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BEGIN:VEVENT
DTSTART;TZID=+01:00:20250327T090000
DTEND;TZID=+01:00:20250327T235900
DTSTAMP:20260602T011804
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:20260602T011804
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:20260602T011804
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:20260602T011804
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:20260602T011804
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:20260602T011804
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:20260602T011804
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:20260602T011804
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:20260602T011804
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:20260602T011804
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:20260602T011804
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:20260602T011804
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:20260602T011804
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:20260602T011804
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:20260602T011804
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:20260602T011804
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:20260602T011804
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:20260602T011804
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
BEGIN:VEVENT
DTSTART;TZID=+01:00:20250110T130000
DTEND;TZID=+01:00:20250110T235900
DTSTAMP:20260602T011804
CREATED:20241206T115200Z
LAST-MODIFIED:20260601T083800Z
UID:10000145-1736514000-1736553540@wasp-sweden.org
SUMMARY:PhD Defense: Methods for brain MRI image synthesis and analysis
DESCRIPTION:Welcome to the doctoral defense of Jingru Fu \nDate and time: January 10\, 13:00 \nLocation: T1 (Emmy Rappesalen)\, Hälsovägen 11C\, Huddinge\, and online (https://kth-se.zoom.us/j/68696837704) \nDoctoral student: Jingru Fu\, Division of Biomedical Imaging\, KTH Royal Institute of Technology \nTitle: Methods for brain MRI image synthesis and analysis \nMain supervisor: Professor Rodrigo Moreno\, Division of Biomedical Imaging\, KTH Royal Institute of Technology \nOpponent: Associate Professor Juan Eugenio Iglesias\, Massachusetts General Hospital & Harvard Medical School \nOriginal location:  T1 (Emmy Rappesalen)\, Hälsovägen 11C\, Huddinge\, & online
URL:https://wasp-sweden.org/event/phd-defense-methods-for-brain-mri-image-synthesis-and-analysis/
LOCATION:T1 (Emmy Rappesalen)\, Hälsovägen 11C\, Huddinge\, T1 (Emmy Rappesalen)\, Hälsovägen 11C\, Huddinge\, Stockholm\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20241217T130000
DTEND;TZID=+01:00:20241217T235900
DTSTAMP:20260602T011804
CREATED:20241122T084114Z
LAST-MODIFIED:20260601T083801Z
UID:10000146-1734440400-1734479940@wasp-sweden.org
SUMMARY:PhD Defense: Pedestrian Behavior Prediction Using Machine Learning Methods
DESCRIPTION:Welcome to the doctoral defense of Chi Zhang \nDate and time: December 17\, 13:00 \nLocation: Room 520 in Jupiter Building\, Hörselgången 5\, Lindholmen\, Gothenburg \nDoctoral student: Chi Zhang\, Department of Computer Science and Engineering\, Chalmers University of Technology and University of Gothenburg \nTitle: Pedestrian Behavior Prediction Using Machine Learning Methods \nMain supervisor: Professor Christian Berger\, Department of Computer Science and Engineering\, Chalmers University of Technology and University of Gothenburg \nOpponent: Associate professor He Wang\, Department of Computer Science\, University College London \nOriginal location: Room 520 in Jupiter Building\, Hörselgången 5\, Lindholmen\, Gothenburg
URL:https://wasp-sweden.org/event/phd-defense-pedestrian-behavior-prediction-using-machine-learning-methods/
LOCATION:Gothenburg\, Gothenburg\, Göteborg\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20241213T140000
DTEND;TZID=+01:00:20241213T235900
DTSTAMP:20260602T011804
CREATED:20241122T074657Z
LAST-MODIFIED:20260601T083801Z
