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X-WR-CALDESC:Events for WASP
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BEGIN:VEVENT
DTSTART;TZID=+01:00:20250523T090000
DTEND;TZID=+01:00:20250523T235900
DTSTAMP:20260602T003135
CREATED:20250505T103659Z
LAST-MODIFIED:20260601T083745Z
UID:10000105-1747990800-1748044740@wasp-sweden.org
SUMMARY:PhD Defense: Probabilistic Metric Space for Machine Learning: Data and Model Spaces
DESCRIPTION:Welcome to the doctoral defense of Mariam Taha \nDate and time: May 23\, 09:00 \nLocation: NAT.D.360\, Umeå University \nDoctoral student: Mariam Taha\, Department of Computing Science\, Umeå University \nTitle:Probabilistic Metric Space for Machine Learning: Data and Model Spaces \nOriginal location: NAT.D.360\, Umeå University
URL:https://wasp-sweden.org/event/phd-defense-probabilistic-metric-space-for-machine-learning-data-and-model-spaces/
LOCATION:Umeå University\, Umeå University\, Umeå\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20250519T090000
DTEND;TZID=+01:00:20250519T235900
DTSTAMP:20260602T003135
CREATED:20250425T123327Z
LAST-MODIFIED:20260601T083747Z
UID:10000108-1747645200-1747699140@wasp-sweden.org
SUMMARY:PhD Defense: Fully Declarative Specification of Static Code Checkers
DESCRIPTION:Welcome to the doctoral defense of Alexandru Dura  \nDate and time: May 19th\, 09:00 \nLocation: Lecture Hall M:J\, building M\, Ole Römers väg 1F\, Faculty of Engineering LTH\, Lund University\, Lund \nDoctoral student: Alexandru Dura\, PhD student at Department of Computer Science\, Lund University \nTitle: Fully Declarative Specification of Static Code Checkers \nOriginal location: Lecture Hall M:J\, building M\, Ole Römers väg 1F\, Faculty of Engineering LTH\, Lund University\, Lund
URL:https://wasp-sweden.org/event/phd-defense-fully-declarative-specification-of-static-code-checkers/
LOCATION:Lund University\, Lund University\, Lund\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20250519T000000
DTEND;TZID=+01:00:20250523T235900
DTSTAMP:20260602T003135
CREATED:20250325T085201Z
LAST-MODIFIED:20260601T083750Z
UID:10000116-1747612800-1748044740@wasp-sweden.org
SUMMARY:WARA-PS Data Collection Week 2025
DESCRIPTION:Welcome to the WARA-PS Data Collection Week 2025! \nWeek 21 (19th-23rd of May) will offer the opportunity to join our Core Team and PhD’s in data collections and testing of new functionality. The work during week 21 will focus on preparations for the demonstration week later in September\, with integration\, tests and development on site. We invite researchers interested in using the resources available in the arena to join us\, to learn more about WARA-PS\, conduct data collections and meet the Core Team. \nThe WARA-PS data collection week will this year align with the UAS Forum 2025 in Västervik (May 20-21). More information about the UAS Forum can be found on the UAS Forum website that is linked below. \nPlease contact us if you are interested in learning more about the event! \nWe hope to see you there!
URL:https://wasp-sweden.org/event/wara-ps-data-collection-week-2025/
LOCATION:Gränsö Slott\, Västervik\, Gränsö Slott\, Västervik\, Västervik\, Sweden
CATEGORIES:Conference
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20250516T093000
DTEND;TZID=+01:00:20250516T235900
DTSTAMP:20260602T003135
CREATED:20250422T124647Z
LAST-MODIFIED:20260601T083749Z
UID:10000113-1747387800-1747439940@wasp-sweden.org
SUMMARY:PhD Defense: Handling Novel and Out-Of-Distribution Data in Deep Learning: OOD Detection and Shortcut Mitigation
DESCRIPTION:Welcome to the doctoral defense of Amirhossein Ahmadian \nDate and time: May 16th\, 9:30 \nLocation: Ada Lovelace\, Hus B\, ingång 27\, Campus Valla\, Linköping \nDoctoral student: Amirhossein Ahmadian\, Department of Computer and Information Science\, Linköping University \nTitle: Handling Novel and Out-Of-Distribution Data in Deep Learning: OOD Detection and Shortcut Mitigation \nOriginal location: Ada Lovelace\, Hus B\, ingång 27\, Campus Valla\, Linköping
URL:https://wasp-sweden.org/event/phd-defense-handling-novel-and-out-of-distribution-data-in-deep-learning-ood-detection-and-shortcut-mitigation/
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=+01:00:20250516T093000
DTEND;TZID=+01:00:20250516T235900
DTSTAMP:20260602T003135
CREATED:20250422T114518Z
LAST-MODIFIED:20260601T083749Z
UID:10000114-1747387800-1747439940@wasp-sweden.org
SUMMARY:PhD Defense: Geometric Numerical Methods: From Random Fields to Shape Matching
