Academic Profile : Faculty
Prof Guan Yong Liang
Associate Vice President (Infrastructure & Programmes)
Professor, School of Electrical & Electronic Engineering
Co-Director, Continental–NTU Corporate Lab: "Future-Oriented Continental's Urban Society (FOCUS) Lab
Research Director (Signal Research), Temasek Laboratories at NTU (TL@NTU)
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Dr. Yong Liang Guan obtained his Bachelor of Engineering at the National University of Singapore and PhD degree from the Imperial College London. He is the Associate Vice President (Infrastructure and Programmes) of NTU, and a Professor of Communication Engineering with the School of Electrical and Electronic Engineering, Nanyang Technological University (NTU) of Singapore. He is also the Co-Director of the Continental-NTU Corporate Lab. His research focus are in the areas of coding and signal processing for communication systems and information storage systems. He has published an invited monograph, 2 books and more than 450 journal and conference papers. He has secured over S$70 million of external research funding. He established the Continental-NTU Corporate Lab, Schaeffler Hub for Advance Research at NTU, and the NTU-NXP V2X Testbed Lab. He has 11 filed patents and 3 granted patents, one of which was licensed to NXP Semiconductors. He is a Distinguished Lecturer of the IEEE Vehicular Technology Society and an Editor for the IEEE Transactions on Vehicular Technology.
Coding and signal processing for communication system and data storage system
o Vehicle-to-Everything (V2X) communication
o Anytime/LDPC/Turbo coding and decoding
o Data storage coding and signal processing
o Network coding
o Multiple-input-multiple-output (MIMO) coding and techniques
o Complementary sequence
Channel Modelling
o Vehicular communication channel
o Powerline communication channel
o Vehicle-to-Everything (V2X) communication
o Anytime/LDPC/Turbo coding and decoding
o Data storage coding and signal processing
o Network coding
o Multiple-input-multiple-output (MIMO) coding and techniques
o Complementary sequence
Channel Modelling
o Vehicular communication channel
o Powerline communication channel
- 6G Backhaul Based on Orbital Angular Momentum (OAM) RF Transmission
- Advanced Error Control Coding for 6G URLLC and mMTC
- AVB/ TSN Based Display System
- Continental-NTU Corporate Lab Main Admin
- Continental-NTU Corporate Lab Main Admin (IAF-ICP)
- High Spectral Efficiency, Minimally Interfering, Non-Orthogonal Multiple Access Communication Signals
- Interaction-Aware Predictive Decision-Making for Human-Like Autonomous Driving: A Hybrid-Learning-Based Codesign Approach
- Monetary Academic Reward
- PROJECT SRP4 - SIGNAL RESEARCH PROGRAMME 4
- Sustainable Technology for 6G and Beyond
- Thrust A: Smart Mobility & Delivery (IAF-ICP)
- Thrust A: Smart Mobility & Delivery (RCA)
- Thrust B: Artificial Intelligence and Software Engineering (IAF-ICP)
- Thrust B: Artificial Intelligence and Software Engineering (RCA)
- Thrust C: Smart Materials and Communication Technologies (IAF-ICP)
- Thrust C: Smart Materials and Communication Technologies (RCA)
US 2012/0269412 A1: A Method Of Providing Security For Transmitting A Digital Medical Image (2014)
Abstract: A method of preparing a digital medical image for secure transmission, the method comprising embedding data into the digital medical image using a reversible watermarking process, generating a code for tamper detection and localization from the digital medical image using a computational function, and embedding the code for tamper detection and localization into the digital medical image using the reversible watermarking process; and a method of reviewing a digital medical image prepared by the method of preparing, the method of reviewing comprising retrieving the code for tamper detection and localization from the digital medical image; reversing the watermarking processes to obtain a restored image; generating a code from the restored image using the computational function; and comparing the retrieved code for tamper detection and localization with the code generated from the restored image to detect and locate tampering.
US 2022/0368569 A1: Method Of Receiving A Transmitted Signal Over A Time-Varying Channel And Receiver Thereof (2024)
Abstract: There is provided a method of receiving a transmitted signal over a time-varying channel. The method includes: obtaining a received symbol signal in frequency domain based on the transmitted signal; performing a first channel estimation based on the received symbol signal to obtain a plurality of first estimated BEM coefficients; performing a first equalization based on the received symbol signal and the plurality of first estimated BEM coefficients to obtain a plurality of first detected source symbols; and performing one or more rounds of a second channel estimation and a second equalization.
Abstract: A method of preparing a digital medical image for secure transmission, the method comprising embedding data into the digital medical image using a reversible watermarking process, generating a code for tamper detection and localization from the digital medical image using a computational function, and embedding the code for tamper detection and localization into the digital medical image using the reversible watermarking process; and a method of reviewing a digital medical image prepared by the method of preparing, the method of reviewing comprising retrieving the code for tamper detection and localization from the digital medical image; reversing the watermarking processes to obtain a restored image; generating a code from the restored image using the computational function; and comparing the retrieved code for tamper detection and localization with the code generated from the restored image to detect and locate tampering.
US 2022/0368569 A1: Method Of Receiving A Transmitted Signal Over A Time-Varying Channel And Receiver Thereof (2024)
Abstract: There is provided a method of receiving a transmitted signal over a time-varying channel. The method includes: obtaining a received symbol signal in frequency domain based on the transmitted signal; performing a first channel estimation based on the received symbol signal to obtain a plurality of first estimated BEM coefficients; performing a first equalization based on the received symbol signal and the plurality of first estimated BEM coefficients to obtain a plurality of first detected source symbols; and performing one or more rounds of a second channel estimation and a second equalization.
Courses Taught
EE3012 - COMMUNICATION PRINCIPLES