PhD degree – Trial Lecture and Public Defence
Tuan Dung Le, Faculty of Science and Technology (REALTEK), will defend his PhD thesis "Fusion of a minimalistic set of sensors for mapping and localization of autonomous agricultural robotic systems" on 15 September 2020.
Norwegian title of thesis:
"Integrasjon av et minimalistisk sett av sensorer for kartlegging og lokalisering av landbruksroboter"
Prescribed subject of the trial lecture:
"Human-aware motion planning for autonomous systems"
Time and place for the trial lecture and the public defence:
Tuesday 15 Sept 2020 in room ALFA (TF1-101), Drøbakveien 31, NMBU, Ås.
09:15 Trial lecture
12:15 Public defence
Place: Zoom (hyperlink https://nmbu.zoom.us/j/61556654287?pwd=NFd3V2xNdm83dEpERUhIdmJTdzlBZz09)
Evaluation committee:
First opponent: Assistant Professor Ayse Kucukylim, University of Nottingham, UK
Second opponent: PhD Kjetil Bergh Ånonsen, Norwegian Defence Research Establishment (FFI), Norway
Committee coordinator: Associate Professor Oliver Tomic, REALTEK, NMBU
Supervisors:
Main supervisor: Professor Pål Johan From, REALTEK, NMBU
Co-supervisors: Professor Jon Glenn Omholt Gjevestad, REALTEK, NMBU
This public defence will be held partly in digital form since physical presence must be limited due to Covid-19. All are welcome to witness the digital defence, but please read and abide by the guidelines stated below. This is required for the defense to run without interruptions and noise.
A restricted number of people are allowed to be physically present during the trial lecture and defence.
Guidelines for attending the defence via Zoom:
You will first be placed in the waiting room. Please introduce yourself with your name and affiliation.
Put your microphone on mute and do not use your camera.
If anyone wishes to oppose Ex Auditorio, please ask your question in the chat before the 1st opponent finishes his or her opposition.
Testing of your own equipment is advised before attending.
The doctoral thesis is available for public review. If you want access to the thesis in pdf, please send an email to phd-realtek(at)nmbu.no
Thesis number 2020:48, ISSN: 1894-6402, ISBN 978-82-575-1714-4