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Joined the Editorial Board of Signals (MDPI).

New paper on data recovery on manifolds posted to arXiv.

Associate Professor
Department of Electrical Engineering
University at Buffalo, The State University of New York

Affiliated Faculty member
of the Computational and Data-Enabled Science and Engineering Program
University at Buffalo, The State University of New York


Research Interests

Methods and theory to

"learn from data geometries"

for signal processing, machine learning and data analytics, with applications in a wide variety of areas such as
  • online/stochastic optimization/approximation,
  • network time-series analysis, and
  • biomedical imaging.