Intelligent multi-purpose ear-level devices for hearing enhancement and health and wellness monitoring
on August 29, 2019 from 6:00 PM to 8:00 PM
With resurgence of AI and
machine learning, sensor miniaturization and increased wireless connectivity,
ear-level devices are going through a major revolution transforming themselves from
hearing devices into multipurpose hearing enhancement and health and wellness
monitoring devices. In this talk, I will present examples of such
transformation in the areas of hearing enhancement, health and wellness
monitoring and hand-free user experience. In the process, I will highlight how
AI and machine learning, miniaturized sensors and wireless connectivity are
enabling and accelerating the transformation. In addition, I will discuss
practical challenges for the transformation today. Finally, I will share an
outlook on future directions and opportunities.
Tao Zhang received his B.S. degree in physics from Nanjing University,
Nanjing, China in 1986, M.S. degree in electrical engineering from Peking
University, Beijing, China in 1989, and Ph.D. degree in speech and hearing
science from the Ohio-State University, Columbus, OH, USA in 1995. He joined
the Advanced Research Department at Starkey Laboratories, Inc. as a Sr.
Research Scientist in 2001, managed the DSP department from 2004 to 2008 and
the Signal Processing Research Department from 2008 to 2019. Since 2019, he has
been Director of the Algorithms (AI, ML and Signal Processing) Department at
Starkey Hearing Technologies, a global leader in providing innovative hearing
technologies. He has received many prestigious awards including Inventor of the
Year Award, the Mount Rainier Best Research Team Award, the Most Valuable Idea
Award, the Outstanding Technical Leadership Award and the Engineering Service Award
He is a senior member of IEEE and the Signal
Processing Society and the Engineering in Medicine and Biology Society. He
serves on the IEEE AASP Technical Committee, the industrial relationship
committee and the IEEE ComSoc North America Region Board.
He is an IEEE SPS Distinguished Industry Speaker and the Chair of IEEE
Twin-cities Signal Processing and Communication Chapter.
His current research interests include audio,
acoustic, speech signal processing and machine learning; multimodal signal
processing and machine learning for hearing enhancement, health and wellness
monitoring; psychoacoustics, room and ear canal acoustics; ultra-low power real-time
embedded system design and device-phone-cloud ecosystem design. He has authored
and coauthored 120+ presentations and publications, received 23 approved
patents and had additional 30+ patents pending.