Evangelos E. Papalexakis
Scholar

Evangelos E. Papalexakis

Google Scholar ID: 2P1kinAAAAAJ
Professor and Ross Family Chair, University of California Riverside
Data MiningTensor DecompositionGraph MiningSocial Media MiningAI4Science
Citations & Impact
All-time
Citations
5,558
 
H-index
31
 
i10-index
77
 
Publications
20
 
Co-authors
52
list available
Resume (English only)
Academic Achievements
  • 2017 ACM SIGKDD Dissertation Award (Runner-up).
  • Recipient of the National Science Foundation CAREER Award.
  • 2021 IEEE DSAA Next Generation Data Scientist Award.
  • 2022 ICDM Tao Li Award for excellence in early-career researchers.
  • Published multiple papers at top venues, including two short papers at The Web Conference 2024—one on tensor-based multi-modal news categorization with Seekr, and another introducing a GPT text detection benchmark using tensor methods.
  • Presented work at conferences such as SIAM SDM 2024 and ITA 2024; delivered invited talks at GraphEx 2024 and TrustLOG@WWW workshop.
Research Experience
  • Currently Associate Professor and Ross Family Chair in the Computer Science & Engineering Department at the University of California Riverside.
  • Conducts broad research in data mining, machine learning, and data science.
  • In 2024, co-led an NSF-funded project with The University of Texas Rio Grande Valley: 'Trustworthy AI for Transportation Cyber-Physical Systems'.
  • Co-organized the Data Science Challenge with Lawrence Livermore National Laboratory for the fourth consecutive year.
  • Co-organized the 2024 Data Science High School Summer Camp at UCR.