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METHOD:PUBLISH
X-ORIGINAL-URL:https://wasp-sweden.org
X-WR-CALDESC:Events for WASP
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:+01:00
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BEGIN:VEVENT
DTSTART;TZID=+01:00:20240530T130000
DTEND;TZID=+01:00:20240530T235900
DTSTAMP:20260602T053134
CREATED:20240516T090232Z
LAST-MODIFIED:20260601T083816Z
UID:10000184-1717074000-1717113540@wasp-sweden.org
SUMMARY:PhD Defense: Artificial Intelligence for Medical Image Analysis with Limited Data
DESCRIPTION:Welcome to the Doctoral Defense of Christos Matsoukas\n \nDate and time: May 30\, 13:00\n \nLocation: Kollegiesalen\, Brinellvägen 8\, Stockholm \nDoctoral student: Christos Matsoukas\, Division of Computational Science and Technology\, KTH Royal Institute of Technology\, and AstraZeneca \nTitle: Artificial Intelligence for Medical Image Analysis with Limited Data \nSupervisors: Kevin Smith\, associate professor\, Division of Computational Science and Technology\, KTH; Josephine Sullivan\, associate professor\, Division of Robotics\, Perception and Learning\, KTH; Magnus Söderberg\, AstraZeneca \nOpponent: Gabriel Eilertsen\, assistant professor\, Media and Information Technology\, Linköping University
URL:https://wasp-sweden.org/event/phd-defense-artificial-intelligence-for-medical-image-analysis-with-limited-data/
LOCATION:Kollegiesalen\, Brinellvägen 8\, Stockholm\, Kollegiesalen\, Brinellvägen 8\, Stockholm\, Stockholm\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20240528T091500
DTEND;TZID=+01:00:20240528T235900
DTSTAMP:20260602T053134
CREATED:20240514T130156Z
LAST-MODIFIED:20260601T083817Z
UID:10000185-1716887700-1716940740@wasp-sweden.org
SUMMARY:PhD Defense: Dividing the Indivisible: Algorithms\, Empirical Advances\, and Complexity Results for Value-Maximizing Combinatorial Assignment Problems
DESCRIPTION:Welcome to the Doctoral Defense of Fredrik Präntare\n \nDate and time: May 28\, 09:15\n \nLocation: Ada Lovelace\, B-building\, Campus Valla\, Linköping \nDoctoral student: Fredrik Präntare\, Department of Computer and Information Science\, Linköping University \nTitle: Dividing the Indivisible: Algorithms\, Empirical Advances\, and Complexity Results for Value-Maximizing Combinatorial Assignment Problems \nMain supervisor: Fredrik Heintz\, Professor\, Department of Computer and Information Science\, Linköping University \nOpponent: Carles Sierra\, Professor\, IIIA/CSIC\, Spain \nOriginal location: Ada Lovelace\, B-building\, Campus Valla\, Linköping
URL:https://wasp-sweden.org/event/phd-defense-dividing-the-indivisible-algorithms-empirical-advances-and-complexity-results-for-value-maximizing-combinatorial-assignment-problems/
LOCATION:Ada Lovelace\, B-building\, Campus Valla\, Linköping University\, Ada Lovelace\, B-building\, Campus Valla\, Linköping University\, Linköping\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20240527T100000
DTEND;TZID=+01:00:20240527T235900
DTSTAMP:20260602T053134
CREATED:20240429T074927Z
LAST-MODIFIED:20260601T083819Z
UID:10000190-1716804000-1716854340@wasp-sweden.org
SUMMARY:Webinar: WASP Industrial Postdoc and PhD Student Calls 2024
DESCRIPTION:Interested in WASP’s Industrial Postdoc and PhD Student calls? Join our webinar to learn more! \nWASP is offering up to 5 industrial postdoc positions\, as well as up to 15 industrial doctoral student projects\, within AI\, Autonomous systems and Software. The calls are open between June 10 and October 1\, 2024. \nWASP invites everyone interested in the Industrial PhD Student Call and the Industrial Postdoc Call to a webinar on May 27\, 2024. \nProgram\n10:00   Introduction\nDanica Kragic\, WASP Co-director\, KTH Royal Institute of Technology \n10:15   General presentation about WASP Industrial PhD Student program\nKarl-Erik Årzén\, WASP Co-director\, Lund University \n10:40   General presentation about WASP Industrial postdoc program \nKarl-Erik Årzén\, WASP Co-director\, Lund University \n10:50   WASP Graduate School\nDaniel Axehill\, WASP Graduate School Director\, Linköping University \n11:10   Perspectives from industry\nChristoffer Petersson\, industrial supervisor at Zenseact\, and Georg Hess\, industrial PhD student at Zenseact \n11:40   Questions and discussion \n12:00   Wrap up \nQuestions?\nQuestions about the webinar or the calls can be sent to info@wasp-sweden.org
URL:https://wasp-sweden.org/event/webinar-wasp-industrial-postdoc-and-phd-student-calls-2024/
LOCATION:Online\, Online\, Other
CATEGORIES:Webinar
ATTACH;FMTTYPE=image/jpeg:https://wasp-sweden.org/wp-content/uploads/2019/11/WASP-RTSL-puff_26902_JPG-medium.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20240524T130000
DTEND;TZID=+01:00:20240524T235900
DTSTAMP:20260602T053134
CREATED:20240506T122523Z
LAST-MODIFIED:20260601T083818Z
UID:10000188-1716555600-1716595140@wasp-sweden.org
SUMMARY:PhD Defense: Algorithms and Models in Nanopore DNA Sequencing: Advanced Decoding and Modeling with Hierarchical Hidden Markov Models
