Georgiana Ifrim

Dr. Georgiana Ifrim is an Associate Professor at the School of Computer Science, University College Dublin, where she serves as Director of Graduate Research and Co-Lead of the SFI Centre for Research Training in Machine Learning (ML-Labs). She holds concurrent appointments as an SFI Funded Investigator at the Insight Centre for Data Analytics and VistaMilk SFI Research Centre. Her academic journey includes postdoctoral research at Insight Centre, Cork Constraint Computation Centre (4C), and Aarhus University's Bioinformatics Research Centre (BiRC).

Education:

• BSc in Computer Science, University of Bucharest, Romania
• MSc and PhD in Informatics, Max-Planck Institute for Informatics, Germany

Dr. Ifrim specializes in scalable predictive modeling for diverse applications including:

• Sequence learning (DNA analysis, time series)
• Real-time prediction for streaming data (news/social media, energy)
• Interpretable machine learning models
• Knowledge graph exploitation (WordNet/Yago, Naga)
• Wearable sensor data analysis (sports science, health monitoring)
• Energy price forecasting for sustainable systems

Her recent publications focus on time series explainability (TSHAP, tsCaptum), multivariate analysis (scalable channel selection), and healthcare applications (fall detection, walking speed estimation). Key contributions include open-source tools like SEQL (sequence learner) and Twitter-Topics (event detection).

Scientific Awards:

• Winner of SNOW@WWW14 Data Challenge

As Director of Graduate Research, she oversees advanced academic training while leading funded projects at the intersection of machine learning, real-time analytics, and domain-specific applications in agriculture, healthcare, and digital journalism. Her research group maintains active GitHub repositories with open-source implementations.