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  • Permanent Staff
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 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. He is the author (or coauthor) of 208 scientific publications in referred international journals (151 in IEEE journals), more than 260 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 21000) and the value of the h-index (70) (source: Google Scholar). He was invited as keynote speaker in many international conferences and workshops. 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 time he was recipient of many international and national honors and awards, including the recent IEEE Geoscience and Remote Sensing Society 2015 Outstanding Service Award and the 2017 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    


  • Post-Docs
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 a postdoctoral researcher at the Remote Sensing Laboratory of the 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 received the M.S. degree in Mathematics (summa cum laude) from the University of Ferrara, Dept. of Mathematics and Computer Science (Ferrara, Italy), 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). His research interests include multispectral images analysis, change detection, variational methods for segmentation, and numerical optimization. He studies change detection both on medium resolution multispectral images (e.g. Landsat, Sentinel-2) and Very High Resolution (VHR) images. He works, and has worked, within the context of several projects at both italian and european level with focus on developing advanced change detection techniques for optical satellite-borne data. Among them: (1) SEOM – Scientific Exploitation of Operational Missions – S2-4Sci Land and Water – Multi-temporal Analaysis. Founded by European Space Agency (ESA); and, (2) Very high spatial and spectral resolution remote sensing: a novel integrated data analysis system. Programs of scientific research of relevant national interest, PRIN 2012. Founded by Italian Ministero dell’Istruzione, dell’Università e della Ricerca. He published on high-rated peer-reviewed journals both in the Image Processing the Remote Sensing communities and applied Mathematics and Computation. He is a reviewer for international journals, among them IEEE Transactions on Image Processing, IEEE Transactions on Geoscience and Remote Sensing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing and Communications in Nonlinear Science and Numerical Simulation. He has participated at several international conferences. He is the winner of the GTTI PhD Award 2017 for the Best PhD thesis presented between May 2016 and April 2017 in the area of Telecommunications and Information Technologies, in Italy.

massimo.zanetti (at) unitn.it    


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, 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    


Alessandra Cofano is currently a postdoctoral researcher in the Department of Information Engineering and Computer Science, University of Trento, Italy. She received the Ph.D. plus the European Ph.D. in Planetary Sciences in the 2017 at University D'Annunzio and International Research School of Planetary Sciences (IRSPS), Pescara, Italy. She has a master's degree in Cosmology and Astrophysics and a bachelor's degree in Astronomy at University of Bologna. In 2016 she was a visiting PhD student at Institut de Planétologie et d'Astrophysique de Grenoble (IPAG), Université Grenoble Alpes, Grenoble, France and from the 2010 to 2013 she did an internship at Istituto di Astrofisica e Planetologia Spaziali (IAPS), National Institute of Astrophisics, Rome, Italy. She is now part of the RIME (Radar for Icy Moon Exploration) scientific team, instrument which will be on-board the upcoming ESA mission JUICE (JUpiter ICy moons Explorer) to the Jupiter system. She works on the simulations and the interpretation of the surface and the subsurface, in particular on the icy satellites of Jupiter. Analysis of IR imagery, radiative transfer modeling and atmosphere simulations (in particular on Titan, Saturn's satellite) have been key elements of her research at IAPS. She also studied Mars terrain and load bearing capacity and also seismic noise propagation in Mars and Earth subsurface during her postdoc and Ph.D. period at IRSPS.

alessandra.cofano (at) unitn.it    


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). 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    


  • PhD Students
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    


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. 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 is 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 carried out an internship at the Advanced Concepts Team of the European Space Agency (ESA), where he worked on Relativistic Positioning Systems (RPS), a class of descriptions of global satellite navigation systems (GNSS) which rely purely on the general theory of relativity. In particular, he researched how the time transfer function, an object in general relativity, could be used to solve analytically some relevant problems appearing in RPS. He is now a PhD researcher at RSLab, University of Trento, where he works on novel applications of diffraction theory to radar systems. Among other activities, he designed an efficient simulator for data acquired by radar sounders. He is also part of the team working on the Radar for Icy Moon Exploration (RIME) instrument of the JUpiter Icy moons Explorer (JUICE) mission of ESA.

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    


Qin Yao received the B.S degree in Information Engineering from Shanghai Jiaotong University, Shanghai, China, in 2013 and the M. S. degree from School of Electronic and Engineering, National University of Defence Technology, Changsha, China, in 2015. Currently, he is pursuing the Ph. D. degree and acts as a visiting Ph. D. at RSLab in the Department of Information Engineering and Computer Science, University of Trento, Italy. His major research interests are remote sensing image classification, domain adaptation and transfer learning.

yao.qin (at) unitn.it    


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 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.

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    


  • 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