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.
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Research Themes:
Digital Infrastructure
Research Programmes
6GOrch
Optimises how 6G networks allocate computing resources at the edge, so demanding services like autonomous vehicles run reliably on constrained hardware.
EAComm
High-bandwidth optical neuromorphic AI chips that cut the electricity and water data centres consume to run rapidly growing AI workloads.
EURVISTA
An EU policy intelligence platform with a natural language interface, giving public affairs teams strategic insight into positions and stakeholder networks.