UID:10000147-1734098400-1734134340@wasp-sweden.org
SUMMARY:PhD Defense: Augmenting Test Oracles with Production Observations
DESCRIPTION:Welcome to the doctoral defense of Deepika Tiwari \nDate and time: December 13\, 14:00 \nLocation: Kollegiesalen\, Brinellvägen 8\, KTH Royal Institute of Technology\, Stockholm\, and online (https://kth-se.zoom.us/j/64605922145) \nDoctoral student: Deepika Tiwari\, Division of Software and Computer Systems\, KTH Royal Institute of Technology \nTitle: Augmenting Test Oracles with Production Observations \nMain supervisor: Professor Benoit Baudry\, KTH Royal Institute of Technology and University of Montreal \nOpponent: Professor Paolo Tonella\, Universita della Svizzera Italiana\, Lugano\, Switzerland \nOriginal location: Kollegiesalen\, Brinellvägen 8\, Stockholm\, & online
URL:https://wasp-sweden.org/event/phd-defense-augmenting-test-oracles-with-production-observations/
LOCATION:Kollegiesalen\, Brinellvägen 8\, Stockholm\, Kollegiesalen\, Brinellvägen 8\, Stockholm\, Stockholm\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20241205T091500
DTEND;TZID=+01:00:20241205T235900
DTSTAMP:20260602T011804
CREATED:20241104T134245Z
LAST-MODIFIED:20260601T083802Z
UID:10000150-1733390100-1733443140@wasp-sweden.org
SUMMARY:PhD Defense: Motion Estimation from Temporally and Spatially Sparse Medical Image Sequences
DESCRIPTION:Welcome to the Doctoral Defense of Niklas Gunnarsson \nDate and time: December 5\, 09:15 \nLocation: Ångström Laboratory\, 101195\, Heinz-Otto Kreiss\, Uppsala University\, Uppsala \nDoctoral student: Niklas Gunnarsson\, Department of Information Technology\, Uppsala University\, and Elekta Instrument AB \nTitle: Motion Estimation from Temporally and Spatially Sparse Medical Image Sequences \nSupervisors: Thomas B. Schön\, Uppsala University\, Jens Sjölund\, Uppsala University\, and Peter Kimstrand\, Elekta Instrument AB \nOpponent: Professor Bram van Ginneken\, Radboud University \nOriginal location: Ångström Laboratory\, 101195\, Heinz-Otto Kreiss\, Uppsala University
URL:https://wasp-sweden.org/event/phd-defense-motion-estimation-from-temporally-and-spatially-sparse-medical-image-sequences/
LOCATION:Ångströmlaboratoriet\, Lägerhyddsvägen 1\, Uppsala University\, Ångströmlaboratoriet\, Lägerhyddsvägen 1\, Uppsala University\, Uppsala\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20241202T130000
DTEND;TZID=+01:00:20241202T235900
DTSTAMP:20260602T011804
CREATED:20241121T085344Z
LAST-MODIFIED:20260601T083802Z
UID:10000148-1733144400-1733183940@wasp-sweden.org
SUMMARY:PhD Defense: From Chance to Choice: Strategies to Attaining Resilience in Cyber-Physical Systems
DESCRIPTION:Welcome to the Doctoral Defense of Ricardo Diniz Caldas \nDate and time: December 2\, 13:00 \nLocation: Omega Room\, Jupiter Building\, Lindholmen Campus\, Chalmers University of Technology\, Gothenburg \nDoctoral student: Ricardo Diniz Caldas\, Interaction Design and Software Engineering\, Department of Computer Science and Engineering\, Chalmers University of Technology and University of Gothenburg \nTitle: From Chance to Choice: Strategies to Attaining Resilience in Cyber-Physical Systems \nMain supervisor: Patrizio Pelliccione\, Associate Professor\, Interaction Design and Software Engineering\, Computer Science and Engineering\, Chalmers University of Technology and University of Gothenburg \nOpponent: Prof. Dr. Raffaela Mirandola\, Karlsruhe Institute of Technology (KIT)\, Germany \nOriginal location: Omega Room\, Jupiter Building\, Lindholmen Campus\, Chalmers\, Gothenburg
URL:https://wasp-sweden.org/event/phd-defense-from-chance-to-choice-strategies-to-attaining-resilience-in-cyber-physical-systems/
LOCATION:Chalmers University of Technology\, Chalmers University of Technology\, Göteborg\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20241129T090000
DTEND;TZID=+01:00:20241129T235900
DTSTAMP:20260602T011804
CREATED:20241121T083402Z
LAST-MODIFIED:20260601T083802Z
