{"id":18,"date":"2025-12-07T10:02:20","date_gmt":"2025-12-07T10:02:20","guid":{"rendered":"https:\/\/sites.unimi.it\/dasacaf\/?page_id=18"},"modified":"2026-01-08T15:25:44","modified_gmt":"2026-01-08T15:25:44","slug":"project-members","status":"publish","type":"page","link":"https:\/\/sites.unimi.it\/dasacaf\/project-members\/","title":{"rendered":"Project Members"},"content":{"rendered":"\n
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Alessandro Benfenati is the Principal Investigator of the DaSACaF project. His research area is numerical analysis, with particular focus on optimization methods. In the last years he focused on deep learning and artificial intelligence aspects, aiming to open the black boxes for determine how and why neural networks and the like are working so well.
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Alessandra Micheletti is an associate professor of University of Milan. Her research interests lie in Stochastic Geometry, Mathematical morphology, Statisccs of space-time processes, Topological & Geometrical data Analysis, Statistical methods for big data treatment, with particular focus on application to Material Science, Biology, Medicine, Industrial Problems, Agriculture. Webpage<\/a>.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Rongao Ji is a post-doc researcher.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Roberto Confalonieri is a Full Professor at the University of Milan. His research interests focus on agroecological modelling, simulation of biophysical processes, crop yield forecasting, and climate change impacts on agriculture and food security. His work also includes the development and evaluation of robust biophysical models, statistical methods for experimental design, decision-support tools, and digital technologies for precision agriculture. He coordinates national and international research projects and leads the CASSANDRA Lab. Website<\/a>.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Livia Paleari is a Tenure Track Researcher at University of Milan.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Alessandro Olper is full professor at University of Milan. \u00a0His main research interests focus on agriculture and food trade, Political economy of trade and environmental policy and climate econometrics. He has been consultant for different national and international institutions, such as FAO, the World Bank and the European Commission.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Daniele Cavicchioli is an associate professor at Environmental and Science Policy department. His research interests cover various topics on agricultural and food economics, ranging from farm sector to the entire food supply chain. Recently, he’s developing interest for the economics of honey sector, wine tourism and for emerging value chains in the bieconomy.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Danilo Bertoni is associate professor at University of Milan. <\/p>\n<\/div>\n<\/div>\n\n\n\n

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Laura Priscilla Penate Lopez is a Ph.D. student. Her interests lie in environmental, social and economic sustainability and agricultural innovation.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Maurizio Maugeri is a full professor at University of Milan. His research focuses on climate reconstruction for Italy, the Alpine region, and the Mediterranean over the last 200\u2013250 years, and on the impacts of climate variability and change on sectors such as energy and water resources. He studies climate change signals in tree rings, the evolution of the Alpine and Asian high-mountain cryosphere, and develops climate services, citizen science initiatives, and tools for climate change communication.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Davide Nicoli is a post-doc researcher. <\/p>\n<\/div>\n<\/div>\n\n\n\n

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Francesco Fava if associate professor at University of Milan. His research activity regards in agronomy and agroecology, environmental monitoring, and remote sensing applied to agroecosystem studies, with a particular focus on agro-silvo-pastoral socio-ecological systems.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Marta Colombo is a Research Fellow at University of Milan.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Rodolfo Isaac Ceriani is a Ph.D. student at University of Milan. His main interest lie in applying geospatial big data, machine learning, and cloud computing to environmental sciences.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Alessandro Benfenati is the Principal Investigator of the DaSACaF project. His research area is numerical analysis, with particular focus on optimization methods. In the last years he focused on deep learning and artificial intelligence aspects, aiming to open the black boxes for determine how and why neural networks and the like are working so well. […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-18","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/sites.unimi.it\/dasacaf\/wp-json\/wp\/v2\/pages\/18","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sites.unimi.it\/dasacaf\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sites.unimi.it\/dasacaf\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sites.unimi.it\/dasacaf\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.unimi.it\/dasacaf\/wp-json\/wp\/v2\/comments?post=18"}],"version-history":[{"count":11,"href":"https:\/\/sites.unimi.it\/dasacaf\/wp-json\/wp\/v2\/pages\/18\/revisions"}],"predecessor-version":[{"id":73,"href":"https:\/\/sites.unimi.it\/dasacaf\/wp-json\/wp\/v2\/pages\/18\/revisions\/73"}],"wp:attachment":[{"href":"https:\/\/sites.unimi.it\/dasacaf\/wp-json\/wp\/v2\/media?parent=18"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}