BEGIN:VCALENDAR
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PRODID:-//WASP - ECPv6.16.3//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://wasp-sweden.org
X-WR-CALDESC:Events for WASP
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:+01:00
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BEGIN:VEVENT
DTSTART;TZID=+01:00:20250331T140000
DTEND;TZID=+01:00:20250331T235900
DTSTAMP:20260601T135032
CREATED:20250306T142536Z
LAST-MODIFIED:20260601T083752Z
UID:10000123-1743429600-1743465540@wasp-sweden.org
SUMMARY:PhD defense: Towards Reliable Deep Foundation Models in OOD detection\, model calibration\, and hallucination mitigation
DESCRIPTION:Welcome to the doctoral defense of Xixi Liu \nDate and time: March 31st\, 14:00 \nLocation: Lecture Hall SB-H4\, Sven Hultins Gata 6\, Gothenburg \nDoctoral student: Xixi Liu\, Doctoral Student\, Signal Processing and Biomedical Engineering\, Electrical Engineering\, Chalmers \nTitle: Towards Reliable Deep Foundation Models in OOD detection\, model calibration\, and hallucination mitigation\n \nMain supervisor: Professor Christopher Zach\, Signal Processing and Biomedical Engineering\, Electrical Engineering\, Chalmers \nOpponent: Professor\, Fredrik Lindsten\, Linköping University \nOriginal location: Lecture Hall SB-H4\, Sven Hultins Gata 6\, Gothenburg
URL:https://wasp-sweden.org/event/phd-defense-towards-reliable-deep-foundation-models-in-ood-detection-model-calibration-and-hallucination-mitigation/
LOCATION:Gothenburg\, Gothenburg\, Göteborg\, Sweden
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20241217T130000
DTEND;TZID=+01:00:20241217T235900
DTSTAMP:20260601T135032
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20240924T000000
DTEND;TZID=+01:00:20240925T235900
DTSTAMP:20260601T135032
CREATED:20240506T052034Z
LAST-MODIFIED:20260601T083819Z
UID:10000189-1727136000-1727308740@wasp-sweden.org
SUMMARY:The Disruptive Role of Data and AI in the Life Sciences
DESCRIPTION:A Joint Conference between DDLS\, WASP and WASP-HS. \nThe conference will focus on different aspects of research where collaboration over scientific domains is essential and will explore the following topics: \n\n\n\n\n\nHow data- and AI-driven research is shaping the future of life science\nDevelopment of new approaches to human-in-the-loop technologies and their use\nThe need for studies at the intersection of society\, AI\, and data driven life sciences\n\n\n\n\n\nParticipants will have the opportunity to network\, be inspired by excellent international keynote speakers\, and take part of the latest research in Sweden. In addition to plenary keynotes\, the program will offer a panel discussion\, a poster session and ample time to mingle. \nPractical Details\nDates and times\nSeptember 24\, 12:00 – September 25\, 12:30\nRegistration is open from 11:00 on September 24. \nVenue\nWallenberg Conference Center\, Medicinaregatan 20 A\, Gothenburg \nInformation for registered poster\n\nsize of poster 90x 120 cm portrait format\nposters can be hung on the 24th of September from 11:00 and should be done by 12:00\nposter should be removed after the end of the conference on the 25th. You are responsible for your poster. Forgotten posters will not be saved.\n\nDuring the poster session 17:15-19 on the 24th of September we would appreciate if you are available by your poster for discussions and questions. During the Magnet mingle on the 25th you are also welcome to be by your poster. \nOriginal location: Wallenberg Conference Center\, Gothenburg\, Sweden
URL:https://wasp-sweden.org/event/the-disruptive-role-of-data-and-ai-in-the-life-sciences/
LOCATION:Gothenburg\, Gothenburg\, Göteborg\, Sweden
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20240910T100000
DTEND;TZID=+01:00:20240910T235900
DTSTAMP:20260601T135032
CREATED:20240820T093008Z
LAST-MODIFIED:20260601T083811Z
UID:10000171-1725962400-1726012740@wasp-sweden.org
SUMMARY:PhD Defense: Learning When To Drive in Uncertain Scenarios: A deep Q-learning approach
DESCRIPTION:Welcome to the Doctoral Defense of Tommy Tram \nDate and time: September 10\, 10:00 \nLocation: HC1\, Hörsalsvägen 14\, Chalmers University of Technology\, Gothenburg \nDoctoral student: Tommy Tram\, Systems and Control\, Department of Electrical Engineering\, Chalmers University of Technology\, and Zenseact \nTitle: Learning When To Drive in Uncertain Scenarios: A deep Q-learning approach \nMain supervisors: Jonas Sjöberg\, Professor\, Systems and Control\, Department of Electrical Engineering\, Chalmers University of Technology\, and Mohammad Ali\, Chief Architect\, Zenseact \nOpponent: Professor Miguel Ángel Sotelo\, University of Alcala\, Spain \nOriginal location: HC1\, Hörsalsvägen 14\, Gothenburg
