Pengwei Yang is a postgraduate student doing the Master of Information Technology (Research Pathway). He is currently under the supervision of Prof. Athman Bouguettaya at the University of Sydney. He is interested in Machine Learning and wants to do more research relevant to machine learning algorithms.
Energy Consumption Estimation using machine learning models
The world is rapidly going wireless. Within a span of a few decades, phones and internet became wireless, and now charging has become wireless. Wireless charging refers to the transfer of energy among devices without the need for a connecting cable. A wireless energy-sharing platform is required to facilitate the sharing of energy. This project focus on collecting a real dataset of wireless charging and a machine-learning algorithm to capture the energy-sharing patterns of smartphone users.
- Energy Loss Prediction in IoT Energy Services. Pengwei Yang, Amani Abusafia, Abdallah Lakhdari, and Athman Bouguettaya. ICWS 2023, Chicago, US.
- Monitoring Efficiency of IoT Wireless Charging. Pengwei Yang, Amani Abusafia, Abdallah Lakhdari, and Athman Bouguettaya. PerCom 2023, Atlanta, USA, Demo paper.
- Towards peer-to-peer sharing of wireless energy services. Pengwei Yang, Amani Abusafia, Abdallah Lakhdari, and Athman Bouguettaya. ICSOC 2022, Sevilla, Spain, Demo paper.