DESCRIPTION:Welcome to the Doctoral Defense of Xuechun Xu\n \nDate and time: May 24\, 13:00\n \nLocation: F3 (Flodis)\, Lindstedtsvägen 26 & 28\, Stockholm \nDoctoral student: Xuechun Xu\, Division of Information Science and Engineering\, KTH Royal Institute of Technology \nTitle: Algorithms and Models in Nanopore DNA Sequencing: Advanced Decoding and Modeling with Hierarchical Hidden Markov Models \nMain supervisor: Professor Joakim Jaldén\, Division of Information Science and Engineering\, KTH Royal Institute of Technology \nOpponent: Professor Broňa Brejová\, Department of Computer Science\, Faculty of Mathematics\, Physics and Informatics\, Comenius University Bratislava \nOriginal location: F3 (Flodis)\, Lindstedtsvägen 26 & 28\, Stockholm
URL:https://wasp-sweden.org/event/phd-defense-algorithms-and-models-in-nanopore-dna-sequencing-advanced-decoding-and-modeling-with-hierarchical-hidden-markov-models/
LOCATION:Stockholm\, Stockholm\, Stockholm\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20240523T100000
DTEND;TZID=+01:00:20240523T235900
DTSTAMP:20260602T053134
CREATED:20231219T082618Z
LAST-MODIFIED:20260601T083824Z
UID:10000202-1716458400-1716508740@wasp-sweden.org
SUMMARY:WASP4ALL 2024
DESCRIPTION:WASP4ALL 2024\n– An open discussion on human-centered technologies in the era of AI and autonomy\nHow do we conduct state-of-the-art technical research in a fast-moving area while respecting regulations\, considering ethics\, and cherishing human values?  \nThe conference will adress themes in areas such as: \n\nRegulate first? – AI Act in view of the rapidly evolving technical landscape\nA practical approach to ethical approvals in technology research\nHuman-centered approach in technical research\n\nThe conference is organized by WASP in collaboration with WASP-HS. \nMost Welcome! \n\nDate and Time\nMay 23rd\, 10:00-16:30 \nRegistration opens at 09:00. Coffee and sandwiches will be served in the morning. The program officially starts at 10:00. \nVenue\nVinterträdgården is situated in Grand Hôtel\, Stockholm. The venue is reached by a separate entrance at Stallgatan 6. \nPlease be reminded that you are responsible for arranging your own accommodation and travel. \nTarget Audience\nThe conference is targeting researchers and research leaders from academia and industry with or without prior connection to WASP. \nRegistration\nRegister here \nLast day to register is April 29.\n \nUpon registration you will receive a confirmation by email. If you shouldn’t receive a confirmation\, please contact us to make sure that you are registered. We can not guarantee participation without a valid registration. \n\n  \nOriginal location: Vinterträdgården\, Grand Hôtel\, Stockholm
URL:https://wasp-sweden.org/event/wasp4all-2024/
LOCATION:Stockholm\, Stockholm\, Stockholm\, Sweden
CATEGORIES:Conference
ATTACH;FMTTYPE=image/png:https://wasp-sweden.org/wp-content/uploads/2023/12/Grand-Hotel.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20240412T100000
DTEND;TZID=+01:00:20240412T235900
DTSTAMP:20260602T053134
CREATED:20240322T113827Z
LAST-MODIFIED:20260601T083819Z
UID:10000191-1712916000-1712966340@wasp-sweden.org
SUMMARY:PhD Defense: Robot Learning for Deformable Object Manipulation Tasks
DESCRIPTION:Welcome to the Doctoral Defense of Rita Laezza\n \nDate and time: April 12\, 10:00\n \nLocation: EB\, Hörsalsvägen 11\, Chalmers University of Technology\, Gothenburg\, and online (see link) \nDoctoral student:  Rita Laezza\, Systems and Control\, Chalmers University of Technology \nTitle: Robot Learning for Deformable Object Manipulation Tasks \nMain supervisor: Yiannis Karayiannidis\, Researcher\, Systems and Control\, Chalmers University of Technology \nOpponent: Prof. Gianluca Palli\, University of Bologna\, Italy \nOriginal location: EB\, Hörsalsvägen 11\, Chalmers\, & online
URL:https://wasp-sweden.org/event/phd-defense-robot-learning-for-deformable-object-manipulation-tasks/
LOCATION:Chalmers University of Technology\, Chalmers University of Technology\, Göteborg\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20240408T100000
DTEND;TZID=+01:00:20240408T235900
DTSTAMP:20260602T053134
CREATED:20240308T085940Z
LAST-MODIFIED:20260601T083820Z
UID:10000193-1712570400-1712620740@wasp-sweden.org
SUMMARY:PhD Defense: Single Base Station mmWave Radio Positioning\, Mapping\, and SLAM
DESCRIPTION:Welcome to the Doctoral Defense of Yu Ge\n \nDate and time: April 8\, 10:00\n \nLocation: SB-H4\, Building Samhällsbyggnad I-II\, Chalmers University of Technology\, Gothenburg \nDoctoral student: Yu Ge\, Communication\, Antennas and Optical Networks\, Department of Electrical Engineering Chalmers University of Technology \nTitle: Single Base Station mmWave Radio Positioning\, Mapping\, and SLAM \nMain supervisor: Professor Henk Wymeersch\, Communication\, Antennas and Optical Networks\, Department of Electrical Engineering\, Chalmers University of Technology \nOpponent: Professor Gustaf Hendeby\, Department of Electrical Engineering\, Linköping University \nOriginal location: SB-H4\, Building Samhällsbyggnad I-II\, Chalmers\, Gothenburg
URL:https://wasp-sweden.org/event/phd-defense-single-base-station-mmwave-radio-positioning-mapping-and-slam/