DESCRIPTION:Welcome to the doctoral defense of Erik Jansson \nDate and time: May 16th\, 9:30 \nLocation: Pascal\, Chalmers\, Gothenburg \nDoctoral student: Erik Jansson\, Doctoral Student\, Applied Mathematics and Statistics\, Mathematical Sciences\, Chalmers \nTitle: Geometric Numerical Methods: From Random Fields to Shape Matching \nOriginal location: Pascal\, Chalmers
URL:https://wasp-sweden.org/event/phd-defense-geometric-numerical-methods-from-random-fields-to-shape-matching/
LOCATION:Chalmers University of Technology\, Chalmers University of Technology\, Göteborg\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20250509T090000
DTEND;TZID=+01:00:20250509T235900
DTSTAMP:20260602T003135
CREATED:20250422T082743Z
LAST-MODIFIED:20260601T083749Z
UID:10000115-1746781200-1746835140@wasp-sweden.org
SUMMARY:PhD defense: Mind the Unknown  - Risk- and Occlusion-Aware Motion Planning for Autonomous Vehicles
DESCRIPTION:Welcome to the doctoral defense of Truls Nyberg \nDate and time: May 9th\, 9:00 \nLocation: Kollegiesalen\, Brinellvägen 8\, Stockholm \nDoctoral student: Truls Nyberg\, Industrial PhD\, Division of Robotics\, Perception and Learning\, KTH and Scania AB \nTitle: Mind the Unknown – Risk- and Occlusion-Aware Motion Planning for Autonomous Vehicles
URL:https://wasp-sweden.org/event/phd-defense-mind-the-unknown-risk-and-occlusion-aware-motion-planning-for-autonomous-vehicles/
LOCATION:Kollegiesalen\, Brinellvägen 8\, Stockholm\, Kollegiesalen\, Brinellvägen 8\, Stockholm\, Stockholm\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20250425T000000
DTEND;TZID=+01:00:20250425T235959
DTSTAMP:20260602T003135
CREATED:20250324T131640Z
LAST-MODIFIED:20260601T083750Z
UID:10000118-1745539200-1745625599@wasp-sweden.org
SUMMARY:PhD Defense: Complexity Certification Algorithms for Mixed-Integer Linear and Quadratic Programming
DESCRIPTION:Welcome to the doctoral defense of Shamisa Shoja  \nDate and time: April 25th\, 10:15 \nLocation: Ada Lovelace\, B-building\, Campus Valla\, Linköping University or via Zoom \nDoctoral student: Shamisa Shoja\, Automatic Control\, Linköping University \nTitle: Complexity Certification Algorithms for Mixed-Integer Linear and Quadratic Programming
URL:https://wasp-sweden.org/event/phd-defense-complexity-certification-algorithms-for-mixed-integer-linear-and-quadratic-programming/
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=+01:00:20250415T140000
DTEND;TZID=+01:00:20250415T235900
DTSTAMP:20260602T003135
CREATED:20250324T130302Z
LAST-MODIFIED:20260601T083751Z
UID:10000119-1744725600-1744761540@wasp-sweden.org
SUMMARY:PhD Defense: Data verification for GNSS systems and protection of GNSS services
DESCRIPTION:Welcome to the doctoral defense of Marco Spanghero \nDate and time: April 15th\, 14:00 \nLocation: Sal C\, Kistagången 16 and via Zoom \nDoctoral student: Marco Spanghero\, Division of software and computer systems\, KTH \nTitle: Data verification for GNSS systems and protection of GNSS services \nOriginal location: Sal C\, Kistagången 16 or via Zoom
URL:https://wasp-sweden.org/event/phd-defense-data-verification-for-gnss-systems-and-protection-of-gnss-services/
LOCATION:Stockholm\, Stockholm\, Stockholm\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20250404T140000
DTEND;TZID=+01:00:20250404T235900
DTSTAMP:20260602T003135
CREATED:20250313T123418Z
LAST-MODIFIED:20260601T083751Z
UID:10000121-1743775200-1743811140@wasp-sweden.org
SUMMARY:PhD Defense: Coordination for safe interactions of connected and automated vehicles on highways and intersections
DESCRIPTION:Welcome to the doctoral defense of Xiao Chen \nDate and time: April 4th\, 14:00 \nLocation: Kollegiesalen\, Brinellvägen 8\, Stockholm and via Zoom  \nDoctoral student: Xiao Chen\, Division of decision and control systems\, KTH \nTitle: Coordination for safe interactions of connected and automated vehicles on highways and intersections\n \nSupervisors: Professor Jonas Mårtensson\, Division of decision and control systems\, KTH and Doctor Zhiqi Tang\, Division of decision and control systems\, KTH \nOpponent: Professor Gabor Orosz\, Mechanical Engineering\, University of Michigan\, US
URL:https://wasp-sweden.org/event/phd-defense-coordination-for-safe-interactions-of-connected-and-automated-vehicles-on-highways-and-intersections/
LOCATION:Kollegiesalen\, Brinellvägen 8\, Stockholm\, Kollegiesalen\, Brinellvägen 8\, Stockholm\, Stockholm\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20250331T140000
