Lorenzo Bruzzone received the Laurea (M.S.) degree in electronic engineering (summa cum laude) and the Ph.D. degree in telecommunications from the University of Genoa, Italy, in 1993 and 1998, respectively.
He is currently a Full Professor of telecommunications at the University of Trento, Italy, where he teaches remote sensing, radar, and digital communications. Dr. Bruzzone is the founder and the director of the Remote Sensing Laboratory in the Department of Information Engineering and Computer Science, University of Trento. His current research interests are in the areas of remote sensing, radar and SAR, signal processing, machine learning and pattern recognition. He promotes and supervises research on these topics within the frameworks of many national and international projects. He is the Principal Investigator of many research projects. Among the others, he is currently the Principal Investigator of the Radar for icy Moon exploration (RIME) instrument in the framework of the JUpiter ICy moons Explorer (JUICE) mission of the European Space Agency (ESA) and the Science Lead for the High Resolution Land Cover project in the framework of the Climate Change Initiative of ESA. He is the author (or coauthor) of 247 scientific publications in referred international journals (183 in IEEE journals), more than 310 papers in conference proceedings, and 21 book chapters. He is editor/co-editor of 18 books/conference proceedings and 1 scientific book. His papers are highly cited, as proven from the total number of citations (more than 31500) and the value of the h-index (83) (source: Google Scholar). He was invited as keynote speaker in more than 32 international conferences and workshops. Since 2009 he has been a member of the Administrative Committee of the IEEE Geoscience and Remote Sensing Society (GRSS), where since 2019 he has been Vice-President for Professional Activities.
Dr. Bruzzone ranked first place in the Student Prize Paper Competition of the 1998 IEEE International Geoscience and Remote Sensing Symposium (Seattle, July 1998). Since that he was recipient of many international and national honors and awards, including the recent IEEE GRSS 2015 Outstanding Service Award, the 2017 IEEE IGARSS Symposium Prize Paper Award and the 2018 IEEE IGARSS Symposium Prize Paper Award, and the 2019 WHISPERS Oustading Paper Award. In the past years joint papers presented by his students at international symposia and Master/PhD theses that he supervised have received awards. Dr. Bruzzone is the co-founder of the IEEE International Workshop on the Analysis of Multi-Temporal Remote-Sensing Images (MultiTemp) series and is currently a member of the Permanent Steering Committee of this series of workshops. Since 2003 he has been the Chair of the SPIE Conference on Image and Signal Processing for Remote Sensing. He was a Guest Co-Editor of many Special Issues of international journals. From 2010 to 2012 he was the Editor-in-Chief of the IEEE GEOSCIENCE AND REMOTE SENSING NEWSLETTER. He has been the founder of the IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE for which he has been the Editor-in-Chief between 2013 and 2017. From 2004 to 2006 he served as an Associated Editor of the IEEE GEOSCIENCE AND REMOTE SENSING LETTERS. Currently he is an Associate Editor for the IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING. He has been Distinguished Speaker of the IEEE Geoscience and Remote Sensing Society between 2012 and 2016. He is a Fellow of IEEE and a member of the International Association for Pattern Recognition (IAPR) and of the Italian Association for Remote Sensing (AIT).
lorenzo.bruzzone (at) unitn.it
Francesca Bovolo Francesca Bovolo received the “Laurea” (B.S.), the “Laurea Specialistica” (M.S.) (summa cum laude) degrees in telecommunication engineering and the Ph.D. in Communication and Information Technologies from the University of Trento, Italy, in 2001, 2003 and 2006, respectively where she has been a research fellow until June 2013. She is the founder and the head of the Remote Sensing for Digital Earth unit at Fondazione Bruno Kessler (FBK), Trento, Italy since July 2013.
