Latest Past Events

Optimization Seminar

Institute of Mathematics and Informatics, BAS Akad.G.Bonchev St, bl. 8, 1113, Sofia

On April 6, 2026 (Monday) at 2:15 p.m. in Room 478 of IMI-BAS, a joint meeting of The Seminar on Optimization (PMI) and the Seminar on Operations Research (IMI) will be held. A talk on Hausdorff characterizations of first countable T1 spaces via fixed point theorems will be delivered by Detelina Kamburova. Everybody is invited.

Algebra and Logic Seminar

Institute of Mathematics and Informatics, BAS Akad.G.Bonchev St, bl. 8, 1113, Sofia

The next meeting of the Algebra and Logic Seminar will take place on April 3, 2026 (Friday) at 1:00 pm (UTC+3) in online format via Zoom. A talk on: On Pairs of Non-commuting Hermitian Operators on the Unitary Plane which are Permutable Measurements will be delivered by Valentin Iliev (IMI-BAS). Abstract. In this presentation we study observables with spectre {-1,1} on quantum systems with the unitary plane as a space of states. Examples of such quantum systems are spin-1/2 particles. We find necessary and sufficient conditions for two non-commuting observables to be permutable measurements, that is, the probability of obtaining a particular pair of results does not depend on the order of taking these measurements. Several examples are presented. Link to the zoom meeting: https://us02web.zoom.us/j/88300991142?pwd=wGYl7VaD9RZKEm99sKzHMzl3bYCv3J.1 [...]

Seminar of the SofTIS Department

Institute of Mathematics and Informatics, BAS Akad.G.Bonchev St, bl. 8, 1113, Sofia

You are welcome to join the Scientific seminar of the Dept. Software Technologies and Information Systems on 31st March 2026, Tuesday, from 14.00 (UTC+02). The seminar will be in hybrid format: in 278 hall in the building of IMI-BAS and via ZOOM.  Assist.  Ventsislav Polimenov will give a talk, entitled: "ANNSIA - Adaptive Neural Network for Satellite Image Analysis". The talk will show an innovative approach to leaf area index estimation using a multi-sensor deep neural network that combines Sentinel-2 and Landsat 8/9 data. The study addresses two primary challenges, namely the absence of in-situ data for training and the substantial differences in spatial and spectral characteristics between the sensors. The model employs a Multi-Sensor U-Net with Conditional Batch Normalisation, enabling unified processing of heterogeneous [...]

Go to Top