Rui Yuan

Rui Yuan

Higher Degree by Research Candidate

School of Electrical and Mechanical Engineering

Faculty of Sciences, Engineering and Technology


As a PhD candidate working on an industrial program, I'm commencing research aiming to develop, test, and verify statistical models based on machine learning techniques to quantify prosumers’ responsiveness to time-varying prices in real-time. My research interest includes Power and Energy System Engineering, Pattern Recognition, Data Mining, and Explainable Machine Learning in Power System. My other skills include forecasting and modelling (achieved 5th place in IEEE-CIS DATA CHALLENGE 2021), web development (served as web chair of the 32nd Australasian Universities Power Engineering Conference), and synthetic data generation (Synthetic dataset published in Scientific Data by Nature).

Teaching assistant for:

ELEC_ENG_2100 Digital System (FPGA)

ELEC_ENG_1102 Digital Electronics

ELEC_ENG_4100 Business Management Systems

Head of Teaching Assistants for:

COMP_SCI_7210 Foundations of Computer Science A

COMP_SCI_7211 Foundations of Computer Science B


Connect With Me
External Profiles

Other Links