Her main research interests are in remote-sensing image processing, signal processing, and pattern recognition. Her interests are related to multitemporal image analysis, change detection in multispectral, hyperspectral, SAR images, time series analysis, domain adaptation, LiDAR and radar sounder systems. She conducts research and on these topics within the context of several national and international projects. She is the author (or coauthor) of 47 scientific publications in referred international journals (more than 40 in IEEE journals), more than 90 papers in conference proceedings, and 8 book chapters. She is editor/co-editor of 2 conference proceedings and 2 journal special issue. Her paper citations are more than 2900 and result in a value of the h-index of 26 (source: Google Scholar). Dr. Bovolo ranked first place in the Student Prize Paper Competition of the 2006 IEEE International Geoscience and Remote Sensing Symposium (Denver, August 2006). Since January 2011 she is an associate editor of the IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing and of the SPIE Journal of Applied Remote Sensing since 2015. She has been guest editor for the Special Issue on “Analysis of Multitemporal Remote Sensing Data” of the IEEE Transactions on Geoscience and Remote Sensing and for the Special issue on “Analysis of Multi-temporal Remote Sensing Images” of MPDI Remote Sensing. She has been the publication chair for International Geoscience and Remote Sensing Symposium 2015. Since 2014 she is co-chair of the SPIE International Conference on “Signal and Image Processing for Remote Sensing”. She has been the Technical Chair of the Sixth International Workshop on the Analysis of Multi-temporal Remote-Sensing Images (MultiTemp 2011). She is a member of the program and scientific committee of several international conferences and workshops and a referee for several international journals.
bovolo (at) fbk.eu
Massimo Zanetti I received the MS’s degree in Mathematics (summa cum laude) from the University of Ferrara, Department of Mathematics and Computer Science (Ferrara, Italy), and the PhD (cum laude) in Communication and Information Technologies from the University of Trento, Department of Information Engineering and Computer Science (Trento, Italy). Currently, I am a researcher at the Remote Sensing for Digital Earth Unit, Fondazione Bruno Kessler, (Trento, Italy). My research interests are mainly focused on image analysis in a wide sense. Some specific topics covered are multispectral/hyperspectral images change detection, time series analysis, variational methods for segmentation and numerical optimization methods for image processing problems.
Since my MS’s degree in Mathematics at the University of Ferrara, I begun studying remote sensing image problems both from the theoretical and applicative viewpoints. My MS’s thesis was focused on developing novel mathematical models for the segmentation of very high resolution aerial images and LiDAR data and it was written in collaboration with the Department of Civil, Environmental and Mechanical Engineering at the University of Trento. I continued my studies on remote sensing topics related to image analysis as a PhD student in the Information Engineering and Computer Science Department at the University of Trento. During my PhD, I have further expanded the range of my research interests towards multi- and hyper-spectral image analysis with emphasis on change detection applications. My PhD thesis includes contributions mainly related to numerical methods for remote sensing image analysis. More specifically: theoretical properties of tiling schemes applied to variational methods for large size images segmentation, and, statistical approaches to image modelling and related inference in the framework of change detection. The thesis has been awarded as best thesis of the year by two of the main Italian communities related to information engineering and remote sensing: Gruppo Telecomunicazioni e Tecnologie dell’Informazione (GTTI) and IEEE Geoscience and Remote Sensing Center-North Italy Chapter (IEEE GRS29-CNI).
My research is published on high-rated peer-reviewed international journals and presented at the main topic-related international conferences. I am reviewer for international journals in the fields of image analysis and processing, methods to numerical optimization for image problems and remote sensing applications. My activity involves contributions to remote sensing applications also in the context of several projects at both national and European levels (European Space Agency, Italian Ministry of Education, and others). These include development of advanced techniques for analysis of remote sensing images, exploitation of satellite-borne operational missions for time-series analysis, change detection and land cover mapping, study of the impact of land cover in climate changes through remote sensing data.
mazanetti (at) fbk.eu
Elena Donini received the “Laurea” (B.Sc.) degree in Electronics and Telecommunications Engineering, the “Laurea Magistrale” (M.Sc.) degree in Telecommunications Engineering (cum laude), and the Ph.D. in Information and Communication Technologies (cum laude) from the University of Trento, Italy, in 2015, 207, 2021, respectively. She is the recipient of the prizes for the 2022 Best Italian Ph.D. Thesis and 2018 Best Italian master Thesis in remote sensing awarded by the Italian Chapter of the IEEE Geoscience and Remote Sensing Society. She is currently a postdoctoral researcher at the Remote Sensing Laboratory of the University of Trento and the Remote Sensing for Digital Earth Unit of the Fondazione Bruno Kessler, Trento, Italy. Her research interests are related to the automatic analysis of radar sounder data for Earth observation and planetary exploration. She is a referee for several journals, including the IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING and the Astronomy & Astrophysics journals.
