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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
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=+01:00:20260522T090000
DTEND;TZID=+01:00:20260522T235900
DTSTAMP:20260601T135514
CREATED:20260429T090519Z
LAST-MODIFIED:20260601T083714Z
UID:10000018-1779440400-1779494340@wasp-sweden.org
SUMMARY:PhD Defense: Learning to Estimate: Bayesian Filtering with Deep Density Methods
DESCRIPTION:Welcome to the doctoral defense of Kasper Bågmark \nDate and time: May 22\, 9:00 \nLocation: Euler\, Skeppsgränd 3\, Chalmers\, Göteborg \nDoctoral student: Kasper Bågmark \nTitle: Learning to Estimate: Bayesian Filtering with Deep Density Methods \nOriginal location: Euler\, Skeppsgränd 3\, Chalmers\, Göteborg
URL:https://wasp-sweden.org/event/phd-defense-learning-to-estimate-bayesian-filtering-with-deep-density-methods/
LOCATION:Chalmers University of Technology\, Chalmers University of Technology\, Göteborg\, Sweden
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20260312T163000
DTEND;TZID=+01:00:20260312T235900
DTSTAMP:20260601T135514
CREATED:20260302T083044Z
LAST-MODIFIED:20260601T083719Z
UID:10000031-1773333000-1773359940@wasp-sweden.org
SUMMARY:Panel Discussion: AI and Its Effects on the Individual and Society Today
DESCRIPTION:Author and psychologist Lydia Sandgren reflects on potential psychological and social implications of AI together with philosopher and theologian Ola Sigurdson. They are joined by Anders Rosengren (Sahlgrenska Academy) and Robert Feldt (Chalmers)\, who collaborate on research exploring how LLM-based agent systems can support patient information and guidance in healthcare. \nDuring the evening\, Chalmers researchers will present recent research on AI companions and youth mental health\, AI ethics and social impact\, and sustainable human–robot interaction. The event is open to researchers as well as the general public interested in understanding AI’s possible impacts today. \nTo see the event’s program and register\, visit the event website. \nOriginal location: RunAn\, Chalmersplatsen 1\, Gothenberg
URL:https://wasp-sweden.org/event/panel-discussion-ai-and-its-effects-on-the-individual-and-society-today/
LOCATION:Chalmers University of Technology\, Chalmers University of Technology\, Göteborg\, Sweden
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20260224T130000
DTEND;TZID=+01:00:20260224T235900
DTSTAMP:20260601T135514
CREATED:20260130T120644Z
LAST-MODIFIED:20260601T083721Z
UID:10000036-1771938000-1771977540@wasp-sweden.org
SUMMARY:PhD Defense: Robust Learning with Limited Labels
DESCRIPTION:Welcome to the doctoral defense of Erik Wallin \nDate and time: Feburary 24\, 13:00 \nLocation: HC1\, Hörsalsvägen 14\, Chalmers \nDoctoral student: Erik Wallin \nTitle: Robust Learning with Limited Labels \nOriginal location: HC1\, Hörsalsvägen 14\, Chalmers
URL:https://wasp-sweden.org/event/phd-defense-robust-learning-with-limited-labels/
LOCATION:Chalmers University of Technology\, Chalmers University of Technology\, Göteborg\, Sweden
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20260206T090000
DTEND;TZID=+01:00:20260206T235900
DTSTAMP:20260601T135514
CREATED:20260113T085522Z
LAST-MODIFIED:20260601T083725Z
UID:10000045-1770368400-1770422340@wasp-sweden.org
SUMMARY:PhD Defense: Deep generative models for molecular dynamics and design
DESCRIPTION:Welcome to the doctoral defense of Juan Viguera Diez \nDate and time: Friday 6 February\, 9:00 \nLocation: EDIT Building\, EC Room\, Chalmers \nDoctoral student: Juan Vigerua Diez \nTitle: Deep generative models for molecular dynamics and design \n\n\n\nOriginal location: EDIT Building\, EC Room\, Chalmers
URL:https://wasp-sweden.org/event/phd-defense-deep-generative-models-for-molecular-dynamics-and-design/
