Senior Lecturer, University of Sydney Independent Gtuitarist and Bassist
About Dr Fengji Luo
As a Researcher
As a Guitar & Bass Guitar Player
As a Guitar & Bass Guitar Player
Dr Fengji Luo obtains a Ph.D degree in Electrical Engineering from The University of Newcastle, Australia in 2014. Currently, he is a Senior Lecturer in the School of Civil Engineering, The University of Sydney. He held positions in The University of Newcastle, Australia, Hong Kong Polytechnic University, and Brunel University London.
Dr
Dr Fengji Luo obtains a Ph.D degree in Electrical Engineering from The University of Newcastle, Australia in 2014. Currently, he is a Senior Lecturer in the School of Civil Engineering, The University of Sydney. He held positions in The University of Newcastle, Australia, Hong Kong Polytechnic University, and Brunel University London.
Dr Luo's research interests include power demand side management, building/home energy management, computational intelligence and its applications in energy systems, and smart grids. Dr Luo has over 190 technical publications in these areas, which have been cited 9,000+ times by peers (Google Scholar).
As a Guitar & Bass Guitar Player
As a Guitar & Bass Guitar Player
As a Guitar & Bass Guitar Player
Dr Fengji Luo has 15+ year experience in playing guitar and 10+ year experience in playing bass guitar. He played in multiple bands in Hong Kong and Australia and has trained over 50 people these instruments.
Dr Luo has developed rich hard rock/heavy metal electric guitar skills, including shred picking, tapping, sweep, etc. He is influenc
Dr Fengji Luo has 15+ year experience in playing guitar and 10+ year experience in playing bass guitar. He played in multiple bands in Hong Kong and Australia and has trained over 50 people these instruments.
Dr Luo has developed rich hard rock/heavy metal electric guitar skills, including shred picking, tapping, sweep, etc. He is influenced by guitarists such as 小林信一, Alex Laiho and Zakk Wylde.
Dr Luo has developed solid bass guitar skills. He is heavily influenced by Billy Sheehan and Masaki. His bass guitar skills are featured by the integration of a variety of advanced techniques including 3-finger shred, both-hand tapping, slap and sweep. He is good at combining these techniques to create an unique bass playing style.
Latest News & Events
A Paper Accepted by IEEE Transactions on Smart Grid - 13/05/2024
< Communication-efficient Distributed Pricing for Power-Hydrogen Systems with Electric Vehicles and Renewable Energy Integration>, Accepted by IEEE Transactions on Smart Grid. Authors: Xiangyu Li, Guo Chen, Chaojie Li, Fengji Luo, and Zhao Yang Dong.
A Paper Accepted by International Journal of Power and Energy Systems - 13/05/2024
< Federated home BESS recomender system based on neural collaborative filtering>, Accepted by International Journal of Power and Energy Systems. Authors: Xiangzhi Guo, Fengji Luo, Yuchen Zhang, and Tong Wan.
A Paper Accepted by Applied Energy - 28/04/2024
< Personalized energy trading system with social-demographic characteristic inference and AC network constraints>, Accepted by Applied Energy. Authors: Zehua Zhao, Fengji Luo, Yu He, and Gianluca Ranzi.
A Paper Accepted by International Journal of Electrical Power and Energy Systems - 28/04/2024
< Uncertainty-aware Prosumer Coalitional Game for Peer-to-peer Energy Trading in Community Microgrids>, Accepted by International Journal of Electrical Power and Energy Systems. Authors: Da-wen Huang, Fengji Luo, and Jichao Bi.
A Paper Published on IEEE Trans. Services Computing - 16/03/2024
< Enhancing Disentanglement of Popularity Bias for Recommendation with Triplet Contrastive Learning>, IEEE Transactions on Services Computing. Authors: Jie Liao, Wei Zhou, Fengji Luo, and Junhao Wen.
A Paper Accepted by Applied Energy - 04/02/2024
<Multi-agent deep reinforcement learning-based autonomous decision making framework for community virtual power plants>, accedpted by Applied Energy. Authors: Xiangyu Li, Fengji Luo, and Chaojie Li.
A Paper Accepted by Applied Energy - 04/02/2024
<Multi-agent deep reinforcement learning-based autonomous decision making framework for community virtual power plants>, accedpted by Applied Energy. Authors: Xiangyu Li, Fengji Luo, and Chaojie Li.
Received the Best Paper Award of IEEE EI2 2023 - 17/12/2023
The paper <Evaluation study of deep learning-based models on probabilistic power load forecasting> received the Best Paper Award of 2023 IEEE Conference on Energy Internet and Energy System Integration (EI2 2023). Authors: Zichen Ye, Yu He, and Fengji Luo.
A Paper Accepted by 7th IEEE Conference on Energy Internet and Energy System Integration - 21/11/202
<Evaluation of diffusion models on non-intrusive load monitoring>, will appear in the proceeding of 7th IEEE Conference on Energy Internet and Energy System Integration. Authors: Bohan Zhang, Fengji Luo, and Yu He.
A Paper Accepted by 7th IEEE Conference on Energy Internet and Energy System Integration - 20/11/202
<Evaluation study of deep learning-based models on probabilistic power load forecasting >, will appear in the proceeding of 7th IEEE Conference on Energy Internet and Energy System Integration. Authors: Zhichen, Yu He, and Fengji Luo.
A Paper Accepted by Knowledge-based Systems - 20/11/2023
< User-centric recommendation on energy-efficient appliances in smart grids: a multi-task learning approach>, accpted by Knowledge-based Systems. Authors: Xiangzhi Guo, Yuchen Zhang, Fengji Luo, and Zhao Yang Dong.
A Paper Accepted by IEEE Trans. Sustainable Energy - 06/11/2023
< Low Carbon Planning of Multiple Integrated Energy Systems Considering Trans-regional Battery Logistics Network>, accpted by IEEE Transactions on Sustainable Energy. Authors: Jizhong Zhu, Chenke He, Kwok Cheung, Fengji Luo, and Yun Liu.