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  • Coordinators
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 29000) and the value of the h-index (78) (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. 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) ing.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    


  • Research Fellows
Claudia Paris received the "Laurea" (B.S.), the "Laurea Specialistica" (M.S.) degrees in Telecommunication Engineering and the Ph.D. in Information and Communication Technologies from the University of Trento, Italy, in 2010, 2012, 2016, respectively. She accomplished the Honors Master Program in Research within the Master Degree in Telecommunication Engineering in 2012. Since 2014 she is a teaching assistant at the Electronic and Telecommunication Engineering department of the University of Trento, Italy. In 2014 she was a visiting PhD student at the Rochester Institute of Technology (RIT), Rochester, USA, working on the fusion of airborne and terrestrial LiDAR data. She is currently Assistant Professor in the Department of Information Engineering and Computer Science, University of Trento, Italy. Her main research interests include remote sensing, signal and image processing, LiDAR data analysis and their fusion with hyperspectral images. She conducts research on these topics within projects on the estimation of forest dendrometric variables by using LiDAR and Hyperspectral data. She is working on the analysis of multitemporal images acquired by the ESA Sentinel 2 satellite constellation in the context of the Scientific Exploitation of Operational Missions Sentinel-2 for Science ESA program. She is a referee for the IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING and IEEE GEOSCIENCE AND REMOTE SENSING LETTERS.

claudia.paris (at) unitn.it    


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    


Milad Niroumand-Jadidi received the B.Sc. degree in Geomatics Engineering from University of Tabriz, Tabriz, Iran, in 2009. He received his M.Sc. degree in Remote Sensing Engineering from K.N. Toosi University of Technology, Tehran, Iran, in 2013. Then, he earned a joint Ph.D. degree in Civil and Environmental Engineering from University of Trento, Trento, Italy and Freie Universität Berlin, Berlin, Germany, in 2017. He is currently a postdoctoral researcher at the Remote Sensing for Digital Earth (RSDE) unit of the Fondazione Bruno Kessler (FBK). He has received several international awards. Among those, he has received the best paper award from SPIE Remote Sensing conferences for three years in a row (2015 in Toulouse, 2016 in Edinburgh and 2017 in Warsaw). He is also a recipient of award for potential long range contribution to the field of optics and photonics from SPIE (The international society for optics and photonics) in 2016. Dr. Niroumand-Jadidi is also a referee for international journals including Remote Sensing of Environment, Remote Sensing, Sensors and Water. His main research interests include quantitative remote sensing for monitoring inland/coastal waters. Analysis of optical imagery, radiative transfer modeling and spectroradiometry experiments have been key elements of his research.

mniroumand (at) fbk.eu    


Yady Tatiana Solano Correa received the Bachelor (B.S.) degree in Physics Engineering (honorable mention) at the University of Cauca, Cauca, Colombia, in 2011; and the Ph.D. (cum laude) in Communication and Information Technologies from the University of Trento, Dept. of Information Engineering and Computer Science (Trento, Italy), in 2018. She worked as a researcher and teaching assistant for the research groups: Optics and Laser Group (GOL) and Environmental Studies Group (GEA) from 2009 to 2013. She is currently a postdoctoral researcher at the Remote Sensing for Digital Earth unit at FBK, Trento, Italy. She is a member of the RSLab at the University of Trento, Italy. Her research interests include remote sensing environmental applications, change detection, both on medium resolution multispectral images (e.g. Landsat, Sentinel-2) and Very High Resolution (VHR) images, multitemporal analysis of short and long-time series, multisensor multitemporal image pre-processing and information extraction, pattern recognition and image classification. She works, and has worked, within the context of several projects with focus on analysing information for climate change and developing advanced change detection techniques for optical satellite time series data. Among them: (1) RICCLISA – Interinstitutional network of climate change and food security, Colombia. Founded by the Colombian administrative department of Science, Technology and Innovation - COLCIENCIAS, (2) MS-TS - Analysis of MultiSensor VHR image Time Series, in collaboration with Digital Globe Foundation and (3) SEOM – Scientific Exploitation of Operational Missions – S2-4Sci Land and Water – Multi-temporal Analysis. Founded by European Space Agency (ESA). She is a referee for the IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING and IEEE GEOSCIENCE AND REMOTE SENSING LETTERS journals. She won the best student oral presentation award at the “MultiTemp 2017 Conference”, held in June 2017 in Bruges, Belgium.