LOCATION:Chalmers University of Technology\, Chalmers University of Technology\, Göteborg\, Sweden
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20260114T130000
DTEND;TZID=+01:00:20260114T235900
DTSTAMP:20260601T135514
CREATED:20260113T075728Z
LAST-MODIFIED:20260601T083725Z
UID:10000047-1768395600-1768435140@wasp-sweden.org
SUMMARY:PhD Defense: Adaptation under Distributional Shifts in Centralized and Federated settings
DESCRIPTION:Welcome to the doctoral defense of Adam Breitholtz \nDate and time: January 14\, 13:00 \nLocation: EDIT Building\, EA Room\, Chalmers \nDoctoral student: Adam Breitholtz \nTitle: Adaptation under Distributional Shifts in Centralized and Federated settings \nOriginal location: EDIT Building\, EA Room\, Chalmers
URL:https://wasp-sweden.org/event/phd-defense-adaptation-under-distributional-shifts-in-centralized-and-federated-settings/
LOCATION:Chalmers University of Technology\, Chalmers University of Technology\, Göteborg\, Sweden
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20260113T090000
DTEND;TZID=+01:00:20260113T235900
DTSTAMP:20260601T135514
CREATED:20251210T091927Z
LAST-MODIFIED:20260601T083726Z
UID:10000049-1768294800-1768348740@wasp-sweden.org
SUMMARY:PhD Defense: Learning to Make Decisions for Autonomous Drug Design
DESCRIPTION:Welcome to the doctoral defense of Hampus Gummesson Svensson \nDate and time: January 13\, 9:00 \nLocation: EA\, Hörsalsvägen 11\, Chalmers \nDoctoral student: Hampus Gummesson Svensson \nTitle: Learning to Make Decisions for Autonomous Drug Design \nOriginal location: EA\, Hörsalsvägen 11\, Chalmers
URL:https://wasp-sweden.org/event/phd-defense-learning-to-make-decisions-for-autonomous-drug-design/
LOCATION:Chalmers University of Technology\, Chalmers University of Technology\, Göteborg\, Sweden
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20251217T130000
DTEND;TZID=+01:00:20251217T235900
DTSTAMP:20260601T135514
CREATED:20251124T093000Z
LAST-MODIFIED:20260601T083727Z
UID:10000052-1765976400-1766015940@wasp-sweden.org
SUMMARY:PhD Defense: Convex Optimization for Machine Learning over Graphs: From Collaborative Learning to Node Classification
DESCRIPTION:Welcome to the doctoral defense of Firooz Shahriari Mehr \nDate and time: December 17\, 13:00 \nLocation: EDIT Building\, EE Room\, Chalmers \nDoctoral student: Firooz Shahriari Mehr \nTitle: Convex Optimization for Machine Learning over Graphs: From Collaborative Learning to Node Classification \nOriginal location: EDIT Building\, EE Room\, Chalmers
URL:https://wasp-sweden.org/event/phd-defense-convex-optimization-for-machine-learning-over-graphs-from-collaborative-learning-to-node-classification/
LOCATION:Chalmers University of Technology\, Chalmers University of Technology\, Göteborg\, Sweden
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20251216T130000
DTEND;TZID=+01:00:20251216T235900
DTSTAMP:20260601T135514
CREATED:20251125T090011Z
LAST-MODIFIED:20260601T083727Z
UID:10000051-1765890000-1765929540@wasp-sweden.org
SUMMARY:PhD defense: Geometry and Learning in 3D Computer Vision
DESCRIPTION:Welcome to the doctoral defense of Yaroslava Lochman \nDate and time: December 16\, 13:00 \nLocation: FHB2\, Hörsalsvägen 8\, Chalmers \nDoctoral student: Yaroslava Lochman \nTitle: Geometry and Learning in 3D Computer Vision \nOriginal location: HB2\, Hörsalsvägen 8\, Chalmers
URL:https://wasp-sweden.org/event/phd-defense-geometry-and-learning-in-3d-computer-vision/
LOCATION:Chalmers University of Technology\, Chalmers University of Technology\, Göteborg\, Sweden
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20251114T140000
DTEND;TZID=+01:00:20251114T235900
DTSTAMP:20260601T135514
CREATED:20251021T120707Z
