7 Dec - Abhilash Muralidharan Nair (REALTEK)

Av Berit Hauger Lindstad

PhD degree – Trial Lecture and Public Defence
Abhilash Muralidharan Nair, Faculty of Science and Technology (REALTEK) will defend his PhD thesis "Innovative Surveillance and Process Control in Water Resource Recovery Facilities" on 27 November and 7 December 2020.

Norwegian title of thesis:
"Innovativ overvåking og prosesskontroll i avløpsrenseanlegg"

Prescribed subject of the trial lecture:
"The applicability of digital twins in water operations"

Time and place for the trial lecture:
 (NOTE on 27 Nov, at 9:00: DUE TO UNFORTUNATE EVENTS, THE PUBLIC DEFENCE IS POSTPONED. NEW TIME ANNOUNCED BELOW):
Friday 27 November 2020

10:15 Trial lecture

Time and place for the public defence
 Monday 7 December 2020
 at 14:00

Place: Zoom

Evaluation committee:
First opponent: Professor Emeritus Gustaf Olsson, Lund University, Sweden
Second opponent: Professor Rune Bakke, University of South-Eastern Norway, Norway
Committee coordinator: Associate Professor Zakhar Maletskyi, REALTEK, NMBU

Supervisors:
Main supervisor: Professor Harsha Ratnaweera, REALTEK, NMBU
Co-supervisors: Professor Lars John Hem, REALTEK, NMBU
Professor Finn Aakre Haugen, University of South-Eastern Norway, Norway

This public defence will be held 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 defence to run without interruptions and noise.

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 2020:68, ISSN: 1894-6402, ISBN 978-82-575-1735-9

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