Dr. Jose Iria

Research Fellow in Power System and Computer Science
Research Area:
PhD in Sustainable Energy Systems

Dr José Iria is a highly motivated academic and research engineer with extensive experience and knowledge in power and energy systems modeling, optimization, and control. In these areas, he has actively participated in more than 20 European, Australian, and U.S. R&D projects, and consultancy activities for distribution and transmission system operators, utilities, and smart grid companies. He is the author of 27 peer-reviewed papers in top international journals (10) and conferences (17). He was also co-responsible for raising more than 10 million euros in R&D funds in the areas of energy and power systems.

He obtained a PhD degree in Sustainable Energy Systems with Cum Launde distinction from the University of Porto in 2019, and an MSc degree in Electrical and Computer Engineering from the same university in 2011. His PhD was funded by an MIT Portugal fellowship awarded by the Portuguese Foundation for Science and Technology to the top 0.8% of the applicants. In 2020, his PhD thesis was recognized by APREN (Portuguese Renewable Energy Association) as one of the best dissertations in the area of renewable energy.

Currently, he is a research fellow at the Australian National University. He held research positions at INESC TEC (Portugal) between 2012 and 2019 and Berkeley Lab (U.S.) between 2017 and 2018. Today, he continues to hold an affiliate research position at INESC TEC.

Specialties: power and energy systems; electricity markets; distributed energy resources; renewable energy; modeling; optimization; control; decision-making.

Linkedin: https://www.linkedin.com/in/jos%C3%A9-iria-7054b866/

COMP8755 - Individual Computing Project

ENGN4200 - Individual Project

Student Projects: https://researchers.anu.edu.au/researchers/barreira-iria-jp 




  • Electricity markets
  • Optimization modeling
  • Aggregators and virtual power plants
  • Distributed energy resources (e.g., energy storage systems and electric vehicles)
  • Uncertainty modeling in the context of power systems 
  • Distribution network planning and operation
  • Planning of smart homes
  • Autonomous electric vehicles

PhD candidates: https://researchers.anu.edu.au/researchers/barreira-iria-jp

Updated:  1 June 2019/Responsible Officer:  Dean, CECS/Page Contact:  CECS Marketing