Edge Rewrite
// HTMLRewriter · presentation

This page was redesigned at the edge.

Cloudflare fetched the original article and streamed it through HTMLRewriter to apply an entirely new visual system without rebuilding the source page.

// request.cf · coarse context

A page that knows where it met you.

Only coarse request metadata is shown. This demo does not display or persist visitor IP addresses.

Country
US
Cloudflare location
CMH
Connection
HTTP/2
Language
Not provided

Ray ID: a2aa2828ba94d96e

Jump to content

// Workers AI · dad joke modeWho's Constantine Caramanis? A constant guy, man.

From Wikipedia, the free encyclopedia
Constantine Caramanis
Born (1977-08-25) August 25, 1977 (age 48)[1]
EducationHarvard University (AB)
Massachusetts Institute of Technology (MS, PhD)
AwardsFellow of the IEEE (2023)
NSF CAREER Award (2011)
Scientific career
FieldsMachine learning, mathematical optimization, high-dimensional statistics
InstitutionsUniversity of Texas at Austin
ThesisAdaptable optimization: theory and algorithms (2006)

Constantine Caramanis (born August 25, 1977)[1] is a professor in the Department of Electrical and Computer Engineering at the University of Texas at Austin, where he holds the Chandra Family Endowed Distinguished Professorship in Electrical and Computer Engineering.[2] His research concerns machine learning, high-dimensional statistics, optimization, and decision-making in large-scale systems.[3]

Education and career

[edit]

Caramanis received an AB in mathematics from Harvard University and MS and PhD degrees in electrical engineering and computer science from the Massachusetts Institute of Technology.[3] His doctoral dissertation, completed in 2006, was titled Adaptable optimization: theory and algorithms.[4] He joined the University of Texas at Austin faculty in 2006.[2]

Research and recognition

[edit]

Caramanis's work includes robust and adaptable optimization, high-dimensional statistics, machine learning, and applications involving communications, transportation, energy, and social networks.[2] In 2011, he received a National Science Foundation CAREER Award for research on high-dimensional statistics and the analysis of corrupted or incomplete data.[5]

Caramanis was elevated to Fellow of the IEEE in the 2023 class for contributions to robust statistics and high-dimensional optimization.[6]

References

[edit]
  1. 1 2 "Standard Resume: Constantine Caramanis" (PDF). University of Texas at Austin. December 16, 2010. Retrieved August 7, 2026.
  2. 1 2 3 "Constantine Caramanis". Texas ECE. University of Texas at Austin. Retrieved August 7, 2026.
  3. 1 2 "Constantine Caramanis". LIDS@80. Massachusetts Institute of Technology. March 29, 2019. Retrieved August 7, 2026.
  4. Caramanis, Constantine (2006). Adaptable optimization: theory and algorithms (PhD thesis). Massachusetts Institute of Technology. Retrieved August 7, 2026.
  5. "UT ECE Professor Constantine Caramanis Receives NSF CAREER Award". Texas ECE. University of Texas at Austin. February 22, 2011. Retrieved August 7, 2026.
  6. "44 SPS members elevated to IEEE Fellow". IEEE Signal Processing Magazine. IEEE Signal Processing Society. March 2023. Retrieved August 7, 2026.
[edit]