IbPRIA 2023 image number 3
IbPRIA 2023: 11th Iberian Conference on Pattern Recognition and Image Analysis
Alicante, Spain. June 27-30, 2023
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Plenary Talks

Timothy Hospedales

Timothy Hospedales is a Full Professor of Artificial Intelligence at the University of Edinburgh, where he heads the Machine Intelligence Group, and Programme Director for Machine Learning and Data Intelligence at Samsung AI Centre Cambridge. He has worked extensively on learning with limited data, with applications in computer vision, pattern recognition, and beyond; and received funding from the European Commission and UK Research Councils. He has published numerous papers in top venues such as CVPR, NeurIPS, ICML, ICLR, AAAI, and PAMI, several of which have won best paper prizes and nominations; and recently co-authored a book on deep domain adaptation in computer vision. He is/was an Associate Editor of IEEE Transaction on Pattern Analysis and Machine Intelligence, Program Chair of BMVC, Associate Program Chair of AAAI, ELLIS fellow, and Alan Turing Institute fellow.

Nuria Oliver

Nuria Oliver is a computer scientist with over 25 years of research experience in Artificial Intelligence, Human Computer Interaction and Mobile Computing at MIT (1995-2000), Microsoft Research (2000-2007), and as the first female Scientific Director at Telefonica R&D (2007-2016), the first Chief Data Scientist at DataPop Alliance (2015-present) and the first Director of Research in Data Science at Vodafone (2017-2019). She is co-founder and vice-president of ELLIS (European Laboratory of Learning and Intelligent Systems) and co-founder and director of the Alicante ELLIS Unit, devoted to research on "Human(ity)-centric Artificial Intelligence". Between 2020 and 2022, she was Commissioner for the President of the Valencian Region on AI Strategy and Data Science to fight COVID-19. She led at team with ~20 data scientists and co-led the winning team of the XPRIZE Pandemic Response Challenge. She is honored to be the first female computer scientist in Spain named both a Distinguished Scientist of the ACM and an ACM Fellow. She is also a Fellow of the European Association of Artificial Intelligence (eurAI) and an IEEE Fellow. She is a member of the Spanish Royal Academy of Engineering. She has received a number of awards, including the King James I Award in New Technologies (2021), the Abie Technology Leadership Award (2021), European Data Scientist of the Year (2019), the Spanish Angela Robles National Computer Science Award (2016), European Digital Woman of the Year (2016), the Gaudi Gresol Award to the Excellence in Science and Technology (2016), the Spanish Ada Byron Award by the University of Deusto (2016), ACM ICMI 2014 10-year Technical Impact Award (2014), a Rising Talent Award by the Women's Forum for the Economy and Society (2009), MIT’s ‘TR100 Young Innovators Award’ (2004) and the First Spanish Award of EECS graduates (1994). Nuria has published over 160 scientific papers in international conferences, journals and book chapters. Her work has been widely recognized by the scientific community with over 21000 citations. She has ~40 patent applications and granted patents. Nuria is well known for her work in computational models of human behavior, human computer-interaction, intelligent user interfaces, mobile computing and big data for social good.

Gustau Camps (pending confirmation)

Gustau Camps-Valls (IEEE Fellow'18, ELLIS Fellow, IEEE Distinguished lecturer, PhD in Physics) is a Full professor in Electrical Engineering and head of the Image and Signal Processing (ISP) group, at the Universitat de València. He is interested in the development of machine learning algorithms for geosciences and remote sensing data analysis. He is an author of around 250 journal papers, more than 300 conference papers, 25 international book chapters, and editor of 6 books on kernel methods and deep learning. He holds a Hirsch's index h=75 (Google Scholar), entered the ISI list of Highly Cited Researchers in 2011, and Thomson Reuters ScienceWatch identified one of his papers on kernel-based analysis of hyperspectral images as a Fast Moving Front research. He received two European Research Council (ERC) grants: an ERC Consolidator grant on "Statistical learning for Earth observation data analysis" (2015) and an ERC Synergy grant on "Understanding and Modelling the Earth system with machine learning" (2019). In 2016 he was included in the prestigious IEEE Distinguished Lecturer program of the GRSS.




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