Teaching: Probability and Statistics – Object Oriented Programming (Java & Python) – Artificial Intelligence – Linux OS.
Research Topics: Machine Learning, Statistical Signal Processing.
EMD-based filtering using similarity measure between probability density functions of IMFs
Speech enhancement using empirical mode decomposition and the Teager–Kaiser energy operator
Low-latency speaker spotting with online diarization and detection.
Ali Komaty received his Engineering degree from the Lebanese University in 2009, the M.S. degree in signal processing from the Université de Bretagne Occidentale (UBO), Brest, France,
in 2010, and the Ph.D. degree from the French Naval Academy Research Institute (IRENav), in Brest, France in 2014.
In 2015, he was a postdoctoral researcher at ENSTA-Bretagne, in collaboration with the university of California at San Diego.
From 2016 until 2018, he was a postdoctoral researcher at Idiap research institute, Martigny, Switzerland.
Currently, he is assistant professor at University of Sciences and Arts in Lebanon (USAL). His research interests are in Speaker Recognition, Empirical Mode Decomposition and Signal Denoising/Filtering.