Invited Speakers

Invited Speakers

Fredrik Heintz

Professor, Department of Computer and Information Science (IDA), Linköping University

Fredrik Heintz is a Professor of Computer Science at Linköping University, where he directs the AI4x Center of Excellence, the Division of Artificial Intelligence and Integrated Computer Systems (AIICS), and the Reasoning and Learning lab (ReaL). His research focus is artificial intelligence especially Trustworthy AI and the intersection between machine reasoning and machine learning. Director of the Wallenberg AI and Transformative Technologies Education Development Program (WASP-ED), Co-director of the Wallenberg AI, Autonomous Systems and Software Program (WASP), Coordinator of the TrustLLM project, and Vice President for AI Research Adra the AI, Data, and Robotics partnership. Member of the Swedish AI Commission. Fellow of the Royal Swedish Academy of Engineering Sciences (IVA).

Isabel Valera

Full Professor on Machine Learning, Department of Computer Science, Saarland University

Isabel Valera is Full Professor of Machine Learning at the Department of Computer Science at Saarland University (Saarbrücken, Germany), and Adjunct Faculty at the MPI for Software Systems in Saarbrücken (Saarbrücken, Germany). She is the recipient of an ERC Starting Grant on “Society-Aware ML”, and a Fellow of the European Laboratory for Learning and Intelligent Systems (ELLIS). Previously, she was an independent group leader at the MPI for Intelligent Systems in Tübingen, Germany.  She received her Ph.D. in 2014 and her MSc in 2012 from the University Carlos III in Madrid, Spain, and worked as a postdoctoral researcher at the MPI for Software Systems (Germany) and the University of Cambridge (UK).  Her research focuses on the development of trustworthy machine learning methods that can be used in the real world.  Her research can be broadly categorized into three main themes: fair, interpretable, and robust machine learning. Her research interests cover a wide range of ML approaches, including deep learning, probabilistic modeling, causal inference, time series analysis, and many more.

Geoff Webb

Professor, Department of Data Science and Artificial Intelligence, Monash University

Geoff Webb is an Australian Laureate Fellow in the Monash University Department of Data Science and Artificial Intelligence. An eminent and highly-cited data scientist and AI researcher, he was editor in chief of the Data Mining and Knowledge Discovery journal from 2005 to 2014. He has been Program Committee Chair of both ACM SIGKDD and IEEE ICDM, as well as General Chair of ICDM and member of the ACM SIGKDD Executive. He is a Technical Advisor to machine learning as a service startup BigML Inc and to recommender systems startup FROOMLE. He pioneered multiple research areas as diverse as black-box user modelling, interactive data analytics and statistically-sound pattern discovery.  He has developed many useful machine learning algorithms that are widely deployed.  His many awards include IEEE Fellow, the inaugural Eureka Prize for Excellence in Data Science (2017), the IEEE International Conference on Data Mining Research Contributions Award (2024), the IEEE International Conference on Data Mining 10-year Highest Impact Award (2023) and membership of the Computing Research and Education Association of Australasia Academy (2024).