edonini (at) fbk.eu
Luca Bergamasco Luca Bergamasco received the “Laurea” (B.Sc.) degree in Electronics and Telecommunication Engineering, the “Laurea Magistrale” (M.Sc.) degree in Information and Communication Engineering, and the Ph.D. in Information and Communication Technologies (cum laude) from the University of Trento, Italy, in 2016, 2018, and 2022, respectively. He is the recipient of the prizes for the 2019 Best Three Italian Master thesis and the 2023 Best Three Italian PhD thesis in Geoscience and Remote Sensing awarded by the Italian Chapter of the IEEE Geoscience and Remote Sensing Society. He is currently a postdoctoral researcher at the Remote Sensing for Digital Earth Unit (RSDE) at the Fondazione Bruno Kessler (FBK), Trento, Italy. He is a referee for several journals, including the IEEE Transactions on Geoscience and Remote Sensing and the IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. His research interests are related to remote sensing data analysis through machine learning, pattern recognition, and deep learning techniques. Some research topics involve Deep Learning methods for multitemporal image analysis, change detection in multispectral, hyperspectral, SAR, multi-modal data, time series analysis, and domain adaptation.
lbergamasco (at) fbk.eu
Miguel Hoyo García received his Bachelor’s degree in Telecommunications Technologies Engineering and the Master’s Degree in Telecommunications Engineering from the University of Granada, Spain, in 2014 and 2016, respectively. He is currently pursuing the Ph.D. degree as member of the Remote Sensing Laboratory at the Department of Information and Communication Technologies, University of Trento and the Remote Sensing for Digital Earth Unit, Fondazione Bruno Kessler, Trento, Italy. His research interests are related to the processing of radar sounder data of the subsurface through machine learning, pattern recognition and deep learning techniques.
mhoyogarcia (at) fbk.eu
Khatereh Meshkini received her Bachelor's degree in Electrical Engineering from Zanjan University, Zanjan, Iran, in 2013; and her Master's degree in Telecommunication Engineering from Science and Research University, Tehran, Iran, in 2016. She is currently pursuing a Ph.D. degree as a member of the Remote Sensing Laboratory at the Department of Information and Communication Technologies, University of Trento and the Remote Sensing for Digital Earth Unit, Fondazione Bruno Kessler, Trento, Italy. Her research interests are related to remote sensing environmental applications, satellite image time series analysis, change detection, feature extraction and image classification.
mkhatereh (at) fbk.eu
Raktim Ghosh received Bachelor of Engineering (BE) degree in Mining Engineering from the Indian Institute of Engineering Science and Technology, Shibpur and received Master of Science degree in Geo-information Science and Earth Observation with a specialisation in Geoinformatics under the joint education programme (JEP) between the Indian Institute of Remote Sensing, ISRO and Faculty of Geo-information Science and Earth Observation (ITC), University of Twente. Currently, he is pursuing the PhD degree as a joint member of the Remote Sensing Laboratory at the Department of Information and Communication Technologies, the University of Trento and the Remote Sensing for Digital Earth Unit, Fondazione Bruno Kessler, Trento, Italy. His active research interests are related to the automatic analysis of radar sounders data for investigating the subsurface features.
raghosh (at) fbk.eu
Jing Zhang received a master’s degree in software engineering from Beijing University of Technology. She is currently a Ph.D. student in the department of Information Engineering and Computer Science at University of Trento, Italy. Her current research interests include sematic change detection and remote sensing image processing.
jing.zhang-1 (at) unitn.it
Indira Aprilia Listiani received her B.Sc. in Geological Engineering from Middle East Technical University in Ankara, Turkey in 2018; and her M.Sc. in Geodetic and Geographic Information Technologies from Middle East Technical University in Ankara, Turkey in 2021. She is currently pursuing her Ph.D. as a joint member of the Remote Sensing Laboratory at the Department of Information and Communication Technologies at the University of Trento and the Remote Sensing for Digital Earth Unit, Fondazione Bruno Kessler, in Trento, Italy. Her research interests are related to the applications of geographic information systems, remote sensing, and machine learning for environmental and climate change adaptation studies.
ilistiani (at) fbk.eu
Ludovica Maria Beati Beati received the “Laurea” (B.Sc.) degree in Engineering of Computing Systems from the Politecnico di Milano in 2019, and the “Laurea Magistrale” (M.Sc.) degree in Information and Communication Engineering from the University of Trento in 2021. She is currently a Ph.D. student at the Department of Information Engineering and Computer Science, University of Trento, Italy. Her research interests are related to planetary radar sounders for studying the subsurface of the planets of the Solar
system.
ludovicamaria.beati (at) unitn.it
Marco Cortellazzi received the “Laurea” (B.Sc.) degree in Electronics and Telecommunication Engineering and the “Laurea Magistrale” (M.Sc.) degree in Information and Communication Engineering from the University of Trento, Italy, in 2017 and 2021, respectively. He is currently a Ph.D. student in Information Engineering and Computer Science at the Remote Sensing Laboratory (RSLab) of the University of Trento, Italy. His research interests are related to the use of radar sounders and data simulations for space exploration missions.
