BEAR Conference 2024 Agenda

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If you want to attend the BEAR Conference 2024, then please register via the BEAR Conference web page.

Day 1 – Tuesday 23rd April

TimeSpeakerTitle
09:30Coffees, Networking and Posters (Atrium)
10:00Day 1 Welcome (G35)
10:10Carol Sandys Head of ARCBEAR State of the Union
10:30Keynote: Neil AshtonHow HPC, ML and Cloud Computing are helping
to move towards a digital design process
for the automotive and aerospace industries
11:10Coffee Break (Atrium)
Session 1: CFD Session (G35)
11:30Chandan BoseCFD / OpenFOAM User Group
11:50Roberto Hart-VillamilOn the AI driven geometry optimisation
of a stirred tank CFD model in laminar flow
12:10Xue LianCoupled SPH-DEM method for simulating
coarse food particles in a non-Newtonian
conveying fluid
12:30Lunch Time (Atrium)
1:00Poster Session (Atrium)
Session 2: Short Presentations (G35)
14:00Kamilla Kopec-HardingR User Group
14:10Kamilla Kopec-HardingResearch Data Science Group
14:20Lu HaiFEM / Abaqus User Group
14:30Josephine BatesUsing data analytics to break down outcome
measures in liaison psychiatry
14:40William PeaceInvestigation of high gas flow rates on
hydrodynamics in two phase gas-liquid stirred
tanks using Positron Emission Particle Tracking (PEPT)
END

Day 2 – Wednesday 24th April

Time SpeakerTitle
09:30Coffees, Networking and Posters (Atrium)
10:00Day 2 Welcome (G35)
Session 3: DEM Session (G35)
10:10Keynote : Jack Sykes EvoPhase – A University of Birmingham Spin-Out
10:50Dominik WernerOptimising Mixing Processes with DEM: From
Problem Identification to Solution
11:40Daniel RhymerA world of pure imagination? Understanding the
dynamics of Vertical Stirred Mills within chocolate processing.
12:00Lunch Time + Posters (Atrium)
13:00Keynote : Dr Kit Windows-YuleAI-based optimisation of industrial processes and
process equipment
Session 4: Biological Presentations (G35)
13:40Andrew QuinnCHBH-on-BEAR: cluster computing for neuroimaging analysis
14:00Kirsty McCreadyDeconstructing the Ceratopteris genome
14:20Margarita SarantIn search of the big data benefit when predicting
language outcome after stroke using machine
learning
14:40Coffee Break (Atrium)
15:00Katherine Jeynes-CuppermobileRNA: A new tool for efficient analysis of RNA expression in multiple genomes
15:20Christopher MahonyRunx1 Is A Key Transcription Factor That Drives Synovial
Fibroblast Pathogenicity In Rheumatoid Arthritis
16:00Awards and Wrap-Up
16:30END