Nuno M. M. Rodrigues graduated in 1997 and received the M.Sc. degree in 2000, from the Universidade de Coimbra, Portugal. He concluded his Ph.D. degree from the Universidade de Coimbra, in 2009, in collaboration with the Universidade Federal do Rio de Janeiro, Brazil. Since 1997, he is a Professor in the Department of Electrical Engineering, in the Polytechnic University of Leiria (School of Technology and Management – ESTG), in Portugal. He has held several relevant management positions, including Vice President for Research of the Polytechnic University of Leiria (2018-2022), Vice Dean of ESTG (2014-2018) and coordinator of the bachelor degree in Electrical Engineering (2010-2013). He has been a member of several academic and management councils. He was the founding Coordinator of the Regional University Network - European University (www.run-eu.eu), from 2020 to 2022. Since 2000, he has been with Instituto de Telecomunicações, Portugal, where he is a Senior Researcher. He is a Senior Member of IEEE and a member of EURASIP - European Association of Signal Processing. He is the JPEG Requirements Group Co-Chair, since 2025, the founding Chair of the Signal Processing Chapter of IEEE Portugal and a member of the Visual Signal Processing and Communications Technical Committee (VSPC TC), from the IEEE Circuit and Systems Society. He has coordinated and participated as a researcher in various national and international projects, funded by agencies like FCT, Horizon 2020 and Erasmus, including 4 FCT projects (2 of which he coordinated or co-coordinated), one COST action and more than 10 other national and international projects. He has supervised 3 concluded PhD and 10 concluded MSc thesis. He is the co-author of one book, 4 book chapters, 24 papers in international journals and more than 80 conference papers. He is or has been an Associated Editor of several international journals, including: IEEE Transactions on Multimedia, IEEE Open Journal of Signal Processing, Signal Processing: Image Communication, EURASIP Journal on Image and Video Processing and APSIPA Transactions on Signal and Information Processing (ATSIP). Over the past five years, the central focus of this research has been the use of deep learning (DL) techniques for multimedia signal compression and processing, including new emerging immersive image and video modalities. This work led to several important publications and significant contributions to international standardization efforts, particularly within the JPEG group and the JPEG PLENO project. He is recognized as one major contributor to the development of the international JPEG standard for encoding static point clouds — both geometry-only and geometry with color. His work currently focuses on compressed-domain processing techniques, applying computer vision techniques directly to the deep learning–based compressed representations, and the compression and processing of signals from neuromorphic (event-based) cameras.