Evangelos Papalexakis

Evangelos Papalexakis
Born
Athens, Greece
Alma mater
OccupationComputer scientist
Websitewww.cs.ucr.edu/~epapalex/

Evangelos E. Papalexakis, also known as Vagelis Papalexakis,[1] is a Greek computer scientist. He is the Ross Family Term Chair in the department of computer science and engineering at the University of California, Riverside.[2][3]

Papalexakis was born in Athens.[1] In 2010, he received a diploma in electronic and computer engineering from the Technical University of Crete in Greece. He received an M.Sc. degree from the same university in 2011. From 2011 to 2016, he completed his Ph.D. degree at Carnegie Mellon University.[4] His research interests include data mining and tensor decomposition,[1][5] crossing the fields of signal processing and data science.[3]

Papalexakis worked for Microsoft Research and Google Research before joining UC Riverside in 2016.[4] In 2021, he was awarded the National Science Foundation CAREER Award.[6] The same year, the International Conference on Data Science and Advanced Analytics, sponsored by the Institute of Electrical and Electronics Engineers, named him a "next generation data scientist".[7] he also received the 2022 Tao Li Award of the IEEE International Conference on Data Mining.[8] He was named to the Ross Family Chair in 2024.[9]

References

  1. 1 2 3 "Vagelis Papalexakis: Ross Family Chair and Full Professor". University of California, Riverside. Retrieved 2026-06-01.
  2. ↑ "CSE Faculty". Computer Science and Engineering. University of California, Riverside. Retrieved 2026-06-01.
  3. 1 2 "Evangelos Papalexakis". UCR Profiles. University of California, Riverside. Retrieved 2026-06-01.
  4. 1 2 Papalexakis, Evangelos (September 14, 2017). "Curriculum Vitae: Evangelos E. Papalexakis". Retrieved 2026-06-01.
  5. ↑ "Evangelos (Vagelis) Papalexakis". Carnegie Mellon Database Group. Carnegie Mellon University. Retrieved May 25, 2026.
  6. ↑ "Award Details". NSF Award Search. U.S. National Science Foundation. Retrieved 2026-06-01.
  7. ↑ "DSAA Awards". Data Science and Advanced Analytics. IEEE. Retrieved 2026-06-01.
  8. ↑ "ICDM Tao Li Award 2022". Xingquan (Hill) Zhu. Florida Atlantic University. Retrieved 2026-06-01.
  9. ↑ "Data Driven". Marlan and Rosemary Bourns College of Engineering. University of California, Riverside. August 16, 2024. Retrieved 2026-06-01.
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