2012.
  6. "Dr. Ruzena K. Bajcsy Profile on NAE". National Academy of Engineering. Retrieved 21 Dec 2012.
  7. "Directory: IOM Member – Ruzena Bajcsy, Ph.D.". Institute of Medicine. Retrieved 21 Dec 2012.
  8. "ACM Fellows". Association of Computing Machinery. Retrieved 21 Dec 2012.
  9. "IEEE Fellows List (B)". Institute of Electrical and Electronics Engineers. Retrieved 21 Dec 2012.
  10. "AAAI Fellows List". American Association for Artificial Intelligence. Retrieved 21 Dec 2012.
  11. "Book of Members, 1780-2010: Chapter B" (PDF). American Academy of Arts and Sciences. Retrieved 5 May 2011.
  12. "IEEE Robotics and Automation Award Recipients" (PDF). IEEE Robotics and Automation Society. Retrieved 21 Dec 2012.

External links

This article is issued from Wikipedia - version of the Wednesday, April 13, 2016. The text is available under the Creative Commons Attribution/Share Alike but additional terms may apply for the media files.