Presage
A no-code fault detection platform that lets maintenance engineers deploy predictive AI without data science expertise or large training datasets.
Trinity College Dublin
Lead: Dr. Devesh Jawla
Digital Infrastructure
Dr. Jawla has a strong interdisciplinary background bridging artificial intelligence, physics, and real-world applications. They have successfully defended their PhD in Artificial Intelligence at Technological University Dublin, Ireland, and holds an MSc in Physics from Leipzig University, Germany. Their employment includes lecturing in Machine Learning and Deep Learning at Dublin Business School, where they also supervise MSc AI thesis students. As a Marie Skłodowska-Curie Actions (MSCA) Early Stage Researcher, they worked on Bayesian deep learning, anomaly detection, and human-AI collaboration in safety-critical scenarios. Their industry experience includes an ML/AI internship at InbestMe (Barcelona), developing reinforcement learning models for portfolio optimization, and a research internship at Forschungszentrum Jülich on energy time-series dimensionality reduction.
Last updated: 10 July 2026
Research themes
A no-code fault detection platform that lets maintenance engineers deploy predictive AI without data science expertise or large training datasets.
Trinity College Dublin
Lead: Dr. Devesh Jawla
Digital InfrastructureLet's discuss how The ARC Hub for ICT can help accelerate your digital transformation initiatives and bring your innovative ideas to life.