April 26, 2022 to August 2, 2022
Zoom Webinar
Europe/London timezone

The amount of digital data that exists in the world is growing at a rapid rate. Recent years have witnessed a dramatic increase of data in many fields of science and engineering, due to the advancement of sensors, mobile devices, biotechnology, digital communication, and internet applications. Data is generated continuously from multiple sources by companies, users and devices in a huge velocity, volume and variety.

Big data refers to data that is so large that it cannot be processed by using traditional applications. Although significant computer technology exists, new skills are needed to fully understand the power of Big Data. Targeted training in managing, analysing, and interpreting large, complex datasets and high rates of dataflow is provided by the Liverpool Big Data Science (LIV.DAT) Centre for Doctoral Training. The PhD students in the Centre are working on research projects that involve large datasets, from Astrophysics, nuclear and particle physics to accelerator science.

The LIV.DAT Virtual Seminar Series on Data Intensive Science will cover R&D outside of our centre’s core research areas and give an insight into cutting edge research in this area.

Prof Dr Carsten P Welsch, LIV.DAT Director

The Crystal Isometry Principle

Dr Vitaliy Kurlin
Reader in the Computer Science Department and Materials Innovation Factory, University of Liverpool

Tuesday 26 April 2022 at 14:00 BST

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How computers have changed science and predictions on how that will continue

Dr Joanna Leng
Senior Research Software Engineer, University of Leeds

Tuesday 10 May 2022 at 14:00 BST

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Physics-informed neural networks for solving Gray-Scott systems

Prof Salvatore Cuomo
Associate Professor of Numerical Analysis, University of Naples Federico II

Tuesday 14 June 2022 at 14:00 BST

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Robust Virtual Diagnostics for Accurate and Confident Beam Properties Prediction

Dr Adi Hanuka
Senior Software Engineer, Machine Learning, Eikon Therapeutics, CA, US

Tuesday 2 August 2022 at 17:15 BST

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Zoom Webinar

Participation is free of charge. Please register to receive connection details for these seminars.

The connection details will be sent out at the morning of the talks.

Registration for this event is currently open.