BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//WASP - ECPv6.16.3//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:WASP
X-ORIGINAL-URL:https://wasp-sweden.org
X-WR-CALDESC:Events for WASP
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:+01:00
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BEGIN:VEVENT
DTSTART;TZID=+01:00:20240926T130000
DTEND;TZID=+01:00:20240926T235900
DTSTAMP:20260601T151047
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=+01:00:20240823T150000
DTEND;TZID=+01:00:20240823T235900
DTSTAMP:20260601T151047
CREATED:20240815T062051Z
LAST-MODIFIED:20260601T083811Z
UID:10000172-1724425200-1724457540@wasp-sweden.org
SUMMARY:PhD Defense: Synthesis and Repair for Functional Programming: A Type- and Test-Driven Approach
DESCRIPTION:Welcome to the Doctoral Defense of Matthías Páll Gissurarson \nDate and time: August 23\, 15:00 \nLocation: EC in EDIT-huset\, Elektrovägen 1\, Gothenburg\, and online (see link below) \nDoctoral student: Matthías Páll Gissurarson\, Department of Computer Science and Engineering\, Chalmers University of Technology and University of Gothenburg \nTitle: Synthesis and Repair for Functional Programming: A Type- and Test-Driven Approach \nMain supervisor: Professor David Sands\, Department of Computer Science and Engineering\, Chalmers University of Technology and University of Gothenburg \nOpponent: Claire Le Goues\, Carnegie Mellon University\, USA \nOriginal location: EC\, EDIT\, Chalmers\, Gothenburg & online
URL:https://wasp-sweden.org/event/phd-defense-synthesis-and-repair-for-functional-programming-a-type-and-test-driven-approach/
LOCATION:Chalmers University of Technology\, Chalmers University of Technology\, Göteborg\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20240412T100000
DTEND;TZID=+01:00:20240412T235900
DTSTAMP:20260601T151047
CREATED:20240322T113827Z
LAST-MODIFIED:20260601T083819Z
UID:10000191-1712916000-1712966340@wasp-sweden.org
SUMMARY:PhD Defense: Robot Learning for Deformable Object Manipulation Tasks
DESCRIPTION:Welcome to the Doctoral Defense of Rita Laezza\n \nDate and time: April 12\, 10:00\n \nLocation: EB\, Hörsalsvägen 11\, Chalmers University of Technology\, Gothenburg\, and online (see link) \nDoctoral student:  Rita Laezza\, Systems and Control\, Chalmers University of Technology \nTitle: Robot Learning for Deformable Object Manipulation Tasks \nMain supervisor: Yiannis Karayiannidis\, Researcher\, Systems and Control\, Chalmers University of Technology \nOpponent: Prof. Gianluca Palli\, University of Bologna\, Italy \nOriginal location: EB\, Hörsalsvägen 11\, Chalmers\, & online
URL:https://wasp-sweden.org/event/phd-defense-robot-learning-for-deformable-object-manipulation-tasks/
LOCATION:Chalmers University of Technology\, Chalmers University of Technology\, Göteborg\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20240408T100000
DTEND;TZID=+01:00:20240408T235900
DTSTAMP:20260601T151047
CREATED:20240308T085940Z
LAST-MODIFIED:20260601T083820Z
UID:10000193-1712570400-1712620740@wasp-sweden.org
SUMMARY:PhD Defense: Single Base Station mmWave Radio Positioning\, Mapping\, and SLAM
DESCRIPTION:Welcome to the Doctoral Defense of Yu Ge\n \nDate and time: April 8\, 10:00\n \nLocation: SB-H4\, Building Samhällsbyggnad I-II\, Chalmers University of Technology\, Gothenburg \nDoctoral student: Yu Ge\, Communication\, Antennas and Optical Networks\, Department of Electrical Engineering Chalmers University of Technology \nTitle: Single Base Station mmWave Radio Positioning\, Mapping\, and SLAM \nMain supervisor: Professor Henk Wymeersch\, Communication\, Antennas and Optical Networks\, Department of Electrical Engineering\, Chalmers University of Technology \nOpponent: Professor Gustaf Hendeby\, Department of Electrical Engineering\, Linköping University \nOriginal location: SB-H4\, Building Samhällsbyggnad I-II\, Chalmers\, Gothenburg
URL:https://wasp-sweden.org/event/phd-defense-single-base-station-mmwave-radio-positioning-mapping-and-slam/
