Two organizing committees run one day. Each track keeps its own program committee and reviewing process; the shared sessions are organised jointly.
Human Technopole (Milan), the Computational Pathology Group at Radboudumc (DIAG), the University of Molise, and DIETI at the University of Naples Federico II.
Genomics Research Centre, Human Technopole, Milan, Italy
Postdoctoral researcher on unsupervised phenotyping and deep learning for medical imaging, linking imaging to molecular data. Also Lecturer in AI for Medical Imaging at Otto von Guericke University Magdeburg. Co-organizer of REHMED 2026 at ECML-PKDD and organizer of the SMILE-UHURA challenge.
Computational Pathology Group, DIAG, Radboudumc, The Netherlands
Associate Professor and leader of the AI for Precision Medicine group, working on deep learning for whole-slide image analysis and multi-stain tissue understanding. Organizer of computational pathology workshops and grand challenges, including COMPAYL and TIGER.
Computational Pathology Group, DIAG, Radboudumc, The Netherlands
Lead organizer, OWL challenge
PhD candidate in AI for histopathology, focusing on domain shift, biomarker discovery and AI interpretability. Co-organizer of COMPAYL workshops and the LEOPARD challenge. Lead organizer and administrator of the OWL challenge.
Computational Pathology Group, DIAG, Radboudumc, The Netherlands
Postdoctoral researcher working on deep learning across imaging modalities for tissue analysis and tumour-immune interactions, with a focus on multiplex and beyond-H&E imaging.
University of Molise, Campobasso, Italy
Associate Professor of Anatomic Pathology and Medical Consultant at AOU Federico II, Naples. Practising pathologist with research interests in digital pathology and molecular diagnostics.
DIETI, University of Naples Federico II, Italy
Associate Professor working on knowledge representation and multimedia information systems. Head of the IKNOS Research Unit and of the CINI Digital Health Laboratory UNINA unit, and leader of COSMO Lab (CNR IEOS-UNINA).
DIETI, University of Naples Federico II, Italy
Primary contact, CVPath
Researcher in computer vision for computational pathology, working on deep learning safety, adversarial robustness and lightweight nuclei instance segmentation. Co-organizer of AIBio 2025 at ECAI 2025 and REHMED 2026 at ECML-PKDD 2026.
University of Colorado Colorado Springs, and Seattle Children's Research Institute with the University of Washington.
University of Colorado Colorado Springs, USA
Primary contact, Vision4Neuro
PhD candidate in the UCCS NeuroCognition Laboratory, working on EEG-to-video reconstruction, open-set recognition for EEG brain-computer interfaces, and multimodal vision-language models for gaze-based clinical classification. Co-founder and Lead Research Engineer at NeuroSentient Technologies, developing gaze-driven assistive communication systems.
University of Colorado Colorado Springs, USA
Associate Professor of Computer Science and Director of the NeuroCognition Laboratory, with a PhD in cognitive and computational neuroscience from Flinders University. He was previously a member of the Data Acquisition and Analytics Core of the Autism Biomarkers Consortium for Clinical Trials at the Yale Child Study Center, and later at the University of Washington and Seattle Children's Research Institute. His research spans brain-computer interfaces, EEG and fNIRS analysis, eye tracking, and machine learning for neural signals.
University of Colorado Colorado Springs, USA
El Pomar Endowed Professor of Innovation and Security and co-director of the Bachelor of Innovation degrees, leading the Vision and Security Technology (VAST) Lab. His work established open set recognition and novelty detection as core problems in computer vision. A co-founder of the Computer Vision Foundation and its Treasurer, he chaired the IEEE Technical Committee on Pattern Analysis and Machine Intelligence and has served in general and program chair roles at WACV.
Seattle Children's Research Institute and University of Washington, USA
Professor of Pediatrics at the University of Washington, Adjunct Professor of Computer Science and Engineering and of Psychology, and Principal Investigator at Seattle Children's Research Institute, where he directs the Seattle Children's Innovative Technologies Laboratory. Trained in computer science at Yale, he studies the mechanisms and markers of autism and other neurodevelopmental conditions using eye tracking, functional near-infrared spectroscopy, and technology-enhanced behavioural paradigms.
Reviewing for each track is handled by its own program committee.
Further members are being confirmed and will be listed as they are added.
Each track has a primary contact. Anything concerning the day as a whole — program, panel, poster session, sponsorship — can go to either address.
Please write in English, and mention the track in the subject line so that your message reaches the right committee quickly.