EURASIP BoD elections 2023
EURASIP is managed by a Board of Directors that is elected by the members. The EURASIP General Assembly confirms the election results and appointments. All elected Board members serve a three-year term, renewable once.
On December 31st, 2023, three current Board members will end their term: Maria Sabrina Greco (1st term), Kostas Berberidis (2nd term) and Toon van Waterschoot (2nd term). As a consequence three seats become vacant on 1st of January 2024.
Below you can find the biographies of the candidates (in alphabetical order).
The voting tool is available on the EURASIP membership portal after logging in (in the elections tab). The voter is invited to rank the candidates in the order of preference.
The candidate ranked as first will receive 5 points, the candidate ranked as second will receive 4 points, and so on.
The voter can return to the voting tool to change their vote before the deadline.
Only the last vote submitted before the deadline will be counted.
The voting closes on September 22, 2023.
The three candidates with the highest number of points will be nominated for being appointed to the Board of Directors by the EURASIP General Assembly.
The results of the election will be communicated to the EURASIP community by newsletter and on this page.
Maria Sabrina Greco
Maria Sabrina Greco is full professor with Dept. of Information Engineering of the University of Pisa. She’s IEEE fellow since Jan. 2011. She was co-recipient of the 2001 and 2012 IEEE Aerospace and Electronic Systems Society’s Barry Carlton Awards for Best Paper, co-recipient of 2019 EURASIP JASP Best Paper Award, and recipient of the 2008 Fred Nathanson Young Engineer of the Year award for contributions to signal processing, estimation, and detection theory and of IEEE AESS Board of Governors Exceptional Service Award for “Exemplary Service and Dedication and Professionalism, as EiC of the IEEE AES Magazine”. In May-June 2015 and in January-February 2018 she visited as invited Professor the Université Paris-Sud, CentraleSupélec, Paris, France.
She has been general-chair, technical program chair and organizing committee member of many international conferences over the last 15 years. Currently she’s General co-Chair of EUSIPCO 2024 (Lyon). She has been also lead-guest editor of many special issues on Radar Signal Processing. She’s Editor in Chief of the EURASIP Journal of Advances in Signal Processing. She has been member of the IEEE SPS BoG (2015-17), Chair of the IEEE AESS Radar Panel (2015-16), SPS Distinguished Lecturer for the years 2014-2015, AESS Distinguished Lecturer, AESS VP Publications (2018-2020), EiC of the IEEE Aerospace and Electronic Systems Magazine and IEEE SPS Director-at-Large for Region 8 (2021-22). She’s now President-Elect of AESS (2022-23) and Member of EURASIP Board of Directors (Director of Awards, 2021-23)
Her general interests are in the areas of statistical signal processing, estimation and detection theory. In particular, her research interests include clutter models, coherent and incoherent detection in non-Gaussian clutter, CFAR techniques, radar waveform diversity and bistatic/mustistatic active and passive radars, cognitive radars, integrated sensing and communications. She co-authored many book chapters and more than 240 journal and conference papers.
Xavier Mestre
Xavier Mestre received the Master and PhD in Electrical Engineering from the Technical University of Catalonia (UPC) in 1997 and 2002 respectively and the licenciate (5 year) degree in Mathematics in 2011. During the pursuit of his PhD, he was recipient of a 1998-2001 PhD scholarship (granted by the Catalan Government) and was awarded the 2002 Rosina Ribalta second prize for the best doctoral thesis project within areas of Information Technologies and Communications by the Epson Iberica foundation.
From January 1998 to December 2002, he was with UPC’s Communications Signal Processing Group, where he worked as a Research Assistant (1998-2000) and Research Associate (2001-2002). In January 2003 he joined the Telecommunications Technological Center of Catalonia (CTTC), where he currently holds a position as a Senior Research Associate. He has actively participated in 12 European projects, 5 industrial contracts, two ESA contracts and 7 projects funded by the Spanish Government. He is author of three granted patents owned by CTTC and one patent owned by Huawei Technologies. He is co-author of the 2020 EURASIP Journal on Wireless Communications and Networking Best Paper Award and the 2021 IEEE Workshop on Statistical Signal Processing Best Paper Award. Since 2017 he has been adjunct lecturer at the Engineering Department of the Universitat Autònoma de Barcelona.
He has been Associate Editor of the IEEE Transactions on Signal Processing for two terms (2008-11, 2015-2019), Senior Area Editor of the same journal (2019-present) and associate co-editor of the special issue on at the EURASIP Journal on Wireless Communications and Networking. He is IEEE Senior member and has been elected member of the IEEE Sensor Array and Multi-channel Signal Processing Technical Committee (2013-2018), the IEEE Signal Processing Theory and Methods Technical Committee (2019-present), the EURASIP Technical Area Committee (TAC) on Signal Processing in Communications (2018-present) and the EURASIP TAC on Theoretical and Methodological Trends in Signal Processing (TMTSP, 2015-2021). He was vice-chair of the TMTSP Technical Area Committee (2019-21) and is current vice-chair of the SPTM (2023-present).
He has participated in the organization of multiple conferences and scientific events, such as the IEEE Wireless Communications and Networking Conference 2018 (general vice-chair), the IEEE International Symposium on Power Line Communications (technical chair), the European Wireless 2014 (general co-chair), the European Signal Processing Conference 2011 (technical chair), the IEEE Winter School on Information Theory 2011 (general co-chair). He was general chair of the IEEE International Conference on Acoustics, Speech and Signal Processing 2020 and will also be general chair of the 2026 edition of this conference.