solano (at) fbk.eu    


Leonardo Carrer I received the B.S. degree in Telecommunication engineering from the University of Rome La Sapienza, Rome, Italy, in 2010, and the M.Sc. in Electrical Engineering: Telecommunication Track with honours from TU Delft, Delft, the Netherlands in 2012. I am currently pursuing a joint Ph.D. degree in information and communication technologies from the University of Trento, Trento, Italy, and Thales Alenia Space Italia, Rome, Italy. My research interests include radar sounders engineering, performance models, and advanced signal processing. In 2013, I was a full-time Radar System Engineer in Thales Alenia Space Italia. In 2017, I was a visiting PhD student at Stanford University, California, United States working on passive radio sounding of icy moons using non-white jovian noise. I am a member of both the industrial and scientific team working on the RIME (Radar for Icy Moon Exploration) instrument which will be on-board the upcoming ESA mission JUICE (JUpiter ICy moons Explorer) to the Jupiter system. In 2016, I was the recipient of the best student paper award of the SPIE Remote Sensing conference with a work on bio-inspired radar. In the same year, I was the recipient of the Leonardo/Finmeccanica Thales Alenia Space Innovation Award (“Premio Innovazione”) for the best incremental project with title “Tracking Algorithm for Data Rate Optimization in Science Planetary Missions”.

leonardo.carrer (at) unitn.it    


Silvia Demetri received her "Laurea Specialistica" (M.Sc. degree) in Telecommunication Engineering (summa cum laude) from the University of Trento, Italy, in 2011. Between July 2012 and July 2013 she worked as research assistant at the Department of Information Engineering and Computer Science (DISI) of the University of Trento, where she is currently a Ph.D. candidate in Information and Communication Technologies (ICT). Her main research interests are in synergistically combining Remote Sensing and Wireless Sensor Networks technologies for the development of integrated and adaptive systems for environmental sensing and monitoring.

silvia.demetri (at) unitn.it    


  • PhD Students
Davide Pirrone received the M.Sc. cum laude in Electronic Engineering at the University of Rome "La Sapienza", Italy, on January 2012; he attended a postgraduate specialization course in "Advanced Communication and Navigation Satellite Systems" at University of Rome "Tor Vergata", Italy. He worked as Payload Engineer in Thales Alenia Space Italy (2012-2013) and as Software/Firmware Engineer in Blue Thread (2013-2014). He is a Ph.D. student in Information and Communication Technologies at the University of Trento. His research activity is related to remote sensing analysis for SAR data and biophysical parameters modelling.

pirrone (at) fbk.eu    


Aravind Harikumar Aravind Harikumar received his B.Tech. degree in Electronics and Communication engineering from University of Kerala, Kerala, India, in 2007. He received his first masters degree in Remote Sensing and Wireless Sensor Networks from Amrita University, Coimbatore, India, in 2009. He further received his second masters in Geoinformatics from ITC - Faculty of Geo-Information Science and Earth Observation, University of Twente, The Netherlands in 2014. He has professional experience with IBM India Pvt. Ltd, Bangalore, India (2011-2012) and also the National centre for Earth Science Studies (NCESS), Trivandrum, India (2014). He is currently a Ph.D. student in the Information and Communication Technologies at the department of Information Engineering and Computer Science at the University of Trento, Italy. His active research interests are machine learning, pattern recognition, remote Sensing image analysis and fuzzy classification of remote sensing imageries.

harikumar (at) fbk.eu    


Manuel Bertoluzza received the “Laurea” (B.Sc.) degree in Electronics and Telecommunication Engineering and the “Laurea Magistrale” (M.Sc.) degree in Telecommunication Engineering (summa cum laude) from the University of Trento, Italy, in 2012 and 2015, respectively. His research interests are related to multitemporal analysis of SAR images.

manuel.bertoluzza (at) unitn.it    


Daniele Marinelli received the “Laurea” (B.Sc.) degree in Electronics and Telecommunications Engineering and the “Laurea Magistrale” (M.Sc.) degree in Telecommunications Engineering (summa cum laude) from the University of Trento, Italy, in 2013 and 2015, respectively. He is recipient of the prize for the 2015 Best Italian master Thesis in the area of remote sensing awarded by the the Italy Chapter of the IEEE Geoscience and Remote Sensing Society. He got the Second Place in the Student Paper Competition at the 2018 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2018) hold in Valencia (Spain). In 2017 he was a visiting PhD student at the Integrated Remote Sensing Studio, University of British Columbia, Vancouver, Canada working on Change Detection in LiDAR data. Since 2017 he has been a teaching assistant at the Department of Information Engineering and Computer Science of the University of Trento. Currently he is a Ph.D. student in Information and Communication Technologies (ICT) at the University of Trento. His research interests are related to the multitemporal analysis of Hyperspectral and LiDAR data.

daniele.marinelli (at) unitn.it    


Mehdi Darvishi received the B.Sc. degree in telecommunication Engineering and M.Sc. degree in remote sensing. 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, Italy. His research interests include Remote Sensing applications, radar interferometry and landslide monitoring using SAR data.

