
Encourages innovative and creative solutions.
Brings real-world relevance to learning.
Inspires confidence and independent thinking.
A master at fostering understanding.
Tan Chee Keong is an Associate Professor in the School of Information Technology at Monash University Malaysia. He earned his B.Eng (Hons) in Electronics majoring in Telecommunication from Multimedia University in 2006, M.Eng.Sc in Information and Communication Technology in 2009, and Ph.D in Information and Communication Technology in 2014 from the same institution. With over ten years of experience as a networking expert and consultant in telecommunications research, lecturing, and practices, Dr. Tan has taught highly-rated university-level courses, industry short courses, and conference tutorials to audiences from industry, academia, and government. His teaching contributions were recognized with the Best Teaching Award from Multimedia University in 2016.
Dr. Tan's research interests include software-defined networks, beyond 5G networks, indoor positioning schemes, game theory, machine learning, and data science. Specializing in network system design, he has conducted projects for telecommunication companies and cellular service providers, leading to patents on network algorithms and protocol designs. He has secured grants exceeding RM 800,000 as principal or co-principal investigator. As a main contributing author, he has published more than 10 international journal papers on radio resource management for wireless networks. Key publications include "AntBot-EX: Enhancing robot search efficiency in complex post-disaster environments" (2025), "Cloud-native simulation framework for gossip protocol: Modeling and analyzing network dynamics" (2025), "DAP-CBR: enhancing Bitcoin block propagation efficiency using dynamic compact block relay’s prefilling of transactions" (2025), "Enhancing Indoor Localization With Temporally-Aware Separable Group Shuffled CNNs and Skip Connections" (2025), "A fast Indoor positioning using a knowledge-distilled convolutional neural network (KD-CNN)" (year not specified), and "Clustering indoor location data for social distancing and human mobility to combat COVID-19" (2022). Dr. Tan has played a key role in establishing industry-academia collaborations, influencing advancements in wireless technologies and positioning systems.