Esa Ollila
Esa Ollila is an Associate Professor of Signal Processing at the Department of Information and Communications Engineering at Aalto University, Finland, where he leads the statistical machine learning research group. He received an M.Sc. degree in mathematics from University of Oulu, Finland, and a Ph.D. degree in statistics (with honors) from University of Jyväskylä, Finland, in 1998 and 2002, respectively. In 2010 he received a D.Sc. (Tech) degree (with honors) from Aalto University, Finland. Prior to his professorship appointment at Aalto University in 2015, he has held various research and teaching positions. From 2004 to 2007 he was a post-doctoral fellow of Academy of Finland while 2010-2015 he held the Academy Research Fellowship at Aalto University, Finland. He has also held acting university lecturer position at University of Oulu, Finland, where he also holds a title of Docent (Adjunct Professor) of Statistics. He has also had several long-term research visits abroad. Fall-term 2001 he was a Visiting Researcher with the Department of Statistics, Pennsylvania State University, while the academic year 2010-2011 he spent as a Visiting Post-doctoral Research Associate with the Department of Electrical Engineering, Princeton University, USA.
He is an elected member (term 2022-2024) of IEEE SPS Signal Processing Theory and Methods (SPTM) Technical Committee and an associate editor of Scandinavian Journal of Statistics (2021-present). Previously, he also served as a member of the EURASIP SAT in Theoretical and Methodological Trends in Signal Processing (TMTSP). He is also the general co-chair of EUSIPCO-2023 held in Helsinki, Finland. He has co-authored a book, Robust Statistics for Signal Processing, published in 2018 by Cambridge University Press. At Aalto University, he serves as director of BSc major in Information Technology since 2016 and MSc major in Signal Processing and Data Science (SPDS) since 2021. His research interests lie in the intersection of the fields of signal processing, machine learning and statistics.
Nelly Pustelnik
Nelly Pustelnik completed her Ph.D. at Université Paris-Est in France in 2010. Afterward, she held a post-doctoral position in collaboration with Bordeaux University and TOTALEnergies SA. In 2011, she became a permanent CNRS researcher at the Physics Lab in Ecole Normale Superieur de Lyon, France. From 2019 to 2022, Prof. Pustelnik joined the Applied Mathematics department (INMA) at UCLouvain to further develop her expertise and foster European collaboration in inverse problems and optimization.
Prof. Pustelnik delved into the theoretical and practical aspects of inverse problems solving for signal and image processing, investigating advanced multiresolution techniques and algorithms. Her current research activity focuses on inverse problem solving and physics informed neural networks for observational sciences (astronomy, oceanography, rivers dynamics at the global scale). Her goal is to develop architectures that leverage both domain-specific knowledge and advanced computational techniques to propose stable and energy-efficient methods for solving inverse problems.
In addition to her academic positions, Prof. Pustelnik has actively contributed to the scientific community through various roles in scientific management. She has been recognized for her expertise and contributions by the EURASIP Signal and Data Analytics for Machine Learning SAT and the IEEE MLSP TC, where she actively contributed to the development and dissemination of knowledge in machine learning and signal processing. Additionally, she holds the position of Associate Editor and the Senior Associate Editor for IEEE Signal Processing Letters and she also serves as an Associate Editor for the IEEE Transactions on Image Processing.
Throughout her career, Prof. Pustelnik has actively participated in the organization of prestigious conferences and workshops, including EUSIPCO, STATOS, IEEE ICIP, IEEE IVMSP, and IEEE MLSP by assuming various responsibilities such as student chair, program chair, tutorial chair, and more recently financial chair for EUSIPCO 2024. Prof. N. Pustelnik’s research, along with her active participation in the academic signal and image processing community, aspires to further mold the future and the visibility of the discipline.
Jean-Philippe Thiran
Jean-Philippe Thiran was born in Namur, Belgium, in 1970. He received his M.Sc. degree in electrical engineering and hos Ph.D. degree from the Université catholique de Louvain (UCL), Louvain-la-Neuve, Belgium, in 1993 and 1997, respectively. He joined the École polytechnique fédérale de Lausanne (EPFL), Lausanne, Switzerland, in 1998. He is currently a Full Professor at EPFL and Director of the Signal Processing Laboratory (LTS5). Since June 2021, he has been the Director of the EPFL Institute of Electrical and Micro Engineering.
His research field is computational imaging, with applications in many domains, including medical image analysis (diffusion magnetic resonance imaging (MRI), ultrasound imaging, and digital pathology) and computer vision. He is also a part-time Associate Professor with the Department of Radiology, University Hospital Center (CHUV) and University of Lausanne (UNIL), Lausanne. He is the author or the coauthor of one book, nine book chapters, 250 journal articles, and more than 270 peer-reviewed papers published in the proceedings of international conferences. He holds 12 international patents.
Prof. Thiran is a fellow of the European Association for Signal Processing (EURASIP). Among many other duties, he has been the General Chairperson of the 2008 European Signal Processing Conference (EUSIPCO 2008) and the Technical Co-Chair of the 2015 IEEE International Conference on Image Processing (IEEE ICIP 2015). From 2001 to 2005, he was Co-Editor-in-Chief of the EURASIP’s Signal Processing international journal (published by Elsevier Science). He has been an Associate Editor of the IEEE Transactions on Image Processing.