LAST-MODIFIED:20260601T083731Z
UID:10000063-1763128800-1763164740@wasp-sweden.org
SUMMARY:PhD Defense: Debloating Machine Learning Systems
DESCRIPTION:Welcome to the doctoral defense of Huaifeng Zheng \nDate and time: November 14\, 14:00 \nLocation: EDIT 6217\, Chalmers Johannesburg Campus \nDoctoral student: Huaifeng Zheng \nTitle: Debloating Machine Learning Systems \nOriginal location: EDIT 6217\, Chalmers Johannesburg Campus
URL:https://wasp-sweden.org/event/phd-defense-debloating-machine-learning-systems/
LOCATION:Chalmers University of Technology\, Chalmers University of Technology\, Göteborg\, Sweden
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20251113T000000
DTEND;TZID=+01:00:20251114T235900
DTSTAMP:20260601T135514
CREATED:20251002T090110Z
LAST-MODIFIED:20260601T083731Z
UID:10000065-1762992000-1763164740@wasp-sweden.org
SUMMARY:Women in Machine Learning Workshop
DESCRIPTION:Event Details\nDates: November 13-14\, 2025\nFormat: Lunch-to-Lunch Event\nLocation: Chalmers University of Technology\, Gothenburg\, Sweden \nRegistration Link: https://forms.gle/aw4nEfiP79dd19LcA \n\nJoin the Community and Shape the Future\nMachine Learning (ML) and Artificial Intelligence (AI) is undeniably at the cutting edge of technological advancement today. ML and AI tools continue to influence contemporary society\, and have driven revolutionary changes in both research and everyday life – transforming a wide range of fields\, including healthcare\, cybersecurity\, and transportation. \nWhy This Workshop Matters\nThe impact of AI and ML is immense\, and it is essential for all segments of society to participate in its development. However\, multiple groups are currently under-represented 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 under-representation\, especially amongst early career researchers and Masters students. \nWorkshop Goals\nThe workshop aims to bring together early career researchers and under-represented groups\, interested in these topics\, to connect\, gain inspiration\, and deepen their understanding of AI\, machine learning and the ongoing research in the field. It is a lunch-to-lunch event that includes talks\, workshops\, a tutorial\, and networking sessions facilitated by Chalmers PhD students and industry representatives. \nWho Should Attend\nThis workshop is specifically designed for: \n\nEarly career researchers in ML and AI\nMasters students interested in machine learning\nWomen and non-binary individuals in STEM\nAnyone passionate about increasing diversity in AI research\n\nWhat to Expect\nOur comprehensive program includes inspiring keynote talks\, hands-on workshops\, practical tutorials\, and structured networking sessions. Connect with like-minded peers\, learn from industry experts\, and discover new opportunities in machine learning research and applications. \nOriginal location: Chalmers University of Technology\, Gothenburg
URL:https://wasp-sweden.org/event/women-in-machine-learning-workshop/
LOCATION:Chalmers University of Technology\, Chalmers University of Technology\, Göteborg\, Sweden
ATTACH;FMTTYPE=image/jpeg:https://wasp-sweden.org/wp-content/uploads/2025/10/WASP_RegoImage.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20251105T100000
DTEND;TZID=+01:00:20251105T235900
DTSTAMP:20260601T135514
CREATED:20250925T062801Z
LAST-MODIFIED:20260601T083732Z
UID:10000067-1762336800-1762387140@wasp-sweden.org
SUMMARY:PhD Defense: Optimal Coordination Methods for Autonomous Vehicles in Mixed Traffic
DESCRIPTION:Welcome to the doctoral defense of Muhammad Faris \nDate and time: November 5\, 10:00 \nLocation: HC3\, Hörsalsvägen 14\, Chalmers \nDoctoral student: Muhammad Faris \nTitle: Optimal Coordination Methods for Autonomous Vehicles in Mixed Traffic \nOriginal location: HC3\, Hörsalsvägen 14\, Chalmers
