Hanane Dagdougui
Member, GERAD
Full Professor, Department of Mathematical and Industrial Engineering, Polytechnique Montréal
Other titles and affiliations
Biography
I obtained my co-supervised PhD in Systems Engineering from Mines ParisTech, France, and the Faculty of Engineering of Genoa, Italy. My thesis deals with the optimization of a green hydrogen supply chain and developing decision support systems for the selection of potential sites for hydrogen production from renewables. One of the main contributions was developing comprehensive optimization models for the strategic planning and optimal operation of hydrogen refuelling stations. After completing my PhD, I worked as a research assistant at the Department of Informatics, Bioengineering, Robotics and System Engineering, at the Faculty of Engineering of Genoa, developing distributed control theory approaches for networked systems. I joined the Department of Electrical Engineering at ÉTS Montréal as an institutional researcher in 2013, where my main research activities were related to developing optimization models for power systems and renewable energy-based systems.
In 2017, I joined the Department of Mathematics and Industrial Engineering at Polytechnique Montréal, where I am currently an associate professor. I am particularly interested in the theory of distributed optimization algorithms and their applications to microgrids, smart buildings and electric-vehicle charging infrastructure. My research interests also include developing machine-learning techniques for energy management in buildings and smart charging of electric vehicles. In addition, I am interested in techno-economical modelling and operational planning of renewable energy-based systems, demand response and electric transportation.
My main reason for joining GERAD is to expand my collaborations with other members and to develop new joint projects. I also want to allow my students to gain valuable insights into varied components of their research by enriching their interactions with other graduate students and by attending seminars and talks regularly. This is a good opportunity for them to discuss their research with international experts, and more importantly, to meet visitors and other students and thereby develop their network of contacts.
Research Axes
Research Applications
Publications
In this work, we tackle the optimal energy trading~(OET) problem in distribution grids with a large number of prosumer households. We first introduce a clust...
BibTeX reference
This paper presents a transmission expansion planning framework that couples Benders decomposition with an operational layer based on a semidefinite programm...
BibTeX referenceNews
Title: Human-Centric, Causal and Physics-Guided AI for Designing and Optimizing Sustainable Industrial Processes and Materials
GERAD is pleased to highlight the recent publication of an article in The Conversation on the ambivalent role of digital intelligence in reducing greenhouse gas (GHG) emissions. The article highlights a major paradox: while digital technologies—including artificial intelligence, modeling, and big data—offer powerful tools for optimizing energy systems, they also rely on infrastructure that itself generates emissions and environmental impacts.
We are pleased to announce the winners of the co-supervised doctoral scholarship competition, who will receive a $13,000 scholarship.
Events
Mohamad Aziz – Polytechnique Montréal
Hanane Dagdougui – Associate Professor, Department of Mathematical and Industrial Engineering, Polytechnique Montréal
Prizes and awards
Professor among the world’s most influential researchers in 2020
Discovery Launch Supplement
Editorial Boards & Comittees
- Guest editor, Sustainable Energy Technologies and Assessments, "Artificial Intelligence in Modelling, Simulation and Control for Electric Vehicle Energy Storage System"
Supervision



