Farinaz Koushanfar
Education
AwardsIEEE Fellow
Scientific career
Institutions
ThesisEnsuring data integrity in sensor-based networked systems (2005)
Doctoral advisor
Websitefarinaz.eng.ucsd.edu

Farinaz Koushanfar is an Iranian-American computer scientist[1] whose research concerns embedded systems, ad-hoc networks, and computer security. She is a professor and Henry Booker Faculty Scholar of Electrical and Computer Engineering at the University of California, San Diego.[2]

Education and career

Koushanfar obtained her bachelor's degree in electrical engineering from Sharif University of Technology (BSEE 1998), a master's degree in electrical engineering and computer science from the University of California, Los Angeles in 2000, and a second master's degree in statistics and Ph.D. in electrical engineering and computer science from the University of California, Berkeley in 2005,[2] with the dissertation Ensuring data integrity in sensor-based networked systems jointly supervised by Alberto Sangiovanni-Vincentelli and Miodrag Potkonjak.[3][4]

After postdoctoral research at the University of Illinois Urbana-Champaign, she joined the faculty of Rice University in 2006. She moved to her present position in San Diego in 2015.[2]

Recognition

In 2008, Koushanfar was listed in the MIT Technology Review "35 Innovators Under 35" for her work using random variation in integrated circuits as a device fingerprint allowing manufacturers to validate the authenticity of devices.[5] Her 2008 paper "Lightweight Secure PUFs" was given the Ten Year Retrospective Most Influential Paper Award in 2017 at the International Conference on Computer Aided Design.[6]

She was named a Presidential Early Career Award for Scientists and Engineers in 2010[7] and an IEEE Fellow in 2019, "for contributions to hardware and embedded systems security and to privacy-preserving computing".[8] She was named to the 2022 class of ACM Fellows, "for contributions to secure computing and privacy-preserving machine learning".[9]

Selected publications

  • Meguerdichian, Seapahn; Koushanfar, Farinaz; Qu, Gang; Potkonjak, Miodrag (2001-07-16). "Exposure in wireless Ad-Hoc sensor networks". Proceedings of the 7th annual international conference on Mobile computing and networking. MobiCom '01. New York, NY, USA: Association for Computing Machinery. pp. 139–150. doi:10.1145/381677.381691. ISBN 978-1-58113-422-3. S2CID 1930412.
  • Koushanfar, F.; Potkonjak, M.; Sangiovanni-Vincentell, A. (2002). "Fault tolerance techniques for wireless ad hoc sensor networks". Proceedings of IEEE Sensors. Vol. 2. pp. 1491–1496 vol.2. doi:10.1109/ICSENS.2002.1037343. ISBN 0-7803-7454-1. S2CID 1437073. {{cite book}}: |journal= ignored (help)
  • Majzoobi, Mehrdad; Koushanfar, Farinaz; Potkonjak, Miodrag (2008). "Lightweight secure PUFs". 2008 IEEE/ACM International Conference on Computer-Aided Design. pp. 670–673. doi:10.1109/ICCAD.2008.4681648. ISBN 978-1-4244-2819-9. S2CID 12674609.
  • Tehranipoor, Mohammad; Koushanfar, Farinaz (2010). "A Survey of Hardware Trojan Taxonomy and Detection". IEEE Design & Test of Computers. 27 (1): 10–25. doi:10.1109/MDT.2010.7. ISSN 1558-1918. S2CID 206459491.

Resources

  1. Memarian, Jahandad (July 16, 2018). "Farinaz Koushanfar: A Pioneer in Machine-Integrated Computing and Security". Iranian Americans’ Contributions Project via Medium.
  2. 1 2 3 "Curriculum vitae". Retrieved 2021-10-02.
  3. Sangiovanni-Vincentelli, Alberto L. "Ph.D. Dissertations". University of California, Berkeley. Retrieved 2021-10-03.
  4. Farinaz Koushanfar at the Mathematics Genealogy Project
  5. Savage, Neil (2008). "Farinaz Koushanfar, 32: Locking microchips to prevent piracy". Innovator under 35. MIT Technology Review.
  6. "Award recipients 2017". ICCAD. Retrieved 2021-10-02.
  7. "Eight ONR-funded Scientists Among Those Recognized by U.S. President". December 1, 2010. Retrieved October 2, 2021.
  8. "IEEE Fellows directory". Retrieved 2021-10-02.
  9. "Global computing association names 57 fellows for outstanding contributions that propel technology today". Association for Computing Machinery. January 18, 2023. Retrieved 2023-01-18.
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