Dr. Giuseppe Valenzise is a CNRS researcher at the Laboratoire des Signaux et Systèmes, CentraleSupélec, Université Paris-Saclay, France, where he leads the Multimedia and Networking team. He is Editor-in-Chief of the Springer EURASIP Journal on Image and Video Processing. He received his PhD from Politecnico di Milano, Italy. His research covers image and video processing, with a focus on compression (traditional and learning-based), light field and point cloud coding, quality assessment, high dynamic range imaging, and machine learning for visual analysis. He has co-authored over 100 publications in these areas and received the EURASIP Early Career Award in 2018. Giuseppe was General Chair of ICME 2025 and regularly serves on organizing committees of flagship conferences such as ICIP. He has been Associate Editor for IEEE TCSVT, IEEE TIP, and Signal Processing: Image Communication. He is currently Chair of the IEEE SPS Multimedia Signal Processing Technical Committee and a member of the IEEE CAS Multimedia Systems and Applications Technical Committee.

Inês Domingues holds a PhD in Electrical and Computer Engineering (FEUP, 2015), a MSc in Electrical and Telecommunications Engineering (UA, 2008), and a BSc in Applied Mathematics (FCUP, 2004). She is currently an Assistant Professor at the Polytechnic University of Coimbra and a researcher at the Portuguese Oncology Institute of Porto (CI-IPOP) and at the RISE – Health Research Network.

Her research focuses on artificial intelligence for medical image analysis, with contributions in deep learning, radiomics, multimodal data fusion, and explainable AI, particularly in oncology. She is the Principal Investigator of the TIPTOP project and has been involved in several national and international research projects, including ESTIMA. Inês has authored over 100 scientific publications and serves on the editorial boards of journals such as IEEE Access, Artificial Intelligence in Oncology, and BMC AI. She has received multiple awards, including four IEEE Access Outstanding Associate Editor recognitions.

Inês is actively involved in the scientific community as a reviewer, editor, and member of organizing and program committees for conferences such as MICCAI, ISBI, and IbPRIA. She is Past-President of the Portuguese Pattern Recognition Association (APRP) and a member of the IAPR Governing Board.

Francesco Renna received the Laurea Specialistica degree in telecommunication engineering and the Ph.D. degree in information engineering, both from the University of Padova, Padova, Italy, in 2006 and 2011, respectively. Between 2007 and 2019, he held Visiting Researcher and Postdoctoral appointments with Infineon Technology AG, Princeton University, Georgia Institute of Technology (Lorraine Campus), Supelec, University of Porto, Duke University, University College London, and University of Cambridge. From 2019 to 2022, he has been an Assistant Researcher at Instituto de Telecomunicações, Porto. Since 2022, he is a researcher with INESC TEC. Since 2023, he has been an Assistant Professor at the University of Porto, Portugal. His research interests include high-dimensional information processing and biomedical signal and image processing, with focus on the use of artificial intelligence solutions for cardiovascular disease screening in underprivileged scenarios. 

Dr. Renna was the recipient of a Marie Sklodowska-Curie Individual Fellowship from the European Commission and a Research Contract within the Scientific Employment Stimulus program from the Portuguese Foundation for Science and Technology.