Apart from a scientific semester programme CWI organizes mini-symposia, masterclasses, lectures with renowned speakers, hackathons and data challenges. Additionally, we organize and host other regular scientific meetings like reading groups, seminars, collaboration sessions and open-problem sessions. The format is flexible to meet the preferences of the participants.
Events
Find future and past events.
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Event types that you can find in this section:
StochMod 2026
3 jun 2026
from 9 a.m.
to
5 jun 2026
3 p.m.
| CWI, Sciencepark 123 and Amsterdam Science Park Congress Centre, Science Park 125
StochMod 2026 will be held at the Centrum Wiskunde & Informatica (CWI) in Amsterdam (NL) on 3-5 June 2026.
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Cryptology Seminar by Hengyi Luo
3 jun 2026
from 1:45 p.m.
to
3 jun 2026
3:15 p.m.
| CWI, room M290
Commitment Schemes Based on Module-LIP
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PhD defense - Galina Pass (A&C / QuSoft)
10 jun 2026
from 10 a.m.
to
10 jun 2026
11:30 a.m.
| Agnietenkapel, Oudezijds Voorburgwal229 - 231, Amsterdam
Galina Pass will defend the dissertation 'Quantum walks, recursion, and time-space tradeoffs for st-connectivity'.
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PhD Defence Lynn Engelberts (A&C / QuSoft)
17 jun 2026
from 11 a.m.
to
17 jun 2026
12:30 p.m.
| Aula (Lutherse kerk), Singel 411, Amsterdam
Classical and Quantum Cryptanalysis of Lattices and Codes
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Cryptology Seminar by Chris van Noorden
17 jun 2026
from 1:45 p.m.
to
17 jun 2026
3:15 p.m.
| CWI, room M290
Post-Quantum Anonymous Signatures from the Lattice Isomorphism Group Action
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Scientific Computing Seminar Taniya Kapoor (Wageningen University)
18 jun 2026
from 11 a.m.
to
18 jun 2026
noon
| CWI, room L120
Smart AI, Not Just Accurate AI: Towards Sustainable Scientific Machine Learning
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Deep Learning for Image processing
18 jun 2026
from 3 p.m.
to
18 jun 2026
5 p.m.
| room L016, CWI, Science Park 123
AI x Astro Seminar Series
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PhD defence Alex Chebykin (Evolutionary Intelligence)
23 jun 2026
from 12:30 p.m.
to
23 jun 2026
1:30 p.m.
| TU Delft - Aula Conference Centre (Mekelweg 5)
Efficient Evolutionary Hyperparameter Optimization for Deep Learning
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