Research Interests:
Human behavior is a complex and constantly changing phenomenon with a large variability of expressions. It is affected by the individuals’ personal traits and the external stimuli from the interacting environment. Signal processing techniques can provide efficient and robust measures to help quantify and understand both typical and atypical contextualizations of human behavior. My research interests lie in the area of Behavioral Signal Processing (BSP) targeting to develop informative models of behavioral data from overt (speech, language) but also covert (physiology) cues using machine learning and signal processing techniques.
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