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Biography

Dora B. Heras is a full professor in the Department of Electronics and Computer Engineering at the University of Santiago de Compostela (Spain). She received a MS in Physics in 1993 and was awarded a PhD cum laude from this university. In the period from 2005 to 2010 she was appointed as the head of the Sustainable Development Office at this university. Since 2008 she is also with the research centre CiTIUS (Centro de Investigación en Tecnoloxías Intelixentes) where she leads the hyperspectral remote sensing computing line and has received the accreditation as full professor in 2020. He is also co-chair of the High-Performance and Disruptive Computing in Remote Sensing (HDCRS) Working Group of the IEEE GRSS ESI Technical Committee.

Her research contributions cover a range of topics in the combined fields of image processing, remote sensing, machine learning and high performance computing. In particular, in the last ten years her research has been framed in the line of high performance computing and its application to remote sensing. She has participated in research projects funded by Spanish and European institutions, and R&D agreements.  She has served as program committee, guest editor and reviewer in several conferences, in particular, the Euromicro 2021 Parallel and Distributed Conference, and serves as reviewer for different top-ranked journals. She is also a member of the Euro-Par conference Steering Committee since 2018 and has acted as co-chair of the co-located workshops for all the editions since 2017.

Biography

Gabriele Cavallaro (Senior Member, IEEE) received his B.Sc. and M.Sc. degrees in Telecommunications Engineering from the University of Trento, Italy, in 2011 and 2013, respectively, and a Ph.D. degree in Electrical and Computer Engineering from the University of Iceland, Iceland, in 2016. From 2016 to 2021, he served as the deputy head of the "High Productivity Data Processing" (HPDP) research group at the Jülich Supercomputing Centre (JSC), Forschungszentrum Jülich, Germany. Since 2022, he has been the Head of the "AI and ML for Remote Sensing" Simulation and Data Lab at JSC and an Adjunct Associate Professor at the School of Natural Sciences and Engineering, University of Iceland, Iceland. From 2020 to 2023, he held the position of Chair for the High-Performance and Disruptive Computing in Remote Sensing (HDCRS) Working Group under the IEEE GRSS Earth Science Informatics Technical Committee (ESI TC). In 2023, he took on the role of Co-chair for the ESI TC. Concurrently, he serves as Visiting Professor at the Φ-Lab within the European Space Agency (ESA), where he contributes to the Quantum Computing for Earth Observation (QC4EO) initiative. Additionally, he has been serving as an Associate Editor for the IEEE Transactions on Image Processing (TIP) since October 2022.

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Biography

Lois Orosa defended his PhD. in the University of Santiago de Compostela in 2013. He received the distinction of “Cum Laude” for the quality of his PhD thesis, and he has been doing research on Computer Architecture since then.

Lois Orosa is currently the Director of the Galicia Supercomputing Center (CESGA) since March 2022, which currently has 51 people. As part of the responsibilities assumed at CESGA, Lois Orosa is leading the Galicia Quantum Technology Hub (or “ Polo de Tecnoloxías Cuánticas de Galicia ”). The Hub strategy plan foresees an investment of 154M euros until 2030, from which around 30M were already executed.

Before joining CESGA, he was doing research at ETH Zürich for 4 years in the SAFARI Research group, lead by Onur Mutlu. Before that, he received a research grant to work on Computer Architecture for 3 years in the University of Campinas, where he co-advise a PhD student. He also has been doing other research stays on top International Institutions, both in Industry, in the companies IBM R&D (Haifa, Israel), Xilinx (Dublin, Ireland), Recore Systems (Enschede, Netherlands), and Academia, in Universidade de Illinois en Urbana-Champaign (USA), Universidade Nova de Lisboa (Portugal).

He has contributed very significantly to the field of Computer Architecture in the last few years, making very relevant contributions especially in reliability and security of computer systems. He published in the 4 top venues in this area in the last few years: 4 papers in ISCA, 5 papers in HPCA, 7 papers in MICRO, and 3 papers in ASPLOS, from which he received 19 HiPEAC awards , given to European researchers that publish in strong venues .

He also published 7 additional papers on top venues and journals (Q1 equivalent). The impact of these publications is significant in recent years (470 citations in the year 2023, 1512 citations in total). He also has presented several posters and short papers, and has given multiple talks about his research. He serviced the community by being a reviewer and a program committee member of many conferences, journals and workshops.

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Biography

Gabriele Meoni received his MsC degree in Electronic Engineering and his PhD degree in Information Engineering from the University of Pisa respectively in 2016 and in 2020. After completing his doctoral studies, from September 2020 to April 2023 he held the position of Internal Research Fellow at the European Space Agency (ESA) (Advanced Concepts Team (ACT) September 2020 - August 2021, Φ-lab September 2021 - April 2023), where he conducted research on Artificial Intelligence (AI) and neuromorphic computing for onboard spacecraft applications. During 2022-2023, he was a visiting researcher at AI Sweden, focusing on distributed edge learning for satellite constellations. From May 2023 to April 2024, he served as an Assistant Professor in the Faculty of Aerospace Engineering at Delft University of Technology. Currently, Meoni is an Innovation Officer at ESA, with research interests spanning satellite onboard processing, AI for Earth Observation, and neuromorphic computing. Meoni coauthored more than 40 scientific publications.

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Biography

Emma Izquierdo-Verdiguier (Ph.D., 2014, University of Valencia) is an Senior Scientist in the Institute of Geomatics at the University of Natural Resources and Life Sciences (BOKU, Vienna). Her research interests are focused on the use of Earth Observation data and cloud computing environment for land surface phenology. Her previous research focused on machine learning applied to remote sensing data. In particular, nonlinear feature extraction based on kernel methods, and on automatic object identification and classification using multispectral images. She is also an external professor of the Master of Remote Sensing at the University of Valencia. In 2012, her paper was ranked second in the student’s competition of the IEEE Geoscience and Remote Sensing Symposium (IGARSS). Dr. Izquierdo-Verdiguier is a Google Developer Expert from 2022 and a member of the ELLIS AI excellence network from 2024.

Biography

Eric Smit is a doctoral candidate at BOKU University, Vienna, working in the BodenPioniere 2050 project group. He completed his BSc and MSc in Civil Engineering and Water Management at the same university, focussing on geomatics and remote sensing. The goal of his current research is the evaluation of sustainable agricultural management practices in Austria, from an Earth Observation perspective. This effort includes soil samples as ground truth data, remote sensing data over multiple spatial, temporal and spectral scales, and interpretable machine learning algorithms.