People
Faculty Members
ANDREA CASTELLETTI
Lab Head - Full Professor
MATTEO GIULIANI
Assistant Professor
Matteo Giuliani is assistant professor in the Environmental Intelligence Lab. 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.
Research team
WYATT ARNOLD
Research Fellow
Wyatt Arnold is a research fellow at the EI Lab. He received his MSc degree in Civil and Environmental Engineering from the University of California Davis in 2021. Prior to joining the EI Lab, Wyatt worked as a water resources engineer for the California Department of Water Resources on climate change vulnerability and adaptation planning for the State’s regional water supply system and watershed-scale multi-objective assessments of flood and drought risk. His research interests include hydro-economic modeling of multi-reservoir conjunctive use systems, optimization under uncertain non-stationarity, and formulation of robust and flexible plans for food-water-energy security and sustainability.
GUIDO ASCENSO
Post Doc Research Fellow
Guido Ascenso is a post-doctoral researcher at the EI Lab in the Department of Electronics, Information and Bioengineering at Politecnico di Milano. His academic career includes a BSc in Biomedical Engineering from Politecnico di Milano and an MSc in Sports Biomechanics from Robert Gordon University; he is currently waiting to receive his PhD in Applied Deep Learning from Manchester Metropolitan University. His current research focuses on the application of deep learning methods to model extreme events like cyclones. His research interests also include computer vision, shortcut learning, and causality.
ANDREA FICCHÌ
Post Doc Research Fellow
Andrea Ficchì is a post-doctoral researcher at the EI Lab at Politecnico di Milano. He received a MSc degree in Environmental and Land Planning Engineering from Politecnico di Milano in 2013, after an internship at IRSTEA (now INRAE) in Montpellier and a visiting period at TU Delft on real-time control of water reservoirs using ensemble weather forecasts. He received a PhD in Hydrology from University Pierre et Marie Curie (Paris) in 2017, after working as a researcher at IRSTEA in Antony (France) on the development of hydrological models across sub-daily temporal scales for flood forecasting applications. From 2017 to 2021, he has worked as part of the FATHUM project at the University of Reading and as a visiting scientist at ECMWF, contributing to the use and evaluation of a global flood prediction system (the Copernicus EMS – Global Flood Awareness System) to support humanitarian early actions across sub-Saharan Africa, especially in Mozambique and Uganda. His main research areas include hydro-meteorological forecasts, decision-making under uncertainty, forecast-based action, hydrological modelling, African hydrology, and climate teleconnections.
PAOLO GAZZOTTI
Post Doc Research Fellow
Dr. Paolo Gazzotti is a Postdoctoral Researcher at the EI Lab. He received his B.S. and M.S. in Computer Science and Engineering in the same institution. His research focuses on Integrated Assessment Models and Agent-Based Modeling techniques to assess optimal climate change mitigation policies and explore negotiation strategies in international climate agreements.
ELENA MATTA
Post Doc Research Fellow
MARCO MICOTTI
Senior research associate
SANDRA RICART
Post Doc Research Fellow
Dr. Sandra Ricart is a human-environment geographer, currently a Marie Sklodowska-Curie Action IF post-doctoral researcher at the EI Lab. She received her bachelor’s in Geography and master’s degree in Environmental Sciences from the University of Girona, Spain, and a Ph.D. in Experimental Sciences and Sustainability at the same institution. Her research interests include the management and governance of water resources in socio-ecological systems and farmers’ behavior regarding climate change impacts and adaptation measures through stakeholder analysis and social-learning approaches. Sandra co-authored more than thirty publications in JCR and Scopus journals, attended about fifty national and international conferences, and participated in several international and national research projects, while collaborating with universities and research centres from Spain, the Netherlands, and New Zealand. Since 2017 she is lecturer at the Masters in Planning and management of natural risks by the University of Alicante (Spain).
MATTEO SANGIORGIO
Post Doc Research Fellow
GUANG YANG
Post Doc Research Fellow
Guang Yang is a post-doctoral researcher at the EI Lab. He received his Ph.D. in Hydrology and Water Resources from Wuhan University (China) in 2018 and was awarded the Outstanding Doctoral Dissertation in Water Resources, China, after a visiting period at Georgia Institute of Technology (USA). From 2018 to 2020, he worked as a postdoctoral scholar in the Department of Civil and Environmental Engineering at the University of Wisconsin-Madison (USA). His research focuses on multi-objective water resources operations, adaptive reservoir operations under climate change, and decision support systems based on statistical learning.
PHD Students
ANGELO CARLINO
PHD student
MARCO TANGI
PHD student
WENJIN HAO
Phd student
MICHELE MAURI
Phd student
Michele Mauri is a PhD student in Information Technology at the EI Lab. He received his MSc in Mathematical Engineering from Politecnico di Milano in 2020. He is interested in climate-economics integrated assessment modelling and multi-objective optimization for climate policies and their application to the water-energy-food nexus.
Visiting PHD Students
CARLOTTA VALERIO
University of Trento
ROHINI GUPTA
Cornell University
DAVID GOLD
Cornell University
DANIEL CRESPO
University of Zaragoza
Daniel Crespo is a PhD candidate in Economics at the University of Zaragoza, Spain, in the Department of Economic Analysis. He completed the BSc and MSc degrees in Economics at the same university. He has a PhD scholarship at the Department of Agricultural and Natural Resources Economics, Centro de Investigación y Tecnología Agroalimentaria, CITA-Government of Aragon, Spain. He is interested in investigating environmental and natural resources economics, environmental and agricultural policies, water modelling and optimization, water management, water scarcity and droughts, and climate change topics.
Master Students
Past theses of eiLab students are available HERE.