mehdi.darvishi (at) unitn.it    


Christopher Gerekos received his Bachelor's and his Master's degree in Physics (with distinction) from the Université Libre de Bruxelles (Belgium) in 2013 and 2016, respectively. In 2015, he was with the Advanced Concepts Team of ESA, Noordwijk (The Netherlands), where he worked on relativistic positioning systems, a class of descriptions of global satellite navigation systems which rely purely on the general theory of relativity, with possible applications to ESA's Galileo system. He is currently a PhD researcher at RSLab, University of Trento (Italy), where he works on novel applications of scattering theory to radar systems, with a particular focus on radar echo simulation methods. He is also part of the team working on the RIME (Radar for Icy Moon Exploration) instrument of ESA's JUICE mission (Jupiter icy moons explorer).

christopher.gerekos (at) unitn.it    


Sanchari Thakur received her Bachelor of Engineering (B.E.) with honors in Civil Engineering from Birla Institute of Technology and Science, Pilani (India) in 2014 and Master of Technology (M.Tech) in Geoinformatics and Natural Resources Engineering from the Indian Institute of Technology Bombay in 2016. In 2015-16 she has carried out research at IIT Bombay on a project co-sponsored by the International Atomic Energy Agency (IAEA). As her Master’s thesis, she used thermal infrared and microwave polarimetric SAR data for identification and mapping of buried river channels (palaeochannels) in Western Australia and Namibia respectively. The project involved quantitative assessment of global uranium resources using spatial statistical approaches. Currently she is a PhD student at the Information and Communication Technology, University of Trento working on data analysis strategies for RIME (Radar for Icy Moon Exploration). Her research interests include optical, thermal and microwave remote sensing, hydrology and water resources, geological mapping and machine learning.

sanchari.thakur (at) unitn.it    


Akshara Preethy Byju received her B.Tech. degree in Computer Science and Engineering(CSE) from University of Kerala, Kerala, India, in 2013 and M.Sc. in Geo-informatics from ITC-Faculty of Geo-Information Science and Earth Observation, University of Twente, The Netherlands, in 2015. She worked as an Image Analyst at Urban Expansion Observatory –India, Mumbai for NYU Stern Urbanization Project (2015- 2016) and also as a GIS Consultant at Infrastructure Development Finance Company (IDFC), Mumbai (2015). She is currently a PhD student in the Information and Communication Technologies at University of Trento, Italy. Her research interests are advanced remote sensing, Image processing, machine learning and pattern recognition.

akshara.preethybyju (at) unitn.it    


Sudipan Saha received his B.Tech. degree in Electronics and Communication engineering from Institute of Engineering & Management, Kolkata, India in 2011 and M.Tech. degree in Electrical Engineering from Indian Institute of Technology Bombay, Mumbai, India in 2014. He worked as a programming analyst at Citibank India (July 2014-February 2015) and as computational nano mask technology engineer at Taiwan Semiconductor Manufacturing Company Limited, Taiwan (March 2015-August 2016). He is currently a Ph.D. student in Information and Communication Technologies at the University of Trento. His research interests are related to image processing, machine learning, pattern recognition

saha (at) fbk.eu    


Elena Donini received the “Laurea” (B.Sc.) degree in Electronics and Telecommunication Engineering and the “Laurea Magistrale” (M.Sc.) degree in Telecommunication Engineering (summa cum laude) from the University of Trento, Italy, in 2015 and 2017, respectively. She is currently pursuing the 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 the analysis of radar sounder data of the subsurface.

edonini (at) fbk.eu    


Stefano Paterna received the “Laurea” (B.Sc.) degree in Electronics and Telecommunication Engineering and the “Laurea Magistrale” (M.Sc.) degree in Telecommunication Engineering from the University of Trento, Italy, in 2015 and 2017, respectively. He is currently a Ph.D. student in Information and Communication Technologies (ICT) at the Remote Sensing Laboratory (RSLab) of the University of Trento, Italy. His research interests are related to the use of radar sounders for space exploration missions.

stefano.paterna (at) unitn.it    


Iwona Podsiadło received her Bachelor of Engineering (B.E.) in Computer Science, and Master’s degree in Computer Science with specialization in Software and Database in Geology from the University of Science and Technology(AGH) in Kraków, Poland. In 2015-2017 she joined European Space Agency where she was working on Sentinel-1 (S-1) external calibration using elevation antenna pattern (EAP) over the Amazon Rain Forest. In the second part of her program, she started to work on S-1 & Radarsat-2 intercomparison exercise. She is currently a Ph.D. student in the ICT International Doctoral School at the Remote Sensing Laboratory (RSLab) of the University of Trento, Italy. Her research interests are related to image processing and machine learning.

