Prof. Edmund Lai, IET Fellow
Auckland University of Technology, New Zealand
Edmund Lai received his BE(Hons) and PhD from The University of Western Australia, both in Electrical Engineering, in 1982 and 1991 respectively. He is currently a Professor of Information Engineering and Head of Department of Information Technology and Software Engineering, Auckland University of Technology, New Zealand. He has over 30 years of academic experience, having previously held faculty positions at universities in Australia, Hong Kong, and Singapore. He has published over 120 international refereed journal and conference papers in signal processing, software-defined radio, intelligent control, computational and swarm intelligence, and artificial neural networks. Dr Lai is a Fellow of the Institution of Engineering and Technology (IET) and a Chartered Engineer (UK).
Prof. Zhihua Wang, IEEE Fellow
Tsinghua University, China
Zhihua Wang (M’99-SM’04-F’17) received the B.S., M.S., and Ph.D. degrees in Electronic Engineering in 1983, 1985 and 1990, respectively, from Tsinghua University, Beijing, China, where he has served as full professor and Deputy Director of the Institute of Microelectronics since 1997 and 2000. He was a visiting scholar at CMU (1992-1993) and KU Leuven (1993-1994), and was a visiting professor at HKUST (2014.9-2015.3). His current research mainly focuses on CMOS RFIC and biomedical applications, involving RFID, PLL, low-power wireless transceivers, and smart clinic equipment combined with leading edge RFIC and digital signal processing techniques. He has co-authored 13 books/chapters, over 209 (537) papers in international journals (conferences), over 249 (29) papers in Chinese journals (conferences) and holds 122 Chinese and 9 US patents. Prof. Wang has served as the chairman of IEEE SSCS Beijing Chapter (1999-2009), an AdCom Member of the IEEE SSCS (2016-2019), a technology program committee member of the IEEE ISSCC (2005-2011), a steering committee member of the IEEE A-SSCC (2005-), the technical program chair for A-SSCC 2013, a guest editor for IEEE JSSC Special Issues (2006.12, 2009.12 and 2014.11), IEEE SSCS Distinguished Lecturer(2018-2019), Associate Editors in Chief, IEEE Open Journal of Circuits and Systems (2019~), associate editor of IEEE Trans on CAS-I(2016-2020), IEEE Trans on CAS-II(2010-2013) and IEEE Trans on BioCAS(2008-2015), TPC Member of IEEE International Solid State Circuit Conference (ISSCC, 2005-2011), IEEE CASS Technical Committee member for Biomedical and Life Science Circuits and Systems (2016~2019), Steering Committee Member of IEEE Asian Solid-State Circuits Conference(A-SSCC, 2004-2025) and other administrative/expert committee positions in China’s national science and technology projects.
Speech Title: "Binaural Hearing Aid and Artificial Intelligence in Fitting and Signal Processing"
Abstract: Nowadays, the hearing aid technology is facing a new horizon based on advanced digital signal processing, wireless communication and artificial intelligence. In this lecture, new methodology with a systematic solution covering both the auditory periphery and the cognitive system is given. The up to date and rapidly evolves technologies for the binaural hearing aid system are well addressed. The multi-channel wide dynamic range compression, active noise reduction, self-adaptable directivity, acoustic scene analysis, and the wireless linking with other audio or communication systems are presented. The key technologies including the ultra-low power chip design, the advanced digital signal processing (DSP), and the wireless system integration and connectivity are discussed. The micromechanics and high performance electro-acoustics, the miniaturized antenna, the user interface, and the fitting system development are also the important aspects for the hearing aid technologies are shown in this lecture. A smart binaural hearing aid technology, which simultaneously processes the acoustic signals from the four microphones in both ears are indicated which utilizing the computing power from the smart phone to finish the advanced binaural DSP algorithms.