Rate My Professor Chee Keong

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.