Dr José Iria is a highly motivated academic and research engineer with extensive experience and knowledge in power and energy systems modelling, optimisation, 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 30 peer-reviewed papers in top international journals (12) and conferences (18). 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 Laude distinction from the Faculty of Engineering of 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 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 a research affiliate position at INESC TEC.
Dr José Iria is interested in building new bridges between optimisation theory and power systems through the reserach and development of new analytical tools for the optimisation of power systems. Specifically, his research interests include the development and application of optimisation theory to the following topics:
- Electricity markets;
- Aggregators and virtual power plants;
- Integration of distributed energy resources (e.g., photovoltaic systems, energy storage systems and electric vehicles);´
- Large-scale integration of renewable energy resources;
- Distribution network planning and operation;
- Impact of climate change in power systems;
- Planning and operation of smart homes;
- Autonomous electric vehicles.