URL:https://wasp-sweden.org/event/phd-defense-learning-when-to-drive-in-uncertain-scenarios-a-deep-q-learning-approach/
LOCATION:Gothenburg\, Gothenburg\, Göteborg\, Sweden
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20240826T000000
DTEND;TZID=+01:00:20240828T235900
DTSTAMP:20260601T135032
CREATED:20240612T112706Z
LAST-MODIFIED:20260601T083813Z
UID:10000175-1724630400-1724889540@wasp-sweden.org
SUMMARY:2024 WASP-WISE symposium on Machine Learning for Materials and Molecular Discoveries
DESCRIPTION:The 2024 WASP-WISE symposium on Machine Learning for Materials and Molecular Discoveries (ML2MD) seeks to highlight some of the key research developments at the interface of machine learning and materials of the past couple of years\, focusing on the following themes: \n\nGenerative AI for Materials and Molecules\nML-accelerated Simulations\nAutomation\, Experiments\, and Machine Learning\nFoundation Models for Materials and Molecules\n\nThe symposium is organized by Assistant Professor Rocío Mercado Oropeza (Chalmers) and Associate Professor Chao Zhang (Uppsala University). \nOriginal location: Lindholmen Conference Centre\, Gothenburg
URL:https://wasp-sweden.org/event/2024-wasp-wise-symposium-on-machine-learning-for-materials-and-molecular-discoveries/
LOCATION:Gothenburg\, Gothenburg\, Göteborg\, Sweden
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20240315T130000
DTEND;TZID=+01:00:20240315T235900
DTSTAMP:20260601T135032
CREATED:20240308T084325Z
LAST-MODIFIED:20260601T083821Z
UID:10000194-1710507600-1710547140@wasp-sweden.org
SUMMARY:PhD Defense: Combinatorial Semi-Bandit Methods for Navigation of Electric Vehicles
DESCRIPTION:Welcome to the Doctoral Defense of Niklas Åkerblom\n \nDate and time: March 15\, 13:00\n \nLocation: EC\, Hörsalsvägen 11\, Gothenburg \nDoctoral student: Niklas Åkerblom\, Data Science and AI\, Department of Computer Science and Engineering\, Chalmers University of Technology \nTitle: Combinatorial Semi-Bandit Methods for Navigation of Electric Vehicles \nMain supervisor: Morteza Haghir Chehreghan\, Associate Professor\, Data Science and AI\, Department of Computer Science and Engineering\, Chalmers University of Technology \nOpponent: Dr. Branislav Kveton\, AWS AI Labs\, USA\n \nOriginal location: EC\, Hörsalsvägen 11\, Gothenburg
URL:https://wasp-sweden.org/event/phd-defense-combinatorial-semi-bandit-methods-for-navigation-of-electric-vehicles/
LOCATION:Gothenburg\, Gothenburg\, Göteborg\, Sweden
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20231213T141500
DTEND;TZID=+01:00:20231213T235900
DTSTAMP:20260601T135032
CREATED:20231201T125842Z
LAST-MODIFIED:20260601T083824Z
UID:10000203-1702476900-1702511940@wasp-sweden.org
SUMMARY:PhD Defense: Journeys in vector space: Using deep neural network representations to aid automotive software engineering
DESCRIPTION:Welcome to the Doctoral Defense of Dhasarathy Parthasarathy \nDate and time: December 13\, 14:15\n \nLocation: Analysen\, EDIT\, Rännvägen 6B\, Gothenburg\, and online (see link) \nDoctoral student: Dhasarathy Parthasarathy\, Department of Computer Science and Engineering\, Chalmers University of Technology and University of Gothenburg \nTitle: Journeys in vector space: Using deep neural network representations to aid automotive software engineering \nMain supervisor: Professor Carl-Johan Seger\, Chalmers University of Technology \nOpponent: Professor Earl T. Barr\, University College London\, London\, United Kingdom \nOriginal location: Analysen\, EDIT\, Rännvägen 6B\, Gothenburg\, & online
URL:https://wasp-sweden.org/event/phd-defense-journeys-in-vector-space-using-deep-neural-network-representations-to-aid-automotive-software-engineering/
LOCATION:Gothenburg\, Gothenburg\, Göteborg\, Sweden
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20220208T131500
DTEND;TZID=+01:00:20220208T235900
DTSTAMP:20260601T135032
CREATED:20220114T073816Z
LAST-MODIFIED:20260601T083856Z
UID:10000287-1644326100-1644364740@wasp-sweden.org
SUMMARY:PhD Defense: Principled Flow Tracking in IoT and Low-Level Applications
DESCRIPTION:Welcome to Doctoral Defense of Iulia Bastys\n \nDate and time: February 8\, 13:15 – 16:00\n \nLocation: Lecture hall HA4\, Hörsalsvägen 4\, Hörsalar HA\, Gothenburg \nDoctoral student: Iulia Bastys\, Department of Computer Science and Engineering\,\nChalmers University of Technology \nTitle: Principled Flow Tracking in IoT and Low-Level Applications \nSupervisor: Andrei Sabefeld\, Chalmers University of Technology\n \nOpponent: Limin Jia\, Carnegie Mellon University\, USA \nOriginal location: Lecture hall HA4\, Hörsalsvägen 4\, Hörsalar HA\, Gothenburg
URL:https://wasp-sweden.org/event/phd-defense-principled-flow-tracking-in-iot-and-low-level-applications/
LOCATION:Gothenburg\, Gothenburg\, Göteborg\, Sweden
END:VEVENT
END:VCALENDAR