Bhaskar Dhariyal
Insight Centre for Data Analytics,
O'Brien Centre for Science,
University College Dublin, Ireland
I am a PhD candidate at the University College Dublin, conducting research on developing Scalable Classifiers for the Multivariate Time Series data advised by Prof. Georgiana Ifrim at the School of Computer Science. My work is supported by the Vistamilk SFI Research Centre, where I delve deeper into the applications of my research.
During my PhD studies, I had the opportunity to intern at AWS, work with the GluonTS team, and contribute to open-source libraries like Sktime and Aeon-toolkit, to further my experience in time-series analysis.
My prior educational experience includes a Master’s degree in Artificial Intelligence from the University of Hyderabad, where I conducted research under the supervision of Prof. Vadlamani Ravi. My master’s thesis focused on applying hybrid deep learning to sentiment analysis, which allowed me to strengthen my skills in the field of AI.
Before embarking on my PhD journey, I honed my practical skills in the field of machine learning through my tenure at ION Energy and HSBC in India.
Selected publications
- AALTD@ECMLBack to Basics: A Sanity Check on Modern Time Series Classification AlgorithmsIn Advanced Analytics and Learning on Temporal Data, ECML PKDD, 2023
- DMKDScalable classifier-agnostic channel selection for multivariate time series classificationData Mining and Knowledge Discovery, 2023
- AALTD@ECMLFast channel selection for scalable multivariate time series classificationIn Advanced Analytics and Learning on Temporal Data, ECML PKDD, 2021