DTEND;TZID=+01:00:20250331T235900
DTSTAMP:20260602T003135
CREATED:20250306T142536Z
LAST-MODIFIED:20260601T083752Z
UID:10000123-1743429600-1743465540@wasp-sweden.org
SUMMARY:PhD defense: Towards Reliable Deep Foundation Models in OOD detection\, model calibration\, and hallucination mitigation
DESCRIPTION:Welcome to the doctoral defense of Xixi Liu \nDate and time: March 31st\, 14:00 \nLocation: Lecture Hall SB-H4\, Sven Hultins Gata 6\, Gothenburg \nDoctoral student: Xixi Liu\, Doctoral Student\, Signal Processing and Biomedical Engineering\, Electrical Engineering\, Chalmers \nTitle: Towards Reliable Deep Foundation Models in OOD detection\, model calibration\, and hallucination mitigation\n \nMain supervisor: Professor Christopher Zach\, Signal Processing and Biomedical Engineering\, Electrical Engineering\, Chalmers \nOpponent: Professor\, Fredrik Lindsten\, Linköping University \nOriginal location: Lecture Hall SB-H4\, Sven Hultins Gata 6\, Gothenburg
URL:https://wasp-sweden.org/event/phd-defense-towards-reliable-deep-foundation-models-in-ood-detection-model-calibration-and-hallucination-mitigation/
LOCATION:Gothenburg\, Gothenburg\, Göteborg\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20250328T130000
DTEND;TZID=+01:00:20250328T235900
DTSTAMP:20260602T003135
CREATED:20250318T094045Z
LAST-MODIFIED:20260601T083751Z
UID:10000120-1743166800-1743206340@wasp-sweden.org
SUMMARY:AI and Archives Workshop 2
DESCRIPTION:We’re delighted to invite you to the second workshop in our series on AI and Archives\, a collaborative initiative between WARA Media & Language\, WASP-HS and the National Archives (Riksarkivet). \nThe National Archives’ recently established AI-lab has developed valuable resources\, including models and training data for transcribing Swedish historical handwriting and other machine learning applications. These tools offer significant benefits to both AI researchers focusing on model development and humanities/social sciences scholars employing digital methods. \nWorkshop Details\nDate: March 28\nTime: 13:00-15:00\nFormat: Online interactive session via Miro\nNote: If you’re unfamiliar with Miro\, please join 15 minutes early to familiarize yourself with the platform for optimal participation. \nSign up here: https://eu.invajo.com/l/cgqBScBTEy \nThis second workshop will review findings from our initial session and identify collaborative projects for development. If you did not participate in the first workshop\, you are welcome to join anyway. \nWe look forward to exploring the intersection of AI and archives with you! \n\nOriginal location: Online in ZOOM and Miro
URL:https://wasp-sweden.org/event/ai-and-archives-workshop-2/
LOCATION:Online\, Online\, Other
ATTACH;FMTTYPE=image/jpeg:https://wasp-sweden.org/wp-content/uploads/2025/03/14.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20250328T100000
DTEND;TZID=+01:00:20250328T235900
DTSTAMP:20260602T003135
CREATED:20250313T121930Z
LAST-MODIFIED:20260601T083752Z
UID:10000122-1743156000-1743206340@wasp-sweden.org
SUMMARY:PhD defense: Adaptive Measurement Strategies for Network Optimization and Control
DESCRIPTION:Welcome to the doctoral defense of Simon Lindståhl \nDate and time: March 28\, 10:00 \nLocation: D3\, Lindstedtsvägen 5\, Stockholm \nDoctoral student: Simon Lindståhl\, Industrial PhD student at the Division of Decision and Control Systems\, KTH and at Ericsson Research\, Statistical Learning and Control \nTitle: Adaptive Measurement Strategies for Network Optimization and Control\n \nSupervisors: Professor Alexandre Proutiere\, Reglerteknik; Mikael Johansson\, Reglerteknik; Andreas Johnsson\, Ericsson Research\, Uppsala University \nOpponent: Research Leader Odalric Maillard\, INRIA \nOriginal location: D3\, Lindstedtsvägen 5\, Stockholm
URL:https://wasp-sweden.org/event/phd-defense-adaptive-measurement-strategies-for-network-optimization-and-control/
LOCATION:Stockholm\, Stockholm\, Stockholm\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20250327T090000
DTEND;TZID=+01:00:20250327T235900
DTSTAMP:20260602T003135
CREATED:20250324T134020Z
LAST-MODIFIED:20260601T083750Z
UID:10000117-1743066000-1743119940@wasp-sweden.org
SUMMARY:PhD Defense: Human-Centric Control Design for Safe & Connected Vehicles
