• PhD defense: Towards Reliable Deep Foundation Models in OOD detection, model calibration, and hallucination mitigation

    Gothenburg Gothenburg, Göteborg, Sweden

    Welcome to the doctoral defense of Xixi Liu Date and time: March 31st, 14:00 Location: Lecture Hall SB-H4, Sven Hultins Gata 6, Gothenburg Doctoral student: Xixi Liu, Doctoral Student, Signal Processing and Biomedical Engineering, Electrical Engineering, Chalmers Title: Towards Reliable Deep Foundation Models in OOD detection, model calibration, and hallucination mitigation Main supervisor: Professor Christopher […]

  • PhD Defense: Pedestrian Behavior Prediction Using Machine Learning Methods

    Gothenburg Gothenburg, Göteborg, Sweden

    Welcome to the doctoral defense of Chi Zhang Date and time: December 17, 13:00 Location: Room 520 in Jupiter Building, Hörselgången 5, Lindholmen, Gothenburg Doctoral student: Chi Zhang, Department of Computer Science and Engineering, Chalmers University of Technology and University of Gothenburg Title: Pedestrian Behavior Prediction Using Machine Learning Methods Main supervisor: Professor Christian Berger, […]

  • The Disruptive Role of Data and AI in the Life Sciences

    Gothenburg Gothenburg, Göteborg, Sweden

    A Joint Conference between DDLS, WASP and WASP-HS. The conference will focus on different aspects of research where collaboration over scientific domains is essential and will explore the following topics: How data- and AI-driven research is shaping the future of life science Development of new approaches to human-in-the-loop technologies and their use The need for studies […]

  • PhD Defense: Learning When To Drive in Uncertain Scenarios: A deep Q-learning approach

    Gothenburg Gothenburg, Göteborg, Sweden

    Welcome to the Doctoral Defense of Tommy Tram Date and time: September 10, 10:00 Location: HC1, Hörsalsvägen 14, Chalmers University of Technology, Gothenburg Doctoral student: Tommy Tram, Systems and Control, Department of Electrical Engineering, Chalmers University of Technology, and Zenseact Title: Learning When To Drive in Uncertain Scenarios: A deep Q-learning approach Main supervisors: Jonas […]

  • 2024 WASP-WISE symposium on Machine Learning for Materials and Molecular Discoveries

    Gothenburg Gothenburg, Göteborg, Sweden

    The 2024 WASP-WISE symposium on Machine Learning for Materials and Molecular Discoveries (ML2MD) seeks to highlight some of the key research developments at the interface of machine learning and materials of the past couple of years, focusing on the following themes: Generative AI for Materials and Molecules ML-accelerated Simulations Automation, Experiments, and Machine Learning Foundation […]

  • PhD Defense: Combinatorial Semi-Bandit Methods for Navigation of Electric Vehicles

    Gothenburg Gothenburg, Göteborg, Sweden

    Welcome to the Doctoral Defense of Niklas Åkerblom Date and time: March 15, 13:00 Location: EC, Hörsalsvägen 11, Gothenburg Doctoral student: Niklas Åkerblom, Data Science and AI, Department of Computer Science and Engineering, Chalmers University of Technology Title: Combinatorial Semi-Bandit Methods for Navigation of Electric Vehicles Main supervisor: Morteza Haghir Chehreghan, Associate Professor, Data Science and […]

  • PhD Defense: Journeys in vector space: Using deep neural network representations to aid automotive software engineering

    Gothenburg Gothenburg, Göteborg, Sweden

    Welcome to the Doctoral Defense of Dhasarathy Parthasarathy Date and time: December 13, 14:15 Location: Analysen, EDIT, Rännvägen 6B, Gothenburg, and online (see link) Doctoral student: Dhasarathy Parthasarathy, Department of Computer Science and Engineering, Chalmers University of Technology and University of Gothenburg Title: Journeys in vector space: Using deep neural network representations to aid automotive software engineering Main […]

  • PhD Defense: Principled Flow Tracking in IoT and Low-Level Applications

    Gothenburg Gothenburg, Göteborg, Sweden

    Welcome to Doctoral Defense of Iulia Bastys Date and time: February 8, 13:15 - 16:00 Location: Lecture hall HA4, Hörsalsvägen 4, Hörsalar HA, Gothenburg Doctoral student: Iulia Bastys, Department of Computer Science and Engineering, Chalmers University of Technology Title: Principled Flow Tracking in IoT and Low-Level Applications Supervisor: Andrei Sabefeld, Chalmers University of Technology Opponent: Limin Jia, Carnegie Mellon […]