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X-WR-CALDESC:Events for WASP
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BEGIN:VEVENT
DTSTART;TZID=+01:00:20250213T130000
DTEND;TZID=+01:00:20250213T235900
DTSTAMP:20260602T015630
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:20260602T015630
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:20260602T015630
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:20260602T015630
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:20260602T015630
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:20260602T015630
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:20260602T015630
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:20260602T015630
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:20260602T015630
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:20260602T015630
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:20260602T015630
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:20260602T015630
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:20260602T015630
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:20260602T015630
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:20260602T015630
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:20260602T015630
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:20260602T015630
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:20260602T015630
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
BEGIN:VEVENT
DTSTART;TZID=+01:00:20241108T091500
DTEND;TZID=+01:00:20241108T235900
DTSTAMP:20260602T015630
CREATED:20240919T132714Z
LAST-MODIFIED:20260601T083807Z
UID:10000161-1731057300-1731110340@wasp-sweden.org
SUMMARY:PhD Defense: Enhancing DevOps with Autonomous Monitors: A Proactive Approach to Failure Detection
DESCRIPTION:Welcome to the Doctoral Defense of Adha Hrusto \nDate and time: November 8\, 09:15 \nLocation: E:A\, E-building\, Klas Anshelms väg 10 / John Ericssons väg 2\, Lund University\, Lund\, and online (Zoom link: https://lu-se.zoom.us/j/68537887917) \nDoctoral student: Adha Hrusto\, Department of Computer Science\, Lund University\, and System Verification \nTitle: Enhancing DevOps with Autonomous Monitors: A Proactive Approach to Failure Detection \nSupervisors: Professor Per Runeson and Associate Professor Emelie Engström\, Department of Computer Science\, Lund University\, and Magnus C. Ohlsson\, System Verification. \nOpponent: Professor Mika Mäntylä\, University of Helsinki\, Finland \nOriginal location: E:A\, E-building\, Klas Anshelms väg 10 / John Ericssons väg 2\, Lund\, & online
URL:https://wasp-sweden.org/event/phd-defense-enhancing-devops-with-autonomous-monitors-a-proactive-approach-to-failure-detection/
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=+01:00:20241107T130000
DTEND;TZID=+01:00:20241107T235900
DTSTAMP:20260602T015630
CREATED:20241011T132313Z
LAST-MODIFIED:20260601T083804Z
UID:10000155-1730984400-1731023940@wasp-sweden.org
SUMMARY:PhD Defense: Order-Picking Optimization as a Service
DESCRIPTION:Welcome to the Doctoral Defense of Johan Oxenstierna \nDate and time: November 7\, 13:00 \nLocation: E:1406\, E-building\, Klas Anshelms väg 10 / John Ericssons väg 2\, Lund \nDoctoral student: Johan Oxenstierna\, Department of Computer Science\, Lund University\, and Kairos Logic AB \nTitle: Order-Picking Optimization as a Service \nSupervisors: Professor Volker Krueger and Professor Jacek Malec\, both at the Department of Computer Science\, Lund University; and Lijo George\, Founder and CEO\, Kairos Logic. \nOpponent: Associate Professor Kenn Steger-Jensen\, Aalborg University\, Denmark \nOriginal location: E:1406\, E-building\, Klas Anshelms väg 10 / John Ericssons väg 2\, Lund
URL:https://wasp-sweden.org/event/phd-defense-order-picking-optimization-as-a-service/
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=+01:00:20241104T091500
DTEND;TZID=+01:00:20241104T235900
DTSTAMP:20260602T015630
CREATED:20241029T122317Z
LAST-MODIFIED:20260601T083803Z
UID:10000151-1730711700-1730764740@wasp-sweden.org
SUMMARY:PhD Defense: Navigating Data Privacy and Tools: A Strategic Perspective
