Invited Speakers 🎤
Prof. Navab is a Full Professor and Director of the Laboratories for Computer Aided Medical Procedures at the Technical University of Munich, where he also directs the Medical Augmented Reality Summer School series. He earned his PhD at INRIA/Paris XI, followed by postdoctoral research at the MIT Media Laboratory.
His research focuses on computer-aided medical procedures and augmented reality, bridging the gap between medicine and computer science, with pioneering contributions to digital surgical workflow modeling and robotic imaging.
Prof. Navab has served on the Board of Directors of the MICCAI Society and sits on the editorial boards of several leading journals, including IEEE Transactions on Medical Imaging, Medical Image Analysis, and Medical Physics. Among his many honors are the MICCAI Enduring Impact Award, the IEEE ISMAR Career Impact Award, and the Siemens Inventor of the Year Award. He is a Fellow of MICCAI, ELLIS, IEEE, and a Member of Academia Europaea.
Prof. Faisal is Professor of AI & Neuroscience in the Department of Computing and the Department of Bioengineering at Imperial College London, and holds a Chair in Digital Health at the University of Bayreuth. He earned his PhD at the University of Cambridge, working on the biophysical sources of neuronal variability, and was subsequently elected a Junior Research Fellow at Wolfson College, Cambridge.
He is Founding Director of the UKRI Centre for Doctoral Training in AI for Healthcare, and leads the Brain & Behaviour Lab and the Behaviour Analytics Lab, working at the intersection of AI, neuroscience, and human behaviour analytics.
Prof. Faisal serves as Associate Editor for Nature Scientific Data and PLOS Computational Biology, and has chaired major conferences including KDD, NeurIPS, and IEEE BSN. Among his honors are the UKRI Turing AI Fellowship, the Toyota Mobility Foundation Research Discovery Prize, and the Rosetree Interdisciplinary Award.
Prof. Yamasaki is a Professor in the Department of Information and Communication Engineering, Graduate School of Information Science and Technology, at The University of Tokyo. He earned his PhD at The University of Tokyo.
His research spans computer vision, pattern recognition, and machine learning, bridging foundational AI research and real-world applications, including work on attractiveness computing, AI-assisted profiling and recommendation, and trustworthy AI.
Prof. Yamasaki actively collaborates with industry and academic partners to address large-scale societal challenges through his research.
Prof. Feragen is Professor at the Technical University of Denmark and CSO of Prenaital. She earned her MSc and PhD in Mathematics at the University of Helsinki, followed by postdoctoral research at the University of Copenhagen and the Max Planck Institute for Intelligent Systems in Tübingen.
Her research sits at the intersection of machine learning, mathematics, and medical imaging, with a particular focus on responsible AI for practical use, including uncertainty quantification, explainable AI, and algorithmic fairness.
Prof. Feragen has helped build a Danish cross-university research group specializing in AI for fetal ultrasound, work that led to the founding of Prenaital, whose mission is to give access to best-in-class prenatal care by using AI to support clinicians of every experience level.