Computational Modelling Group

Pandas

Pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language.

Pandas is one of the big data analytics tools, in particular for the Python community.

For queries about this topic, contact Hans Fangohr.

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Projects

Centre for Doctoral Training in Next Generation Computational Modelling

Hans Fangohr, Ian Hawke, Peter Horak (Investigators), Susanne Ufermann Fangohr, Thorsten Wittemeier, Kieran Selvon, Alvaro Perez-Diaz, David Lusher, Ashley Setter, Emanuele Zappia, Hossam Ragheb, Ryan Pepper, Stephen Gow, Jan Kamenik, Paul Chambers, Robert Entwistle, Rory Brown, Joshua Greenhalgh, James Harrison, Jonathon Waters, Ioannis Begleris, Craig Rafter

The £10million Centre for Doctoral Training was launched in November 2013 and is jointly funded by EPSRC, the University of Southampton, and its partners.

The NGCM brings together world-class simulation modelling research activities from across the University of Southampton and hosts a 4-year doctoral training programme that is the first of its kind in the UK.

Colonising Polynesia; Uncertain sailing craft route modelling

Thomas Dickson (Investigator), David Sear

Through developing a novel methodology of modelling sailing craft routing it is possible to investigate archaeological problems as well as applications to modern yacht racing and autonomous sailing technology. This research uses iridis to provide accurate and fast analysis of shortest path routes for sailing craft in order to provide insight and improve safety of operation.

Data Science and HPC

Are Data science and HPC really different fields or are people just repackaging old ideas with new words.

Mathematical tools for analysis of genome function, linkage disequilibrium structure and disease gene prediction

Mahesan Niranjan, Andrew Collins, Reuben Pengelly (Investigators)

This iPhD project uses a Gaussian Bayesian Networks framework through Machine learning methods to predict which genes are involved in the development of different diseases.

Mathematical tools for analysis of genome function, linkage disequilibrium structure and disease gene prediction

Andrew Collins, Mahesan Niranjan, Reuben Pengelly (Investigators), Alejandra Vergara Lope

This iPhD project uses a Gaussian Bayesian Networks approaches framework through machine learning approach to predict which genes are involved in the development of different diseases.

Mathematical tools for analysis of genome function, linkage disequilibrium structure and disease gene prediction

Mahesan Niranjan, Andrew Collins, Reuben Pengelly (Investigators)

This PhD project uses a Monte Carlo molecular simulation processes approach to predict which genes are involved in the development of different diseases.

People

Andrew Collins
Professor, Medicine (FM)
Hans Fangohr
Professor, Engineering Sciences (FEE)
Mahesan Niranjan
Professor, Electronics and Computer Science (FPAS)
Peter Horak
Reader, Optoelectronics Research Centre
Reuben Pengelly
Senior Lecturer, Medicine (FM)
Ian Hawke
Lecturer, Mathematics (FSHS)
Jason Hilton
Research Fellow, Social Sciences (FSHS)
Thomas Kluyver
Research Fellow, Engineering Sciences (FEE)
Ioannis Begleris
Postgraduate Research Student, Engineering Sciences (FEE)
Rory Brown
Postgraduate Research Student, Civil Engineering & the Environment (FEE)
Paul Chambers
Postgraduate Research Student, Engineering Sciences (FEE)
Robert Entwistle
Postgraduate Research Student, Engineering Sciences (FEE)
Stephen Gow
Postgraduate Research Student, Engineering Sciences (FEE)
Joshua Greenhalgh
Postgraduate Research Student, Engineering Sciences (FEE)
James Harrison
Postgraduate Research Student, Engineering Sciences (FEE)
Harry L
Postgraduate Research Student, Biological Sciences (FNES)
David Lusher
Postgraduate Research Student, Engineering Sciences (FEE)
Alvaro Perez-Diaz
Postgraduate Research Student, Engineering Sciences (FEE)
Daniel Powell
Postgraduate Research Student, Engineering Sciences (FEE)
Craig Rafter
Postgraduate Research Student, Engineering Sciences (FEE)
Hossam Ragheb
Postgraduate Research Student, Engineering Sciences (FEE)
Kieran Selvon
Postgraduate Research Student, Engineering Sciences (FEE)
Ashley Setter
Postgraduate Research Student, Engineering Sciences (FEE)
Alejandra Vergara Lope
Postgraduate Research Student, Engineering Sciences (FEE)
Jonathon Waters
Postgraduate Research Student, Engineering Sciences (FEE)
Thorsten Wittemeier
Postgraduate Research Student, Engineering Sciences (FEE)
Emanuele Zappia
Postgraduate Research Student, Engineering Sciences (FEE)
Susanne Ufermann Fangohr
Administrative Staff, Civil Engineering & the Environment (FEE)
Jan Kamenik
Alumnus, University of Southampton
Marijan Beg
External Member, Imperial College London
Thomas Dickson
None, None
David Sear
None, None