URL:https://wasp-sweden.org/event/phd-defense-optimal-coordination-methods-for-autonomous-vehicles-in-mixed-traffic/
LOCATION:Chalmers University of Technology\, Chalmers University of Technology\, Göteborg\, Sweden
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20251021T090000
DTEND;TZID=+01:00:20251021T235900
DTSTAMP:20260601T135514
CREATED:20250925T062347Z
LAST-MODIFIED:20260601T083733Z
UID:10000068-1761037200-1761091140@wasp-sweden.org
SUMMARY:PhD Defense: Automating Hypothesis Generation and Testing: Towards Self-driving Biology
DESCRIPTION:Welcome to the doctoral defense of Daniel Brunnsåker \nDate and time: October 21\, 9:00 \nLocation: KB10 (10:an)\, Chemistry building\, Kemivägen 8a\, Chalmers University of Technology\, Campus Johanneberg \nDoctoral student: Daniel Brunnsåker \nTitle: Automating Hypothesis Generation and Testing: Towards Self-driving Biology \nOriginal location: KB10 (10:an)\, Chemistry building\, Kemivägen 8a\, Chalmers University of Technology\, Campus Johanneberg
URL:https://wasp-sweden.org/event/phd-defense-automating-hypothesis-generation-and-testing-towards-self-driving-biology/
LOCATION:Chalmers University of Technology\, Chalmers University of Technology\, Göteborg\, Sweden
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20251010T130000
DTEND;TZID=+01:00:20251010T235900
DTSTAMP:20260601T135514
CREATED:20250919T103842Z
LAST-MODIFIED:20260601T083735Z
UID:10000074-1760101200-1760140740@wasp-sweden.org
SUMMARY:PhD Defense: Leveraging Structural Priors and Historical Data for Practical Treatment Personalization with Multi-Armed Bandits
DESCRIPTION:Welcome to the doctoral defense of Newton Mwai Kinyanjui \nDate and time: 10 October\, 13:00 \nLocation: Lecture Room EC\, EDIT Building Elektrogården 1\, Chalmers Campus Johanneberg \nDoctoral student: Newton Mwai Kinyanjui \nTitle: Leveraging Structural Priors and Historical Data for Practical Treatment Personalization with Multi-Armed Bandits \nOriginal location: Lecture Room EC\, EDIT Building Elektrogården 1\, Chalmers Campus Johanneberg
URL:https://wasp-sweden.org/event/phd-defense-leveraging-structural-priors-and-historical-data-for-practical-treatment-personalization-with-multi-armed-bandits/
LOCATION:Chalmers University of Technology\, Chalmers University of Technology\, Göteborg\, Sweden
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20250911T130000
DTEND;TZID=+01:00:20250911T235900
DTSTAMP:20260601T135514
CREATED:20250818T134309Z
LAST-MODIFIED:20260601T083739Z
UID:10000086-1757595600-1757635140@wasp-sweden.org
SUMMARY:PhD Defense: Artificial Intelligence Supported Road Vehicle Suspension Design
DESCRIPTION:Welcome to the doctoral defense of Yansong Huang \nDate and time: September 11\, 13:00 \nLocation: Room EE (6233)\, EDIT Building\, Hörsalsvägen 11\, Chalmers\, Gothenburg \nDoctoral student: Yansong Huang\, Chalmers\, Mekanik och maritima vetenskaper\, Fordonsteknik och autonoma system \nTitle: Artificial Intelligence Supported Road Vehicle Suspension Design \nOriginal location: Room EE (6233)\, EDIT Building\, Hörsalsvägen 11\, Chalmers\, Gothenburg
URL:https://wasp-sweden.org/event/phd-defense-artificial-intelligence-supported-road-vehicle-suspension-design/
LOCATION:Chalmers University of Technology\, Chalmers University of Technology\, Göteborg\, Sweden
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20250911T000000
DTEND;TZID=+01:00:20250912T235900
DTSTAMP:20260601T135514
CREATED:20250821T101820Z
LAST-MODIFIED:20260601T083738Z
UID:10000085-1757548800-1757721540@wasp-sweden.org
SUMMARY:2025 WASP Software Engineering and Technology Cluster Workshop
