We hosts seminars, workshops and informal meetings

We host an informal seminar on most Fridays

Friday fun!

Simula UiB has an informal seminar on most Fridays. We meet in Wolf (our biggest meeting room) or digitally.

Join us by sending mail to Åsfrid (aasfrid@simula.no)!

Events

21.10.2022
 – 23.10.2022
Media City Bergen

CBCD event – conference & hackaton

Norges Bank, Simula UiB and the University of Bergen are organising a Central Bank Digital Currency (CBDC) event in Bergen, Norway, on 21-23 Oct 2022.
06.10.2022
1:00 pm
Simula UiB Office

Trial lecture: Fully homomorphic encryption

Trial lecture by Arne Tobias Ødegaard on Fully homomorphic encryption
30.09.2022
1:00 pm
Simula UiB Office

Friday seminar: Counting rational points on weighted projective spaces over number fields

Seminar by Irati Manterola Ayala (Simula UiB)
09.09.2022
3:00 pm
Simula UiB Office

PhD Defence: Albin Severinson

Title of the thesis: Straggler-Resilient Distributed Computing
20.05.2022
1:00 pm
Simula UiB Office

Friday seminar: Key Exchange for Unmanned Systems Multidomain Interoperability

Seminar by Chris Britt and Andre Leon (Dr. Hales students)
13.05.2022
1:00 pm
Simula UiB Office

Friday seminar: An Investigation of Post-Quantum Hybrids

Seminar by Dr. Britta Hale. Join us by pressing the link.
03.05.2022
4:15 pm
Integrerbar

Simula UiB’s math olympiad!

Are you into math and/or cyber security in general? Join us at our math olympiad! There will be pizza and prizes and an opportunity for you to hear more about how math can lead to cryptography and information theory.
29.04.2022
1:00 pm
Simula UiB Office

Trial Lecture: Centralized Versus Decentralized Learning

Trial lecture by Albin Severinson on Centralized Versus Decentralized Learning: Pros and Cons
11.03.2022
10:15 am
Store auditoriet

PhD Defence: Martha Norberg Hovd

Title of thesis: "Studies on the Security of Selected Advanced Asymmetric Cryptographic Primitives"
14.02.2022
11:00 am
Simula UiB Office

Trial Lecture: Deep Learning in Side Channel Analysis

Trial lecture by Martha Norberg Hovd on Deep Learning in Side Channel Analysis.
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