UID:10000149-1732870800-1732924740@wasp-sweden.org
SUMMARY:PhD Defense: Geometric Deep Learning for Medical Image Processing Problems
DESCRIPTION:Welcome to the Doctoral Defense of Fabian Sinzinger \nDate and time: November 29\, 09:00 \nLocation: T2 (Jacobssonsalen)\, Hälsovägen 11C\, Huddinge\, and online (https://kth-se.zoom.us/j/62762467727) \nDoctoral student: Fabian Sinzinger\, Division of Biomedical Imaging\, KTH Royal Institute of Technology \nTitle: Geometric Deep Learning for Medical Image Processing Problems \nMain supervisor: Professor Rodrigo Moreno\, Division of Biomedical Imaging\, KTH Royal Institute of Technology \nOpponent: Professor Thomas Schultz\, University of Bonn \nOriginal location: T2 (Jacobssonsalen)\, Hälsovägen 11C\, Huddinge\, & online
URL:https://wasp-sweden.org/event/phd-defense-geometric-deep-learning-for-medical-image-processing-problems/
LOCATION:T2 (Jacobssonsalen)\, Hälsovägen 11C\, Huddinge\, T2 (Jacobssonsalen)\, Hälsovägen 11C\, Huddinge\, Stockholm\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20241125T100000
DTEND;TZID=+01:00:20241126T235900
DTSTAMP:20260602T011804
CREATED:20241022T101622Z
LAST-MODIFIED:20260601T083804Z
UID:10000153-1732528800-1732665540@wasp-sweden.org
SUMMARY:WARA Media & Language Community Days 2024
DESCRIPTION:Welcome to WARA Media & Language Community Days 2024\n\nWARA Media & Language Arena invites you to join us for a few days of knowledge-sharing\, interactive workshops and community-building activities. \nThe sign-up page is currently closed\, but if you’d like to participate\, please contact ivana.von.proschwitz@umu.se for more information. \nAgenda\nMonday\, November 25 \n10:00 Welcome and Introduction – Arena Updates by Johanna Björklund\n11:00 Evaluation of Generative AI – Konrad Tollmar & Gustav Eje Henter\n12:00 Lunch\n13:00 Research Discoveries & Opportunities\nMultimodal Foundation Models\nGraph-Based and Structured Learning – Frank Drewes\n15:00 Coffee Break\n15:30 Workshops\nCreative and Interactive AI – Alexandra Kafka Larsson\nEmbodied Learning – Anastasia Varava \n19:00 Conference Dinner \nTuesday\, November 26 \n09:00 Continuation of Workshops\n10:00 Coffee Break\n10:30 Avatar Demo with Modda (Rahil Jafari\, Anatoliy Lytovchencko & Johanna Björklund) & parallel Research-Pitch Session\n12:00 Lunch\n13:00 Norrköping Lab Workshop – Sandor Albrecht\n15:00 Closing of Conference \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. \n– We have reserved 42 single rooms and you will pay for your room at arrival (Conference price 2000 kr). \n  \nFor WARA CORE\, ACADEMICS\, and INVITED SPEAKERS: \n  \nAccommodation (Hotel): \n-We have reserved 42 single rooms for accommodation. \n  \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. \n\n  \nTransport to Villa Fridhem: \nThe easiest way to get to Villa Frihem is to take the train to Norrköping Train Station and then take a taxi to Villa Fridhem. It takes approx 16 min and please share rides if possible. \n  \n\nPlease let us know if you have any questions or need further assistance regarding your travel and accommodation arrangements. \n\nOriginal location: Getå Villa Fridhem 1\, Åby (outside Norrköping)
URL:https://wasp-sweden.org/event/wara-media-language-community-days-2024/
LOCATION:Campus Norrköping\, Linköping University\, Campus Norrköping\, Linköping University\, Norrköping\, Sweden
CATEGORIES:WARA Media and Language
ATTACH;FMTTYPE=image/jpeg:https://wasp-sweden.org/wp-content/uploads/2024/10/DSC_0192-Elin.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20241122T131500
DTEND;TZID=+01:00:20241122T235900
DTSTAMP:20260602T011804
CREATED:20240923T075533Z
LAST-MODIFIED:20260601T083806Z
UID:10000159-1732281300-1732319940@wasp-sweden.org
SUMMARY:PhD Defense: Towards Declarative Specification of Static Analysis for Programming Tools
