Raghav{endra Selvan}

Raghav{endra Selvan}

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

Bio

Raghavendra Selvan (Raghav) is currently an Assistant Professor (Tenure-track) at the Machine Learning (ML) Section, Dept. of Computer Science, University of Copenhagen (UCPH). He is also affiliated the Data Science Laboratory at UCPH. His current research interests are broadly pertaining Resource Efficient ML, ML for Sciences, and Graph Neural Networks. Of late, another overarching theme of his research interests lie at the intersection of sustainability and ML where he is interested in investigating sustainability with ML, and also the sustainability of ML. RS has an upcoming book on these topics entitled Sustainable AI: Tools for Moving Towards Green AI (access early version here).

Raghav received his PhD in Medical Image Analysis (University of Copenhagen, 2018), his MSc degree in Communication Engineering in 2015 (Chalmers University, Sweden) and his Bachelor degree in Electronics and Communication Engineering degree in 2009 (BMS Institute of Technology, India). Raghavendra Selvan was born in Bangalore, India.

Hiring

Current openings:

  • PhD position to work on Sustainable ML (deadline 15th Jan. 2025, details)

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

  • 2024-11: Paper accepted as a spotlight to be presented at NeurIPS 2024.
  • 2024-11: RS was featured in Videnskab.dk talking about the pros and cons of AI when used to understand ecosystems.
  • 2024-11: Paper accepted to be presented at Northern Lights Deep Learning Conference, 2025.
  • 2024-10: RS was a panelist at Digital Tech Summit discussing the Energy consumption of AI.
  • 2024:10: RS was featured in an article in TV2 discussing why big AI companies are buying massive amounts of nuclear power.
  • 2024-09: RS was featured in an episode of Third Ear podcast.
  • 2024-09: RS was featured in an article in Videnskab.dk (Danish Pop. Sci. mag.) talking about AI for decoding signals from animals.
  • 2024-09: RS was featured in two articles on how AI companies are missing their sustainability goals. (1 2)
  • 2024-08: RS was featured in an article in the Danish Public Broadcaster DR on the energy consumption of generative AI.
  • 2024-08: Paper published in the Journal of Human Brain Mapping.
  • 2024-07: Paper accepted to be published in the Special Issue on Sustainability in Communications of ACM.
  • 2024-06: Paper published in Nature Communications.
  • 2024-06: RS was featured in an article in the Danish newspaper Berlingske about the increasing energy consumption of AI
  • 2024-06: Paper published in Science Advances.
  • 2024-05: Paper accepted to be presented at ACM KDD 2024.
  • 2024-05: Paper published in the Journal of Yeast.
  • 2024-04: Work presented at ICASSP was featured in videnskab.dk
  • 2024-04: RS will be co-chairing a session on ML for Signal Processing at ICASSP-2024
  • 2024-04: Press release for ICASSP-2024 paper on energy consumption aware NAS.
  • 2024-02: Paper published in the Journal of Open Source Software (JOSS).