Name: AI at CERN and SKA
Start: 2018-09-17T10:00:00+01:00
End: 2018-09-18T22:50:00+01:00
Location: Alan Turing Institute, London

AI at CERN and SKA

from Monday 17 September 2018 (10:00) to Tuesday 18 September 2018 (22:50)
Alan Turing Institute, London

: Sessions

: Talks

: Breaks

17 Sept 2018

18 Sept 2018

10:00	Day 1 (until 13:00)
10:00	opening words - Dr Braam Peter
10:05	Partnering with industry for machine learning at HL-LHC - Dr Maria Girone (CTO CERN OpenLab)
10:35	Emerging Use of DNNs - Mr Stephen Pawlowski (VP of Advanced Computing Solutions, Micron)
11:05	Learning Deep Generative Models of Graphs - Dr Yujia Li (DeepMind)
11:35	--- Coffee Break ---
11:50	Infrastructure for ML panel

10:00	Day 2 (until 13:00)
10:00	ML and AI challenges in current and future optical and near infra imaging datasets - Prof. Richard McMahon
10:30	Optical transient surveys of today and tomorrow : machine learning applications - Prof. Stephen Smartt
10:50	Accelerating science by re-purposing machine learning software - Dr Bojan Nikolic
11:10	AstroStatistics and AstroInformatics in the content of the SKA and LSST - Prof. Jason McEwen (Astrophysics & Cosmology at Mullard Space Science Laboratory, University College London)
11:30	How to train taggers on data - Dr Jennifer Thompson
11:45	Coffee Break
12:00	Panel: ML Specific to Astro Physics

13:00	--- lunch ---
14:00	Day 1 (until 18:00)
14:00	Deep Learning for Science: Opening the Pandora Box - Dr Shirley Ho
14:30	Two computing challenges for particle physics : the tracking challenge and event simulation with Generative Adversarial Networks - Dr David Rousseau
15:00	--- Coffee Break ---
15:15	Too much of a good thing : how to drink new physics from a 40 Tb/s firehose - Dr Vladimir "Vava" Gligorov
15:45	Deep Learning for the future of the Large Hadron Collider - Dr Maurizio Pierini
16:15	--- Coffee Break ---
16:45	Panel: ML Specific to HEP
18:00	--- Reception at The Alan Turing Institute ---
19:30	--- Speaker and Organizer Dinner ---

13:00	--- lunch ---
14:00	Day 2 (until 18:00)
14:00	Removing Clutter - Killing Dimension - Prof. Terry Lyons FLSW FRSE FRS
14:30	Direct optimisation of the discovery significance when training neural networks to search for new physics in particle colliders - Dr Adam Elwood
14:45	Radio Galaxy Classification with Deep Learning - Ms Vesna Lukic (PhD candidate University of Hamburg)
15:00	Learning the solution to SDEs using rough paths theory and machine learning - Dr Hao Ni (Senior Lecturer in Financial Mathematics at UCL and the Turing Fellow at The Alan Turing Institute )
15:15	--- Coffee Break ---
15:30	Networked data-science for research, academic communities and beyond - Dr Andrey Ustyuzhanin
16:00	Building Search Pipelines and Labelled Datasets for Transient Discovery - Dr Griffin Foster (University of Oxford, University of California at Berkeley)
16:15	Time-domain Machine Learning - Opportunities and Challenges for the SKA - Dr Robert Lyon
16:45	--- Coffee Break ---
17:00	Panel: Areas for Possible Collaboration

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