DESCRIPTION:Welcome to the Doctoral Defense of Idriss Riouak \nDate and time: November 22\, 13:15 \nLocation: E:A\, E-building\, Klas Anshelms väg 10 / John Ericssons väg 2\, Lund University\, Lund \nDoctoral student: Idriss Riouak\, Department of Computer Science\, Lund University \nTitle: Towards Declarative Specification of Static Analysis for Programming Tools \nMain supervisor: Professor Görel Hedin\, Department of Computer Science\, Lund University \nOpponent: Professor Coen De Roover\, Vrije Universiteit Brussel\, Belgium \nOriginal location: E:A\, E-building\, Klas Anshelms väg 10 / John Ericssons väg 2\, Lund
URL:https://wasp-sweden.org/event/phd-defense-towards-declarative-specification-of-static-analysis-for-programming-tools/
LOCATION:E:A\, E-building\, Ole Römers väg 3\, Lund University\, E:A\, E-building\, Ole Römers väg 3\, Lund University\, Lund\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20241122T100000
DTEND;TZID=+01:00:20241122T235900
DTSTAMP:20260602T011804
CREATED:20241025T070525Z
LAST-MODIFIED:20260601T083803Z
UID:10000152-1732269600-1732319940@wasp-sweden.org
SUMMARY:PhD Defense: Efficient Exploration and Analysis of Program Repair Search Spaces
DESCRIPTION:Welcome to the Doctoral Defense of Khashayar Etemadi \nDate and time: November 22\, 10:00 \nLocation: F3 (Flodis)\, Lindstedtsvägen 26\, Stockholm \nDoctoral student: Khashayar Etemadi\, Division of Theoretical Computer Science\, KTH Royal Institute of Technology \nTitle: Efficient Exploration and Analysis of Program Repair Search Spaces \nMain supervisor: Professor Martin Monperrus\, Division of Theoretical Computer Science\, KTH Royal Institute of Technology \nOpponent: Associate Professor Shane McIntosh\, University of Waterloo\, Waterloo\, ON\, Canada \nOriginal location: F3 (Flodis)\, Lindstedtsvägen 26\, Stockholm
URL:https://wasp-sweden.org/event/phd-defense-efficient-exploration-and-analysis-of-program-repair-search-spaces/
LOCATION:Stockholm\, Stockholm\, Stockholm\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20241121T000000
DTEND;TZID=+01:00:20241122T235900
DTSTAMP:20260602T011804
CREATED:20240923T162244Z
LAST-MODIFIED:20260601T083806Z
UID:10000158-1732147200-1732319940@wasp-sweden.org
SUMMARY:Women in Machine Learning Workshop
DESCRIPTION:Join the community and take part in shaping the future!\nMachine Learning (ML) is undeniably at the cutting edge of technological advancement today. ML tools are already influencing contemporary society\, and they are believed to have the potential to drive revolutionary changes in both research and everyday life by transforming a wide range of fields\, including healthcare\, cybersecurity\, and transportation. \nGiven its capacity to create such profound impact\, it is essential for all segments of society to participate in its development. However\, multiple groups are currently underrepresented within the field\, including women and non-binary groups. The primary goal of the “Women in Machine Learning Workshop – Join the community and take part in shaping the future!” is to help reduce this gender imbalance. \nThe workshop aims to bring together both beginners and experts to connect\, gain inspiration\, and deepen their understanding of machine learning and the ongoing research in the field. It is a lunch-to-lunch event that includes talks by leading female researchers and industry representatives\, as well as a tutorial and discussion session. \nWhen and where?\nDates: November 21st-22nd\, 2024\nLocation: Linköping University (LiU)\, Linköping. \nThe main venue is lecture hall Ada Lovelace at Linköping University (Linköping University\, Campus Valla\, House B\, Floor 2. Link to map. \nWho can participate?