Raghav{endra Selvan}

Raghav{endra Selvan}

Assistant Professor (TT) @ Machine Learning Section, University of Copenhagen. ELLIS Member.

Bio

Raghavendra Selvan (Raghav) is currently an Assistant Professor (Tenure-track) at the Machine Learning Section, Department of Computer Science, University of Copenhagen. His research spans sustainable machine learning, machine learning for sciences, medical image analysis, and graph neural networks. He holds a PhD from the University of Copenhagen and is affiliated with Pioneer Center for AI (Denmark) and the pan-European AI network ELLIS. Raghav was born in Bangalore, India. RS is the author of the new book “Sustainable AI”.

Book Available Now!

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RS published a book Sustainable AI. Check out the webpage for the book here.

Events

We are organizing the first P1 Program on Green AI Workshop on 8 May, 2026. See program and sign up here.

Hiring

If you are interested in joining our team check out the open positions advertised on UCPH Job Portal. And if no positions are currently being advertised by me, feel free to reach out with a short email about what you are interested in and how the projects in my team might be of interest to you. The latter also holds for visiting researchers, and prospective thesis students (enrolled at UCPH).

News

  • 2026-05: Paper accepted to be presented at ICML, 2026.
  • 2026-05: Paper accepted to be presented at ICML, 2026.
  • 2026-04: Paper accepted to be presented at ACM FAccT, 2026.
  • 2026-04: Paper accepted to Transactions on Machine Learning Research (TMLR).
  • 2026-02: Saints Lab is organizing SAINTS’26 on 6 March, 2026. See program and sign up here.
  • 2026-01: Comment article published accepted at Nature Reviews Nephrology.
  • 2025-12: Paper accepted to Transactions on Machine Learning Research (TMLR).
  • 2025-11: Sustainable AI now published, and available online.
  • 2025-11: RS has been recognised at the Department of CS, UCPH for “For sustained excellence in teaching, research and organizational contribution” in 2025.
  • 2025-11: RS has been recognised as an “Outstanding Area Chair” at NLDL-2026.
  • 2025-07: RS will be part of the AIM@Cancer project contributing with workpackage on resource-efficient ML for radiotherapy applications.