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

14:00 → 15:30 Arrival and registration

15:30 → 16:00 Coffee break

16:00 → 17:30 Afternoon session

16:00 MUCCA project: towards completion

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

17:00 Discussion

17:30 → 19:00 Afternoon session

17:30 MUCCA summary paper preparation

Speaker: Simone Scardapane (Sapienza University of Rome)

18:30 Paper discussion

Thursday 29 May

09:00 → 10:30 Morning session

09:00 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

09:30 WP 2 report: explainable AI in calorimeter reconstruction

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

250528_MUCCAFinalMeeting_KDimitrova.pdf

10:00 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

10:30 → 11:00 Coffee break

11:00 → 13:00 Morning session

11:00 WP 4 report: explainable AI in medical imaging

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

WP4-Final-Jun25.pdf

11:30 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

12:00 WP 5: Diagnosing lungs

Speaker: Simone Melchionnna

12:30 WP 6 report: explainable AI to improve analysis and modelling in neuroscience

13:00 → 14:00 Lunch

14:00 → 15:30 Afternoon session

14:00 Applications of ML methods for calorimeter data reconstruction

Speaker: Ruslan Nastaev

MUCCA_rus.odp

MUCCA_rus.pdf

14:30 Beam parameters from incomplete data: measuring profiles with pixel detectors

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

svv_AI.pdf

15:00 Understanding combustion through ML

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

15:30 → 16:00 Coffee break

16:00 → 17:30 Afternoon session

16:00 Open discussion, including colleagues applying ML methods at Faculty of Physics, Sofia University

19:30 → 21:30 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

09:00 → 10:30 Morning session

10:30 → 11:00 Coffee break

11:00 → 12:30 Morning session