LOCATION:Chalmers University of Technology\, Chalmers University of Technology\, Göteborg\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20240315T131500
DTEND;TZID=+01:00:20240315T235900
DTSTAMP:20260602T053134
CREATED:20240226T082739Z
LAST-MODIFIED:20260601T083821Z
UID:10000195-1710508500-1710547140@wasp-sweden.org
SUMMARY:PhD Defense: Evaluating and Improving Rendered Visual Experiences: Metrics\, Compression\, Higher Frame Rates & Recoloring
DESCRIPTION:Welcome to the Doctoral Defense of Pontus Ebelin \nDate and time: March 15\, 13:15\n \nLocation: Lecture Hall Hörmander\, Centre of Mathematical Sciences\, Sölvegatan 18\, Faculty of Engineering LTH\, Lund University\, Lund \nDoctoral student: Pontus Ebelin\, NVIDIA and the Division of Computer Vision and Machine Learning\, Lund University \nTitle: Evaluating and Improving Rendered Visual Experiences: Metrics\, Compression\, Higher Frame Rates & Recoloring \nMain supervisors: Karl Åström\, Professor\, Division of Computer Vision and Machine Learning\, Lund University\, and Tomas Akenine-Möller\, Distinguished Research Scientist\, NVIDIA and Professor\, Lund University \nOpponent:  Veronica Sundstedt\, Associate Professor\, Blekinge Institute of Technology \nOriginal location: Lecture Hall MH:Hörmander\, Centre for Mathematical Sciences\, Sölvegatan 18\, Faculty of Engineering LTH\, Lund University
URL:https://wasp-sweden.org/event/phd-defense-evaluating-and-improving-rendered-visual-experiences-metrics-compression-higher-frame-rates-recoloring/
LOCATION:MH:Hörmander\, E:A\, Centre for Mathematical Sciences\, Sölvegatan 18\, Faculty of Engineering LTH\, Lund University\, MH:Hörmander\, E:A\, Centre for Mathematical Sciences\, Sölvegatan 18\, Faculty of Engineering LTH\, Lund University\, Lund\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20240315T130000
DTEND;TZID=+01:00:20240315T235900
DTSTAMP:20260602T053134
CREATED:20240308T084325Z
LAST-MODIFIED:20260601T083821Z
UID:10000194-1710507600-1710547140@wasp-sweden.org
SUMMARY:PhD Defense: Combinatorial Semi-Bandit Methods for Navigation of Electric Vehicles
DESCRIPTION:Welcome to the Doctoral Defense of Niklas Åkerblom\n \nDate and time: March 15\, 13:00\n \nLocation: EC\, Hörsalsvägen 11\, Gothenburg \nDoctoral student: Niklas Åkerblom\, Data Science and AI\, Department of Computer Science and Engineering\, Chalmers University of Technology \nTitle: Combinatorial Semi-Bandit Methods for Navigation of Electric Vehicles \nMain supervisor: Morteza Haghir Chehreghan\, Associate Professor\, Data Science and AI\, Department of Computer Science and Engineering\, Chalmers University of Technology \nOpponent: Dr. Branislav Kveton\, AWS AI Labs\, USA\n \nOriginal location: EC\, Hörsalsvägen 11\, Gothenburg
URL:https://wasp-sweden.org/event/phd-defense-combinatorial-semi-bandit-methods-for-navigation-of-electric-vehicles/
LOCATION:Gothenburg\, Gothenburg\, Göteborg\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20240308T130000
DTEND;TZID=+01:00:20240308T235900
DTSTAMP:20260602T053134
CREATED:20240215T103231Z
LAST-MODIFIED:20260601T083821Z
UID:10000196-1709902800-1709942340@wasp-sweden.org
SUMMARY:PhD Defense: State estimation with auto-calibrated sensor setup
DESCRIPTION:Welcome to the Doctoral Defense of Sandipan Das\n \nDate and time: March 8\, 13:00\n \nLocation: F3\, Lindstedtsvägen 26 & 28\, KTH\, Stockholm \nDoctoral student: Sandipan Das\, Division of Information Science and Engineering\, KTH Royal Institute of Technology \nTitle: State estimation with auto-calibrated sensor setup \nMain supervisor: Saikat Chatterjee\, Associate Professor\, Division of Information Science and Engineering\, KTH Royal Institute of Technology \nOpponent: Isaac Skog\, Senior Lecturer/Associate Professor\, Department of Electrical Engineering\, Uppsala University \nOriginal location: F3\, Lindstedtsvägen 26 & 28\, KTH\, Stockholm
URL:https://wasp-sweden.org/event/phd-defense-state-estimation-with-auto-calibrated-sensor-setup/
LOCATION:KTH Royal Institute of Technology\, KTH Royal Institute of Technology\, Stockholm\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20240301T131500
DTEND;TZID=+01:00:20240301T235900
DTSTAMP:20260602T053134
CREATED:20240207T144020Z
LAST-MODIFIED:20260601T083822Z
UID:10000198-1709298900-1709337540@wasp-sweden.org
SUMMARY:PhD Defense: Equivariant Neural Networks for Biomedical Image Analysis
DESCRIPTION:Welcome to the Doctoral Defense of Karl Bengtsson Bernander\n \nDate and time: March 1\, 13:15\n \nLocation: Ångströmlaboratoriet\, 101121\, Sonja Lyttkens\, Lägerhyddsvägen 1\, Uppsala \nDoctoral student: Karl Bengtsson Bernander\, Department of Information Technology\, Uppsala University \nTitle: Equivariant Neural Networks for Biomedical Image Analysis \nMain supervisor: Professor Ingela Nyström\, Department of Information Technology\, Uppsala University \nOpponent: Professor Michal Kozubek\, Masaryk University \n\nOriginal location: Ångströmlaboratoriet\, 101121\, Sonja Lyttkens\, Lägerhyddsvägen 1\, Uppsala
URL:https://wasp-sweden.org/event/phd-defense-equivariant-neural-networks-for-biomedical-image-analysis/
