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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 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    


  • Research Fellows
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, IEEE Transactions on Geoscience and Remote Sensing, 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    


Leonardo Carrer received the M.Sc. (Hons.) degree in electrical engineering from the Delft University of Technology, Delft, The Netherlands, in 2012, and the Ph.D. degree in Communication and Information Technology from the University of Trento, Italy, in 2018. He is Assistant Professor (RTD-A) at the University of Trento. His research interests include radar sounders system engineering, performance models, and advanced signal processing. In 2017, he was a visiting researcher at Stanford University, California, United States working on passive radio sounding of icy moons using non-white jovian noise. He is a member of the 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. He publishes on peer-reviewed journals both in the Remote Sensing and Planetary and Space Research communities. In 2016, he was the recipient of the best student paper award of the SPIE Remote Sensing conference with a work on bio-inspired radar sounding. In 2018, he has been the recipient of the IEEE-GRS29-CNI Best PhD Thesis Award 2018 for the best three PhD thesis in the area of Geoscience and Remote Sensing (GRS).

leonardo.carrer (at) unitn.it    


Sanchari Thakur received her B.E. in Civil Engineering from Birla Institute of Technology and Science, Pilani (India) in 2014, M.Tech. in Geoinformatics and Natural Resources Engineering from IIT Bombay, Mumbai (India) in 2016, and PhD in Information and Communication Technology from Università degli Studi di Trento in 2020. As part of her Master thesis she worked on a project co-sponsored by the International Atomic Energy Agency (IAEA) to study spatial statistical properties of global uranium deposits and contributed two chapters to the Quantitative and Spatial Evaluations of Undiscovered Uranium Resources (IAEA-TECDOC-1861). Her PhD thesis, titled ‘Advanced methods for simulation and performance analysis of planetary radar sounder data’, was carried out at the Remote Sensing Laboratory, University of Trento, Trento, Italy and was focused on developing and applying radar sounder simulators for the Radar for Icy Moon Exploration onboard ESA’s JUICE mission, and future terrestrial radar sounder missions. Her research interests include radar sounders, performance simulation, geological interpretation and analysis of multispectral and radar remote sensing data for geological applications.

sanchari.thakur (at) unitn.it    


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    


Marko Barjaktarovic received his B.S, M.S. and Ph.D. degrees from School of Electrical Engineering, University of Belgrade in 2002, 2007 and 2012, respectively, where he is an associate professor. In the field of electrical engineering he has published 1 book and 36 scientific publications. His teaching and researching areas include sensors technology for measuring non-electrical quantities, real-time image processing especially for machine vision systems, medical image processing, neural networks for MRI image classification, physics, medical informatics. He has participated in several national and one Horizon 2020 cascading project, and has cooperated with the industry in designing machine vision systems automotive, food, cardboard, packaging and brewery. His research also included developing procedures for: diagnosis degree of damage in the Hand-arm vibration disease; fusion visible image and scintigram for precise topographic localization of tumor; low-cost PIV (particle imaging velocimetry) experimental setup. Currently, he is an MSCA fellow in RSLab with research in the acquisition and analysis of multispectral images.

marko.barjaktarovic (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 won GRS29-CNI 2019 prize for the three best Italian Master Degree thesis in Geoscience and Remote Sensing. 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    


  • PhD Students
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    


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    


Abhishek Singh received Bachelor of Technology (B.Tech) degree in Electronics Engineering from University of Delhi, India and received Master of Technology (M.Tech) degree in Remote Sensing & GIS with specialisation in Satellite Image Analysis and Photogrammetry from Indian Institute of Remote Sensing, Indian Space Research Organisation, India. He is currently a PhD 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 Digital Image Processing, Machine Learning, Pattern Recognition, Remote Sensing Image Analysis and Fuzzy Logic.

abhishek.singh (at) unitn.it    


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    


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    


Yuxing Chen received his Bachelor's and Master's degree in Geodesy and Survey Engineering from the University of Chinese Academy of Sciences, P.R. China. He is currently a Ph.D. student in the Department of Information Engineering and Computer Science, University of Trento, Italy. His research interests are related to the application of machine/deep learning to optical and SAR satellite image analysis.