LOCATION:Chalmers University of Technology\, Chalmers University of Technology\, Göteborg\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20240202T131500
DTEND;TZID=+01:00:20240202T235900
DTSTAMP:20260601T151047
CREATED:20240116T081811Z
LAST-MODIFIED:20260601T083822Z
UID:10000199-1706879700-1706918340@wasp-sweden.org
SUMMARY:PhD Defense: Learning and Optimizing Camera Pose
DESCRIPTION:Welcome to the Doctoral Defense of Lucas Brynte\n \nDate and time: February 2\, 13:15\n \nLocation: EC\, EDIT\, Campus Johanneberg\, Chalmers University of Technology\, Gothenburg \nDoctoral student: Lucas Brynte\, Division of Signal Processing and Biomedical Engineering\, Department of Electrical Engineering\, Chalmers University of Technology \nTitle: Learning and Optimizing Camera Pose \nMain supervisor: Prof. Fredrik Kahl\, Division of Signal Processing and Biomedical Engineering\, Department of Electrical Engineering\, Chalmers University of Technology \nOpponent: Prof. Dr. Konrad Schindler\, Photogrammetry and Remote Sensing\, ETH Zürich\, Switzerland \nOriginal location: EC\, EDIT\, Campus Johanneberg\, Chalmers\, Gothenburg
URL:https://wasp-sweden.org/event/phd-defense-learning-and-optimizing-camera-pose/
LOCATION:Chalmers University of Technology\, Chalmers University of Technology\, Göteborg\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20231020T100000
DTEND;TZID=+01:00:20231020T235900
DTSTAMP:20260601T151047
CREATED:20231002T110435Z
LAST-MODIFIED:20260601T083828Z
UID:10000214-1697796000-1697846340@wasp-sweden.org
SUMMARY:PhD Defense: Outlier Detection as a Safety Measure for Safety Critical Deep Learning
DESCRIPTION:Welcome to the Doctoral Defense of Jens Henriksson \nDate and time: October 20\, 10:00\n \nLocation:  Room Omega\, Jupiter building\, Chalmers Lindholmen\, Gothenburg \nDoctoral student: Jens Henriksson\, Semcon Sweden AB and the Division of Interaction Design and Software Engineering\, Chalmers University of Technology and University of Gothenburg \nTitle: Outlier Detection as a Safety Measure for Safety Critical Deep Learning \nSupervisor: Christian Berger\, Professor\, Interaction Design and Software Engineering\, Chalmers University of Technology and University of Gothenburg \nOpponent: Simon Burton\, Fraunhofer Institute for Cognitive Systems\, University of York \nOriginal location: Chalmers Lindholmen\, Jupiter building\, room Omega
URL:https://wasp-sweden.org/event/phd-defense-outlier-detection-as-a-safety-measure-for-safety-critical-deep-learning/
LOCATION:Chalmers University of Technology\, Chalmers University of Technology\, Göteborg\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20230530T131500
DTEND;TZID=+01:00:20230530T235900
DTSTAMP:20260601T151047
CREATED:20230522T075058Z
LAST-MODIFIED:20260601T083833Z
UID:10000226-1685452500-1685491140@wasp-sweden.org
SUMMARY:PhD Defense: Adaptiveness\, Asynchrony\, and Resource Efficiency in Parallel Stochastic Gradient Descent
DESCRIPTION:Welcome to the Doctoral Defense of Karl Bäckström \nDate and time: May 30\, 13:15-17:00\n \nLocation: Lecture room EE\, EDIT building\, Campus Johanneberg\, Chalmers University of Technology\, Gothenburg\, and online (see link below) \nDoctoral student: Karl Bäckström\, Networks and Systems\, Department of Computer Science and Engineering\, Chalmers University of Technology and University of Gothenburg \nTitle: Adaptiveness\, Asynchrony\, and Resource Efficiency in Parallel Stochastic Gradient Descent \nSupervisor: Marina Papatriantafilou\, Associate Professor\, Networks and Systems\, Department of Computer Science and Engineering\, Chalmers University of Technology and University of Gothenburg \nOpponent: Assaf Schuster\, Professor\, Technion – Israel Institute of Technology\, Israel \nOriginal location: Lecture room EE\, EDIT building\, Campus Johanneberg\, Chalmers & online
