Rate My Professor Tiong Teck Chai Tiong

His research specializes in wireless communications and signal processing. Additional interests include power system stability, renewable energy, and machine learning applications in engineering contexts. Tiong is qualified to supervise PhD and MPhil students in electrical and computer engineering. He has authored several key publications, including "Deep Reinforcement Learning with Robust Deep Deterministic Policy Gradient" (2020), "Transceiver design for SWIPT multicasting MIMO relay systems" (2019), "Adaptive Modulation and Coding for LTE Wireless Communication" (2015), "Robust Transceiver in MIMO Relay Systems with Direct Link" (2018), "Review on Determinant Parameters of Genetic Algorithm Optimization" (2022), "Process Proportional-Integral PI Control with Deep Reinforcement Learning" (2023), and "WCDMA Network Planning and Optimisation" (2008). These contributions appear in IEEE conferences, IOP Materials Science and Engineering, and other peer-reviewed sources, advancing knowledge in areas such as MIMO relay systems, simultaneous wireless information and power transfer (SWIPT), LTE optimization, genetic algorithms, and reinforcement learning for control systems.