Short Bio
Matteo Giuliani is assistant professor in the Environmental Intelligence Lab at Politecnico di Milano. He graduated with a double MSc degree in Environmental and Land Planning Engineering from Politecnico di Milano and Politecnico di Torino in 2010, and obtained the Diploma of the Alta Scuola Politecnica — V cycle in 2011. He received a PhD in Information Technology from Politecnico di Milano in 2014, after a visiting period at Penn State University (PA, USA). He was then post-doctoral research fellow and, since November 2016, he is assistant professor in the Department of Electronics Information and Bioengineering of Politecnico di Milano. From 2018 to 2020, he was Academic Guest at ETH Zurich for a collaboration with the Swiss Competence Center for Energy Research Supply of Electricity (SCCER-SoE). The primary focus of his research is the integrated management of water resources in complex engineering systems involving multiple actors and exposed to evolving multisectoral demands and global change; his main research areas include multi-objective optimization and control algorithms, decision-making under uncertainty, machine learning and multi-agent systems. He is member of the IFAC Technical Committee on Modelling and Control of Environmental Systems, the ASCE/EWRI Environmental & Water Resources Systems Technical Committee, and the AGU Water & Society Technical Committee. He is currently serving as Section Editor for the Journal of Water Resources Planning and Management, and as Associate Editor for the Journal of Hydrology and the Frontiers in Water – Section on Water and Artificial.
Education
- PhD in Information Technology, Politecnico di Milano, 2014
- Alta Scuola Politecnica Diploma – V cycle, 2011
- MSc in Environmental and Land Planning Engineering, Politecnico di Milano and Politecnico di Torino, 2010
- BSc in Environmental and Land Planning Engineering, Politecnico di Milano, 2008
Awards
- National Champion of the Frontiers Planet Prize 2023 for the paper Unintended consequences of climate change mitigation for African river basins published on Nature Climate Change
- 2021 EGU Outstanding Early Career Scientist Award for the Hydrological Sciences Division
- 2021 Best Research Paper Award for the paper Integrated Design of Dam Size and Operations via Reinforcement Learning on the Journal of Water Resources Planning and Management
- Early Career Research Excellence Award by the international Environmental Modelling & Software society, 2018
- WssTP Innovation Awards 2018 – Digital Water Prize for the SmartH2O project
- European Foundations Award for Responsible Research & Innovation for the IMRR – Integrated and sustainable water Management of Red-Thai Binh Rivers System in changing climate project
- Outstanding Reviewer Award, Journal of Water Resources Planning & Management, 2016
- 2016 Best Research Paper Award for the paper Multiagent Systems and Distributed Constraint Reasoning for Regulatory Mechanism Design in Water Management published on the Journal of Water Resources Planning and Management
- IDEAS/AAMAS 2016 Best Paper Award for the paper Using Multiagent Negotiation to Model Water Resources Systems Operations presented in the IDEAS workshop of AAMAS 2016 conference
- Best Young Researcher Contribution Award for the presentation Modeling water user behaviour: from smart metered data to agent based modeling at the Smart Systems for Water Management summer school 2016 (ex-equo with Andrea Cominola)
- Premio Rotary alla Ricerca for young scientists, 2015.
- Outstanding AGU Reviewer Award, Water Resources Research, 2015
- Outstanding Reviewer Award, Journal of Water Resources Planning & Management, 2014
Teaching
- Advanced Environmental Systems Analysis [2nd mod]
- Natural Resources Management [1st mod]
- Participatory and Integrated Water Resources Planning – Laboratory (ETH Zurich)
- Students supervision
Active research projects
- 2023-2025 | SAHARA: storage enhanced drought management for resilient river basins (PRIN PNRR)
- 2022-2026 | SOS Water: Water Resources System Safe Operating Space in a Changing Climate and Society (EU Horizon)
- 2021-2025 | CLINT: CLImate INTelligence: extreme events detection, attribution and adaptation design using machine learning (EU-H2020)
- 2021-2025 | GONEXUS: Innovative tools and solutions for GOverning the water-energy-food-ecosystems NEXUS under global change (EU-H2020)
- 2020-2023 | AWESOME: mAnaging Water, Ecosystems and food across sectors and Scales in the sOuth MEditerranean (EU-H2020-PRIMA)
Recent Publications
- Arnold, W., M. Giuliani, and A. Castelletti (2024), Floating photovoltaics may reduce the risk of hydro-dominated energy development in Africa, Nature Energy
- Quinn, J.D., P.M. Reed, M. Giuliani, and A. Castelletti (2024), Average domination: A new multi-objective value metric applied to assess the benefits of forecasts in reservoir operations under different flood design levels, Advances in Water Resources, 185, 104638
- Salcedo-Sanz, S., J. Perez-Aracil, G. Ascenso, J. del Ser, D. Casillas-Perez, C. Kadow, D. Fister, D. Barriopedro, R. Garcia-Herrera, M. Giuliani, and A. Castelletti (2024), Analysis, characterization, prediction, and attribution of extreme atmospheric events with machine learning and deep learning techniques: a review, Theoretical and Applied Climatology, 155, 1-44
- Crippa, N., M.G. Grillakis, A. Tsilimigkras, G. Yang, M. Giuliani, and A.G. Koutroulis (2023), Seasonal forecast-informed reservoir operation. Potential benefits for a water-stressed Mediterranean basin, Climate Services, 32, 100406
- Carlino, A., M. Wildemeersch, C.J. Chawanda, M. Giuliani, S. Sterl, W. Thiery, A. van Griensven, and A. Castelletti (2023), Declining cost of renewables and climate change curb the need for African hydropower expansion, Science, 381, eadf5848
Full list of publications | Google Citations Profile | Recent Presentations