Rate My Professor Raymond Chiong

His research centers on automated intelligent computing methods, including agent-based modelling, machine learning, evolutionary computation, and optimisation algorithms, to address societal challenges and enhance quality of life. Applications span the evolution of cooperation and trust, climate-change induced migration and displacement, contract farming, sharing economy dynamics, depression detection via textual content and sentiment analysis from social media, malicious web domain identification, stock market prediction, energy load forecasting, and social media analytics. He has applied evolutionary optimisation to production and transportation scheduling. Chiong is a senior member of IEEE since 2014 and serves on the Scientific Advisory Board of Complexica and the International Scientific Advisory Board of Zio. He has engaged in industry projects, such as machine learning for fault detection in mining machines with Komatsu and intelligent transportation solutions with SOS Technology.

Chiong's publications, cited over 5,000 times per Google Scholar, include key works such as “A textual-based featuring approach for depression detection using machine learning classifiers and social media texts” (Computers in Biology and Medicine, 2021), “Combining sentiment lexicons and content-based features for depression detection” (IEEE Intelligent Systems, 2021), “Promotion of cooperation in social dilemma games via generalised indirect reciprocity” (Connection Science, 2015), “Effects of iterated interactions in multi-player spatial evolutionary games” (IEEE Transactions on Evolutionary Computation, 2012), and “Benchmarking optimization algorithms: An open source framework for the traveling salesman problem” (IEEE Computational Intelligence Magazine, 2014). He is Editor-in-Chief of the Journal of Systems and Information Technology, Editor of Engineering Applications of Artificial Intelligence, and Associate Editor of Engineering Reports. Awards include the Vice-Chancellor’s Award for Early Career Research and Innovation Excellence (2016) and Faculty Award for Research Supervision Excellence, Faculty of Engineering and Built Environment (2019).