DESCRIPTION:Welcome to the doctoral defense of Frank J. Jiang  \nDate and time: March 27th\, 9:00 \nLocation: Kollegiesalen\, Brinellvägen 8\, Stockholm \nDoctoral student: Frank J. Jiang\, Division of decision and control systems\, KTH \nTitle: Human-Centric Control Design for Safe & Connected Vehicles
URL:https://wasp-sweden.org/event/phd-defense-human-centric-control-design-for-safe-connected-vehicles/
LOCATION:Kollegiesalen\, Brinellvägen 8\, Stockholm\, Kollegiesalen\, Brinellvägen 8\, Stockholm\, Stockholm\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20250326T173000
DTEND;TZID=+01:00:20250326T235900
DTSTAMP:20260602T003135
CREATED:20250304T160648Z
LAST-MODIFIED:20260601T083752Z
UID:10000124-1743010200-1743033540@wasp-sweden.org
SUMMARY:From Data to Creation: The Copyright Challenges of Generative AI
DESCRIPTION:Event: From Data to Creation: The Copyright Challenges of Generative AI \nGenerative AI processes vast amounts of data to create new content\, but who owns the input—and the output? This event will break down the key copyright challenges that arise in AI training and generation\, addressing critical questions around ownership\, fair use\, and legal responsibility. \nJoin us for an insightful evening where we’ll explore how copyright law intersects with AI development and what it means for future research\, innovation\, and practical applications. Whether you’re an industry professional\, researcher\, or enthusiast\, this event will provide you with essential knowledge on navigating the complexities of copyright in the age of generative AI. \nSign up here!  \nAgenda:\n17:30 – Welcome and mingle\n18:00 – Presentations start\n19:00 – Q&A\n19:30 – Afterwork with light food and drinks \nWARA Media & Language\, together with AWA Stockholm\, invites you to join us for this discussion on the future of generative AI and copyright. \nWe look forward to seeing you there! \nOriginal location: AWA Stockholms office\, Jakobsbergsgatan 36\, 111 44 Stockholm
URL:https://wasp-sweden.org/event/from-data-to-creation-the-copyright-challenges-of-generative-ai/
LOCATION:Stockholm\, Stockholm\, Stockholm\, Sweden
ATTACH;FMTTYPE=image/png:https://wasp-sweden.org/wp-content/uploads/2025/03/Copy-of-Copy-of-E-posthuvuden-mallar-LONSAM-ONLINEKURS-2048-x-1152-px.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20250324T091500
DTEND;TZID=+01:00:20250324T235900
DTSTAMP:20260602T003135
CREATED:20250226T093404Z
LAST-MODIFIED:20260601T083753Z
UID:10000126-1742807700-1742860740@wasp-sweden.org
SUMMARY:PhD Defense: Learning and Exploiting Subgoal Structures in Classical Planning
DESCRIPTION:Welcome to the doctoral defense of Dominik Drexler \nDate and time: March 24th\, 9:15 \nLocation: Room 2C:471 Ada Lovelace\, building B\, campus Valla\, Linköping University \nDoctoral student: Dominik Drexler\, Machine Reasoning\, Department of Computer and Information Science\, Linköping University \nTitle: Learning and Exploiting Subgoal Structures in Classical Planning\n \nSupervisor: Professor Hector Geffner\, Machine Learning and Reasoning\, Computer Science Department\, RWTH Aachen University\, Aachen\, Germany \nOpponent: Professor Scott Sanner\, University of Toronto\, Toronto\, Canada \nOriginal location: Room 2C:471 Ada Lovelace\, building B\, campus Valla\, Linköping University
URL:https://wasp-sweden.org/event/phd-defense-learning-and-exploiting-subgoal-structures-in-classical-planning/
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=+01:00:20250321T101500
DTEND;TZID=+01:00:20250321T235900
DTSTAMP:20260602T003135
CREATED:20250227T124849Z
LAST-MODIFIED:20260601T083753Z
UID:10000125-1742552100-1742601540@wasp-sweden.org
SUMMARY:PhD Defense: On Performance Guarantees for Systems with Conic Constraints
DESCRIPTION:Welcome to the doctoral defense of Emil Vladu \nDate and time: March 21th\, 10:15 \nLocation: Lecture Hall M:B\, building M\, Ole Römers väg 1\, Faculty of Engineering LTH\, Lund University\, Lund. The dissertation will be live streamed\, but part of the premises is to be excluded from the live stream. \nDoctoral student: Emil Vladu\, Department of Automatic Control \nTitle: On Performance Guarantees for Systems with Conic Constraints\n \nMain supervisor: Professor Anders Rantzer\, Department of Automatic Control\, Lund University \nOpponent: Professor Bassam Bamieh \nOriginal location: Lecture Hall M:B\, building M\, Ole Römers väg 1\, Faculty of Engineering LTH\, Lund University\, Lund and live streamed
URL:https://wasp-sweden.org/event/phd-defense-on-performance-guarantees-for-systems-with-conic-constraints/