\nThe workshop is targeted towards those working within or interested in the field of machine learning\, aiming to make it more gender balanced. We  encourage participation from  underrepresented gender groups. \nThe workshop  is focussed on PhD students\, early-career industry professionals interested in research\, and master’s students in technical disciplines. Participants are advised to have at least an introductory understanding of machine learning\, such as having completed a foundational course on the subject. \nRegistration\nWelcome to register to the workshop via this sign-up form. \nThe registration is closed. \nInvited speakers\nThe workshop will feature two keynote talks\, a tutorial\, and an industry session. Below is a list of invited speakers: \n\nJudith Bütepage (ML Team Lead\, Electronic Arts)\nShizhen Chang (Assistant Professor\, Linköping University)\nKelsey Cotton (PhD student\, Chalmers University of Technology)\nAmanda Berg (Research Developer\, Maxar intelligence)\nKarin Stacke (Research Scientist\, Sectra)\nSaga Bergdahl (Software Engineer\, Husqvarna)\nElsa Björling (Software Engineer\, Husqvarna)\nFrida Blomstedt (Software Engineer Computer Vision\, Combitech)\nErika Anderskär (Data Scientist\, Combitech)\nJenny Kunz (Postdoctoral researcher\, Linköping University)\n\nDetailed information\nPlease find detailed information about the workshop\, including the schedule\, in this information packet.. \nOrganization and contact\nThis workshop is organized by representatives from Linköping University (LiU) and Chalmers University of Technology\, in collaboration with the Wallenberg AI\, Autonomous Systems and Software Program (WASP) Diversity and Inclusion Group. \nFor any questions or issues related to the workshop\, please send an email to amanda.olmin@liu.se or yushan.zhang@liu.se.
URL:https://wasp-sweden.org/event/women-in-machine-learning-workshop-2/
LOCATION:Linköping University\, Linköping University\, Linköping\, Sweden
CATEGORIES:Workshop
ATTACH;FMTTYPE=image/png:https://wasp-sweden.org/wp-content/uploads/2024/09/wml_image.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20241115T091500
DTEND;TZID=+01:00:20241115T235900
DTSTAMP:20260602T011804
CREATED:20240919T133858Z
LAST-MODIFIED:20260601T083806Z
UID:10000160-1731662100-1731715140@wasp-sweden.org
SUMMARY:PhD Defense: Critical Scenario Identification for Testing of Realistic Autonomous Driving Systems
DESCRIPTION:Welcome to the Doctoral Defense of Qunying Song \nDate and time: November 15\, 09:15 \nLocation: E:1406\, E-building\, Klas Anshelms väg 10 / John Ericssons väg 2\, Lund University\, Lund \nDoctoral student: Qunying Song\, Department of Computer Science\, Lund University \nTitle: Critical Scenario Identification for Testing of Realistic Autonomous Driving Systems \nMain supervisor: Professor Per Runeson\, Department of Computer Science\, Lund University \nOpponent: Professor Dietmar Pfahl\, University of Tartu\, Estonia \nOriginal location: E:1406\, E-building\, Klas Anshelms väg 10 / John Ericssons väg 2\, Lund
URL:https://wasp-sweden.org/event/phd-defense-critical-scenario-identification-for-testing-of-realistic-autonomous-driving-systems/
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=+01:00:20241108T130000
DTEND;TZID=+01:00:20241108T235900
DTSTAMP:20260602T011804
CREATED:20241021T132912Z
LAST-MODIFIED:20260601T083804Z
UID:10000154-1731070800-1731110340@wasp-sweden.org
SUMMARY:PhD Defense: Robust and generalizable AI for medical image processing
DESCRIPTION:Welcome to the doctoral defense of Emir Konuk \nDate and time: November 8\, 13:00 \nLocation: Kollegiesalen\, Brinellvägen 8\, Stockholm \nDoctoral student: Emir Konuk\, Division of Computational Science and Technology\, KTH Royal Institute of Technology \nTitle: Robust and generalizable AI for medical image processing \nMain supervisor: Associate Professor Kevin Smith\, Division of Computational Science and Technology\, KTH Royal Institute of Technology \nOpponent: Associate Professor Fredrik Lindsten\, Linköping University\, Department of Computer and Information Science\, Linköping
URL:https://wasp-sweden.org/event/phd-defense-robust-and-generalizable-ai-for-medical-image-processing/
LOCATION:Kollegiesalen\, Brinellvägen 8\, Stockholm\, Kollegiesalen\, Brinellvägen 8\, Stockholm\, Stockholm\, Sweden
CATEGORIES:Defense
END:VEVENT
END:VCALENDAR