LOCATION:Ångströmlaboratoriet\, Lägerhyddsvägen 1\, Uppsala University\, Ångströmlaboratoriet\, Lägerhyddsvägen 1\, Uppsala University\, Uppsala\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20240223T091500
DTEND;TZID=+01:00:20240223T235900
DTSTAMP:20260602T053134
CREATED:20240209T115838Z
LAST-MODIFIED:20260601T083822Z
UID:10000197-1708679700-1708732740@wasp-sweden.org
SUMMARY:PhD Defense: Machine learning for anomaly detection in edge clouds
DESCRIPTION:Welcome to the Doctoral Defense of Javad Forough \nDate and time: February 23\, 09:15\n \nLocation: SAM.A.280\, Social Sciences Building\, Umeå University\, Umeå \nDoctoral student: Javad Forough\, Department of Computing Science\, Umeå University \nTitle: Machine learning for anomaly detection in edge clouds \nMain supervisor: Professor Erik Elmroth\, Department of Computing Science\, Umeå University \nOpponent: Professor Shahid Raza\, Division of Networked and Embedded Systems\, Mälardalen University\, Västerås \nOriginal location: SAM.A.280\, Social Sciences Building\, Umeå University
URL:https://wasp-sweden.org/event/phd-defense-machine-learning-for-anomaly-detection-in-edge-clouds/
LOCATION:Umeå University\, Umeå University\, Umeå\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20240202T131500
DTEND;TZID=+01:00:20240202T235900
DTSTAMP:20260602T053134
CREATED:20240116T081811Z
LAST-MODIFIED:20260601T083822Z
UID:10000199-1706879700-1706918340@wasp-sweden.org
SUMMARY:PhD Defense: Learning and Optimizing Camera Pose
DESCRIPTION:Welcome to the Doctoral Defense of Lucas Brynte\n \nDate and time: February 2\, 13:15\n \nLocation: EC\, EDIT\, Campus Johanneberg\, Chalmers University of Technology\, Gothenburg \nDoctoral student: Lucas Brynte\, Division of Signal Processing and Biomedical Engineering\, Department of Electrical Engineering\, Chalmers University of Technology \nTitle: Learning and Optimizing Camera Pose \nMain supervisor: Prof. Fredrik Kahl\, Division of Signal Processing and Biomedical Engineering\, Department of Electrical Engineering\, Chalmers University of Technology \nOpponent: Prof. Dr. Konrad Schindler\, Photogrammetry and Remote Sensing\, ETH Zürich\, Switzerland \nOriginal location: EC\, EDIT\, Campus Johanneberg\, Chalmers\, Gothenburg
URL:https://wasp-sweden.org/event/phd-defense-learning-and-optimizing-camera-pose/
LOCATION:Chalmers University of Technology\, Chalmers University of Technology\, Göteborg\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20240202T100000
DTEND;TZID=+01:00:20240202T235900
DTSTAMP:20260602T053134
CREATED:20240112T103124Z
LAST-MODIFIED:20260601T083823Z
UID:10000201-1706868000-1706918340@wasp-sweden.org
SUMMARY:PhD Defense: Learning with Skill-based Robot Systems: Combining Planning & Knowledge Representation with Reinforcement Learning
DESCRIPTION:Welcome to the Doctoral Defense of Matthias Mayr\n \nDate and time: February 2\, 10:00\n \nLocation: Lecture Hall E:1406\, building E\, Ole Römers väg 3\, Faculty of Engineering LTH\, Lund University\, Lund \nDoctoral student: Matthias Mayr\, Robotics and Semantic Systems\, Department of Computer Science\, Lund University \nTitle: Learning with Skill-based Robot Systems: Combining Planning & Knowledge Representation with Reinforcement Learning \nMain supervisor: Professor Volker Krueger\, Robotics and Semantic Systems\, Department of Computer Science\, Lund University \nOpponent: Professor Michael Beetz\, University of Bremen\, Germany \nOriginal location: Lecture Hall E:1406\, building E\, Ole Römers väg 3\, Lund University
URL:https://wasp-sweden.org/event/phd-defense-learning-with-skill-based-robot-systems-combining-planning-knowledge-representation-with-reinforcement-learning/
LOCATION:E:1406\, E-building\, Klas Anshelms väg 10\, Lund University\, E:1406\, E-building\, Klas Anshelms väg 10\, Lund University
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20240130T150000
DTEND;TZID=+01:00:20240130T235900
DTSTAMP:20260602T053134
CREATED:20240116T073746Z
LAST-MODIFIED:20260601T083823Z
UID:10000200-1706626800-1706659140@wasp-sweden.org
SUMMARY:PhD Defense: Synergies between Policy Learning and Sampling-based Planning
DESCRIPTION:Welcome to the Doctoral Defense of Robert Gieselmann\n \nDate and time: January 30\, 15:00\n \nLocation: F3 (Flodis)\, Lindstedtsvägen 26 & 28\, Stockholm\, and online (https://kth-se.zoom.us/j/63888939859) \nDoctoral student: Robert Gieselmann\, Division of Robotics\, Perception and Learning\, KTH Royal Institute of Technology \nTitle: Synergies between Policy Learning and Sampling-based Planning \nMain supervisor: Associate Professor Florian T. Pokorny\, Division of Robotics\, Perception and Learning\, KTH Royal Institute of Technology \nOpponent: Associate Professor Edward Johns\, Imperial College London\, London\, England \nOriginal location: F3 (Flodis)\, Lindstedtsvägen 26 & 28\, Stockholm & online
URL:https://wasp-sweden.org/event/phd-defense-synergies-between-policy-learning-and-sampling-based-planning/
LOCATION:Stockholm\, Stockholm\, Stockholm\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20231213T141500
