Thu Apr 3 04:44:52 PM -03 2025

Research Group

List of Publications

Topics of Research

  • efficient numerical computation (low-complexity, low-power methods) for signal processing and neural networks
  • approximation methods (focus on DSP building blocks and statistical estimators)
    • approximation theory for discrete transforms (e.g., DFT, DCT, DHT, KLT, etc)
    • approximate numerical analysis
    • approximate inference (detection and estimation)
    • computationally-constrained estimation
  • fast algorithms for signal image/video processing
  • statistical analysis of the fast algorithms
  • low-power, low-complexity circuitry design
  • image compression
  • non-conventional approaches for spectral estimation (arithmetic transforms, S-by-P, not-so-poor-man’s, etc)
  • signal analysis theory (Fourier-, wavelet-, and polynomial-based methods)
  • statistical signal processing
  • sampling (including the non-uniform) and interpolation methods
  • probability distributions and entropies
  • random number generation
  • Gaussian integers and probability
  • ethical foundations of artificial intelligence
  • ethics of intellectual property
  • signal processing for telecommunications (remote sensing, beamforming, OFDM, etc)
  • biomedical signal processing
  • finite fields in engineering

In statistical jargon, our research is a combination of the following:

Former Topics of Research

  • watermarking (robust wavelet-based and fragile NTT-based)

For Prospective Graduate Students

It is expected that you have:

  • skills to write code for numerical computation;
  • control of higher mathematics;
  • English language skills (reading proficiency at least);
  • excellent writing and organizational skills;
  • general interest in my research topics (check my published papers out).

If you are interested, drop me a line; you will be most welcome.

Journal Impact Factor

Reviewing Experience