LOCATION:Lund University\, Lund University\, Lund\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20250317T131500
DTEND;TZID=+01:00:20250317T235900
DTSTAMP:20260602T003135
CREATED:20250218T120452Z
LAST-MODIFIED:20260601T083754Z
UID:10000128-1742217300-1742255940@wasp-sweden.org
SUMMARY:PhD Defense: Bayesian Optimization Across the Spectrum of Knowledge: Enhancing Efficiency through Beliefs\, Information and Assumptions
DESCRIPTION:Welcome to the doctoral defense of Carl Hvarfner.  \nDate and time: March 17\, 13:15 \nLocation: M:D\, M-building\, Ole Römers väg 1F\, Lund\, Sweden or via Zoom \nDoctoral student: Carl Hvarfner\, Department of Computer Science\, Lund University \nTitle:Bayesian Optimization Across the Spectrum of Knowledge: Enhancing Efficiency through Beliefs\, Information and Assumptions\n \nSupervisors: Professor Jacek Malec\, Lund University and Associate Professor Luigi Nardi\, Lund University \nOpponent: Associate Professor Luigi Acerbi\, University of Helsinki\, Finland \nOriginal location: M:D\, M-building\, Ole Römers väg 1F\, Lund\, Sweden
URL:https://wasp-sweden.org/event/phd-defense-bayesian-optimization-across-the-spectrum-of-knowledge-enhancing-efficiency-through-beliefs-information-and-assumptions/
LOCATION:Lund University\, Lund University\, Lund\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20250313T140000
DTEND;TZID=+01:00:20250313T235900
DTSTAMP:20260602T003135
CREATED:20250218T091430Z
LAST-MODIFIED:20260601T083755Z
UID:10000130-1741874400-1741910340@wasp-sweden.org
SUMMARY:PhD Defense: Local Learning Rules for Deep Neural Networks with Two-State Neurons
DESCRIPTION:Welcome to the doctoral defense of Rasmus Kjær Høier \nDate and time: March 13\, 14:00 \nLocation: EDIT-EA Lecture Hall\, Chalmers \nDoctoral student: Rasmus Kjær Høier\, Chalmers\, Electrical Engineering\, Signal Processing and Biomedical Engineering \nTitle: Local Learning Rules for Deep Neural Networks with Two-State Neurons\n \nMain supervisor: Christopher Zach\, Research Professor\, Signal Processing and Biomedical Engineering\, Electrical Engineering \nOpponent: Pawel Herman\, Associate professor\, KTH \nOriginal location: EDIT-EA Lecture Hall\, Chalmers
URL:https://wasp-sweden.org/event/phd-defense-local-learning-rules-for-deep-neural-networks-with-two-state-neurons/
LOCATION:Chalmers University of Technology\, Chalmers University of Technology\, Göteborg\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20250312T131500
DTEND;TZID=+01:00:20250312T235900
DTSTAMP:20260602T003135
CREATED:20250218T122023Z
LAST-MODIFIED:20260601T083754Z
UID:10000127-1741785300-1741823940@wasp-sweden.org
SUMMARY:PhD Defense: Efficient Strategies for Safety Assurance of Automated Driving Systems
DESCRIPTION:Welcome to the doctoral defense of Magnus Gyllenhammar \nDate and time: March 12th\, 13:15 \nLocation: F3 (Flodis)\, Lindstedtsvägen 26 & 28\, Stockholm \nDoctoral student: Magnus Gyllenhammar\, Unit of Mechatronics\, KTH and Zenseact \nTitle: Efficient Strategies for Safety Assurance of Automated Driving Systems\n \nSupervisors: Martin Törngren\, Professor\, Unit of Mechatronics and Jonas Fredriksson\, Professor of Mechatronics in the division of Systems- and Control\, Chalmers and Gabriel Campos\, Zenseact \nOpponent: Professor Phil Koopman\, Carnegie Mellon University \nOriginal location: F3 (Flodis)\, Lindstedtsvägen 26 & 28\, Stockholm
URL:https://wasp-sweden.org/event/phd-defense-efficient-strategies-for-safety-assurance-of-automated-driving-systems/
LOCATION:Stockholm\, Stockholm\, Stockholm\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20250307T091500
DTEND;TZID=+01:00:20250307T235900
DTSTAMP:20260602T003135
CREATED:20250218T083916Z
LAST-MODIFIED:20260601T083755Z
UID:10000131-1741338900-1741391940@wasp-sweden.org
SUMMARY:PhD Defense: On the Trustworthiness of Trusted Third Parties
DESCRIPTION:Welcome to the doctoral defense of Joakim Brorsson \nDate and time: March 7\, 9:15 \nLocation: Lecture Hall E:1406\, building E\, Klas Anshelms väg 10\, Faculty of Engineering LTH\, Lund University\, Lund. \nDoctoral student: Joakim Brorsson\, Lund University \nTitle: On the Trustworthiness of Trusted Third Parties \nMain supervisor: Paul Stankovski Wagner\, Associate Professor\, Lund University \nOpponent: Musard Balliu\, Associate professor\, KTH \nOriginal location: Lecture Hall E:1406\, building E\, Klas Anshelms väg 10\, Faculty of Engineering LTH\, Lund University\, Lund.
