Cannabaceae

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Elham Tabassi
EducationSharif University of Technology, Santa Clara University
Occupation(s)Engineer, U.S. government leader
Organization(s)National Institute of Standards and Technology (NIST), National Artificial Intelligence (AI) Research Resource Task Force
HonoursTime100 Most Influential People in AI
Websitehttps://www.nist.gov/people/elham-tabassi
Elham Tabassi, a NIST electronics engineer, is working to develop a statistical measure of uncertainty for fingerprint decisions.

Elham Tabassi is an engineer and government leader.[1] She was listed on the inaugural TIME100 Most Influential People in AI. Tabassi led the creation of the United States Artificial Intelligence Risk Management Framework,[2] adopted by both industry and government.[3] Tabassi was selected to serve on the National Artificial Intelligence (AI) Research Resource Task Force.[4] Tabassi began her career in government at the National Institute of Standards and Technology, pioneering various machine learning and computer vision projects with applications in biometrics evaluation and standards, included in over twenty five publications.[5] Her research has been deployed by the FBI and Department of Homeland Security.[6]

Early life and education[edit]

Inspired early in life by an aunt who studied at the Sharif University of Technology, Tabassi attended the same university and earned an degree in electrical engineering. She later attended Santa Clara University for a master's degree in electrical and electronics engineer.[7]

Career[edit]

Tabassi joined the National Institute of Standards and Technology in 1999, where she has worked on machine learning and computer vision research projects with applications in biometrics evaluation and standards.[8] She has held roles as Electronics Engineer, Senior Research Scientist, Chief of Staff and Associate Director of Emerging Technologies for the Information Technology Laboratory.

She has been a member of the National AI Resource Research Task Force, Vice-Chair of OECD working party on AI Governance, Associate Editor of IEEE Transaction on Information Forensics and Security, and a fellow of Washington Academy of Sciences.[9]

The United States AI Safety Institute was created in 2024, and Tabassi was appointed as the Chief Technology Officer, responsible for leading key technical programs of the institute, focused on supporting the development and deployment of AI that is safe, secure and trustworthy.[10]

Honors[edit]

  • Washington Academy of Sciences, Excellence in Research in Computer Science, 2022[11]
  • Time100 Most Influential in AI, 2023[12]
  • Women in Biometrics Award, biometrics, 2016
  • ANSI's Next Generation Award, biometrics, 2012
  • Department of Commerce Bronze Medal, innovations in fingerprint analysis, 2007
  • Department of Commerce Bronze Medal, biometrics 2010
  • Department of Commerce Gold Medal, innovations in fingerprint analysis, 2003[13]

References[edit]

  1. ^ "Elham Tabassi". NIST. 2019-05-07.
  2. ^ "AI Risk Management Framework". NIST. 2021-07-12.
  3. ^ "Perspectives about the NIST Artificial Intelligence Risk Management Framework". NIST. 2023-01-23.
  4. ^ "ITL Chief of Staff Elham Tabassi to serve on newly formed National AI Research Resource Task Force". NIST. 2021-06-16.
  5. ^ "Publications". NIST.
  6. ^ "TIME100 AI 2023: Elham Tabassi". Time. 2023-09-07. Retrieved 2023-10-09.
  7. ^ Trader, Tiffany (2021-08-05). "Careers in Cybersecurity Featured at PEARC21 - If you're bored, something's wrong!". HPCwire. Retrieved 2023-10-07.
  8. ^ "Elham Tabassi". asiatechxsg.com. Retrieved 2023-10-09.
  9. ^ "ITL Chief of Staff Elham Tabassi to serve on newly formed National AI Research Resource Task Force". NIST. 2021-06-16.
  10. ^ "U.S. Commerce Secretary Gina Raimondo Announces Key Executive Leadership at U.S. AI Safety Institute". U.S. Department of Commerce. 2024-02-07. Retrieved 2024-02-18.
  11. ^ "Awards Ceremony 2020 | Washington Academy of Sciences". Retrieved 2023-10-07.
  12. ^ "TIME100 AI 2023: Elham Tabassi". Time. 2023-09-07. Retrieved 2023-10-07.
  13. ^ ieeexplore.ieee.org https://ieeexplore.ieee.org/author/37295481800. Retrieved 2023-10-07. {{cite web}}: Missing or empty |title= (help)
source: https://en.wikipedia.org/wiki/Elham_Tabassi

One thought on “Cannabaceae”

  1. Well, that’s interesting to know that Psilotum nudum are known as whisk ferns. Psilotum nudum is the commoner species of the two. While the P. flaccidum is a rare species and is found in the tropical islands. Both the species are usually epiphytic in habit and grow upon tree ferns. These species may also be terrestrial and grow in humus or in the crevices of the rocks.
    View the detailed Guide of Psilotum nudum: Detailed Study Of Psilotum Nudum (Whisk Fern), Classification, Anatomy, Reproduction

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