marco.cortellazzi (at) unitn.it
Jordy Dal Corso received his Bachelor's degree in Applied Mathematics and his Master’s degree in Data Science from the University of Verona, Italy, in 2020 and 2022 respectively. He is a former member of the Machine and Human Intelligence Laboratory at the University of Helsinki and he is currently pursuing a Ph.D. degree as a member of the Remote Sensing Laboratory at the Department of Information Engineering and Computer Science, University of Trento, Italy. His research interests are related to deep learning applied to efficient and automated analysis of data acquired from planetary radars.
jordy.dalcorso (at) unitn.it
Mattia Ferrari received the bachelor’s degree and the master’s degree (summa cum laude) in Information and Communication Engineering from the University of Trento, Italy, in 2020 and 2022, respectively. He is currently a PhD student in Information and Communication Technology at the Remote Sensing Laboratory of the University of Trento. His research interests involve deep learning techniques for the analysis of satellite remote sensing images.
mattia.ferrari-2 (at) unitn.it
Yongjie Zheng received the M.S. degree in photogrammetry and remote sensing from Tongji University, Shanghai, China. She is currently a Ph.D. student in the Department of Information Engineering and Computer Science, University of Trento, Italy. Her research interests include artificial intelligence, multimodal change detection and high-resolution image processing.
yongjie.zheng (at) unitn.it
Milkisa Yebasse received master’s degree in computer engineering at Kumoh National Institute of Technology. Currently, he is a Ph.D. student at the Department of Information Engineering and Computer Science at University of Trento, Italy. His research interests include computer vision, deep learning, and application of machine learning and artificial intelligence for planetary radars.
milkisa.yebasse (at) unitn.it
Lisa Molaro received her Bachelor’s degree in Geology from the University of Trieste, Italy, and her Master’s degree in Geological Sciences and Technologies of Earth and Planets from the University of Chieti – Pescara, Italy, in 2020 and 2022 respectively. She is currently pursuing a Ph.D. degree as a member of the Remote Sensing Laboratory at the department of Information Engineering and Computer Science, University of Trento, Italy. Her research interests are related to the study of planetary surfaces and interiors from remote sensing data.
lisa.molaro (at) unitn.it
Prashant Pandit After studying Mathematics in India, I Joined the ITC Faculty of Geo-information science and earth observations, University of Twente, the Netherlands, where I completed my Master’s Spatial Engineering in August 2022. In my PhD at the department of Information Engineering and Computer Science, the University of Trento, I am working closely with MASSIVE (MAchine learning, Surface mass balance of glaciers, Snow cover, In-situ data, Volume change and Earth observation) Project at Eurac (Bolzano, Italy). My research interest includes the use of multi-sensor satellite data and ML (Machine learning) and DL (Deep Learning) for Glacier studies.
prashant.pandit (at) unitn.it
Milena Atanasova finished her Bachelor’s degree in Business and Economics (cum laude) at University of Bologna (with one year at McGill University in Canada) in 2020, and received her Master’s degree in Data Science (cum laude) from the University of Trento in 2023. She is beginning the pursuit of a PhD in Artificial intelligence for remote sensing time series analysis. Her interests include deep learning analysis of multitemporal multispectral and hyperspectral optical remote sensing data.
milena.atanasova (at) unitn.it
Aadhithya Sankara Narayanan received Integrated Master's degree (M.Tech) in Geoinformatics from Central University of Jharkhand, Ranchi. Currently she is pursuing Phd degree as a member of Remote Sensing Laboratory at the Department of Information and Communication Technology (ICT), University of Trento, Italy. Her research topics is Automatic analysis of hyper-spectral and multi-spectral satellite remote sensing images using Artificial Intelligence and Machine Learning techniques. Her research interests are related to application of artificial intelligence, Digital image processing to remote sensing data, multi-sensor satellite data fusion.
a.sankaranarayanan (at) unitn.it
Aanchal Sharma received her Bachelor of Technology (B.Tech) degree in Electronics and Communication from JNGEC Sundernagar and Master of Technology (M.Tech) degree in Remote Sensing & GIS with a specialisation in Satellite Image Analysis and Photogrammetry from the Indian Institute of Remote Sensing, Indian Space Research Organisation, Dehradun, India. Currently, she is pursuing a Ph.D. as a member of the Remote Sensing Laboratory within the Department of Information and Communication Technologies at the University of Trento, Italy. Her research interests are in radar signal processing, machine learning algorithms, and planetary geology.
