Professor Sarah Irene Brutton Kenderdine

Professor Sarah Kenderdine researches at the forefront of interactive and immersive experiences for galleries, libraries, archives and museums. She is professor at the École Polytechnique fédérale de Lausanne (EPFL), Switzerland, leading the Laboratory for Experimental Museology (eM+) and is curator-at-large of EPFL Pavilions. Sarah has pioneered the framework of computational museology, a scaffold that unites machine intelligence with data curation, ontology with visualization, and communities of publics and practitioners with embodied participation through kinaesthetic and interactive interfaces. She has created over 110 exhibitions and major installations. Her upcoming book, together with Lily Hibberd, is Deep Fakes: A Critical Lexicon of Digital Museology will be published by Routledge on 17 November 2025 (OA).

This project explores how artificial intelligence (AI) is transforming museums into anticipatory systems mediating between cultural heritage, science, and speculative futures. It distinguishes between discriminative and generative AI as complementary forms of cultural computation. Discriminative AI analyzes vast repositories of cultural data revealing hidden relationships and generating new interpretive frameworks. The Narratives from the Long Tail project exemplifies this approach, using machine learning to create narrative coherence across more than 200,000 hours of archival video. Generative AI, by contrast, produces new cultural forms that invite visitors to co-create within algorithmically mediated worlds. Projects such as the Geneva Public Portal to Anticipation engage global publics in exploring emerging science and speculative futures. Together, these modalities reposition the museum as both archive and laboratory for cultural foresight.

Prof. John C. S. LUI

John C.S. Lui is currently the Choh-Ming Li Chair Professor at the Chinese University of Hong Kong. His current research interests are in quantum Internet and the theory of online learning and optimization. He has been a visiting professor at UCLA, Columbia University, Caltech, Uni. of Maryland, Purdue University, Univ. of Massachusetts at Amherst, INRIA (France) and NII (Japan). He has been serving as the senior editor and associate editor in various IEEE and ACM Transactions, and has received numerous best paper awards in IEEE/ACM conferences, as well as teaching awards from CUHK. His personal interests include films and general readings.

In this talk, I will first give a brief introduction to quantum computing, and highlight the importance and opportunities for us to consider fundamental research in quantum Internet, in particular, how quantum network can enable quantum information transmission, quantum parallel processing and quantum distributed processing. I will then give a brief introduction about online learning theory, and how it can enable to explore interesting problems in building quantum network/internet. In particular, I will discuss the quantum path selection problem, as well as quantum boarder gateway protocol (QBGP).