URL:https://wasp-sweden.org/event/phd-defense-adaptiveness-asynchrony-and-resource-efficiency-in-parallel-stochastic-gradient-descent/
LOCATION:Chalmers University of Technology\, Chalmers University of Technology\, Göteborg\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20230525T131500
DTEND;TZID=+01:00:20230525T235900
DTSTAMP:20260601T151047
CREATED:20230412T095920Z
LAST-MODIFIED:20260601T083835Z
UID:10000233-1685020500-1685059140@wasp-sweden.org
SUMMARY:PhD Defense: Mathematical Foundations of Equivariant Neural Networks
DESCRIPTION:Welcome to the Doctoral Defense of Jimmy Aronsson \nDate and time: May 25\, 13:15-15:00\n \nLocation: Pascal\, Hörsalsvägen 1\, Campus Johanneberg\, Chalmers University of Technology\, Gothenburg\, and online (see link below) \nDoctoral student: Jimmy Aronsson\, Division of Algebra and geometry\, Department of Mathematical Sciences\, Chalmers University of Technology and University of Gothenburg \nTitle: Mathematical Foundations of Equivariant Neural Networks \nSupervisor: Professor Daniel Persson\, Division of Algebra and geometry\, Department of Mathematical Sciences\, Chalmers University of Technology and University of Gothenburg \nOpponent: Professor Erik Bekkers\, University of Amsterdam \nOriginal location: Pascal\, Hörsalsvägen 1\, Campus Johanneberg\, Chalmers & online
URL:https://wasp-sweden.org/event/phd-defense-mathematical-foundations-of-equivariant-neural-networks/
LOCATION:Chalmers University of Technology\, Chalmers University of Technology\, Göteborg\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20230119T130000
DTEND;TZID=+01:00:20230119T235900
DTSTAMP:20260601T151047
CREATED:20230103T113656Z
LAST-MODIFIED:20260601T083840Z
UID:10000244-1674133200-1674172740@wasp-sweden.org
SUMMARY:PhD Defense: Information-Theoretic Generalization Bounds: Tightness and Expressiveness
DESCRIPTION:Welcome to the Doctoral Defense of Fredrik Hellström\n \nDate and time: January 19\, 13:00\n \nLocation: EF-salen\, Hörsalsvägen 11\, Chalmers\, and online (see link below) \nDoctoral student: Fredrik Hellström\, Department of Electrical Engineering\, Division of Communication\, Antennas and Optical Networks\, Chalmers University of Technology \nTitle: Information-Theoretic Generalization Bounds: Tightness and Expressiveness \nSupervisor: Professor Giuseppe Durisi\, Department of Electrical Engineering\, Chalmers University of Technology \nOpponent: Gergely Neu\, Universitat Pompeu Fabra\, Spain \nOriginal location: EF-salen\, Hörsalsvägen 11\, Chalmers & online
URL:https://wasp-sweden.org/event/phd-defense-information-theoretic-generalization-bounds-tightness-and-expressiveness/
LOCATION:Chalmers University of Technology\, Chalmers University of Technology\, Göteborg\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20221104T100000
DTEND;TZID=+01:00:20221104T235900
DTSTAMP:20260601T151047
CREATED:20221103T142000Z
LAST-MODIFIED:20260601T083843Z
UID:10000252-1667556000-1667606340@wasp-sweden.org
SUMMARY:PhD Defense: Formal Methods and Safety for Automated Vehicles: Modeling\, Abstractions\, and Synthesis of Tactical Planners
DESCRIPTION:Welcome to the Doctoral Defense of Jonas Krook\n \nDate and time: November 4\, 10:00\n \nLocation: HC2\, Hörsalsvägen 14\, Chalmers University of Technology and online (Zoom) \nDoctoral student: Jonas Krook\, Electrical Engineering\, Systems and control\, Chalmers University of Technology \nTitle:Formal Methods and Safety for Automated Vehicles: Modeling\, Abstractions\, and Synthesis of Tactical Planners \nSupervisor: Martin Fabian\, Chalmers University of Technology \nOpponent: Associate Prof. Necmiye Özay\, University of Michigan\, USA \nOriginal location: HC2\, Hörsalsvägen 14\, Chalmers University of Technology & online
URL:https://wasp-sweden.org/event/phd-defense-formal-methods-and-safety-for-automated-vehicles-modeling-abstractions-and-synthesis-of-tactical-planners/
LOCATION:Chalmers University of Technology\, Chalmers University of Technology\, Göteborg\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20220908T130000