DTEND;TZID=+01:00:20231213T235900
DTSTAMP:20260602T053134
CREATED:20231201T125842Z
LAST-MODIFIED:20260601T083824Z
UID:10000203-1702476900-1702511940@wasp-sweden.org
SUMMARY:PhD Defense: Journeys in vector space: Using deep neural network representations to aid automotive software engineering
DESCRIPTION:Welcome to the Doctoral Defense of Dhasarathy Parthasarathy \nDate and time: December 13\, 14:15\n \nLocation: Analysen\, EDIT\, Rännvägen 6B\, Gothenburg\, and online (see link) \nDoctoral student: Dhasarathy Parthasarathy\, Department of Computer Science and Engineering\, Chalmers University of Technology and University of Gothenburg \nTitle: Journeys in vector space: Using deep neural network representations to aid automotive software engineering \nMain supervisor: Professor Carl-Johan Seger\, Chalmers University of Technology \nOpponent: Professor Earl T. Barr\, University College London\, London\, United Kingdom \nOriginal location: Analysen\, EDIT\, Rännvägen 6B\, Gothenburg\, & online
URL:https://wasp-sweden.org/event/phd-defense-journeys-in-vector-space-using-deep-neural-network-representations-to-aid-automotive-software-engineering/
LOCATION:Gothenburg\, Gothenburg\, Göteborg\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20231208T131500
DTEND;TZID=+01:00:20231208T235900
DTSTAMP:20260602T053134
CREATED:20231128T074955Z
LAST-MODIFIED:20260601T083824Z
UID:10000204-1702041300-1702079940@wasp-sweden.org
SUMMARY:PhD Defense: Reinforcement Learning for Improved Utility of Simulation-Based Training
DESCRIPTION:Welcome to the Doctoral Defense of Johan Källström \nDate and time: December 8\, 13:15\n \nLocation: Ada Lovelace\, Building B\, Entrance 27\, Campus Valla\, Linköping University\, Linköping \nDoctoral student: Johan Källström\, Department of Computer and Information Science\, Linköping University\, and Saab Aeronautics \nTitle: Reinforcement Learning for Improved Utility of Simulation-Based Training \nMain supervisor: Professor Fredrik Heintz\, Department of Computer and Information Science\, Linköping University \nOpponent: Professor Julian Togelius\, Computer Science and Engineering\, New York University\, New York City\, United States \nOriginal location: Ada Lovelace\, Building B\, Entrance 27\, Campus Valla\, Linköping University
URL:https://wasp-sweden.org/event/phd-defense-reinforcement-learning-for-improved-utility-of-simulation-based-training/
LOCATION:Ada Lovelace\, B-building\, Campus Valla\, Linköping University\, Ada Lovelace\, B-building\, Campus Valla\, Linköping University\, Linköping\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20231208T091500
DTEND;TZID=+01:00:20231208T235900
DTSTAMP:20260602T053134
CREATED:20231127T102813Z
LAST-MODIFIED:20260601T083825Z
UID:10000205-1702026900-1702079940@wasp-sweden.org
SUMMARY:PhD Defense: Taming Cloud Integrated Systems in the Wild
DESCRIPTION:Welcome to the Doctoral Defense of Haorui Peng \nDate and time: December 8\, 09:15\n \nLocation: Lecture Hall E:1406\, building E\, Ole Römers väg 3\, Faculty of Engineering LTH\, Lund University\, Lund. \nDoctoral student: Haorui Peng\, Broadband Communication\, Department of Electrical and Information Technology\, Lund University \nTitle: Taming Cloud Integrated Systems in the Wild \nMain supervisor: Professor Maria Kihl\, Broadband Communication\, Department of Electrical and Information Technology\, Lund University \nOpponent: Michael Berger (Assoc. Prof.) \nOriginal location: Lecture Hall E:1406\, building E\, Ole Römers väg 3\, Lund University
URL:https://wasp-sweden.org/event/phd-defense-taming-cloud-integrated-systems-in-the-wild/
LOCATION:E:1406\, E-building\, Klas Anshelms väg 10\, Lund University\, E:1406\, E-building\, Klas Anshelms väg 10\, Lund University
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20231127T120000
DTEND;TZID=+01:00:20231129T235900
DTSTAMP:20260602T053134
CREATED:20231025T094317Z
LAST-MODIFIED:20260601T083826Z
UID:10000209-1701086400-1701302340@wasp-sweden.org
SUMMARY:WARA M&L DAYS IN ÅRE 2023
DESCRIPTION:WARA Media & Language invites you to join us for a few days of knowledge-sharing\, interactive workshops\, and team-building activities in Åre. \nSign up here. \nDeadline to sign up is 1st of November! \nAgenda\n(preliminary agenda could be adjusted) \n  \nMonday 27 \n06.00 Optional run/hike\n12.00 Lunch\n13.00 Recap of what we have achieved so far in the Arena – Johanna Björklund\, Umeå University\n14.00 The National Library – Love Börjesson\, KB Labs\n14.30 Coffee break\n15:00 Robotics from the perspective of foundation models – Danica Kragic Jensfeltd\, KTH\n16.00 Updates from the gaming arena – Konrad Tollmar\, Electronic Arts\n17.00 Check in to rooms \n18.00 Conference dinner \nTuesday 28 \n06.00 Optional run/hike\n09.00 Industrial applications – Diarmuid Corcoran and Alexander Kravberg\, Ericsson\n10.00 Coffee break\n10:30 LLMs at SEB- Anastasia Varava\, SEB\n11.00 Lunch\n12:00 Excursion Snowshoes Hiking\n15.00 Source Code Representations of Deep Learning for Program Repair – Zimin Chen\, KTH\n15.30 Phd presentation Interpretability and transparency