Keynotes & Panels

Anna Rogers is a tenured Associate Professor in the Data Science Section at the IT University of Copenhagen, affiliated with the NLPNorth research group. Her work focuses on interpretability and robustness of NLP applications based on Large Language Models, as well as their sociotechnical impacts. She is currently an editor-in-chief of ACL Rolling Review, the peer review platform for all major NLP conferences. She is also one of the chief scientists of the National Centre for Artificial Intelligence in Society (CAISA).

Roberta Sinatra is Professor of Computational Social Science at the University of Copenhagen (KU) and at the IT University of Copenhagen (ITU), and External Faculty at the Complexity Science Hub in Austria. She co-founded the NEtwoRks, Data, and Society (NERDS) research group at ITU, which she led from 2019 to 2022, and is co-lead of the Pioneer Centre for AI in Copenhagen. Her research sits at the intersection of network science, data science, and computational social science. She has received several awards, including the Complex Systems Society Junior Prize, the DPG Young Scientist Award for Socio- and Econophysics, a Villum Young Investigator grant, and an ERC Consolidator Grant.

Isabelle Augenstein is a Professor of Computer Science at the University of Copenhagen, where she co-leads the Danish Pioneer Centre for Artificial Intelligence. Her work on explainability, factuality, and bias in NLP has been recognized with an ERC Starting Grant, the Karen Spärck Jones Award, and election to the Royal Danish Academy of Sciences and Letters.

Dima Damen is a Professor of Computer Vision at the University of Bristol and Senior Research Scientist at Google DeepMind. Dima is currently an EPSRC Fellow (2020-2026), focusing her research interests in the automatic understanding of object interactions, actions and activities using wearable visual (and depth) sensors. She is best known for her leading works in Egocentric Vision, and has also contributed to novel research questions including mono-to-3D, video object segmentation, assessing action completion, domain adaptation, skill/expertise determination from video sequences, discovering task-relevant objects, dual-domain and dual-time learning as well as multi-modal fusion using vision, audio and language. She is the project lead for EPIC-KITCHENS, the seminal dataset in egocentric vision, with accompanying open challenges and follow-up works: EPIC-Sounds, VISOR and EPIC Fields, as well as the recent HD-EPIC. She is part of the large-scale consortium effort Ego4D and Ego-Exo4D. She is an ELLIS Fellow, associate editor (AE) of IJCV, and was a program chair for ICCV 2021 and Associate Editor-in-Chief (AEIC) of IEEE TPAMI (2023-2025). She is frequently a Senior Area Chair and Area Chair in major conferences and was selected as Outstanding SAC in ECCV 2024 and Outstanding Reviewer in CVPR2021, CVPR2020, ICCV2017, CVPR2013 and CVPR2012. Dima received her PhD from the University of Leeds (2009), joined the University of Bristol as a Postdoctoral Researcher (2010-2012), Assistant Professor (2013-2018), Associate Professor (2018-2021) and was appointed as chair in August 2021. She supervises 2 postdoctoral researchers, 8 PhD students and 2 Visiting PhD students. At the University of Bristol, Dima leads the Machine Learning and Computer Vision (MaVi) lab (https://uob-mavi.github.io/). At Google DeepMind, Dima is part of the Vision team, led by Andrew Zisserman, focusing on video understanding research. Her latest contribution is to the CVPR 2025 paper: Learning from Streaming Video with Orthogonal Gradients (https://openaccess.thecvf.com/content/CVPR2025/papers/Han_Learning_from_Streaming_Video_with_Orthogonal_Gradients_CVPR_2025_paper.pdf)

Yilun Du is an Assistant Professor at Harvard in the Kempner Institute and Computer Science. He received his PhD from MIT EECS, advised by Leslie Kaelbling, Tomas Lozano-Perez, and Joshua B. Tenenbaum. He also holds a bachelor's degree from MIT, was a research fellow at OpenAI and a senior research scientist at Google DeepMind. His research focuses on developing intelligent embodied agents in the physical world through generative AI, decision making, and robot learning.

Viorica Patraucean is a Research Scientist in Google DeepMind, interested in efficient multimodal world models and their evaluation. She is the lead organiser of the annual Perception Test challenge, which tracks progress in multimodal video understanding (at the fourth edition this year at ECCV). She is also the co-founder of the Eastern European Machine Learning summer school, which brings together students and ML experts from all over the world in an Eastern European country, to raise the visibility of this region in the community.