MUCCA - A 4 year saga summary

28 May 2025, 09:00 → 30 May 2025, 13:00 Europe/Sofia

TBD (Faculty of Physics, Sofia University)

MUCCA (Multi-disciplinary Use Cases for Convergent new Approaches to AI explainability) is a CHIST-ERA CHIST-ERA-19-XAI-009 project to explore multidisciplinary use-cases in which explainable AI plays a crucial role, and to highlight weaknesses of the available explainable AI methods.

The closing meeting will focus on the project finalization and future prospects. The meeting is organized with the partial support of the Faculty of Physics, Sofia University and the Bulgarian National Science Fund under contract KP-06-DО02/4 from 15.12.2020 

Meeting poster

Wednesday 28 May

Arrival and registration

Coffee break

Afternoon session

1 MUCCA project: towards completion

Speaker: Stefano Giagu (Sapienza Università di Roma and INFN Roma (IT))

2 Discussion

Afternoon session

3 MUCCA summary paper preparation

Speaker: Simone Scardapane (Sapienza University of Rome)

4 Paper discussion

Thursday 29 May

Morning session

5 WP 1 report: explainable AI in High Energy Physics data analysis

Speaker: Monica D'Onofrio (University of Liverpool (GB))

WP1_MUCCAMeeting_May2025.pdf

WP1_MUCCAMeeting_May2025.pptx

6 WP 2 report: explainable AI in calorimeter reconstruction

Speaker: Kalina Dimitrova (University of Sofia - St. Kliment Ohridski (BG))

250528_MUCCAFinalMeeting_KDimitrova.pdf

7 WP 3 report: explainable AI in real-time HEP applications

Speaker: Stefano Giagu (Sapienza Università di Roma and INFN Roma (IT))

MUCCA_WP3_29.5.2025.pdf

Coffee break

Morning session

8 WP 4 report: explainable AI in medical imaging

Speaker: Cecilia Voena (Sapienza Universita e INFN, Roma I (IT))

WP4-Final-Jun25.pdf

9 WP 5 report: Descriptors for xAI algorithms to characterize the fluid dynamics in presence of interfaces.

Speaker: Corneliu Balan

MUCCA Sofia 2025 - UPB presentation.pdf

10 WP 5: Diagnosing lungs

Speaker: Simone Melchionnna

11 WP 6 report: explainable AI to improve analysis and modelling in neuroscience

13:00 Lunch

Afternoon session

12 Applications of ML methods for calorimeter data reconstruction

Speaker: Ruslan Nastaev

MUCCA_rus.odp

MUCCA_rus.pdf

13 Beam parameters from incomplete data: measuring profiles with pixel detectors

Speakers: Svetoslav Ivanov (SOFIA UNIVERSITY ST. KLIMENT OHRIDSKI), Simeon Ivanov

svv_AI.pdf

14 Understanding combustion through ML

Speaker: Peicho Petkov (University of Sofia - St. Kliment Ohridski (BG))

Coffee break

Afternoon session

15 Open discussion, including colleagues applying ML methods at Faculty of Physics, Sofia University

Social dinner

The social dinner will take place at "Izbata Tavern 2", 1 Racho Dimchev str.
https://maps.app.goo.gl/rFcj8Ar3dhtAHwRm7

Friday 30 May

Morning session

Coffee break

Morning session