IEEE SPS 2023 Distinguished Lecturer

Woon-Seng Gan (SM) is Professor of Audio Processing and Director of the Smart Nation Lab in the School of Electrical and Electronic Engineering at Nanyang Technological University (NTU), Singapore. He received his BEng (1st Class Hons) and Ph.D. degrees, both in Electrical and Electronic Engineering from the University of Strathclyde, UK in 1989 and 1993, respectively, and joined the faculty of Nanyang Technological University as a lecturer in 1993. He also served as the Head of the Information Engineering Division (2011-2014), and Director of the Centre for Infocomm Technology (2016-2019) at NTU.

Prof. Gan served as Technical Program Chair, IEEE International Conference on Acoustic, Speech, and Signal Processing (ICASSP 2022); Member, IEEE Signal Processing Society Technical Directions Board (2021-2023); Member, Applied Signal Processing Systems Technical Committee (2021-2022); President-elect, Asia Pacific Signal and Information Processing Association (APSIPA) (2023-2024); and General Chair, Asia Pacific of Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) (2017).

Prof. Gan is a Fellow of the Audio Engineering Society (AES), and Fellow of the Institute of Engineering and Technology (IET). He is currently serving as Senior Area Editor, IEEE Signal Processing Letters (2019-); Associate Technical Editor, Journal of Audio Engineering Society (JAES; 2013-); Senior Editorial Member, APSIPA Transactions on Signal and Information Processing (ATSIP; 2011-); and Associate Editor, EURASIP Journal on Audio, Speech, and Music Processing (EJASMP; 2007-). He served as Associate Editor, IEEE Signal Processing Letters (SPL; 2015-19); Associate Editor, IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP; 2012-15); and was presented with an Outstanding TASLP Editorial Board Service Award in 2016. He was also a recipient of the 2017 APSIPA Sadoaki Furui Prize Paper Award.

Prof. Gan’s research has been concerned with the connections between the physical world, signal processing and machine learning, and sound control, which resulted in the practical demonstration and licensing of spatial audio algorithms, psychoacoustic signal processing applied to the soundscape evaluation, audio intelligence monitoring at the edge, and active noise control for headphones and open apertures.