Welcome to Our Research Group
We lead research in processing multiwavelength solar and space imagery, developing advanced visual computing and AI algorithms for applications such as space weather prediction and beyond.
Operational Credibility
ASAP integrated in real-time with NASA's CCMC Flares Scoreboard
Academic Excellence
ASAP rated 100% Internationally Excellent (3*) as REF2021 Impact Case study
Future-Focused
continuously advancing our methods with latest AI
Global Leadership
invited keynote addresses at major int. conferences
Live Solar Observatory
ASAP solar flare predictions![]() |
Last Space Weather data- Source: NOAA/SWPC![]() |
HMI Continuum Image from SDO![]() |
HMI Magnetogram Image from SDO![]() |
How our AI predicts solar flares
01
Solar imagery
SDO/HMI continuum & magnetogram images
02
Sunspot detection
Morphological image processing finds candidate regions
03
Classification
Neural networks assign McIntosh classes to each group
04
Machine learning
Trained on decades of flare & sunspot catalogues
05
Flare probability
Real-time C-, M- and X-class flare forecasts
Current Space Weather
Radio blackouts
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Radiation storm
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Geomagnetic storm
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Kp index
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R1–R2 blackout probability today (M-class flares): –
R3+ probability (X-class flares): –
Live data from NOAA Space Weather Prediction Center



