Nicholas Tsagkarakis

Ph.D. Candidate / Research Assistant

Signals, Communications, and Networking Research Group
Electrical Engineering Department
University at Buffalo, The State University of New York

Office: 230R Davis Hall, University at Buffalo, Buffalo, NY 14260 - 1920
Phone: +1 (716) 645-1207
Email: ntsagkar at buffalo dot edu
ResearchGate

Summary

I am a Ph.D. candidate and Research Assistant at the Department of Electrical Engineering of University at Buffalo, The State University of New York (UB). My academic and research advisor is Professor Dimitris A. Pados.

I obtained my M.Sc. degree, in Electronic and Computer Engineering, from UB, in January 2013. Prior to joining UB, I obtained my Diploma in Electronic and Computer Engineering (5-year program) from the Technical University of Crete, working under the guidance of Associate Professor George N. Karystinos.

Education

  • Ph.D. (4.5 years) in Electrical Engineering,
    Department of Electrical Engineering, School of Engineering and Applied Sciences, University at Buffalo, The State University of New York, expected May 2017.
  • M.Sc. (1.5 years) in Electrical Engineering,
    Department of Electrical Engineering, School of Engineering and Applied Sciences, University at Buffalo, The State University of New York, January 2013.
  • Engineering Diploma (5-year program) in Electronic and Computer Engineering,
    School of Electronic and Computer Engineering, Technical University of Crete, Greece, July 2011.

Research

  • Signal Processing and Data Analysis (theory and algorithms): Real-world signal processing (corrupted data), big data analytics, compressive sensing, dimensionality and sample-size reduction, pattern analysis, machine learning, direction finding, L 1 -norm principal-component analysis.
  • Communication Theory and Systems: Adaptive receivers for active interference suppression in multiple-access channels, cognitive channelization (signal waveform design) for multiuser wireless communication networks, spread-spectrum communications.
  • Information Theory and Error Correcting Codes : Reliable storing and communicating data, efficient implementation of channel coding and decoding algorithms, block codes design, security.
  • Optimization Algorithms: Adaptive statistical optimization, combinatorics, computational geometry, optimal and approximate algorithms for challenging optimization problems.

Research Awards

  • Student Tavel Grant Award, SPIE DSS 2014.
    "Direction finding with L1-norm subspaces," P. P. Markopoulos, N. Tsagkarakis, G. N. Karystinos, and D. A. Pados.






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Webpage updated on 4/1/2015