- Led the design and execution of an advanced predictive model to forecast energy demands across Queensland using state-of-the-art deep learning powered time series forecasting.

Research Assitant - Deep Learning in Recommendation System 2020-PRESENT• Data Mining Tutor, School of ICT• Python Programming Tutor, School of ICT• Conducted weekly workshops including interactive live coding for algorithm implication and group discussion

Deep Reinforcement Learning on IEEE802.11 Wireless Communication 2019-PRESENT• Conducting research on optimizing rate adaptation schemes for IEEE 802.11 wireless networks using deepreinforcement learning (DRL)• Utilizing DRL algorithms such as Q-learning and deep Q-networks to optimize the selection of modulation and coding schemes (MCS) for IEEE 802.11 transmissions• Implementing DRL models on two Ettus Research USRP software-defined radio (SDR) platforms to conduct experiments… Show more Deep Reinforcement Learning on IEEE802.11 Wireless Communication 2019-PRESENT• Conducting research on optimizing rate adaptation schemes for IEEE 802.11 wireless networks using deepreinforcement learning (DRL)• Utilizing DRL algorithms such as Q-learning and deep Q-networks to optimize the selection of modulation and coding schemes (MCS) for IEEE 802.11 transmissions• Implementing DRL models on two Ettus Research USRP software-defined radio (SDR) platforms to conduct experiments and evaluate performance• Analyzing and interpreting experimental data to assess the effectiveness of DRL-based rate adaptation and comparing with traditional approaches Show less