DTEND;TZID=+01:00:20220908T235900
DTSTAMP:20260601T151047
CREATED:20220809T075151Z
LAST-MODIFIED:20260601T083848Z
UID:10000266-1662642000-1662681540@wasp-sweden.org
SUMMARY:PhD Defense: Performance Evaluation of Serverless Applications and Infrastructures
DESCRIPTION:Welcome to the Doctoral Defense of Joel Scheuner\n \nDate and time: September 8\, 13:00\n \nLocation: Room 243\, Jupiter Building\, Campus Lindholmen \nDoctoral student: Joel Scheuner\, Computer Science and Engineering\, Chalmers \nTitle: Performance Evaluation of Serverless Applications and Infrastructures \nSupervisor: Philipp Leitner\, Computer Science and Engineering\, Chalmers\n \nOpponent: Prof. Petr Tůma\, Department of Distributed and Dependable Systems\, Charles University Prague\, Czech Republic \nOriginal location: Online and Room 243\, Jupiter Building\, Hörselgången 5\, Chalmers University of Technology\, Campus Lindholmen\, Gothenburg
URL:https://wasp-sweden.org/event/phd-defense-performance-evaluation-of-serverless-applications-and-infrastructures/
LOCATION:Chalmers University of Technology\, Chalmers University of Technology\, Göteborg\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20220309T100000
DTEND;TZID=+01:00:20220309T235900
DTSTAMP:20260601T151047
CREATED:20220217T075709Z
LAST-MODIFIED:20260601T083855Z
UID:10000283-1646820000-1646870340@wasp-sweden.org
SUMMARY:PhD Defense: Enabling Safe Autonomous Driving in Uncertain Environments
DESCRIPTION:Welcome to the Doctoral Defense of Ivo Batkovic\nDate and time: March 9\, 10:00 – 12:30 \nLocation: Room HB1\, Chalmers\n \nDoctoral student: Ivo Batkovic\, Electrical Engineering\, Systems and control\, Mechatronics\, Chalmers University of Technology \nTitle: Enabling Safe Autonomous Driving in Uncertain Environments \nSupervisor: Associate professor Paolo Falcone\, Chalmers University of Technology \nOpponent: Prof. Nathan van de Wouw\, Eindhoven University of Technology\, Netherlands \nOriginal location: Room HB1\, Chalmers
URL:https://wasp-sweden.org/event/phd-defense-enabling-safe-autonomous-driving-in-uncertain-environments/
LOCATION:Chalmers University of Technology\, Chalmers University of Technology\, Göteborg\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20211112T100000
DTEND;TZID=+01:00:20211112T235900
DTSTAMP:20260601T151047
CREATED:20211021T082605Z
LAST-MODIFIED:20260601T083859Z
UID:10000295-1636711200-1636761540@wasp-sweden.org
SUMMARY:PhD defense: Decision-Making in Autonomous Driving using Reinforcement Learning
DESCRIPTION:Welcome to Doctoral Defense of Carl-Johan Hoel\n\nDate and time: November 12\, 10:00 – 12:00\n \nLocation: Lecture room FB\, Fysikgården 4\, Chalmers \nDoctoral student: Carl-Johan Hoel\, Chalmers\, Mechanics and Maritime Sciences\, Vehicle Engineering and Autonomous Systems \nTitel: Decision-Making in Autonomous Driving using Reinforcement Learning \nSupervisor: Krister Wolff\, Chalmers \nOpponent:  Professor Ville Kyrki\, Department of Electrical Engineering and Automation\, Aalto University\, Finland \n\nOriginal location: Lecture room FB\, Fysikgården 4\, Chalmers
URL:https://wasp-sweden.org/event/phd-defense-decision-making-in-autonomous-driving-using-reinforcement-learning/
LOCATION:Chalmers University of Technology\, Chalmers University of Technology\, Göteborg\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20210917T130000
DTEND;TZID=+01:00:20210917T235900
DTSTAMP:20260601T151047
CREATED:20210901T070203Z
LAST-MODIFIED:20260601T083902Z
UID:10000301-1631883600-1631923140@wasp-sweden.org
SUMMARY:PhD Defense: Privacy expectations and challenges of smart home ecosystems
