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Slavakis' photo Latest News

Move to another institute is underway...

Paper on sequential clustering in Riemannian manifolds for time-series-annotated multilayer networks has been accepted for publication in the IEEE Open Journal of Signal Processing.


Former Associate Professor
Department of Electrical Engineering
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.