Armando Marino (Member, IEEE) received the M.Sc. degree in telecommunication engineering from the Universita’ di Napoli “Federico II,” Naples, Italy, in 2006, and the Ph.D. degree in polarimetric SAR interferometry from the School of Geosciences, University of Edinburgh, Edinburgh, U.K., in 2011. In 2006, he joined High Frequency and Radar Systems Department, German Aerospace Centre, Oberpfaffenhofen, Germany, where he developed the M.Sc. thesis. From March 2011 to October 2011, he was with the University of Alicante, Institute of Computing Research, Spain. From 2011 to 2015, he was a Postdoctoral Researcher and a Lecturer with ETH Zurich, Institute of Environmental Engineering, Switzerland. Since 2015, he has been a Lecturer with the School of Engineering and Innovation, Open University, Milton Keynes, U.K. Since 2018, he has been an Associate Professor with the Faculty of Natural Sciences, University of Stirling, Stirling, U.K.
Avik Bhattacharya (Senior Member, IEEE) received the integrated M.Sc. degree in mathematics from the Indian Institute of Technology, Kharagpur, India, in 2000, and Ph.D. in remote sensing image processing and analysis from Télécom ParisTech, Paris, France, and the Ariana Research Group, Institut National de Recherche en Informatique et en Automatique (INRIA), Sophia Antipolis, Nice, France, in 2007. He is a Professor at the Centre of Studies in Resources Engineering, Indian Institute of Technology (IIT) Bombay, Mumbai, India where he leads the Microwave Remote Sensing Laboratory (MRS Lab). He was the Associate Editor and Editor-in-Chief of IEEE Geoscience and Remote Sensing Letters (GRSL) from 2019 to 2023. He has been the Guest Editor of the special issue on Applied Earth Observations and Remote Sensing, India, in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing since 2017. He is the Founding Chairperson of the IEEE-GRSS Chapter of the Bombay Section.
Carlos Lopez-Martinez (Senior Member, IEEE) received an M.Sc. degree in electrical engineering and a Ph.D. from Universitat Politécnica de Catalunya (UPC), Barcelona, Spain, in 1999 and 2003, respectively. He is currently an Associate Professor in the area of remote sensing and microwave technology with the UPC. From October 2000 to March 2002, he was with the High Frequency and Radar Systems Department, HR, German Aerospace Center, DLR, Oberpfaffenhofen, Germany. From June 2003 to December 2005, he was with the Image and Remote Sensing Group SAPHIR Team, Institute of Electronics and Telecommunications of Rennes, Rennes, France and from May 2017 until September 2019, he was responsible for the Remote Sensing and Natural Resources Modelling Group, Luxembourg Institute of Science and Technology, Esch-sur-Alzette, Luxembourg. His research interests include SAR, radar polarimetry, physical parameter inversion, digital signal processing, estimation theory, and harmonic analysis.
Masoud Mahdianpari (Senior Member, IEEE) holds degrees in geomatics and remote sensing from the University of Tehran and a Ph.D. in electrical engineering from Memorial University, Canada. He is Remote Sensing Technical Lead at C-CORE and a Cross Appointed Professor at Memorial. With over 150 publications, his research spans PolSAR processing, multimodal data analytics, machine learning, and geo big data. He serves on editorial boards of Remote Sensing, IEEE GRSS, Frontiers in Environmental Science, and the Canadian Journal of Remote Sensing. Dr. Mahdianpari has received multiple honors, including awards from IEEE, Microsoft, and Memorial University. In 2023, he was ranked in the top 1% of scientists globally by Stanford and Elsevier.
Dr. Dabboor earned his B.Sc. and M.Sc. degrees in geomatics engineering from the National Technical University of Athens, Greece, in 2003 and 2005, and his Ph.D. in spaceborne SAR remote sensing from the University of Calgary, Canada, in 2010. He was an NSERC postdoctoral fellow at Environment and Climate Change Canada (ECCC) until 2015, then a term research scientist at NASA Marshall Space Flight Center until August 2015. Since September 2015, he has been a research scientist at ECCC, focusing on advanced SAR image analysis and mission design. Dr. Dabboor served as a mission advisor for ESA’s SEASTAR EE11 candidate mission and is a member of science teams and working groups, including the CSA RADARSAT Constellation Mission, SWOT mission, and CSA’s Earth System Science Advisory Committee. His awards include the Queen Elizabeth II Graduate Award, Helmut Moritz Graduate Award, and the Canadian Geophysical Union Geodesy Section Best Student Paper Award.
