Dr. Felipe Quiroz | ARC Hub for ICT

Dr Felipe Quiroz is a Lecturer and Principal Investigator at the University of Galway, and Director of the MSc in AgriFood Sustainability and Technology. He holds a Bachelor’s degree in Engineering in Molecular Biotechnology and a PhD in Molecular Biotechnology from the University of Chile. His experience spans plant biotechnology, agrifood innovation, and applied R&D, combining scientific research with a strong focus on practical application, stakeholder engagement, and end-user value. A key strength of Dr Quiroz is his direct experience in research commercialisation. He led the FONDEF VIU14E049 project, a competitive programme focused on the valorisation of university research into market-oriented solutions, and received the University of Chile’s Patenting Incentive and Technology Transfer award

Last updated: 29 September 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.