DESCRIPTION:Welcome to the Doctoral Defense of Saloni Kwatra \nDate and time: November 4\, 09:15 \nLocation: BIO.A.206 Aula Anatomica\, Biologihuset\, Umeå University \nDoctoral student: Saloni Kwatra\,  Department of Computing Science\, Umeå University \nTitle: Navigating Data Privacy and Tools: A Strategic Perspective \nMain supervisor: Professor Vicenç Torra\, Department of Computing Science\, Umeå University \nOpponent: Professor Sébastien Gambs\, Département d’informatique\, Université du Québec à Montréal\, Canada \nOriginal location: BIO.A.206 Aula Anatomica\, Biologihuset\, Umeå University
URL:https://wasp-sweden.org/event/phd-defense-navigating-data-privacy-and-tools-a-strategic-perspective/
LOCATION:BIO.A.206 Aula Anatomica\, Umeå University\, BIO.A.206 Aula Anatomica\, Umeå University\, Umeå\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20241101T130000
DTEND;TZID=+01:00:20241101T235900
DTSTAMP:20260602T015630
CREATED:20241011T112240Z
LAST-MODIFIED:20260601T083805Z
UID:10000156-1730466000-1730505540@wasp-sweden.org
SUMMARY:PhD Defense: Grounding in Context: Studies in Robot Language Grounding in Real-world Contexts
DESCRIPTION:Welcome to the doctoral defense of Mohamadreza Faridghasemnia \nDate and time: November 1\, 13:00 \nLocation: Hörsal T\, Teknikhuset\, Örebro University\, Fakultetsgatan 1\, Örebro \nDoctoral student: Mohamadreza Faridghasemnia\, School of Science and Technology\, Centre for Applied Autonomous Sensor Systems\, Örebro University \nTitle: Grounding in Context: Studies in Robot Language Grounding in Real-world Contexts \nMain supervisor: Professor Alessandro Saffiotti\, School of Science and Technology\, Centre for Applied Autonomous Sensor Systems\, Örebro University \nOpponent: Dr. Katerina Pastra\, Athena Research Center\, Greece \nOriginal location: Hörsal T\, Teknikhuset\, Örebro University
URL:https://wasp-sweden.org/event/phd-defense-grounding-in-context-studies-in-robot-language-grounding-in-real-world-contexts/
LOCATION:T\, Teknikhuset\, Örebro University\, T\, Teknikhuset\, Örebro University\, Örebro\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20241025T090000
DTEND;TZID=+01:00:20241025T235900
DTSTAMP:20260602T015630
CREATED:20241009T105442Z
LAST-MODIFIED:20260601T083805Z
UID:10000157-1729846800-1729900740@wasp-sweden.org
SUMMARY:PhD Defense: Perspectives on Predictive and Annotation Uncertainty in Probabilistic Machine Learning
DESCRIPTION:Welcome to the doctoral defense of Amanda Olmin \nDate and time: October 25\, 09:00 \nLocation: Ada Lovelace\, B-building\, Campus Valla\, Linköping University\, Linköping \nDoctoral student: Amanda Olmin\, Division of Statistics and Machine Learning\, Department of Computer and Information Science\, Linköping University \nTitle: Perspectives on Predictive and Annotation Uncertainty in Probabilistic Machine Learning \nMain supervisor: Fredrik Lindsten\, Senior Associate Professor\, Division of Statistics and Machine Learning\, Department of Computer and Information Science\, Linköping University \nOpponent: Jes Frellsen\, Associate Professor\, Technical University of Denmark\, Denmark \nOriginal location: Ada Lovelace\, B-building\, Campus Valla\, Linköping
URL:https://wasp-sweden.org/event/phd-defense-perspectives-on-predictive-and-annotation-uncertainty-in-probabilistic-machine-learning/
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=+01:00:20241024T083000
DTEND;TZID=+01:00:20241025T235900
DTSTAMP:20260602T015630
CREATED:20240620T073957Z
LAST-MODIFIED:20260601T083812Z
UID:10000174-1729758600-1729900740@wasp-sweden.org
SUMMARY:WASP Academia and Industry Days 2024
DESCRIPTION:Please visit the conference webpage to read more. \nAI Readiness Now – Academia and Industry Joining Forces\n\n\n\nWASP Academia and Industry Days takes its stance in the rapidly changing conditions for technology research and innovation. Join us to discuss and act on how we build successful collaborations between Swedish industry\, academia\, and societal actors. \nWhile Industrial investments in AI in Sweden are at an all-time high\, collaboration between academia and industry is vital to ensure a strong positioning of Sweden as a leading nation in the fast-moving global AI landscape. This conference is a call to action that will address visions\, trends and needed national initiatives\, as well as concrete and practical steps for synergistic academic and industry interaction and collaboration. Urgent topics and questions will be discussed and debated\, such as: \n\nHow do we successfully accelerate research driven AI strategies for Swedish companies?