Ananth Mahadevan

Ananth Mahadevan

Machine Learning PhD Student

University of Helsinki


I am a PhD student in the Department of Computer Science at the University of Helsinki. I am supervised by Associate Professor Michael Mathioudakis from the Algorithmic Data Science group. My PhD topic is on “Maintaining and Scaling Machine Learning Pipelines”.

  • Systems for Machine Learning
  • Machine Unlearning
  • Graphs and Networks
  • MSc (Technology) in Machine Learning, Data Science and Artificial Intelligence, 2020

    Aalto University, Finland

  • BEng in Computer Science & Engineering, 2018

    R.V. College of Engineering, India


(2024). Cost-aware Retraining for Machine Learning. KBS.

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(2024). Optimizing a Data Science System for Text Reuse Analysis. Arxiv.

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(2023). A Comparative text similarity analysis of the works of Bernard Mandeville. Digital Enlightenment Studies.

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(2023). Reception Reader: Exploring Text Reuse in Early Modern British Publications. JOHD.

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(2022). Robustness of Sketched Linear Classifiers to Adversarial Attacks. CIKM.

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(2022). Scalably Using Node Attributes and Graph Structure for Node Classification. Entropy.

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(2022). Certifiable Unlearning Pipelines for Logistic Regression: An Experimental Study. Machine Learning and Knowledge Extraction.

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(2022). Provable randomized rounding for minimum-similarity diversification. In DAMI.

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