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Research Interests

My research bridges signal processing and data science through designing and developing scalable and interpretable algorithms for mining big multi-aspect data, and applying those algorithms into real-world problems, achieving superior performance, and obtaining valuable insights that can drive scientific discovery.

For more details, check out my Research Statement.

Download my CV

Contact

Email

  • epapalexcs dot cmu dot edu
  • vagelis.papalexakisgmail dot com
  • vag_papalexyahoo dot gr

Location

GHC 9219
Computer Science Department
Carnegie Mellon University
5000 Forbes Avenue
Pittsburgh, PA 15213
USA

Web Presence

You can download a .pdf of my CV here.

Education

Graduate Coursework

@ CMU

Computer Networks, Spectral Graph Theory and Numerical Linear Algebra, Multimedia Databases and Data Mining (audit), Graduate Algorithms, Semantics of Programming Languages, Information Processing & Learning, Social Media Analysis, Computer Architecture, Introduction to Machine Learning.

@ TUC

Detection & Estimation Theory, Convex Optimization, Approximate Methods for Very Large Datasets, Analysis & Design (Synthesis) of Telecom Modules

Academic & Research Experience