URL:https://wasp-sweden.org/event/phd-defense-on-the-trustworthiness-of-trusted-third-parties/
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=+01:00:20250304T173000
DTEND;TZID=+01:00:20250304T235900
DTSTAMP:20260602T003135
CREATED:20250211T110852Z
LAST-MODIFIED:20260601T083756Z
UID:10000133-1741109400-1741132740@wasp-sweden.org
SUMMARY:Seminar: Doctoral Education: A key to Swedish Entrepreneurship and Industrial Innovation
DESCRIPTION:The Royal Academy of Engineering (IVA) is inviting you to a seminar and webinar on the theme: Doctoral Education: A key to Swedish Entrepreneurship and Industrial Innovation\, or in Swedish: Forskarutbildning: En nyckel till svenskt nyföretagande och industriell innovation. \nPanelists: \n\nAlf Isaksson\, Research Fellow\, ABB IVA-ledamot\nLinnea Kuritzén\, WASP Alum\, Researcher\, Airforestry\nPer Skarin\, Senior Research Scientist\, Saab\nCaroline Svahn\, Data Scientist\, Trygg-Hansa\nLars Svensson\, WASP Alum\, Founder and CEO\, Nordic Forestry Automation\nBo Wahlberg\, WASP Professor\, KTH\, IVA board member\nKarl-Erik Årzén\, WASP Professor\, Lund University\, IVA board member\n\nOriginal location: IVA Konferenscenter\, Grev Turegatan 16\, Stockholm
URL:https://wasp-sweden.org/event/seminar-doctoral-education-a-key-to-swedish-entrepreneurship-and-industrial-innovation/
LOCATION:Stockholm\, Stockholm\, Stockholm\, Sweden
CATEGORIES:Seminar,Webinar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20250228T131500
DTEND;TZID=+01:00:20250228T235900
DTSTAMP:20260602T003135
CREATED:20250130T154847Z
LAST-MODIFIED:20260601T083756Z
UID:10000135-1740748500-1740787140@wasp-sweden.org
SUMMARY:PhD Defense: Towards Zero Bottlenecks for Scaling Autonomous Driving
DESCRIPTION:Welcome to the doctoral defense of Adam Tonderski \nDate and time: February 28\, 13:15 \nLocation: Lecture Hall MH:Hörmander\, Centre for Mathematical Sciences\, Sölvegatan 18\, Faculty of Engineering LTH\, Lund University \nDoctoral student: Adam Tonderski\, Computer Vision and Machine Learning\, Centre for Mathematical Sciences\, Lund University & Zenseact \nTitle: Towards Zero Bottlenecks for Scaling Autonomous Driving \nSupervisors: Kalle Åström\, Professor\, Computer Vision and Machine Learning\, Centre for Mathematical Sciences\, Lund University and Christoffer Petersson\, Zenseact \nOpponent: Felix Heide\, Professor\, Princeton University \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-towards-zero-bottlenecks-for-scaling-autonomous-driving/
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=+01:00:20250228T130000
DTEND;TZID=+01:00:20250228T235900
DTSTAMP:20260602T003135
CREATED:20250121T110656Z
LAST-MODIFIED:20260601T083758Z
UID:10000139-1740747600-1740787140@wasp-sweden.org
SUMMARY:AI and Archives: A Collaborative Workshop with WARA Media & Language\, WASP-HS and the National Archives (Riksarkivet)
DESCRIPTION:The National Archives hold a vast collection of historical materials\, including\, inter alia\, all known Swedish medieval letters\, administrative national/royal administrative documents from the 16th century and onwards\, court records from the 17th century onwards\, diplomatic correspondence from the 17th century onwards\, and a large collection of historical maps\, both general and detailed. These archival records are available online via an archival search service\, via APIs\, and with select datasets of extracted information from archives available for download. \nA recently founded AI-lab at the National Archives has developed and made available models and training data for transcription of Swedish historical handwriting and other machine learning and language models. These resources are valuable for researchers in AI and machine learning focusing on training and evaluating models\, as well as for researchers in humanities and social sciences employing digital methods in their work. \nTo foster collaboration and exploration of these resources\, the National Archives\, WARA M&L\, and WASP-HS the Wallenberg Autonomous System Programme in Humanity and Society\, are organizing a series of joint workshops. The first of these will take place on Friday\, February 28\, from 1:00 to 3:00 PM\, and is primarily directed toward researchers in the humanities and social sciences. \nThe objectives of the workshop are twofold: to provide participants with an understanding of the existing archives and resources and to explore how these assets can be leveraged to support current and future research initiatives. \nWe are very much looking forward to exploring AI and archives with you. \nPlease sign up here: https://eu.invajo.com/l/LRhzc56CWD