aanchal.sharma (at) unitn.it
Giulio Vaccari received the "Laurea" (B.Sc.) degree in Computer Science from the Alma Mater Studiorum - University of Bologna in 2018 and the "Laurea Magistrale" (M.Sc.) degree in Artificial Intelligence from the Alma Mater Studiorum - University of Bologna in 2023. He is currently a Ph.D. student at the Remote Sensing Laboratory, Department of Information Engineering and Computer Science, University of Trento, Italy. His research interests are related to the development of new machine learning-based methodologies for the analysis of remote sensing data acquired in planetary and/or Earth observation space missions.
giulio.vaccari (at) unitn.it
Houcai Guo received the Master of Science (M.Sc.) degree in Remote Sensing of Geographical Environment from the School of Geography, Nanjing Normal University,
China. He is currently a Ph.D. student at the Remote Sensing Laboratory, Department of Information Engineering and Computer Science, University of Trento, Italy. His research interests include the registration, spatiotemporal fusion, and time-series analysis of remote sensing images.
houcai.guo (at) unitn.it
Hao Liu received the Bachelor's and Master's degree in Electronic Information Engineering from Xidian University, China, in 2021 and 2024, respectively. He is currently a Ph.D. student in the Department of Information Engineering and Computer Science at University of Trento in Italy. His research interests lie in applying deep learning algorithms to facilitate the fusion and interpretation of multi-source remote sensing data.
hao.liu (at) unitn.it
Jana Wicklein received a joint Bachelors degree in New Media from the City University of Hong Kong, and the Leuphana University in Lüneburg, Germany. She received her Master’s degree in Data Science (cum laude) from the University of Trento, Italy. She is beginning the pursuit of a PhD as a joint member of the Forest Ecology unit at the Edmund Mach Foundation and the Remote Sensing Laboratory at the University of Trento. Her research interests are related to the development of automatic techniques for forest monitoring using remote sensing satellite time series.
janaannika.wicklein (at) unitn.it
Ronja lappe is currently conducting a PhD in glaciology and remote sensing at the Norwegian University of Science and Technology in Trondheim, Norway. Before she worked as a researcher at the German Aerospace Center with a background in Applied Earth Observation and Geoanalysis (M.Sc. at Wuerzburg University) and Physical Geography (B.Sc. at Goethe-University Frankfurt). She is especially interested in using satellite data and field observations to analyze cryospheric and hydrological processes on Earth’s surface.
rlappe (at) fbk.eu
Zhiyong Yin received the B.S. and M.S. degree from Central South University, Changsha, China, in 2018 and 2021, respectively. He is currently pursing the Ph.D. degree in the School of Geosciences and Info-Physics, Central South University, Changsha, China. His research interests include Arctic sea ice monitoring and dynamic object detection with satellite video data.
zyin (at) fbk.eu
Xuming Zhang received her Bachelor's and Master's degrees from China University of Petroleum (East China), Qingdao, China, in 2018 and 2021, respectively. Currently, she is pursuing a Ph.D. in Geography at Nanjing University, Nanjing, China, while concurrently serving as a visiting Ph.D. student at the Department of Information Engineering and Computer Science, University of Trento, Italy. Her research focuses on hyperspectral and high-resolution remote image processing, multisensor data fusion, deep learning and its applications.
xuming.zhang (at) studenti.unitn.it
Yuhan Kang received the B.S. degree from the College of Science, Sichuan Agricultural University, China, in 2020. He is currently pursuing a Ph.D. degree in control science and engineering at Hunan University, China. He is also a visiting Ph.D. student at the Department of Information Engineering and Computer Science, University of Trento, Italy. His research interests include computer vision applications in remote sensing, especially image generation, domain adaptation, and image processing.
yuhan.kang (at) studenti.unitn.it
Huajing Wu received her Bachelor's and Master's degrees from Kunming University of Science and Technology, Kunming, China, in 2017 and 2020, respectively. Currently, she is pursuing a Ph.D. in geodesy and surveying engineering with the School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, China, while concurrently serving as a visiting Ph.D. student at the Department of Information Engineering and Computer Science, University of Trento, Italy. Her research focuses on spatial-spectral fusion and spatio-temporal fusion for remote sensing images, hyperspectral image processing, deep learning and its applications.
huajing.wu (at) guest.unitn.it
