Academic Profile : Faculty

Woon Seng Gan.jpg picture
Prof Gan Woon Seng
Professor, School of Electrical & Electronic Engineering
Director, Smart Nation Lab, Centre for Information Sciences and Systems, School of Electrical and Electronic Engineering (EEE)
Programme Director, Singtel Cognitive and Artificial Intelligence Lab (SCALE@NTU)
Woon-Seng Gan received his BEng (1st Class Hons) and PhD degrees, both in Electrical and Electronic Engineering from the University of Strathclyde, UK in 1989 and 1993 respectively. He is currently a Professor of Audio Engineering and Director of the Smart Nation Lab in the School of Electrical and Electronic Engineering at Nanyang Technological University. He also served as the Head of the Information Engineering Division in the School of Electrical and Electronic Engineering at Nanyang Technological University from 2011to 2014, and as director of the Centre for Infocomm Technology from 2016 to 2019. His research has been concerned with the connections between the physical world, signal processing, and sound control, which resulted in the practical demonstration and licensing of spatial audio algorithms, directional sound beam, and active noise control for headphones and open windows.
He has published more than 400 international refereed journals and conferences and has translated his research into 6 granted patents. He had co-authored three books on Subband Adaptive Filtering: Theory and Implementation (John Wiley, 2009); Embedded Signal Processing with the Micro Signal Architecture, (Wiley-IEEE, 2007); and Digital Signal Processors: Architectures, Implementations, and Applications (Prentice Hall, 2005). He has also given several keynotes and distinguished lecturer speeches at IEEE, AES, and APSIPA conferences. He was also the recipient of the 2017 APSIPA Sadoaki Furui’s Book Prize
He is a Fellow of the Audio Engineering Society(AES), a Fellow of the Institute of Engineering and Technology(IET), and a Senior Member of the IEEE. He served as an Associate Editor of the IEEE/ACM Transaction on Audio, Speech, and Language Processing (TASLP; 2012-15) and was presented with an Outstanding TASLP Editorial Board Service Award in 2016. He also served as the Associate Editor for the IEEE Signal Processing Letters (2015-19). He is currently serving as a Senior Area Editor of the IEEE Signal Processing Letters (2019-); Associate Technical Editor of the Journal of Audio Engineering Society (JAES; 2013-); Editorial member of the Asia Pacific Signal and Information Processing Association (APSIPA; 2011-) Transaction on Signal and Information Processing; Associate Editor of the EURASIP Journal on Audio, Speech, and Music Processing (2007-).
He was elected as Board of Governor in 2014 and Vice President – Institutional Relations and Education Program in 2017 for the Asia Pacific Signal and Information Processing Association (APSIPA). He also participates actively in the IEEE Signal Processing Industry DSP committee and IEEE IoT special interest group. He also served as a member of the IEEE Signal Processing Design and Implementation of Signal Processing System from 2012 to 2015 and 2019-; IEEE Signal Processing Education Technical Committee from 2009 to 2015. Additionally, he is also the General Conference Chair of the APSIPA Annual Summit and Conference in 2017, and he is the Technical Program Chair of the upcoming IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) to be held in Singapore in 2022.
Prof. Gan and his work have been covered in several press articles, including New York Times, Wall Street Journal, Scientific American, IEEE Spectrum, New Scientist Magazine, Naver (S. Korea), and featured in media like CBS Innovation Nation (USA), Nas Daily (Singapore), Galileo TV (Germany), Channel News Asia (Singapore).
His research interests include active noise control for hearables and open window, spatial audio processing, and AI for Sound
  • Active Noise Mitigation of Aircraft Noise Through Partially Opened Window
  • Are you tired? Wearable digital biomarkers to detect, evaluate, and predict cognitive fatigue for healthcare professionals
  • Assessing Cities: A SCoRE (Societal Comprehensive Reflective Estimate) Methodology
  • Auditory Cues for Spatial Wayfinding
  • Augmenting Urban Soundscape (AUS) Phase 2: Adaptive Soundscape Enhancement System and Evaluation of the Urban Sound Environment
  • Deep Ear for Hearables (DEHE): Applying Deep Learning Techniques for Hearing Devices
  • EEE Core Manpower (SPIRIT Phase 2)
  • Inter-Floor Noise Measurement
  • Optimizing Noise Control through Meta-Learning: An Investigation into Algorithmic Adaptation Techniques
  • Research Theme 2 - Edge Intelligence
  • Singtel-NTU Congnitive & Artifical Intelligence Joint Lab, Common Activities Account
  • Smart City - Internet of Things and Cyber/Physical Human Interfaces
  • Using Deep Learning to Overcome the Complex Acoustic–Physical Limitations and Computational Requirements of the Anti-Noise Window
US 2014/0153765 A1: Listening Device And Accompanying Signal Processing Method (2016)
Abstract: A listening device (120; 220; 320), such as a pair of headphones, is provided for wearing by a user. It contains two or more sound emitters for directing sound to each ear (2) of the user. At least one of the sound emitters (116; 216, 316) is positioned such that sound is emitted in a direction substantially perpendicular to the axis of the ear canal (10) of the ear, and towards the wall of the concha (6) of the ear (2).
- DCASE 2021 Challenge Judges’ Award for Sound Event Localization and Detection with Direction Interference in DCASE 2021 Challenge.
- Projects on “Individualized Head Relate transfer Function” and “Real-Time Hear Through for AR Headphones” have been selected as the Best Technical Demos in the 2019 Audio Engineering Society International Conference on Headphone Technology , USA.
- Awarded the APSIPA Sadaoki Furui Prize Paper Award 2017 for a journal paper on “Recent Advances on Active Noise Control: Open Issues and Innovative Applications
Fellowships & Other Recognition
Audio Engineering Society (USA)
Institute of Engineering and Technology (UK)
Listed as World’s Top 2% Scientist Ranking in the field of Acoustics
Courses Taught
Embedded System, Microprocessor
Supervision of PhD Students
Supervised and graduated some 20 PhD students