Fitria Wulandari Ramlan

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I completed my PhD in Artificial Intelligence at the School of Computer Science, University of Galway, Ireland, supervised by Dr. James McDermott and Dr. Colm O'Riordan. PhD research centres on interpretable regression modelling for interpolation and extrapolation, integrating uncertainty, optimisation, and model selection: using evolutionary optimisation (genetic programming) to build interpretable statistical models, quantifying and reducing predictive uncertainty/error when models are pushed beyond their training data, and systematically comparing statistical and information-theoretic model-selection criteria (AIC, BIC, MDL, PSM) to determine which model best generalises. Designed automated, reproducible evaluation pipelines benchmarking these methods across 20+ datasets. Applied this statistical modelling, uncertainty, and validation expertise to a real-world, policy-relevant system (ETSAP-TIAM, a global energy-system optimisation model used for long-term planning), including dataset management and model verification before deployment.

Beyond work, I find joy in exploring creative projects and sharing knowledge through my research!