yuxing.chen (at) unitn.it    


Daniel Carcereri received the "Laurea" (B.Sc.) degree in Electronics and Telecommunication Engineering and the "Laurea Magistrale" (M.Sc.) degree in Information and Communication Engineering (summa cum laude) from the University of Trento, Italy, in 2018 and 2020, respectively. He is currently pursuing a Ph.D. degree as a member of the Remote Sensing Laboratory at the Department of Information and Communication Technology (ICT), University of Trento, Italy, and the Microwaves and Radar Institute (HR), German Aerospace Center (DLR), Oberpfaffenhofen, Germany. His research interests involve sensor fusion and deep learning algorithms applied to biomass estimation and analysis.

daniel.carcereri (at) unitn.it    


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    


Giulio Weikmann received the "Laurea" (B.Sc.) degree in Information and Communication Engineering and the "Laurea Magistrale" (M.Sc.) degree in Information and Communication Engineering (summa cum laude) from the University of Trento, Italy, in 2018 and 2020, respectively. He is currently a Ph.D. student in Information and Communication Technology (ICT) at the Remote Sensing Laboratory (RSLab) of the University of Trento, Italy. His research involve Deep Learning applications to optical remote sensing data.

giulio.weikmann (at) unitn.it    


Gianmarco Perantoni received the "Laurea" (B.Sc.) degree in Information and Communication Engineering and the "Laurea Magistrale" (M.Sc.) degree in Information and Communication Engineering (summa cum laude) from the University of Trento, Italy, in 2018 and 2020, respectively. He is currently a research fellow at RSLab in the Department of Information Engineering and Computer Science, University of Trento, Italy. His research interests concern the development of machine and deep learning techniques tailored to the analysis and processing of remotely sensed optical data.

gianmarco.perantoni (at) gmail.com    


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    


  • Technical Staff
Massimo Santoni received the B.S. degree in electronics and telecommunication engineering and the M.S. degree in telecommunication from the University of Trento, Trento, Italy, in 2012 and 2014, respectively. 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 the European Space Agency. His research interests are related to the performance evaluation and design of radar sounder instruments and to the study of the snow parameters using long time series of optical and synthetic aperture radar (SAR) data. Currently he is also webmaster and system administrator of the RSLab's hardware.

massimo.santoni (at) unitn.it    


  • Visiting Scientists and Students
Lifeng Wang received the B.S. and M.S. degree from the Northeast Agricultural University, Harbin, China, in 2014 and 2017, respectively. She is currently pursuing the Ph.D. degree in the College of Information and Communication Engineering Harbin Engineering University, Harbin, China. Her research interests include hyperspectral image change detection and deep learning.

wanglifeng1022 (at) hrbeu.edu.cn    


Shijie Ren received his Bachelor of Engineering (B.E.) in optoelectronic information science and engineering from Xidian University, Xi'an, China, in 2017. He is currently pursuing a Ph.D. degree in signal and information processing at the same university. His research topic is PolSAR image classification based on Bayesian learning and deep learning. His research interests include non-parametric Bayesian networks, Bayesian deep learning, geometric deep learning and remote sensing image interpretation.

shijie.ren (at) studenti.unitn.it    


Kai Zhang received the B.S. degree in electrical engineering and automation from North University of China, Taiyuan, in 2013 and the Ph.D. degree in circuit and system from Xidian University, Xi’an, China, in 2018. He is a lecturer with the School of Information Science and Engineering, Shandong Normal University, China. His research topic is multisource remote sensing image fusion and interpretation. His research interests include compressed sensing, matrix factorization, convolution sparse coding, and deep learning.

zhangkainuc (at) 163.com    


Maofan Zhao received the B.S. degree in surveying and mapping from Southwest Petroleum University, Chengdu, China, in 2019. He is currently pursuing the Ph.D. degree in the Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China. His research topic is high resolution remote sensing image classification and change detection. His research interests include remote sensing image processing, deep learning and urban remote sensing.

mfzhao1998 (at) 163.com