DESCRIPTION:Join us on September 11-12 for the 2025 WASP Software Engineering and Technology Cluster Workshop\, conducted in collaboration with the Chalmers/GU AI Engineering Laboratory. \nThis will be an exciting opportunity to hear about the research being conducted by world class leaders in the software engineering field – both internationally and within Sweden – and to network\, find new collaborations\, and more! \nNote: This workshop is free and open to anyone\, so feel free to share with both academic and industrial colleagues. \nWe are also seeking volunteers to present on their research. Research should be broadly related to AI\, autonomous systems\, and/or software engineering. contact Gregory Gay (ggay@chalmers.se) with your name and a title for your talk. \nKeynote speakers: \n\nBuilding and Evaluating AI-Powered Apps: Challenges\, Lessons\, and Future Research Directions – Chris Parnin\, Principal Researcher\, Microsoft Research \n\nBeyond Autocomplete: Towards Effective Human-AI Interaction in Software Engineering – Christoph Treude\, Associate Professor\, Singapore Management University \nProgram details: \n\n\n\n\n\nSession\n\n\nSpeaker\n\n\nTitle or Subject of Talk\n\n\n\n\n11-Sep\n\n\n\n\n\n\n\n13:30 – 13:35\n\n\n\n\n\nGregory Gay\n\n\nWelcome\n\n\n\n\n13:35 – 13:40\n\n\nKeynote 1\n\n\nJennifer Horkoff\n\n\nIntroduction of Chalmers/GU AI Engineering Lab\n\n\n\n\n13:40 – 15:00\n\n\n\n\n\nChris Parnin\n\n\nBuilding and Evaluating AI-Powered Apps: Challenges\, Lessons\, and Future Research Directions\n\n\n\n\n15:00 – 15:30\n\n\nCoffee Break/Fika\n\n\n\n\n\n\n15:30 – 16:00\n\n\n\n\n\nPhilipp Leitner\n\n\nAdventures in Software Performance Engineering\n\n\n\n\n16:00 – 16:30\n\n\n\n\n\nMartin Monperrus\n\n\nCHAINS: Consistent Hardening and Analysis of Software Supply Chains\n\n\n\n\n16:30 – 16:45\n\n\nResearch Talks\n\n\nJingxiong (Roy) Liu\n\n\nLLMs to Support Test Maintenance Activities\n\n\n\n\n16:45 – 17:00\n\n\n\n\n\nSabina Akbarova\n\n\nSoftware Testing\n\n\n\n\n17:00 – 17:15\n\n\n\n\n\nAntonia Welzel\n\n\nRequirement Conflicts at Runtime\n\n\n\n\n17:15 – 17:30\n\n\n\n\n\nMorten Fjeld\n\n\nThe Future of Mobile Interaction\n\n\n\n\n12-Sep\n\n\n\n\n\n\n\n9:00 – 10:30\n\n\nKeynote 2\n\n\nChristoph Treude\n\n\nBeyond Autocomplete: Towards Effective Human-AI Interaction in Software Engineering\n\n\n\n\n10:30 – 11:00\n\n\nCoffee Break/Fika\n\n\n\n\n\n\n11:00 – 11:15\n\n\nIntroduction to Agentic AI Hackathon\n\n\nMiroslaw Staron\n\n\n\n\n\n11:15 – 11:45\n\n\n\n\n\nKhan Mohammad Habibullah\n\n\nNon-Functional Requirements for Machine Learning Systems\n\n\n\n\n11:45 – 12:00\n\n\nResearch Talks\n\n\nYi Peng\n\n\nData Requirements for ML Systems\n\n\n\n\n12:00 – 12:15\n\n\n\n\n\nWillem Meijer\n\n\nData-informed Linting for ML Software\n\n\n\n\n12:15 – 12:30\n\n\n\n\n\nRaffaela Groner\n\n\nDevelopers’ View on Security in Software Supply Chains: Insights from an Interview Study\n\n\n\n\n12:30 – 12:45\n\n\n\n\n\nGeorge Granberry\n\n\nSpecification Synthesis with Frama-C and Deepseek-R1\n\n\n\n\n12:45 – 14:00\n\n\nLunch\n\n\n\n\n\n\n14:00 – 16:00\n\n\nAgentic AI Hackathon\n\n\nMiroslaw Staron\n\n\n\n\n\n  \nOriginal location: Room Svea 130 at Chalmers Lindholmen
URL:https://wasp-sweden.org/event/2025-wasp-software-engineering-and-technology-cluster-workshop/
LOCATION:Chalmers University of Technology\, Chalmers University of Technology\, Göteborg\, Sweden
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20250901T130000
DTEND;TZID=+01:00:20250901T235900
DTSTAMP:20260601T135514
CREATED:20250818T104224Z
LAST-MODIFIED:20260601T083739Z
UID:10000087-1756731600-1756771140@wasp-sweden.org
SUMMARY:PhD Defense: Representations\, Retrieval\, and Evaluation in Knowledge-Intensive Natural Language Processing
