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Time

10. Nov 2023
kl 10:15 - 23:00

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Registration deadline

No deadline specified

Disputation: Sven Opalic: Advanced Warehouse Energy Storage System Control Using Deep Supervised- and Reinforcement Learning

You may follow the disputation online. Link for registration as an online spectator at the bottom of this page.

Sven Opalic (photo)

Time

10 Nov
kl 10:15 - 23:00

Add to calendar

Registration deadline

No deadline specified

Sven Opalic will defend his PhD thesis Advanced Warehouse Energy Storage System Control Using Deep Supervised- and Reinforcement Learning

Sven Opalci has followed the PhD Programme at Faculty of Engineering and Science, scientific field of Renewable energy.

Trial lecture starts at 10.15

Public defence starts at 12.15

 

Title of trial lecture: Deep Reinforcement Learning: Core Concepts and (Industrial) Applications

Read the dissertation in AURA

See a summary of the thesis.

Disputation chair: Paul Ragnar Svennevig

 

Assessment committee:

  • First Opponent: Professor Kerstin Bach, NTNU
  • Second Opponent: Associate Professor Jayakrishnan Pillai
  • Chair of the assessment committee: Associate professor Nadia Noori, University of Agder

Supervisors in the doctoral work:

  • Main supervisor: Professor Mohan Lal Kolhe, University of Agder
  • Co-supervisor: Professor Morten Goodwin, University of Agder
  • Co-supervisor: Professor Henrik Kofoed Nielsen, University of Agder
  • Co-supervisor: Professor Lei Jiao, University of Agder

What to do as an online audience member:

The disputation is open to the public. To follow the trial lecture and the public defense online, register on Zoom.

We ask online audience members to join no earlier than 10 minutes in advance. After these times, you can leave and rejoin the meeting at any time.

Opponent ex auditorio:

Deadline for the public to pose questions is during the break between the two opponents. Questions ex auditorio can be submitted to Emma Horneman.