iwona.podsiadlo (at) unitn.it    


Lei Ding received the B.S.degree in Measurement and Control Engineering in 2013 and the M.S. degree in Photogrammetry and Remote Sensing in 2016, both from Zhengzhou Institute of Surveying and Mapping, China. He is currently pursuing the Ph.D. degree at RSLab in the Department of Information Engineering and Computer Science, University of Trento, Italy. His research interests are related to remote sensing image processing and machine learning.

lei.ding (at) unitn.it    


Elisa Sbalchiero received the “Laurea” (B.Sc.) degree in Electronics and Telecommunications Engineering and the “Laurea Magistrale” (M.Sc.) degree in Information and Communication Engineering (summa cum laude) from the University of Trento, Italy, in 2016 and 2018, respectively. She is currently a Ph.D. student in Information and Communication Technologies (ICT) at the Remote Sensing Laboratory (RSLab) of the University of Trento, Italy. Her research interests are related to radar sounders data simulation, in the context of space missions.

elisa.sbalchiero (at) unitn.it    


Luca Bergamasco 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 2016 and 2018, respectively. He is currently a Ph.D. student in the ICT International Doctoral School at the Remote Sensing Laboratory of the 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 remote sensing data through machine learning, pattern recognition and deep learning techniques.

lbergamasco (at) fbk.eu    


Parth Naik received his Bachelor's degree in Electronics and Communication Engineering from Gujarat Technological University, Ahmedabad, India in 2015. He is M.Tech (2018) graduate in Remote Sensing and Geographic Information System from Indian Institute of Remote Sensing, Dehradun, India which is a unit of Indian Space Research Organization (ISRO). He is currently pursuing his Ph.D in Information and Communication Technology at University of Trento, Italy. His research interests involve Machine Learning and Deep Learning applications in Remote Sensing, Satellite Image Analysis and Processing, LiDAR and Photogrammetry.

parth.naik (at) unitn.it    


Valentina Premier received the B.Sc. and M.Sc. degree in Environmental and Land Engineering from the University of Trento, Italy, in 2013 and 2016, respectively. After an internship at Deltares (Delft, The Netherlands) working on radar altimetry applied to oceanography, she started working at Eurac (Bolzano, Italy) within the H2020 PROSNOW project. She is currently a Ph.D. student in Information and Communication Technologies at the University of Trento. Her research interests are related to the exploitation of remote sensing data for snow parameters retrieval and monitoring.

Valentina.Premier (at) eurac.edu    


  • Technical Staff
Massimo Santoni received the B.S. degree in Electronics and Telecommunication engineering in 2012 and the M.S. degree in Telecommunication in 2014, both from the University of Trento, Italy. His research interests are related to the study of the snow parameters using long time series of optical and SAR data. He is part of the team of the university of Trento working on the design of the Radar for Icy Moon Exploration (RIME) instrument of the JUpiter Icy moons Explorer (JUICE) mission of European Space Agency. Currently he is also webmaster and system administrator of the RSLab's hardware.

massimo.santoni (at) unitn.it    


  • Visiting Scientists and Students
Ruoxi Song received the B.Sc. degree in Applied Mathematics and M.Sc. degree in Computer Science and Technology. She is currently pursuing the Ph.D. degree in Liaoning Normal University, China, and acting as a visiting Ph.D. student at the Remote Sensing Laboratory (RSLab) of the University of Trento, Italy. Her research interests are related to multitemporal analysis of Hyperspectral data.

ruoxi.song (at) studenti.unitn.it    


Wei Yao received his B.S.degree in Automation from Wuhan University in 2005, and the Ph.D. in Control Theory and Control Engineering from Dalian University of Technology in 2011. He is currently a visiting post-doctoral fellow at RSLab in the Department of Information Engineering and Computer Science, University of Trento, Italy. His research interests are related to remote sensing image classification, neural networks and machine learning.

wyao (at) mail.scuec.edu.cn    


Sanid Chirakkal received the M.Sc. degree in Physics from University of Calicut, India, in 2009, with specialization in QFT. He received the Ph. D. degree (Physical Sciences) from Indian Institute of Space Science and Technology (IIST), India, in 2014. He joined Indian Space Research Organisation (ISRO), Ahmedabad, as a scientist in the Microwave Techniques Development Division in 2015. He is currently a visiting post doctoral fellow at RSLab in the Department of Information Engineering and Computer Science, University of Trento, Italy. His major research interests are Non-linear dynamics, Condensed matter physics, SAR Polarimetry (PolSAR), InSAR and PolInSAR.

chirakkalsanid (at) gmail.com