I am a final year Computer Science PhD student at the University College Dublin. My research interests lie in solving challenging spatio-temporal problems, using Machine and Deep Learning techniques such as Semantic Inference, Transfer Learning, Graph Neural Networks.

Recent News

• September 2020: Giving a virtal talk titled “On the Prospects and Challenges of Machine Learning for Street Networks” at the UCL AI Seminar Series.
• March 2020: Serving as a Program Committee member for ECML-PKDD’20.
• February 2020: Our paper titled “Exploring budgeted learning for data-driven semantic inference via urban functions” is accepted for publication in the IEEE Access Journal (Impact Factor: 4.098).
• February 2020: Giving a talk titled “Discriminative Machine Learning models for semantifying IoT Data” at PyCon Limerick, Limerick, Ireland.
• February 2020: Giving a Git and GitHub workshop at the Why R? Conference, Limerick, Ireland.
• December 2019: Poster Presentation at NeurIPS for paper titled “Robust representations for transfer learning on heterogeneous spatial graphs”, Vancouver, Canada.
• November 2019: Giving a talk titled “Confirmation Biases and Online Echo chambers: Why technologists should not stop talking about them” at GitHub Education Day, San Francisco, USA.
• September 2019: ECML-PKDD ML Summer School, Wurzburg, Germany.
• Summer 2019: Interning (AutoML) at IBM Research Dublin, Ireland.
• April 2019: Presenting our paper titled “A Transfer Learning paradigm for spatial networks” at SAC 2019 in Limassol, Cyprus.
• December 2018: Attending the NeurIPS Conference in Montreal, Canada.
• September 2018: Presenting at the Doctoral Forum, ECML-PKDD, Dublin.