CERN openlab workshop on Machine Learning and Data Analytics
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Europe/Zurich
31/3-004 - IT Amphitheatre (CERN)
Description
During this workshop we will discuss future challenges in HEP on Data Analytics and Machine Learning with the aim of identifying potential areas of work for the next three-year phase of CERN openlab (phase VI). We will focus on requirements and needs from the HEP experiments and CERN groups.
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1
Welcome and Workshop Goals
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2
Anomaly Detection and Preemptive Maintenance in Industrial Control SystemsSpeaker: Filippo Maria Tilaro (CERN)
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3
Machine Learning in Data Quality MonitoringSpeaker: Virginia Azzolini (Massachusetts Inst. of Technology (US))
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4
Analytics for Infrastructure OptimisationsSpeaker: Dirk Duellmann (CERN)
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5
Discussion and Feedback from Industry
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10:50
Coffee break
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6
Machine Learning in SimulationSpeaker: Dr Sofia Vallecorsa (Gangneung-Wonju National University (KR))
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8
Discussion and Feedback from Industry
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12:25
Lunch break
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9
Machine Learning and Event Classification in triggerSpeaker: Vladimir Gligorov (Centre National de la Recherche Scientifique (FR))
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11
Deep Learning In low signal/background environmentsSpeaker: Michele Floris (CERN)
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12
Discussion and Feedback from industry
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15:15
Coffee break
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13
Data Analytics in Physics Data ReductionSpeaker: Oliver Gutsche (Fermi National Accelerator Lab. (US))
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14
Machine Learning in Medical ApplicationsSpeaker: Marco Manca (SCimPULSE foundation (NL))
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15
IT-DB Data Analytics services and evolutionSpeaker: Luca Canali (CERN)
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16
Discussion and Feedback from Industry
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1