In this case study we talk to Emily Allman, MEng Chemical Engineering undergraduate student, who looked into the efficiency of Resonant Acoustic Mixers (RAM) using BlueBEAR, for her final-year research project. Emily presented her paper at the recent BEAR PGR Conference 2025. I am a final-year MEng Chemical Engineering student at the University of Birmingham. For … Continue reading “Shaking up mixing: optimising mixing using BlueBEAR”
Category: User case study RDS
Extracting tender information with BlueBEAR: tackling complex documents with NLP and image processing
In this case study we talk to Asim Abbas, PhD Researcher in Artificial Intelligence (School of Computer Science), who is using BlueBEAR to extract structured information from unstructured and ambiguous tender documents. My research focuses on extracting structured information from unstructured and ambiguous tender documents, whereas these documents present distinctive processing challenges due to their … Continue reading “Extracting tender information with BlueBEAR: tackling complex documents with NLP and image processing”
RNA sequencing analysis made easy with BEAR
In this case study we talk to Jonny Lewis (researcher in Inflammation and Ageing) about how BEAR helps in understanding changes in the cells lining blood vessels when blood flow is not linear and smooth – altering what they release and communicate with. The sound of a computer, working at its limit, the fan desperately … Continue reading “RNA sequencing analysis made easy with BEAR”
Extraction and Analysis of Hydrological Spatial Data
In this case study, we hear from Chenlu Yang, a PhD student in the School of Geography, who has been leveraging BEAR (Birmingham Environment for Academic Research) to study flood behavior and hydrological extremes My research focuses on analyzing trends in flood behavior and hydrological extremes across the UK using high-resolution gridded datasets and long-term … Continue reading “Extraction and Analysis of Hydrological Spatial Data”
Unlocking the power of BlueBEAR for social science research
In this case study, we hear from Shuyu Li (based in the Department of Economics), who has been utilising BEAR for tackling complex environmental economics problems. As a PhD student in Environmental Economics at the University of Birmingham, I’ve always been fascinated by the ways in which cutting-edge technology can unlock new avenues for research. My work … Continue reading “Unlocking the power of BlueBEAR for social science research”
Studying battery materials using high performance cluster BlueBEAR
In this case study, we hear from Sandeep Das (based at the School of Chemistry), who has been utilising BEAR to design novel Li-ion battery materials. I am a postdoctoral researcher and computational chemist in the Scanlon Materials Theory Group based at the School of Chemistry, University of Birmingham. My research is currently focussed on … Continue reading “Studying battery materials using high performance cluster BlueBEAR”
Investigating the brain with BEAR
In this case study, we hear from Brandon Ingram (based at the School of Psychology), who has been utilising BEAR to deepen their understanding of the mechanisms our brains employ to interpret visual stimuli. My research focuses on integrating electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) to gain a more comprehensive understanding of how … Continue reading “Investigating the brain with BEAR”
Studying stars across the Milky Way with BEAR
In this case study, we hear from Amalie Stokholm (based at the School of Physics and Astronomy), who has been using stars to gain insights into the history of our Galaxy using the high-performance cluster BlueBEAR and the Research Data Store, both housed at the University of Birmingham. My name is Amalie Stokholm. I am … Continue reading “Studying stars across the Milky Way with BEAR”
Predicting residual stresses in additive manufacturing using the high-performance cluster BlueBEAR
In this case study, we hear from Vincenzo Brachetta (School of Metallurgy and Materials), who has been working on prediction of residual stresses in materials science using the high-performance cluster BlueBEAR and the Research Data Storage, both housed at the University of Birmingham. He is also a member of the Birmingham Environment for Academic Research … Continue reading “Predicting residual stresses in additive manufacturing using the high-performance cluster BlueBEAR”
Using BlueBEAR to predict the wind characteristics around high-rise buildings
In this case study we hear from Jose Romero, a PhD student in Civil Engineering, who has been using BlueBEAR to predict wind characteristics around high-rise buildings. You probably don’t realise it, but wind is probably influencing your actions on a daily basis! It may be that you choose to grab a coat before leaving … Continue reading “Using BlueBEAR to predict the wind characteristics around high-rise buildings”