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Tadayoshi Kohno is an American professor in the fields of data and computer security. He is the Associate Director of Diversity, Equity, Inclusion & Access, and Professor of Computer Science & Engineering at the Paul G. Allen School of Computer Science & Engineering at the University of Washington.[1]
He is a Fellow of the Institute of Electrical and Electronics Engineers,[2][3] a member of the Electronic Frontier Foundation Technical Advisory Board,[4] and was an inaugural member of the Cyber Resilience Forum within the National Academies of Sciences, Engineering, and Medicine.[5]
Education and career
editKohno earned his bachelor of science degree from University of Colorado and his Ph.D. from University of California San Diego.[6]
Kohno is a professor in the Paul G. Allen School of Computer Science & Engineering;[7] adjunct professor in the school of Electrical and Computer Engineering, the School of Information, and the School of Law; associate director for Diversity, Equity, Inclusion, and Access in the Allen School; co-director of the Security & Privacy Research Lab; and co-director of the Tech Policy Lab.
Fiction work
editAwards
edit- Technology Review TR-35 Award (2007)[11]
- Alfred P. Sloan Research Fellowship (2008)[12]
- IEEE S&P Test of Time Award for his work initiating the modern field of medical device computer security (2019)[13][14]
- IEEE S&P Test of Time Award for his work initiating the modern field of automotive computer security (2020)[15][16]
- ACSAC Test of Time Award (2019)[17]
- AAAS Golden Goose Award (2021), an award managed by the American Association for the Advancement of Science with bipartisan Congressional support;[18] awarded for his work establishing the modern field of automotive computer security[19][20][21]
- Allen School ACM Teaching Award (2022)[22]
Research
edit- "Neurosecurity: security and privacy for neural devices," Tamara Denning B.S., Yoky Matsuoka Ph.D., and Tadayoshi Kohno Ph.D., Journal of Neurosurgery.[23] This work coined the term "neurosecurity."
- "Improving the Security and Privacy of Implantable Medical Devices," William H. Maisel, M.D., M.P.H., and Tadayoshi Kohno, Ph.D., New England Journal of Medicine[24]
- "Driverless: Who Is In Control?" Science Museum in London[25]
References
edit- ^ "Faculty Leadership | Paul G. Allen School of Computer Science & Engineering".
- ^ IEEE
- ^ "Allen School professors Tadayoshi Kohno and Rajesh Rao named IEEE Fellows for pioneering new directions in computing research".
- ^ "Security Expert Tadayoshi Kohno Joins EFF Advisory Board". 18 May 2020.
- ^ https://www.nationalacademies.org/_cache_8b87/content/2015-cyberforum-annual-report-4885770000053945.pdf
- ^ "Tadayoshi Kohno (aka Yoshi Kohno)". homes.cs.washington.edu.
- ^ https://www.cs.washington.edu/people/faculty
- ^ "Telling Stories | Tech Policy Lab".
- ^ "Q&A with Tadayoshi Kohno: In his new novella 'Our Reality,' Allen School professor invites readers to consider who benefits (And who doesn't) from technology".
- ^ "CSDL | IEEE Computer Society".
- ^ http://www2.technologyreview.com/tr35/?year=2007
- ^ https://sloan.org/storage/app/media/files/annual_reports/2008_annual_report_vf.pdf
- ^ "IEEE Symposium on Security and Privacy 2019". www.ieee-security.org.
- ^ "Groundbreaking study that served as the foundation for securing implantable medical devices earns IEEE Test of Time Award".
- ^ "IEEE Symposium on Security and Privacy 2020".
- ^ "UW and UCSD researchers earn Test of Time Award for driving automobile security in new directions".
- ^ "Test of Time Awards - Annual Computer Security Applications Conference (ACSAC)". www.acsac.org.
- ^ "History".
- ^ "Awardees". The Golden Goose Award.
- ^ ""They were very unsure what to do with us": How Golden Goose Award-winning researchers at UW and UCSD put the brakes on automobile cybersecurity threats and transformed an industry".
- ^ "2021: The Fast and the Curious". 22 September 2021.
- ^ "ACM Teaching Award | Paul G. Allen School of Computer Science & Engineering". www.cs.washington.edu.
- ^ Denning, Tamara; Matsuoka, Yoky; Kohno, Tadayoshi (July 1, 2009). "Neurosecurity: security and privacy for neural devices". Neurosurgical Focus. 27 (1): E7. doi:10.3171/2009.4.FOCUS0985. PMID 19569895 – via thejns.org.
- ^ https://homes.cs.washington.edu/~yoshi/papers/IMD/NEJM-Maisel-Kohno.pdf
- ^ "In London? See our work on Adversarial Machine Learning at the Science Museum – Security and Privacy Research Lab". August 6, 2019.