Gabriela Siles is a professor at the Department of Geomatics of the Université Laval since 2023. She is a geodesist with expertise in radar and optical remote sensing including altimetry for freshwater environments. She has been involved in the SWOT project since 2018 and she is part of the international and the Canadian SWOT scientific team. She closely works with the SWOT algorithm development team from the CNES and with LEGOS (France). Her activities in relation to this mission includes field work in different water bodies of Canada. She also collaborates among others, with the Canadian Space Agency and Environment and Climate Change Canada in the framework of the SWOT mission.
Ash Richardson, whose interests include Polarimetric SAR and other RS technology, graduated from the M.Sc program in Applied Mathematics at U. Victoria and worked as a trainee scientist in remote sensing with the Canadian Forest Service, before eventually joining the Province of BC organization as Senior Data Scientist, gravitating towards BC Wildfire Service where he currently resides as a member of the Predictive Services Unit.
Joost van der Sanden is a senior research scientist at the Canada Centre for Mapping and Earth Observation (CCMEO) of Natural Resources Canada (NRCan) in Ottawa, Ontario, Canada. He joined the organization in 1998 following the completion of undergraduate and postgraduate studies at the Wageningen University in The Netherlands and the University of Aberdeen in Scotland. His research concentrates on the development of automated methods for the extraction of information from radar remote sensing images. The information needs of Canadians with an interest in freshwater ice properties and processes guide his current work. Dr. van der Sanden has been the principal investigator on a range of projects relating to satellite missions such as Envisat ASAR, RADARSAT-1/2, RADARSAT Constellation Mission, TerraSAR-X, TanDEM-X, and ALOS PALSAR. He has served as a chairperson for the Government of Canada SAR Applications Working Group since 2005.
Heather McNairn is a leading Canadian research scientist specializing in remote sensing for agriculture, based at the Ottawa Research and Development Centre, part of Agriculture and Agri-Food Canada. With over 25 years of experience, she has pioneered the use of Synthetic Aperture Radar (SAR) and other satellite technologies to monitor soil and crop conditions across Canada and beyond.
Dr. McNairn has led numerous national and international research initiatives, authored over 60 peer-reviewed publications, and developed operational methods for crop classification and soil moisture mapping. Her work directly supports applications in flood and drought forecasting, precision agriculture, and climate resilience.
She also collaborates with organizations like NASA and the Canadian Space Agency, and serves as an adjunct professor at Carleton University and the University of Manitoba.
Organizing Committee
Dr Saeid Homayouni
Full Professor
Institut National de la Recherche Scientifique, Canada
Saeid Homayouni (Senior Member, IEEE) is a full professor of environmental remote sensing and geomatics at the Centre for Water, Land, and Environment of the Institut National de la Recherche Scientifique (INRS) de Quebec. He holds a B.S. in Surveying and Geomatics Engineering, an M.Sc. in Remote Sensing and GIS, and a Ph.D. in Signal and Image Processing (Hyperspectral Remote Sensing) from Télécom Paris, France. He is leading the Group on Earth Observation Analytics by Artificial Intelligence (GEO-AI) at the INRS. His research mainly focuses on analyzing Big Earth observations using advanced machine learning and artificial intelligence techniques for urban and agro-environmental applications. He is also serving the IEEE GRSS Quebec's chapter as the chair and is an AE of the IEEE GRSL.
Dr Chayma Chaabani
Post Doctoral Researcher
Institut National de la Recherche Scientifique, Canada
Chayma Chaabani (Member, IEEE) received her engineering degree in computer science in 2013 from the National School of Computer Science (ENSI) and earned a Ph.D. in Information and Communication Technologies in 2020 from the Higher School of Communications of Tunis (SUPCOM). Since 2022, she has been a postdoctoral researcher at the Institut National de la Recherche Scientifique (INRS) in Quebec. Her research interests include synthetic aperture radar (SAR), interferometric SAR (InSAR), and advanced DInSAR techniques. Her current work focuses on addressing ice monitoring challenges through the development and adaptation of artificial intelligence algorithms for processing SAR-based data, with applications in environmental monitoring.
Ramin Farhadiani
Doctoral Student
Institut National de la Recherche Scientifique, Canada
Ramin Farhadiani received the B.S. degree in surveying and geomatics engineering from the University of Tabriz, East Azarbaijan, Iran, and the M.Sc. degree in remote sensing from the University of Tehran, Tehran, Iran, in 2014 and 2017, respectively. Since 2023, he has been pursuing a Ph.D. at the Institut National de la Recherche Scientifique (INRS), Québec, Canada. His research interests include remote sensing, synthetic aperture radar (SAR) image processing, and despeckling methods.