DESCRIPTION:Welcome to the doctoral defense of Lovisa Hagström \nDate and time: September 1\, 13:00 \nLocation: HA2\, Hörsalsvägan 4\, Chalmers\, Gothenburg \nDoctoral student: Lovisa Hagström\, Data Science and AI \nTitle: Representations\, Retrieval\, and Evaluation in Knowledge-Intensive Natural Language Processing \nOriginal location: MC-salen\, Hörsalsvägen 5\, Chalmers\, Gothenburg
URL:https://wasp-sweden.org/event/phd-defense-representations-retrieval-and-evaluation-in-knowledge-intensive-natural-language-processing/
LOCATION:Chalmers University of Technology\, Chalmers University of Technology\, Göteborg\, Sweden
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20250829T131500
DTEND;TZID=+01:00:20250829T235900
DTSTAMP:20260601T135514
CREATED:20250826T110902Z
LAST-MODIFIED:20260601T083738Z
UID:10000083-1756473300-1756511940@wasp-sweden.org
SUMMARY:PhD Defense: Geometry and Symmetry in Deep Learning: From Mathematical Foundations to Vision Applications
DESCRIPTION:Welcome to the doctoral defense of Oscar Carlsson \nDate and time: August 29\, 13:15 \nLocation: Pascal\, Department of Mathematical Sciences\, Chalmers University of Technology \nDoctoral student: Oscar Carlsson \nTitle: Geometry and Symmetry in Deep Learning: From Mathematical Foundations to Vision Applications \nOriginal location: Pascal\, Hörsalsvägen 1\, Chalmers
URL:https://wasp-sweden.org/event/phd-defense-geometry-and-symmetry-in-deep-learning-from-mathematical-foundations-to-vision-applications/
LOCATION:Chalmers University of Technology\, Chalmers University of Technology\, Göteborg\, Sweden
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20250828T090000
DTEND;TZID=+01:00:20250828T235900
DTSTAMP:20260601T135514
CREATED:20250818T102522Z
LAST-MODIFIED:20260601T083739Z
UID:10000088-1756371600-1756425540@wasp-sweden.org
SUMMARY:PhD Defense: Interpretable Machine Learning for Prediction with Missing Values at Test Time
DESCRIPTION:Welcome to the doctoral defense of Lena Stempfle \nDate and time: August 28\, 9:00 \nLocation: Room EE (6233)\, EDIT Building\, Hörsalsvägen 11\, Chalmers\, Gothenburg \nDoctoral student: Lena Stempfle\, Data Science and AI 3 \nTitle: Interpretable Machine Learning for Prediction with Missing Values at Test Time \nOriginal location: Room EE (6233)\, EDIT Building\, Hörsalsvägen 11\, Chalmers\, Gothenburg
URL:https://wasp-sweden.org/event/phd-defense-interpretable-machine-learning-for-prediction-with-missing-values-at-test-time/
LOCATION:Chalmers University of Technology\, Chalmers University of Technology\, Göteborg\, Sweden
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20250827T090000
DTEND;TZID=+01:00:20250827T235900
DTSTAMP:20260601T135514
CREATED:20250818T102147Z
LAST-MODIFIED:20260601T083740Z
UID:10000089-1756285200-1756339140@wasp-sweden.org
SUMMARY:PhD Defense: Interpretable Machine Learning for Modeling\, Evaluating\, and Refining Clinical Decision-Making
DESCRIPTION:Welcome to the doctoral defense of Anton Matsson \nDate and time: August 27\, 9:00 \nLocation: HA2\, Hörsalsvägen 4\, Chalmers\, Gothenburg \nDoctoral student: Anton Matsson\, Data Science and AI 3 \nTitle: Interpretable Machine Learning for Modeling\, Evaluating\, and Refining Clinical Decision-Making \nOriginal location: HA2\, Hörselsvägen 4\, Chalmers\, Gothenburg
URL:https://wasp-sweden.org/event/phd-defense-interpretable-machine-learning-for-modeling-evaluating-and-refining-clinical-decision-making/
LOCATION:Chalmers University of Technology\, Chalmers University of Technology\, Göteborg\, Sweden
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20250617T100000
DTEND;TZID=+01:00:20250617T235900
DTSTAMP:20260601T135514
CREATED:20250526T084745Z
LAST-MODIFIED:20260601T083742Z
UID:10000096-1750154400-1750204740@wasp-sweden.org