URL:https://wasp-sweden.org/event/ai-and-archives-a-collaborative-workshop-with-wara-media-language-wasp-hs-and-the-national-archives-riksarkivet/
LOCATION:Online\, Online\, Other
ATTACH;FMTTYPE=image/jpeg:https://wasp-sweden.org/wp-content/uploads/2025/01/06-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20250225T130000
DTEND;TZID=+01:00:20250225T235900
DTSTAMP:20260602T003135
CREATED:20250218T093527Z
LAST-MODIFIED:20260601T083754Z
UID:10000129-1740488400-1740527940@wasp-sweden.org
SUMMARY:Webinar - KAW Proof of Concept Grants in AI or Quantum technologies
DESCRIPTION:Welcome to an information webinar about the KAW Proof of Concept Grants in AI or Quantum technologies\n\nThe purpose of this year’s Knut and Alice Wallenberg Proof of Concept Grant is to bridge the gap between academic research and innovations in Autonomous Systems and AI\, or in Quantum Technologies. The grant gives researchers the opportunity to develop their early-stage discoveries towards validated methods\, products\, or processes. \nWelcome to an information webinar and an opportunity to ask questions about this call. The webinar is held via Zoom on February 25 at 13:00-14:00 (CET). \nSpeakers:\nSandor Albrecht\, Director Innovation\, Knut and Alice Wallenberg foundation\nAnders Ynnerman\, Chair of the WASP Board\, and Director of Strategic Research\, Knut and Alice Wallenberg foundation \nRegistration is closed.
URL:https://wasp-sweden.org/event/webinar-kaw-proof-of-concept-grants-in-ai-or-quantum-technologies/
LOCATION:Online\, Online\, Other
CATEGORIES:Webinar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20250213T130000
DTEND;TZID=+01:00:20250213T235900
DTSTAMP:20260602T003135
CREATED:20250123T090037Z
LAST-MODIFIED:20260601T083758Z
UID:10000138-1739451600-1739491140@wasp-sweden.org
SUMMARY:PhD Defense: Addressing Shortcomings of Explainable Machine Learning Methods
DESCRIPTION:Welcome to the doctoral defense of Amr Alkhatib \nDate and time: February 13\, 13:00 \nLocation: Ka-Sal B (Peter Weisglass)\, Kistagången 16\, Electrum\, Kista and online (https://kth-se.zoom.us/j/66054420196) \nDoctoral student: Amr Alkhatib\, Division of Software and Computer Systems\, KTH Royal Institute of Technology \nTitle: Addressing Shortcomings of Explainable Machine Learning Methods \nSupervisors: Professor Henrik Boström and Professor Michail Vazirgiannis\, Division of Software and Computer Systems\, KTH Royal Institute of Technology \nOpponent: Professor Kary Främling\, Department of Computing Science\, Umeå University \nOriginal location: Ka-Sal B (Peter Weisglass)\, Kistagången 16\, Electrum\, Kista & online
URL:https://wasp-sweden.org/event/phd-defense-addressing-shortcomings-of-explainable-machine-learning-methods/
LOCATION:Stockholm\, Stockholm\, Stockholm\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20250213T120000
DTEND;TZID=Europe/Paris:20250214T120000
DTSTAMP:20260602T003135
CREATED:20260601T134549Z
LAST-MODIFIED:20260601T134754Z
UID:10000348-1739448000-1739534400@wasp-sweden.org
SUMMARY:Workshop on Data-Driven Research and Operations
DESCRIPTION:WARA-Ops are delighted to announce that we are running a second in-person workshop on data-driven operations and research\, to be held on 13-14 February 2025. The workshop will take place at ESS in Lund – home to the European Spallation Source particle accelerator! There will be a mix of networking and talks\, combined with a two hour tour of the facility! \n\n\n\nRead more and register
URL:https://wasp-sweden.org/event/workshop-on-data-driven-research-and-operations/
LOCATION:ESS\, Partikelgatan 2\, Lund\, 224 84\, Sweden
CATEGORIES:Workshop
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20250212T090000
DTEND;TZID=+01:00:20250212T235900
DTSTAMP:20260602T003135
CREATED:20250123T092349Z
LAST-MODIFIED:20260601T083757Z
UID:10000137-1739350800-1739404740@wasp-sweden.org
SUMMARY:PhD Defense: Personalized Models and Optimization in Federated Learning
