Paris Smaragdis is a remarkable individual who has excelled in both music and science. He holds an impressive academic record, achieving a Master of Science and Doctor of Philosophy from the prestigious Massachusetts Institute of Technology. Furthering his passion for music, Paris also studied music at the Berklee College of Music.

Currently, Paris is a Professor and Associate Head at the University of Illinois at Urbana-Champaign, where he is hailed for his expertise in the fields of signal processing, machine learning, and audio processing. Prior to this, he had worked as a Senior Research Scientist at Adobe and Research Scientist at MERL.

Paris gained recognition for his pioneering work in a range of areas, including machine learning-based speech enhancement, computational music analysis, blind source separation, and source localization. His vast experience has fueled his success, and he has published over 130 research articles and holds 20 patents in these areas.

In summary, Paris Smaragdis is a leading researcher and educator in the field of signal processing, with extensive experience in computational music analysis, machine learning-based speech enhancement, blind source separation, and more.