\nHow do we lower the barriers further for academia-industry collaboration?\nThe Swedish AI job market is in flux and the need for newly graduated competences and PhDs is growing\, how do we make the most of the opportunities created by WASP for talent and recruitment?\n\nThe event promises a compelling program with world leading keynotes and visionary talks\, case studies\, parallel workshops lead by companies\, as not least opportunities for spontaneous bilateral meetings for PhDs and companies. Featuring some of Sweden’s most prominent industry representatives\, decision-makers and AI-researchers\, participants will get the unique possibility to shape the actions for Sweden’s AI readiness. \nWelcome to join us! \nWhen and where?\nDates: October 24-25\nLocation: Clarion Hotel Sign\, Stockholm \nAccomodation and travels must be booked by each particpant individually. \nRegistration\nThe registration is closed\, but you are welcome to join the waitlist. Please send your interest to wasp.event@partner.liu.se. \nIf a spot becomes available\, we will contact you! \nWho can participate?\nCompanies and organizations with research activities in Sweden\, decision-makers\, WASP researchers including postdocs\, and WASP PhD students are welcome to participate in WASP Academia and Industry Days. \n\n\nOriginal location: Clarion Hotel Sign\, Stockholm
URL:https://wasp-sweden.org/event/wasp-academia-and-industry-days-2024/
LOCATION:Stockholm\, Stockholm\, Stockholm\, Sweden
CATEGORIES:Conference
ATTACH;FMTTYPE=image/jpeg:https://wasp-sweden.org/wp-content/uploads/2024/06/40-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20241011T101500
DTEND;TZID=+01:00:20241011T235900
DTSTAMP:20260602T015630
CREATED:20240918T091632Z
LAST-MODIFIED:20260601T083808Z
UID:10000164-1728641700-1728691140@wasp-sweden.org
SUMMARY:PhD Defense: Learning Robot Vision under Insufficient Data
DESCRIPTION:Welcome to the doctoral defense of Arvi Jonnarth \nDate and time: October 11\, 10:15 \nLocation: Ada Lovelace\, B-building\, Campus Valla\, Linköping University\, Linköping \nDoctoral student: Arvi Jonnarth\, Computer Vision Laboratory\, Department of Electrical Engineering\, Linköping University\, and Husqvarna AB \nTitle: Learning Robot Vision under Insufficient Data \nMain supervisor: Professor Michael Felsberg\, Computer Vision Laboratory\, Department of Electrical Engineering\, Linköping University \nOpponent: Professor Lazaros Nalpantidis\, Department of Electrical and Photonics Engineering\, Technical University of Denmark\, Lyngby\, Denmark \nOriginal location: Ada Lovelace\, B-building\, Campus Valla\, Linköping
URL:https://wasp-sweden.org/event/phd-defense-learning-robot-vision-under-insufficient-data/
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=+01:00:20241011T091500
DTEND;TZID=+01:00:20241011T235900
DTSTAMP:20260602T015630
CREATED:20240918T093359Z
LAST-MODIFIED:20260601T083808Z
UID:10000163-1728638100-1728691140@wasp-sweden.org
SUMMARY:PhD Defense: Minimax Adaptive Control and Estimation
DESCRIPTION:Welcome to the doctoral defense of Olle Kjellqvist \nDate and time: October 11\, 09:15 \nLocation: Lecture hall A\, building M\, Ole Römers väg 1\, Lund University\, Lund \nDoctoral student: Olle Kjellqvist\, Department of Automatic Control\, Lund University \nTitle: Minimax Adaptive Control and Estimation \nMain supervisor: Professor Anders Rantzer\, Department of Automatic Control\, Lund University \nOpponent: Dr Jack Umenberger\, Senior Research Fellow\, University of Oxford \nOriginal location: Lecture hall A\, building M\, Ole Römers väg 1\, Lund
URL:https://wasp-sweden.org/event/phd-defense-minimax-adaptive-control-and-estimation/
LOCATION:Lund University\, Lund University\, Lund\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20241008T140000
DTEND;TZID=+01:00:20241008T235900
DTSTAMP:20260602T015630
CREATED:20240919T083500Z
LAST-MODIFIED:20260601T083807Z
UID:10000162-1728396000-1728431940@wasp-sweden.org
SUMMARY:PhD Defense: Predictive and Vision-based Control for Multi-Agent Aerial and Space Systems