DESCRIPTION:Welcome to the doctoral defense of Ali Dadras \nDate and time: February 12\, 09:00 \nLocation: Hörsal UB.A.220\, Umeå University\, Umeå \nDoctoral student: Ali Dadras\, Department of Mathematics and Mathematical Statistics\, Umeå University \nTitle: Personalized Models and Optimization in Federated Learning \nMain supervisor: Professor Jun Yu\, Department of Mathematics and Mathematical Statistics\, Umeå University \nOriginal location: Hörsal UB.A.220\, Umeå University\, Umeå
URL:https://wasp-sweden.org/event/phd-defense-personalized-models-and-optimization-in-federated-learning/
LOCATION:Umeå University\, Umeå University\, Umeå\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20250207T131500
DTEND;TZID=+01:00:20250207T235900
DTSTAMP:20260602T003135
CREATED:20250110T145133Z
LAST-MODIFIED:20260601T083758Z
UID:10000140-1738934100-1738972740@wasp-sweden.org
SUMMARY:PhD Defense: Machine Learning for Perception and Localization: Efficient and Invariant Methods
DESCRIPTION:Welcome to the doctoral defense of Axel Berg \nDate and time: February 7\, 13:15 \nLocation: Lecture Hall MH:Hörmander\, Centre of Mathematical Sciences\, Märkesbacken 4\, Faculty of Engineering LTH\, Lund University\, Lund. Zoom: https://lu-se.zoom.us/j/66823653847 \nDoctoral student: Axel Berg\, Computer Vision and Machine Learning\, Centre for Mathematical Sciences\, Lund University\, and Arm \nTitle: Machine Learning for Perception and Localization: Efficient and Invariant Methods \nSupervisors: Associate Professor Magnus Oskarsson and Professor Kalle Åström\, Lund University\, and Dr. Chuteng Zhou\, Arm \nOpponent: Professor Jesper Rindom Jensen\, Aalborg University \nOriginal location: Lecture Hall MH:Hörmander\, Lund University\, & online
URL:https://wasp-sweden.org/event/phd-defense-machine-learning-for-perception-and-localization-efficient-and-invariant-methods/
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=+01:00:20250131T130000
DTEND;TZID=+01:00:20250131T235900
DTSTAMP:20260602T003135
CREATED:20250110T143135Z
LAST-MODIFIED:20260601T083759Z
UID:10000141-1738328400-1738367940@wasp-sweden.org
SUMMARY:PhD Defense: Convergence and Stability Analysis of Stochastic Optimization Algorithms
DESCRIPTION:Welcome to the doctoral defense of Måns Williamson \nDate and time: January 31\, 13:00 \nLocation: Lecture Hall Hörmander\, Centre for Mathematical Sciences\, Sölvegatan 18\, Faculty of Engineering LTH\, Lund University\, Lund \nDoctoral student: Måns Williamson\, Applied Mathematics\, Centre for Mathematical Sciences\, Lund University \nTitle: Convergence and Stability Analysis of Stochastic Optimization Algorithms \nMain supervisor: Associate Professor Tony Stillfjord\, Applied Mathematics\, Centre for Mathematical Sciences\, Lund University \nOpponent: Professor Konstantinos C. Zygalakis\, University of Edinburgh\, United Kingdom \nOriginal location: Lecture Hall Hörmander\, Centre for Mathematical Sciences\, Sölvegatan 18\, Faculty of Engineering LTH\, Lund University
URL:https://wasp-sweden.org/event/phd-defense-convergence-and-stability-analysis-of-stochastic-optimization-algorithms/
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=+01:00:20250131T091500
DTEND;TZID=+01:00:20250131T235900
DTSTAMP:20260602T003135
CREATED:20241218T141827Z
LAST-MODIFIED:20260601T083759Z
UID:10000143-1738314900-1738367940@wasp-sweden.org
SUMMARY:PhD Defense: Radio Channel Characterization for Distributed MIMO
DESCRIPTION:Welcome to the doctoral defense of Christian Nelson \nDate and time: January 31\, 09:15 \nLocation: Lecture Hall E:1406\, building E\, Klas Anshelms väg 10\, Faculty of Engineering LTH\, Lund University\, Lund \nDoctoral student: Christian Nelson\, Communications Engineering\, Department of Electrical and Information Technology\, Lund University \nTitle: Radio Channel Characterization for Distributed MIMO \nMain supervisor: Professor Fredrik Tufvesson\, Communications Engineering\, Department of Electrical and Information Technology\, Lund University \nOpponent: Professor Giovanni Del Galdo\, Illmenau University of Technology\, Germany \nOriginal location: Lecture Hall E:1406\, building E\, Klas Anshelms väg 10\, Faculty of Engineering LTH\, Lund University\, Lund
URL:https://wasp-sweden.org/event/phd-defense-radio-channel-characterization-for-distributed-mimo/
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
END:VCALENDAR