of Transformers- Lena Strobl Umeå University\n15.40 Strategic workshop – Sandor Albrecht\, KAW \n18.00 Conference dinner \nWednesday 29 \n06.00 Optional run/hike\nCheck out of rooms\n09.00 PhD student presentations\n-Enhancing Robot Perception for Real-World Applications- Maciej Wozniak\, KTH\n-Transformers and regular languages- Willeke Martens\, Umeå University\n– MuRS: Mutant Ranking and Suppression using Identifier Templates -Zimin Chen\, KTH\n-Towards Building Reliable Neural Graph Database Systems- Sonia-Florina Horchidan\, KTH\n-Probabilistic speech and gesture synthesis- Shivam Mehta\, KTH\n-Arezoo Hatefi\n10.00 Boliden projects – Rasmus Tammia\, Boliden\n10.30 Coffee break\n11.00 Presentation of Parsd- Alexandra Kafka Larsson\, Parsd\n11.20 Great ideas below zero – György Kovács\, Luleå University\n11.40 Recap and going forward\n12.00 Lunch\nEnd of conference \n  \nHope to see you there! \n  \nBest Regards\, \nWARA M&L Team \n  \nINFORMATION ABOUT TRAVEL AND ACCOMODATION \n-WARA M&L will cover the conference cost. \n-However\, attendees are responsible for their own travel and accommodation expenses. \n  \nFor INDUSTRY: \n-Industry attendees are responsible for their own travel and accommodation expenses. \nFor WARA CORE\, ACADEMICS\, and INVITED SPEAKERS: \nAccommodation (Hotel): \n-We have reserved 30 single rooms and 10 double rooms for accommodation.\n-We encourage room sharing to accommodate more people. \nTravel: \nWASP Fellows: Please book your own travel arrangements and request reimbursement following the same process as your current funding requisition. \nCORE Members: If you have an account with your organization\, kindly use that for travel booking. Alternatively\, if you are affiliated with a WASP university\, refer to the “WASP Fellows” instructions above. \nNon-WASP Attendees: To arrange travel\, please contact our travel agency directly at se.travel@amexgbt.com (cc Johanna at johanna@cs.umu.se)\, and request them to make the booking for you. \nPlease let us know if you have any questions or need further assistance regarding your travel and accommodation arrangements.
URL:https://wasp-sweden.org/event/wara-ml-days-in-are-2023/
LOCATION:Copperhill Mountain Lodge Åre\, Copperhill Mountain Lodge Åre\, Åre\, Sweden
ATTACH;FMTTYPE=image/jpeg:https://wasp-sweden.org/wp-content/uploads/2023/10/are-168.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20231124T101500
DTEND;TZID=+01:00:20231124T235900
DTSTAMP:20260602T053134
CREATED:20231101T122657Z
LAST-MODIFIED:20260601T083826Z
UID:10000208-1700820900-1700870340@wasp-sweden.org
SUMMARY:PhD Defense: Learning to Control the Cloud
DESCRIPTION:Welcome to the Doctoral Defense of Albin Heimerson \nDate and time: November 24\, 10:15\n \nLocation: M:B\, M-building\, Ole Römers väg 1\, Lund University\, Lund\, and online (https://lu-se.zoom.us/j/61709012994) \nDoctoral student: Albin Heimerson\, Department of Automatic Control\, Lund University \nTitle: Learning to Control the Cloud \nMain supervisor: Johan Eker\, Professor\, Lund University\, and Principal Researcher\, Ericsson Research \nOpponent: lvona Brandic\, Professor\, Vienna University of Technology\, Austria \nOriginal location: M:B\, M-building\, Ole Römers väg 1\, Lund & online
URL:https://wasp-sweden.org/event/phd-defense-learning-to-control-the-cloud/
LOCATION:Lund University\, Lund University\, Lund\, Sweden
CATEGORIES:Defense
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BEGIN:VEVENT
DTSTART;TZID=+01:00:20231123T100000
DTEND;TZID=+01:00:20231123T235900
DTSTAMP:20260602T053134
CREATED:20231114T075207Z
LAST-MODIFIED:20260601T083825Z
UID:10000206-1700733600-1700783940@wasp-sweden.org
SUMMARY:PhD Defense: Learning from Interactions: Forward and Inverse Decision-Making for Autonomous Dynamical Systems
DESCRIPTION:Welcome to the Doctoral Defense of Inês de Miranda de Matos Lourenço \nDate and time: November 23\, 10:00\n \nLocation: Kollegiesalen\, Brinellvägen 8\, KTH\, Stockholm\, and online (https://kth-se.zoom.us/j/62028765716) \nDoctoral student: Inês de Miranda de Matos Lourenço\, Division of Decision and Control Systems\, KTH Royal Institute of Technology \nTitle: Learning from Interactions: Forward and Inverse Decision-Making for Autonomous Dynamical Systems \nMain supervisor: Professor Bo Wahlberg\, Division of Decision and Control Systems\, KTH Royal Institute of Technology \nOpponent: Professor Sandra Hirche\, Technical University of Munich\, Munich\, Germany \nOriginal location: Kollegiesalen\, Brinellvägen 8\, Stockholm\, & online
URL:https://wasp-sweden.org/event/phd-defense-learning-from-interactions-forward-and-inverse-decision-making-for-autonomous-dynamical-systems/
LOCATION:Kollegiesalen\, Brinellvägen 8\, Stockholm\, Kollegiesalen\, Brinellvägen 8\, Stockholm\, Stockholm\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20231120T140000
DTEND;TZID=+01:00:20231120T235900
DTSTAMP:20260602T053134
CREATED:20231114T071254Z
LAST-MODIFIED:20260601T083825Z
UID:10000207-1700488800-1700524740@wasp-sweden.org
SUMMARY:PhD Defense: Assumptions in Synthesis: An Approach to Multi-Agent Planning from Spatio-Temporal Specifications
