ABOUT

Andrea Marinoni is an associate professor of Applied Remote Sensing with the Earth Observation group, Centre for Integrated Remote Sensing and Forecasting for Arctic Operations (CIRFA), Dept. of Physics and Technology, UiT the Arctic University of Norway, Tromsø, Norway, where he leads the Earth Observation innovation area of Visual Intelligence SFI.

​

He received the B.S., M.Sc. “cum laude” and Ph.D. degrees in Electronic Engineering from the University of Pavia, Pavia, Italy, in 2005, 2007 and 2011, respectively.

​

From 2013 to 2018, he has been a research fellow at Telecommunications and Remote Sensing Lab., Dept. of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy. He has been a visiting researcher at the Communications Systems Lab., Dept. of Electrical Engineering, University of California – Los Angeles (UCLA), Los Angeles, CA, USA (2009); Earth and Planetary Image Facility, Ben-Gurion University of the Negev, Be’er Sheva, Israel (2015); School of Geography and Planning, Sun Yat-Sen University, Guangzhou, P.R.C. (2016-2017); School of Computer Science, Fudan University, Shanghai, P.R.C. (2016); Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, P.R.C. (2016-2017); Instituto de Telecomunicações, Instituto Superior Tecnico, Universidade de Lisboa, Lisbon, Portugal (2017). In 2020 and 2021 he has been a visiting professor at dept. of Electrical, Computer, and Biomedical Engineering, University of Pavia, Pavia, Italy. In 2022, he has been a visiting professor at the Dept. of Environmental Science, Policy and Management, University of California at Berkeley, CA, USA. Since 2020, he is a visiting academic fellow at the Dept. of Engineering, University of Cambridge, UK.

​

In 2011, he has been the recipient of the two-year “Applied research grant”, sponsored by the Region of Lombardy, Italy, and STMicroelectronics N.V.. In 2017, he has been the recipient of the INROAD grant, sponsored by University of Pavia and Fondazione Cariplo, Italy, for supporting excellence in design of ERC proposal. In 2018, he has been the recipient of the “Progetto professionalità Ivano Becchi” grant funded by Fondazione Banco del Monte di Lombardia, Italy, and sponsored by University of Pavia, Italy and NASA Jet Propulsion Laboratory, Pasadena, CA, for supporting the development of advanced methods of air pollution analysis by remote sensing data investigation. He has been the recipient of Åsgard Research Programme and Åsgard Research+ grants funded by Institut Français de Norvège, Oslo, Norway, in 2019 and 2020, respectively, for supporting the development of scientific collaborations between French and Norwegian research institutes. He has been the recipient of the Peder Sather grant award funded by the Peder Sather Foundation.

​

His main goal is to assess, infer and predict the interactions between human and environment. To this aim, his research is focused on the development of machine learning and data analysis methods for reliable information extraction on these interactions and their implications for human welfare from multimodal datasets, as well as on the implementation of frameworks for reliable decision-making processes for sustainable development.

​

He is the founder and current chair of the IEEE GRSS Norway chapter. He is an ambassador for IEEE Region 8 Humanitarian activities. He is leader of IEEE GRSS Geoscience and Remote Sensing Society School (GR3S) committee, for the organization of the schools sponsored by IEEE GRSS worldwide. He is  a research contact point for the Norwegian Artificial Intelligence Research Consortium (NORA – http://www.nora.ai). He is a topical associate editor for machine learning for IEEE Transactions on Geoscience and Remote Sensing and IEEE Journal of Selected Topics in Applied Earth Observations. He has served as guest editor for four special issues of IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing on multimodal remote sensing data analysis and sustainable development.