David S. Ebert

David S. Ebert is a computer scientist, holding the position of Silicon Valley Professor of Electrical and Computer Engineering Department at Purdue University. His research focuses on computer graphics and visualization. Currently, he is the director of U.S. DHS Center of Excellence (COE) in Visual Analytics (VACCINE).[1] and Center for Education and Research in Information Assurance and Security (CERIAS)[2]

Education

He received his Ph.D., master, and bachelor degrees in Computer Science from Ohio State University in 1991, 1987, 1986 respectively.

Career

He joined Purdue University as an associate professor in 2000, was promoted to a full professor in 2006.

Publications

  • Ebert DS, Musgrave FK, Peachey D, Perlin K, Worley S. Texturing & modeling: a procedural approach. Morgan Kaufmann; 2003. Cited 1438 times according to Google Scholar[3]
  • Zhu F, Bosch M, Woo I, Kim S, Boushey CJ, Ebert DS, Delp EJ. The use of mobile devices in aiding dietary assessment and evaluation. IEEE journal of selected topics in signal processing. 2010 May 27;4(4):756-66. Cited 311 times according to Google Scholar [3]
gollark: A monad is just a monoid in the category of endofunctors, silly people.
gollark: Stabler *maybe*, and they definitely add features, but it gets worse perf-wise.
gollark: They generally manage to simultaneously worsen both CPU and RAM use.
gollark: Minecraft absolutely does *not* get more efficient every version.
gollark: "Hmm, people are annoyed at getting up times they do not like. Maybe we should just tell them to wake up and sleep at different times. Or change working hours. No, the best solution is clearly to meddle with the fabric of time itself."

References

  1. "VACCINE - Purdue University". Retrieved 9 November 2019.
  2. "CERIAS - Center for Education and Research in Information Assurance and Security - Purdue University". Retrieved 9 November 2019.
  3. "User profiles for DS Ebert". Google Scholar. Retrieved May 8., 2020. Check date values in: |access-date= (help)
This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.