Cheng Siong Chin is a Chair Professor in Intelligent Systems Modelling and Simulation at Newcastle University and one of the Editors-in-Chief for Cybernetics and Systems, Taylor Francis. He is also the Director of Newcastle University-Nvidia Joint Laboratory in Singapore. He received his Ph.D. in Applied Control Engineering at Research Robotics Centre at Nanyang Technological University (NTU) in 2008 and his M.Sc. (Distinction) in Advanced Control and Systems Engineering from The University of Manchester (formerly UMIST) in 2001. Professor Chin received a B.Eng. (Hons) degree in Mechanical and Production Engineering from Nanyang Technological University (NTU). Before moving into academia, he worked in the consumer electronics industry for a few years. Professor Chin obtained 7 Economic Development Board (EDB)-Industrial Postgraduate Programme (IPP) and 2 Singapore Maritime Institute (SMI) grants from the Singapore government in intelligent systems design, simulation, and predictive analytics as a PI and Co-PI. He has obtained over 170 publications, 5 authored books, 2 Singapore Patent Applications, and 3 US Patents. He published in AI-related conferences like EANN/EAAAI, IJCNN, AIAI, and DCASE. He also received the DCASE2019 Judges' Award in IEEE AASP Challenge on DCASE2019. He is an Associate Editor for IEEE Access Journal, Applied Artificial Intelligence, IEEE Transportation Electrification Community (TEC) eNewsletter, and Electronics.
Research Keywords & Expertise
Electric Vehicle
Intelligent algorithm
modelling and simulati...
Underwater robotics
Acoustics Applications
Battery enclosure
Battery Energy Storage...
PV system
machine learning and p...
Intelligent systems de...
Acoustic enclosure
And water distribution...
And machine learning)
Intelligent systems
energy systems
Fingerprints
11%
Electric Vehicle
11%
machine learning and prediction
11%
And machine learning)
8%
modelling and simulations
5%
Underwater robotics
5%
And water distribution network) involving predictive analytics (data mining
5%
energy systems
Short Biography
Cheng Siong Chin is a Chair Professor in Intelligent Systems Modelling and Simulation at Newcastle University and one of the Editors-in-Chief for Cybernetics and Systems, Taylor Francis. He is also the Director of Newcastle University-Nvidia Joint Laboratory in Singapore. He received his Ph.D. in Applied Control Engineering at Research Robotics Centre at Nanyang Technological University (NTU) in 2008 and his M.Sc. (Distinction) in Advanced Control and Systems Engineering from The University of Manchester (formerly UMIST) in 2001. Professor Chin received a B.Eng. (Hons) degree in Mechanical and Production Engineering from Nanyang Technological University (NTU). Before moving into academia, he worked in the consumer electronics industry for a few years. Professor Chin obtained 7 Economic Development Board (EDB)-Industrial Postgraduate Programme (IPP) and 2 Singapore Maritime Institute (SMI) grants from the Singapore government in intelligent systems design, simulation, and predictive analytics as a PI and Co-PI. He has obtained over 170 publications, 5 authored books, 2 Singapore Patent Applications, and 3 US Patents. He published in AI-related conferences like EANN/EAAAI, IJCNN, AIAI, and DCASE. He also received the DCASE2019 Judges' Award in IEEE AASP Challenge on DCASE2019. He is an Associate Editor for IEEE Access Journal, Applied Artificial Intelligence, IEEE Transportation Electrification Community (TEC) eNewsletter, and Electronics.
Honors and Awards
DCASE2019 Judges' Award
Sound Event Detection in Domestic Environments in IEEE AASP Challenge on DCASE2019-Task 4. The goal is to evaluate systems for the detection of sound events using real data either weakly labeled or unlabeled and simulated data that is strongly labeled (with time stamps).
IEEE Audio and Acoustic Signal Processing
Best Application Paper Award
Sliding-Mode Control of STENA DRILLMAX Drillship with Environmental Disturbances for Dynamic Positioning
2019 11th International Conference on Modelling, Identification and Control, Springer
Best Paper Award
Unity3D Serious Game Engine for High Fidelity Virtual Reality Training of Remotely-Operated Vehicle Pilot
2018 10th International Conference on Modelling, Identification and Control, IEEE