Academic Profile : Faculty

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Assoc Prof Andy Khong Wai Hoong
Deputy Associate Provost (Student Life)
Associate Professor, School of Electrical & Electronic Engineering
Co-Director, Delta-NTU Corporate Laboratory, Delta-NTU Corporate Laboratory
Director of Students, Innovation & Entrepreneurship
External Links
Andy Khong is currently an Associate Professor in the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. Prior to that, he obtained his Ph.D ('02-'05) from the Department of Electrical and Electronic Engineering, Imperial College London, after which he also served as a research associate ('05-'08) in the same department. He obtained his B.Eng from Nanyang Technological University in Singapore.

His postdoctoral research involved in the development of signal processing algorithms for vehicle destination inference as well as the design and implementation of acoustic array and seismic fusion algorithms for perimeter security systems. His Ph.D. research was mainly on partial-update and selective-tap adaptive algorithms with applications to mono- and multi-channel acoustic echo cancellation for hands-free telephony. More recently he has published works in the area of speech enhancement, learning analytics and machine learning techniques for natural language processing applications.

Andy currently serves as an Associate Editor in the IEEE Trans. Audio, Speech and Language Processing and the Journal of Multidimensional Systems and Signal Processing (Springer). He was a visiting professor at UIUC in 2012 under the Tan Chin Tuan Fellowship. He is the author and co-author of two papers awarded the "Best Student Paper Awards" and is a recipient of the Junior Chambers International "Ten Outstanding Young Persons Honouree Award 2011" and the Institute of Singapore "Prestigious Engineering Achievement Award 2012."
Microphone array signal processing
Speech enhancement
Learning analytics
Machine learning algorithms for NLP applications
  • Assessing the Learning Outcomes of Makerspaces in Terms of Creativity and Innovation of Undergraduates
  • Delta - NTU Corporate Laboratory (Phase 2) (Delta)
  • Delta WP6:Resource- and context-aware signal processing and machine learning for real-time decision making in autonomous mobile robots (AMRs)
  • Delta-NTU Corp Lab Phase II NTU Cash
  • Improving Intergenerational Communication and Bonding through Applying Video-mediated Communication and Simultaneous Gameplay
  • NTU-Delta Corporate Laboratory (Phase 2) (IAF-ICP)
  • The 3S Approach to Student Learning: Science of Learning, Self-Reflection, and Simulation Tools
  • Toward a data-driven decision-making strategy for predictive intervention to support student academic success
  • WP1: Hybrid soft-rigid grippers with variable stiffness (IAF-ICP)
  • WP2: Printed, flexible tactile sensors for robotic grippers (IAF-ICP)
  • WP3: Haptic-based learning for in-hand and dual-arm manipulators (IAF-ICP)
  • WP4: Cognitive intelligent robotic sensing: 3D chip-integrated sub-THz radar, optical lidar, and light-field camera sensor with AI edge data fusion (IAF-ICP)
  • WP5: Multi-level situation awareness for safe and efficient multi-agent collaboration in smart manufacturing (IAF-ICP)
  • WP6: Resource- and context-aware signal processing and machine learning for real-time decision making in autonomous mobile robots (AMRs) (IAF-ICP)
2021 - Koh Boon Hwee Scholar Award (Honoured Faculty)
2020 - Koh Boon Hwee Scholar Award (Honoured Faculty)
2019 - Nanyang Education Award (School)
2018 - EEE Year-3 Teaching Excellence Award
2016 - Koh Boon Hwee Scholar Award (Honoured Faculty)
2015 - Koh Boon Hwee Scholar Award (Honoured Faculty)
Courses Taught