DESCRIPTION:Welcome to Doctoral Defense of Tomasz Kosinski\n\nDate and time: September 17\, 13:00 \nLocation: Room CSE 473\, Jupiter building\, Hörselgången 5\, Campus Lindholmen and online \nDoctoral student: Tomasz Kosinski\, Department of Computer Science and Engineering\, Chalmers University of Technology \nTitel: Privacy expectations and challenges of smart home ecosystems \nSupervisor: Professor Morten Fjeld\, Department of Computer Science and Engineering \nOpponent:  Professor Florian Alt\, Professor of Usable Security at the Bundeswehr University Munich \n\nOriginal location: Chalmers University of Technology / online
URL:https://wasp-sweden.org/event/phd-defense-privacy-expectations-and-challenges-of-smart-home-ecosystems/
LOCATION:Chalmers University of Technology\, Chalmers University of Technology\, Göteborg\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20210609T133000
DTEND;TZID=+01:00:20210609T235900
DTSTAMP:20260601T151047
CREATED:20210528T112344Z
LAST-MODIFIED:20260601T083903Z
UID:10000305-1623245400-1623283140@wasp-sweden.org
SUMMARY:PhD Defense: Designing Trustworthy Autonomous Systems
DESCRIPTION:Welcome to Doctoral Defense of Piergiuseppe Mallozzi\nDate and Time: June 9th\, 13:30\n \nLocation: Room 473\, Jupiter Building \nTitel: Designing Trustworthy Autonomous Systems \nDoctoral student: Piergiuseppe Mallozzi\, PhD Software Engineering\, Chalmers University of Technology \nSupervisor: Patrizio Pelliccione\, Chalmers University of Technology \nOpponent:  Cristina Seceleanu\, Mälardalen University\, Sweden \nOriginal location: Chalmers Universtity of Technology
URL:https://wasp-sweden.org/event/phd-defense-designing-trustworthy-autonomous-systems/
LOCATION:Chalmers University of Technology\, Chalmers University of Technology\, Göteborg\, Sweden
CATEGORIES:Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20190605T100000
DTEND;TZID=+01:00:20190605T235900
DTSTAMP:20260601T151047
CREATED:20190531T082636Z
LAST-MODIFIED:20260601T083919Z
UID:10000347-1559728800-1559779140@wasp-sweden.org
SUMMARY:Tactical decision-making for autonomous driving: A reinforcement learning approach
DESCRIPTION:Defense by Carl-Johan Hoel\nFor: Licentiate of Engineering in Adaptive systems\nLocation: Lecture hall FB\, Fysikgården 4\, Chalmers University of Technology\, Göteborg \nDiscussion leader: Associate Professor Christos Dimitrakakis\, Department of Computer Science and Engineering\, Chalmers.\nSupervisors: Associate Professor Krister Wolff (Chalmers)\, Adjunct Professor Leo Laine (AB Volvo).\nExaminer: Professor Mattias Wahde \nThe tactical decision-making task of an autonomous vehicle is challenging\, due to the diversity of the environments the vehicle operates in\, the uncertainty in the sensor information\, and the complex interaction with other road users. This thesis introduces and compares three general approaches\, based on reinforcement learning\, to creating a tactical decision-making agent. The first method uses a genetic algorithm to automatically generate a rule based decision-making agent\, whereas the second method is based on a Deep QNetwork agent. The third method combines the concepts of planning and learning\, in the form of Monte Carlo tree search and deep reinforcement learning. The three approaches are applied to several highway driving cases in a simulated environment and outperform a commonly used baseline model by taking decisions that allow the vehicle to navigate 5% to 10% faster through dense traffic. However\, the main advantage of the methods is their generality\, which is indicated by applying them to conceptually different driving cases. Furthermore\, this thesis introduces a novel way of applying a convolutional neural network architecture to a high level state description of interchangeable objects\, which speeds up the learning process and eliminates all collisions in the test cases. \nOriginal location: Chalmers University of Technology\, Göteborg
URL:https://wasp-sweden.org/event/tactical-decision-making-for-autonomous-driving-a-reinforcement-learning-approach/
LOCATION:Chalmers University of Technology\, Chalmers University of Technology\, Göteborg\, Sweden
CATEGORIES:Defense
END:VEVENT
END:VCALENDAR