DESCRIPTION:Welcome to the Doctoral Defense of Pedro Roque \nDate and time: October 8\, 14:00 \nLocation: Kollegiesalen\, Brinellvägen 8\, Stockholm\, and online (https://kth-se.zoom.us/j/65515055298) \nDoctoral student: Pedro Roque\, Division of Decision and Control Systems\, School of Electrical Engineering and Computer Science\, KTH Royal Institute of Technology \nTitle: Predictive and Vision-based Control for Multi-Agent Aerial and Space Systems \nMain supervisor: Professor Dimos V. Dimarogonas\, Division of Decision and Control Systems\, School of Electrical Engineering and Computer Science\, KTH Royal Institute of Technology \nOpponent: Professor Paolo Robuffo Giordano\, IRISA\, INRIA Rennes \nOriginal location: Kollegiesalen\, Brinellvägen 8\, Stockholm\, & online
URL:https://wasp-sweden.org/event/phd-defense-predictive-and-vision-based-control-for-multi-agent-aerial-and-space-systems/
LOCATION:Kollegiesalen\, Brinellvägen 8\, Stockholm\, Kollegiesalen\, Brinellvägen 8\, Stockholm\, Stockholm\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20240927T101500
DTEND;TZID=+01:00:20240927T235900
DTSTAMP:20260602T015630
CREATED:20240910T120024Z
LAST-MODIFIED:20260601T083809Z
UID:10000166-1727432100-1727481540@wasp-sweden.org
SUMMARY:PhD Defense: Spherical NeurO(n)s for Geometric Deep Learning
DESCRIPTION:Welcome to the Doctoral Defense of Pavlo Melnyk \nDate and time: September 27\, 10:15 \nLocation: Ada Lovelace\, B-building\, Campus Valla\, Linköping\, and online (see link below) \nDoctoral student: Pavlo Melnyk\, Computer Vision Laboratory\, Department of Electrical Engineering\, Linköping University \nTitle: Spherical NeurO(n)s for Geometric Deep Learning \nMain supervisor: Professor Michael Felsberg\, Computer Vision Laboratory\, Department of Electrical Engineering\, Linköping University \nOpponent: Professor Kostas Daniilidis\, GRASP Laboratory\, University of Pennsylvania\, Philadelphia\, PA\, USA \nOriginal location: Ada Lovelace\, B-building\, Campus Valla\, Linköping\, & online
URL:https://wasp-sweden.org/event/phd-defense-spherical-neurons-for-geometric-deep-learning/
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=+01:00:20240926T130000
DTEND;TZID=+01:00:20240926T235900
DTSTAMP:20260602T015630
CREATED:20240911T123730Z
LAST-MODIFIED:20260601T083809Z
UID:10000165-1727355600-1727395140@wasp-sweden.org
SUMMARY:PhD Defense: Equivariant deep learning with applications in computer vision
DESCRIPTION:Welcome to the Doctoral Defense of Georg Bökman \nDate and time: September 26\, 13:00 \nLocation: EL41\, EDIT-huset\, Chalmers University of Technology\, Gothenburg \nDoctoral student: Georg Bökman\, Signal Processing and Biomedical Engineering\, Department of Electrical Engineering\, Chalmers University of Technology \nTitle: Equivariant deep learning with applications in computer vision \nMain supervisor: Professor Fredrik Kahl\, Signal Processing and Biomedical Engineering\, Department of Electrical Engineering\, Chalmers University of Technology \nOpponent: Professor Kostas Daniilidis\, University of Pennsylvania \nOriginal location: EL41\, EDIT-huset\, Chalmers\, Gothenburg
URL:https://wasp-sweden.org/event/phd-defense-equivariant-deep-learning-with-applications-in-computer-vision/
LOCATION:Chalmers University of Technology\, Chalmers University of Technology\, Göteborg\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20240926T100000
DTEND;TZID=+01:00:20240926T235900
DTSTAMP:20260602T015630
CREATED:20240830T071045Z
LAST-MODIFIED:20260601T083810Z
UID:10000168-1727344800-1727395140@wasp-sweden.org
SUMMARY:PhD Defense: Exploiting Sparsity In Parameter Estimation And Input Design
DESCRIPTION:Welcome to the Doctoral Defense of Javad Parsa. \nDate and time: September 26\, 10:00 \nLocation: F3 (Flodis)\, Lindstedtsvägen 26 & 28\, KTH Royal Institute of Technology\, Stockholm \nDoctoral student: Javad Parsa\, Division of Decision and Control Systems\, KTH Royal Institute of Technology \nTitle: Exploiting Sparsity In Parameter Estimation And Input Design \nMain supervisor: Professor Håkan Hjalmarsson\, Division of Decision and Control Systems\, KTH Royal Institute of Technology \nOpponent: Professor Mario Sznaier\, Northeastern University\, Electrical and Computer Engineering\, Boston\, Mass\, USA \nOriginal location: F3 (Flodis)\, Lindstedtsvägen 26 & 28\, Stockholm
URL:https://wasp-sweden.org/event/phd-defense-exploiting-sparsity-in-parameter-estimation-and-input-design/
LOCATION:Stockholm\, Stockholm\, Stockholm\, Sweden
CATEGORIES:Defense
END:VEVENT
END:VCALENDAR