[Unidistance-Fernuni Math and CS department Seminar]

Hosted by Unidistance

About the Seminar

[The department seminar] is a bi-weekly meeting. The goal is to share and discover the work of young colleagues in an informal setting. We strongly encourage speakers to present accessible talks, followed by discussions and exchange. Talks are 30 minutes long, followed by questions and discussions. The aim of this seminar is to share results of young researchers, and we welcome all contributions.

[When] We meet once every two weeks, on Wednesdays at 11:30am. Upcoming talks are announced below.

[Where] Talks are streamed online. You can attend via this Zoom link.

Upcoming talks

[Francesco Zerman] Unidistance 29/10/2025 from 11:30am to 12. A gentle introduction to the Birch and Swinnerton-Dyer conjecture and to some techniques that allowed to obtain partial results towards its proof.

[Tamas Dozsa] Unidistance 12/11/2025 from 11:30am to 12. Generalized operator-based Prony and Bernoulli methods.

[Simon Briend] Unidistance 26/11/2025 from 11:30am to 12. A gentle introduction to network archaeology.

[Luca Mastella] Unidistance 10/12/2025 from 11:30am to 12. An introduction to the Iwasawa theory.

Past talks

[Diletta Bartolini] Unidistance. 22/10/2025. Reproducing, through biologically plausible mathematical models, the phenomenon of neural adaptation.

[Art Pelling] TU Berlin. 15/10/2025. Adaptive reduced order modeling of acoustic LTI systems with input-output dead time.

[Francesco Concetti] Unidistance. 26/06/2025. The full replica symmetry breaking functional for Ising spin glass on random regular graph.

[Francisco Calvillo Marmaneu] UPF. 4/06/2025. Substractive random forests with two choices.

[Guillaume Blanc] EPFL. 08/01/2025. Invariant Poisson processes of lines/roads in the 3-regular tree.

[Francesco Concetti] Unidistance. 27/11/2024. Triviality of the Ising SK TAP energy up to the AT line

[Vladimir Fomichov] Unidistance. 13/11/2024. Coalescing and non-coalescing Brownian stochastic flows.

[Simon Briend] Unidistance. Inferring the past of random growing trees.