The PhD defence will be partially digital, in Kristen Nygaards sal (5370), Ole-Johan Dahls hus and streamed directly using Zoom. The host of the session will moderate the technicalities while the chair of the defence will moderate the disputation.
Ex auditorio questions: the chair of the defence will invite the attending audience at Kristen Nygaards sal to ask ex auditorio questions.
Trial lecture
"Can LLMs enhance software testing?”
Time and place: September 1, 2025 11:15 AM. Kristen Nygaards sal (5370), Ole-Johan Dahls hus/ Zoom
Main research findings
Knowledge graphs are a popular structure to store information for systems of artificial intelligence. The graphs are used by software applications for different purposes, especially in critical domains such as health care or robotics. Trust in the behavior of such applications is crucial. This thesis presents novel and effective methods to find errors in applications working with knowledge graphs. This provides researchers and developers in the area with new ways to test their applications. Thus, these methods can increase the trust in such applications and contribute to their wider adoption.
Adjudication committee
- Professor Ian Horrocks, University of Oxford, UK
- Professor Tao Yue, Beihang University, China
- Professor Arild Waaler, Department of Informatics, University of Oslo, Norway
Supervisors
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Professor Einar Broch Johnsen, University of Oslo, Norway
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Professor Michael Beetz, University of Bremen, Germany
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Assistant Professor Eduard Kamburjan, IT University of Copenhagen, Denmark
Chair of defence
- Professor Dag Langmyhr, Department of Informatics, University of Oslo
Contact information at Department: Pernille Adine Nordby