Workshop 205

27 - 29 June 2019

Marco Paganoni - Università di Milano Bicocca and INFN (Italy)
Dimitri Visvikis - University of Brest and INSERM (France)

Scientific Secretary
Davide Valsecchi - Università di Milano Bicocca and INFN (Italy)

Artificial intelligence and machine learning: searching for the master algorithm
Big data analytics in high energy physics
Computing needs and solutions for next generation HEP experiments
Big data analytics in medical imaging
Radiomics and radiogenomics
Big data analytics in astrophysics
Machine learning in the dawning era of big astronomy

Carlton Baugh, Durham University (UK)
Tommaso Boccali - INFN Pisa (Italy)
Isabella Castiglioni - IBFM-CNR, Segrate MI (Italy)
Maurizio Pierini - CERN Meyrin (Switzerland)
Fabio Stella, - Università di Milano Bicocca (Italy)
Dimitris Visvikis - University of Brest and INSERM (France)
Sotiria Fotopoulou - Durham University (UK)


27 June
9.00-9.50 Big data and data science
F. Stella
9.50-10.40 Causal inference and the data-fusion problem
F. Stella
11.10-12.00   Definitions of radiomics features. The clinical role of radiomics.
Phantom to validate radiomic

I. Castiglioni
14.30-15.20 Stop pushing me around. A definition of scientific computing
in a compute and data intense era with some remarks
on the role of communication-avoiding algorithms

T. Weinzierl
15.20-16.10 Big Data in Astronomy
S. Fotopoulou
16.40-17.30 Measuring the distance to a galaxy – machine learning and
photometric redshifts
C. Baugh
17.30-18.20 Pitfalls and bad examples in radio(geno)mics studies,
existing guidelines and recommendations

M. Hatt
After-dinner get-toghether
28 June
9.00-12.50 Deep learning applications for collider physics
M. Pierini
14.30-16.10 Big Data in Astronomy – hands on
S. Fotopoulou, C. Baugh
16.40-17.30 Computational approaches for integrating genomics with radiomics.
Radiomic Tools

I. Castiglioni
17.30-18.20 Harmonization and normalization strategies for multicentric
radiomic studies

M. Hatt
Dinner party
29 June
9.00-10.40 BigData @ LHC: how much, what, how
T. Boccali
11.10-12.00 Machine (deep) learning for radiomics:
current results and perspectives

M. Hatt
12.00-12.50 How machine learning can help us simulate can help us
simulate the Universe
C. Baugh

NEW deadline for applications: 3 May 2019
Application form

Correspondence and application forms should be sent to:
Davide Valsecchi
Dipartimento di Fisica
Università di Milano Bicocca
Piazza della Scienza 3
20126 Milano (Italy)
Tel: +41-22-767 -2078

Arrival day: Wednesday, 26 June 2019
Opening of the Course: Thursday, 27 June 2019 - 9.00 a.m.
Closing of the Course: Saturday, 29 June 2019 - 12.30 p.m.
Participation fee: € 400,00 (VAT included) for registration, buffet lunch for 3 days, an after-dinner get-together the first evening of the Workshop, a dinner party the last evening and Proceedings.
A price list of partner hotels will be provided to the participants.