Dr. Yang Du received his Ph.D. degree in electrical engineering from The University of Sydney, Australia, in 2013. From 2013 to 2014, he was with Masdar Institute of Science and Technology, Abu Dhabi, UAE, as a post-doctoral research fellow. From 2014 to 2018, he was a lecturer at Xi’an Jiaotong-Liverpool University, Suzhou, China, where he maintains an honorary position. He joined James Cook University, Cairns, Australia in 2019. He was a visiting scientist at Massachusetts Institute of Technology in 2018. He was featured in the 2022 World’s Top 2% Scientists List published by Stanford University.

  • CC4510: Digital System Design (Level 4; CNS)
  • EE3400: Power Engineering 1 (Level 3; CNS)
  • EG5311: Research Project 1 (Level 5; TSV & CNS)
  • EG5312: Research Project 2 (Level 5; TSV & CNS)
  • MA5020: Special Study A (Level 5; CNS & TSV)
  • renewable energy integration
  • power electronics
  • smart grid
  • 2019 to present - Lecturer, James Cook University (Cairns, Australia)
  • 2018 - Visiting Scientist, Massachusetts Institute of Technology (Boston, USA)
  • 2014 to 2018 - Assistant Professor, Xi'an Jiaotong-Liverpool University (Suzhou, China)
  • 2013 to 2014 - Post-doctoral Researcher, Masdar Institute of Science and Technology (Abu Dhabi, UAE)
Research Disciplines
Socio-Economic Objectives

These are the most recent publications associated with this author. To see a detailed profile of all publications stored at JCU, visit ResearchOnline@JCU. Hover over Altmetrics badges to see social impact.

Journal Articles
Conference Papers

ResearchOnline@JCU stores 53+ research outputs authored by Dr Yang Du from 2014 onwards.


Advisory Accreditation: I can be on your Advisory Panel as a Primary or Secondary Advisor.

These Higher Degree Research projects are either current or by students who have completed their studies within the past 5 years at JCU. Linked titles show theses available within ResearchOnline@JCU.

  • Eliminating the impact of solar photovoltaic power intermittency using curtailment driven by reinforcement learning (PhD , Primary Advisor)
  • Virtual/synthetic Inertia for the Future Grid with high Penetration of Renewable Energy (PhD , Primary Advisor)

The map shows research collaborations by institution from the past 7 years.
Note: Map points are indicative of the countries or states that institutions are associated with.

  • 5+ collaborations
  • 4 collaborations
  • 3 collaborations
  • 2 collaborations
  • 1 collaboration
  • Indicates the Tropics (Torrid Zone)

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