DESCRIPTION:Welcome to the Doctoral Defense of Georg Friedrich Schuppe \nDate and time: November 20\, 14:00\n \nLocation: F3 (Flodis)\, Lindstedtsvägen 26\, KTH\, Stockholm \nDoctoral student: Georg Friedrich Schuppe\, Division of Robotics\, Perception and Learning\, KTH Royal Institute of Technology \nTitle: Assumptions in Synthesis: An Approach to Multi-Agent Planning from Spatio-Temporal Specifications \nMain supervisor: Jana Tumova\, Associate Professor\, Division of Robotics\, Perception and Learning\, KTH Royal Institute of Technology \nOriginal location: F3 (Flodis)\, Lindstedtsvägen 26\, Stockholm
URL:https://wasp-sweden.org/event/phd-defense-assumptions-in-synthesis-an-approach-to-multi-agent-planning-from-spatio-temporal-specifications/
LOCATION:Stockholm\, Stockholm\, Stockholm\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20231106T000000
DTEND;TZID=+01:00:20231107T235900
DTSTAMP:20260602T053134
CREATED:20230306T141126Z
LAST-MODIFIED:20260601T083837Z
UID:10000237-1699228800-1699401540@wasp-sweden.org
SUMMARY:WASP Industry Days 2023
DESCRIPTION:Building a sustainable future in a rapidly changing AI landscape\nWelcome to the annual conference WASP Industry Days. A meeting place for industry and academic researchers within the WASP program. \n\n\nWASP Industry Days 2023 takes its stance in the rapidly changing conditions for technology research and innovation. Join us to discuss and explore how to build successful collaborations between industry\, academia\, and societal actors.\n\nTo learn more and register\, please visit the conference website: https://industrydays.wasp-sweden.org/
URL:https://wasp-sweden.org/event/wasp-industry-days-2023/
LOCATION:Västerås\, Västerås\, Västerås\, Sweden
CATEGORIES:Conference
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20231103T091500
DTEND;TZID=+01:00:20231103T235900
DTSTAMP:20260602T053134
CREATED:20230505T122642Z
LAST-MODIFIED:20260601T083834Z
UID:10000230-1699002900-1699055940@wasp-sweden.org
SUMMARY:PhD Defense: Generalisation and reliability of deep learning for digital pathology in a clinical setting
DESCRIPTION:Welcome to the Doctoral Defense of Milda Pocevičiūtė \nDate and time: November 3\, 09:15\n \nLocation: Wrannesalen\, Center for Medical Image Science and Visualization\, Linköping University Hospital\, Linköping \nDoctoral student: Milda Pocevičiūtė\, Department of Science and Technology\, Linköping University \nTitle: Generalisation and reliability of deep learning for digital pathology in a clinical setting \nSupervisor: Claes Lundström\, Adjunct Professor\, Department of Science and Technology\, Linköping University \nOpponent: Professor Nasir Rajpoot\, Department of Computer Science\, University of Warwick\, UK
URL:https://wasp-sweden.org/event/phd-defense-generalisation-and-reliability-of-deep-learning-for-digital-pathology-in-a-clinical-setting/
LOCATION:Wrannesalen\, CMIV\, Linköping University Hospital\, Wrannesalen\, CMIV\, Linköping University Hospital\, Linköping\, Sweden
CATEGORIES:Defense
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BEGIN:VEVENT
DTSTART;TZID=+01:00:20231031T091500
DTEND;TZID=+01:00:20231031T235900
DTSTAMP:20260602T053134
CREATED:20230928T083803Z
LAST-MODIFIED:20260601T083829Z
UID:10000215-1698743700-1698796740@wasp-sweden.org
SUMMARY:PhD Defense: Robot Skill Acquisition through Prior-Conditioned Reinforcement Learning
DESCRIPTION:Welcome to the Doctoral Defense of Quantao Yang \nDate and time: October 31\, 09:15\n \nLocation: Hörsal F\, Forumhuset\, Campus Örebro\, Örebro University \nDoctoral student: Quantao Yang\, School of Science and Technology\, Örebro University \nTitle: Robot Skill Acquisition through Prior-Conditioned Reinforcement Learning \nSupervisor: Todor Stoyanov\, Senior Lecturer\, School of Science and Technology\, Örebro University \nOpponent: Professor Gerhard Neumann\, Karlsruhe Institute of Technology \nOriginal location: Hörsal F\, Forumhuset\, Campus Örebro
URL:https://wasp-sweden.org/event/phd-defense-robot-skill-acquisition-through-prior-conditioned-reinforcement-learning/
LOCATION:F\, Forumhuset\, Campus Örebro\, F\, Forumhuset\, Campus Örebro\, Örebro\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20231030T090000
DTEND;TZID=+01:00:20231030T235900
DTSTAMP:20260602T053134
CREATED:20231011T133318Z
LAST-MODIFIED:20260601T083827Z
UID:10000210-1698656400-1698710340@wasp-sweden.org
SUMMARY:PhD Defense: Bandit Methods for Network Optimization: Safety\, Exploration\, and Coordination
DESCRIPTION:Welcome to the Doctoral Defense of Filippo Vannella \nDate and time: October 30\, 09:00\n \nLocation:  Kollegiesalen\, Brinellvägen 8\, KTH Campus\, Stockholm \nDoctoral student: Filippo Vannella\, Divison of Decision and Control\, KTH Royal Institute of Technology\, and Ericsson AB \nTitle: Bandit Methods for Network Optimization: Safety\, Exploration\, and Coordination \nSupervisor: Alexandre Proutiere\, Professor\, Divison of Decision and Control\, KTH Royal Institute of Technology \nOpponent: Vincent Tan\, Associate Professor\, Department of Mechanical Engineering\, National University of Singapore\, Singapore
