Workshop 205
WORKSHOP 205 – BIG DATA ANALYTICS
27 - 29 June 2019
Directors
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)
Topics
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
Lecturers
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)
Program
| Thursday 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 |
| Lunch | |
| 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 | |
| Friday 28 June |
|
| 9.00-12.50 | Deep learning applications for collider physics M. Pierini |
| Lunch | |
| 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 | |
| Saturday 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 |
| Lunch |
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
davide.valsecchi@mib.infn.it
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.