Jitendra Malik
From Wikipedia, the free encyclopedia
IIT Kanpur (1980, BTech)
Stanford University (1985, PhD)
- PAMI Distinguished Researcher Award (2013)
- Allen Newell Award (2016)
- IJCAI Award for Research Excellence in AI (2018)
- Computer Pioneer Award (2019)
- Member, National Academy of Sciences
- Member, National Academy of Engineering
- Member, American Academy of Arts and Sciences
Jitendra Malik | |
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| Born | 11 October 1960 |
| Education | St. Aloysius Senior Secondary School IIT Kanpur (1980, BTech) Stanford University (1985, PhD) |
| Known for | Computer vision |
| Awards |
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| Scientific career | |
| Fields | Computer Science |
| Institutions | University of California, Berkeley |
| Doctoral advisor | Thomas Binford |
| Doctoral students |
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| Website | https://people.eecs.berkeley.edu/~malik/ |
Jitendra Malik (born 11 October 1960) is an Indian-American academic who is the Arthur J. Chick Professor of Electrical Engineering and Computer Sciences at the University of California, Berkeley.[1] He is known for his research in computer vision.
Malik was born in Mathura, India, on October 11, 1960.[2] He did his schooling from Jabalpur, at the St. Aloysius Senior Secondary School. He received the BTech degree in electrical engineering from Indian Institute of Technology Kanpur in 1980 and the PhD degree in computer science from Stanford University in 1985. In January 1986, he joined the University of California, Berkeley, where he is currently the Arthur J. Chick Professor in the Computer Science Division, Department of Electrical Engineering and Computer Sciences (EECS).[1] He is also on the faculty of the department of Bioengineering, and the Cognitive Science and Vision Science groups.[1] He served as the chair of the Computer Science Division during 2002–2004 and as the department chair of EECS during 2004–2006 and 2016–2017. Since January 2018, he is also the research director and site lead of Facebook AI Research[3][4] in Menlo Park, where he leads a team of researchers and engineers in computer vision, machine learning and robotics.
