Dr. Galina Brychkova | ARC Hub for ICT

Dr. Galina Brychkova (Ryan Institute, University of Galway) is a highly skilled senior scientist working across disciplinary boundaries to develop novel disruptive technologies (e.g. AI and machine learning, IoT, 3D printing, app development, etc.). Dr. Brychkova holds a joint BSc and MSc in Genetics & Biotechnology, Diploma with distinction from The Belarusian State University’s Department of Genetics and Biotechnology. She completed her Ph.D. in Plant Genetics (Diploma with distinction) at the National Academy of Sciences of Belarus & John Innes Centre, UK. Dr. Brychkova’s core academic background in advanced plant biology is complemented by extensive experience and training in entrepreneurship, including completion of the TIDA/SFI Get Started Technology Venture Programme by DCU Ryan Academy for Entrepreneurship and Science Foundation Ireland (now Research Ireland).

Last updated: 2 October 2026

Research Themes: Sustainability & Environmental Management

Research Programmes

AgriFuTech

An AI genomic prediction engine that learns directly from complex, noisy datasets to deliver reliable trait predictions across crops and environments.

AI-Sprayer

A chemical-free precision weeding, fertigation and irrigation platform for organic farms, using computer vision to target hot water at individual weeds.

Climate Parametric Risk Solution (CPRS)

Climate Parametric Risk Solution (CPRS)

Parametric climate risk products for agriculture and renewable energy, helping farmers, lenders and operators manage weather-driven revenue volatility.

ColdChain

A low-cost, disposable RFID tag that signals remotely if frozen goods rise above zero, enabling continuous cold-chain monitoring across the supply chain.

EleVate

An EV fleet battery platform using real-time vehicle data and AI to extend battery life, cut maintenance costs and improve fleet reliability.

FLUX

Predicts the energy a computing workload will use before it runs, helping data centres cut costs, reduce emissions and meet EU reporting rules.

IBSO

The Irish Building Stock Observatory links building performance with social, economic and financial data so retrofit investment can be targeted with evidence.

OptiSIFT

Certifies metal powder oxidation at the point of use in additive manufacturing, replacing destructive lab tests that take three to five days.

PRIOR

Detects combustion drift, fouling and steam trap failure in SME thermal plants, recovering fuel losses of €14,000–€25,000 a year without costly sensors.

Road AI

Automatically assesses road surface condition from imagery using computer vision, replacing slow manual inspection of defects such as potholes.

TrueFrame

Predicts optimal AV1 encoder settings in a single pass, removing the repeated trial encodes that drive up cloud costs and energy use.

Wingsense

Low-cost Doppler radar sensors that identify and count flying pollinators non-invasively, bringing biodiversity monitoring into environmental IoT networks.