Bhaskar Dhariyal

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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

  1. AALTD@ECML
    Back to Basics: A Sanity Check on Modern Time Series Classification Algorithms
    Bhaskar Dhariyal, Thach Le Nguyen, and Georgiana Ifrim
    In Advanced Analytics and Learning on Temporal Data, ECML PKDD, 2023
  2. DMKD
    Scalable classifier-agnostic channel selection for multivariate time series classification
    Bhaskar Dhariyal, Thach Le Nguyen, and Georgiana Ifrim
    Data Mining and Knowledge Discovery, 2023
  3. AALTD@ECML
    Fast channel selection for scalable multivariate time series classification
    Bhaskar Dhariyal, Thach Le Nguyen, and Georgiana Ifrim
    In Advanced Analytics and Learning on Temporal Data, ECML PKDD, 2021