SUMMARY:PhD Defense: On Semi-Supervised Learning: Evaluation\, Challenges and Mitigation Strategies
DESCRIPTION:Welcome to the doctoral defense of Teodor Fredriksson \nDate and time: June 17th\, 10:00 \nLocation: Chalmers Linholmen \nDoctoral student: Teodor Fredriksson\, Visiting Researcher\, Interaction Design and Software Engineering\, Computer Science and Engineering\, Chalmers \nTitle: On Semi-Supervised Learning: Evaluation\, Challenges and Mitigation Strategies \nOriginal location: Chalmers Linholmen
URL:https://wasp-sweden.org/event/phd-defense-on-semi-supervised-learning-evaluation-challenges-and-mitigation-strategies/
LOCATION:Chalmers University of Technology\, Chalmers University of Technology\, Göteborg\, Sweden
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20250526T100000
DTEND;TZID=+01:00:20250526T235900
DTSTAMP:20260601T135514
CREATED:20250507T070956Z
LAST-MODIFIED:20260601T083745Z
UID:10000104-1748253600-1748303940@wasp-sweden.org
SUMMARY:PhD Defense: Pensieve Perception: Uncertainty\, Language\, and Novel Views for Autonomous Driving
DESCRIPTION:Welcome to the doctoral defense of Georg Hess \nDate and time: May 26th\, 13:00 \nLocation: ED\, Hörsalsvägen 11\, Chalmers University\, Gothenburg \nDoctoral student: Georg Hess\, industrial PhD student\, Signal Processing and Biomedical Engineering\, Electrical Engineering\, Chalmers and Zenseact \nTitle: Pensieve Perception: Uncertainty\, Language\, and Novel Views for Autonomous Driving \nOriginal location: ED\, Hörsalsvägen 11\, Chalmers University\, Gothenburg
URL:https://wasp-sweden.org/event/phd-defense-pensieve-perception-uncertainty-language-and-novel-views-for-autonomous-driving/
LOCATION:Chalmers University of Technology\, Chalmers University of Technology\, Göteborg\, Sweden
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20250516T093000
DTEND;TZID=+01:00:20250516T235900
DTSTAMP:20260601T135514
CREATED:20250422T114518Z
LAST-MODIFIED:20260601T083749Z
UID:10000114-1747387800-1747439940@wasp-sweden.org
SUMMARY:PhD Defense: Geometric Numerical Methods: From Random Fields to Shape Matching
DESCRIPTION:Welcome to the doctoral defense of Erik Jansson \nDate and time: May 16th\, 9:30 \nLocation: Pascal\, Chalmers\, Gothenburg \nDoctoral student: Erik Jansson\, Doctoral Student\, Applied Mathematics and Statistics\, Mathematical Sciences\, Chalmers \nTitle: Geometric Numerical Methods: From Random Fields to Shape Matching \nOriginal location: Pascal\, Chalmers
URL:https://wasp-sweden.org/event/phd-defense-geometric-numerical-methods-from-random-fields-to-shape-matching/
LOCATION:Chalmers University of Technology\, Chalmers University of Technology\, Göteborg\, Sweden
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20250313T140000
DTEND;TZID=+01:00:20250313T235900
DTSTAMP:20260601T135514
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20241202T130000
DTEND;TZID=+01:00:20241202T235900
DTSTAMP:20260601T135514
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20240926T130000
DTEND;TZID=+01:00:20240926T235900
DTSTAMP:20260601T135514
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20240823T150000
DTEND;TZID=+01:00:20240823T235900
DTSTAMP:20260601T135514
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20240412T100000
DTEND;TZID=+01:00:20240412T235900
DTSTAMP:20260601T135514
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20240408T100000
DTEND;TZID=+01:00:20240408T235900
DTSTAMP:20260601T135514
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20240202T131500
DTEND;TZID=+01:00:20240202T235900
DTSTAMP:20260601T135514
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=+01:00:20231020T100000
DTEND;TZID=+01:00:20231020T235900
DTSTAMP:20260601T135514
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
END:VEVENT
END:VCALENDAR