yvaizman (at) eng.ucsd.edu

I am a Ph.D. candidate at University of California, San Diego (UCSD)
Electrical and Computer Engineering
Supervisor: prof. Gert Lanckriet

My expertise is in Artificial Intelligence and Machine Learning.
In my research I use methods in Machine Learning, Signal Processing, and Optimization to solve problems in various application domains, including audio content representation for music annotation and recommendation, analyzing speech prosody for signs of Schizophrenia and Depression, and acoustic modeling for speech recognition.

My Ph.D. thesis research deals with automatic recognition of detailed behavioral context using everyday devices (smartphones, smartwatches). This research involved collection of a large scale dataset in-the-wild, as well as machine learning models for multi-label context recognition. The dataset is freely available to download, and I plan to release the data-collection mobile app as well. See the ExtraSensory Dataset at http://extrasensory.ucsd.edu for more information.

Download my CV here.
See my lecture on Behavioral Context Recognition.