URL:https://wasp-sweden.org/event/phd-defense-bandit-methods-for-network-optimization-safety-exploration-and-coordination/
LOCATION:Kollegiesalen\, Brinellvägen 8\, Stockholm\, Kollegiesalen\, Brinellvägen 8\, Stockholm\, Stockholm\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20231027T130000
DTEND;TZID=+01:00:20231027T235900
DTSTAMP:20260602T053134
CREATED:20231011T131613Z
LAST-MODIFIED:20260601T083827Z
UID:10000211-1698411600-1698451140@wasp-sweden.org
SUMMARY:PhD Defense: Topics on Large Deviations in Artificial Intelligence
DESCRIPTION:Welcome to the Doctoral Defense of Adam Lindhe \nDate and time: October 27\, 13:00\n \nLocation:  F3 (Flodis)\, Lindstedtsvägen 26 & 28\, KTH Campus\, Stockholm \nDoctoral student: Adam Lindhe\, Mathematical Statistics\, KTH Royal Institute of Technology \nTitle: Topics on Large Deviations in Artificial Intelligence \nSupervisor: Professor Henrik Hult\, Mathematical Statistics. KTH Royal Institute of Technology \nOriginal location: F3 (Flodis)\, Lindstedtsvägen 26 & 28\, Stockholm
URL:https://wasp-sweden.org/event/phd-defense-topics-on-large-deviations-in-artificial-intelligence/
LOCATION:Stockholm\, Stockholm\, Stockholm\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20231026T100000
DTEND;TZID=+01:00:20231026T235900
DTSTAMP:20260602T053134
CREATED:20231011T125948Z
LAST-MODIFIED:20260601T083827Z
UID:10000212-1698314400-1698364740@wasp-sweden.org
SUMMARY:PhD Defense: Adaptive Lateral Model Predictive Control for Autonomous Driving of Heavy-Duty Vehicles
DESCRIPTION:Welcome to the Doctoral Defense of Goncalo Pedro Arrais Ivens Collares Pereira \nDate and time: October 26\, 10:00\n \nLocation: F3 (Flodis)\, Lindstedtsvägen 26 & 28\, KTH Campus\, Stockholm \nDoctoral student: Goncalo Pedro Arrais Ivens Collares Pereira\, Division of Decision and Control Systems\, KTH Royal Institute of Technology\, and Scania CV AB \nTitle: Adaptive Lateral Model Predictive Control for Autonomous Driving of Heavy-Duty Vehicles \nMain supervisors: Jonas Mårtensson\, Professor\, Division of Decision and Control Systems\, KTH Royal Institute of Technology\, and Henrik Pettersson\, Scania CV AB \nOpponent: Daniel Axehill\, Associate Professor\, Department of Electrical Engineering\, Automatic Control\, Linköping University \nOriginal location: F3 (Flodis)\, Lindstedtsvägen 26 & 28\, Stockholm
URL:https://wasp-sweden.org/event/phd-defense-adaptive-lateral-model-predictive-control-for-autonomous-driving-of-heavy-duty-vehicles/
LOCATION:Stockholm\, Stockholm\, Stockholm\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20231023T140000
DTEND;TZID=+01:00:20231023T235900
DTSTAMP:20260602T053134
CREATED:20231011T125140Z
LAST-MODIFIED:20260601T083828Z
UID:10000213-1698069600-1698105540@wasp-sweden.org
SUMMARY:PhD Defense: Reinforcement Learning and Optimal Adaptive Control for Structured Dynamical Systems
DESCRIPTION:Welcome to the Doctoral Defense of Damianos Tranos \nDate and time: October 23\, 14:00\n \nLocation:  Kollegiesalen\, Brinellvägen 8\, KTH Campus\, Stockholm \nDoctoral student: Damianos Tranos\, Divison of Decision and Control\, KTH Royal Institute of Technology \nTitle: Reinforcement Learning and Optimal Adaptive Control for Structured Dynamical Systems \nSupervisor: Alexandre Proutiere\, Professor\, Divison of Decision and Control\, KTH Royal Institute of Technology \nOpponent: Pontus Giselsson\, Associate Professor\, Lund University
URL:https://wasp-sweden.org/event/phd-defense-reinforcement-learning-and-optimal-adaptive-control-for-structured-dynamical-systems/
LOCATION:Kollegiesalen\, Brinellvägen 8\, Stockholm\, Kollegiesalen\, Brinellvägen 8\, Stockholm\, Stockholm\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20231020T100000
DTEND;TZID=+01:00:20231020T235900
DTSTAMP:20260602T053134
CREATED:20231002T110435Z
LAST-MODIFIED:20260601T083828Z
UID:10000214-1697796000-1697846340@wasp-sweden.org
SUMMARY:PhD Defense: Outlier Detection as a Safety Measure for Safety Critical Deep Learning
DESCRIPTION:Welcome to the Doctoral Defense of Jens Henriksson \nDate and time: October 20\, 10:00\n \nLocation:  Room Omega\, Jupiter building\, Chalmers Lindholmen\, Gothenburg \nDoctoral student: Jens Henriksson\, Semcon Sweden AB and the Division of Interaction Design and Software Engineering\, Chalmers University of Technology and University of Gothenburg \nTitle: Outlier Detection as a Safety Measure for Safety Critical Deep Learning \nSupervisor: Christian Berger\, Professor\, Interaction Design and Software Engineering\, Chalmers University of Technology and University of Gothenburg \nOpponent: Simon Burton\, Fraunhofer Institute for Cognitive Systems\, University of York \nOriginal location: Chalmers Lindholmen\, Jupiter building\, room Omega
URL:https://wasp-sweden.org/event/phd-defense-outlier-detection-as-a-safety-measure-for-safety-critical-deep-learning/
LOCATION:Chalmers University of Technology\, Chalmers University of Technology\, Göteborg\, Sweden
CATEGORIES:Defense
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END:VCALENDAR