Academic Profile


Raghavendra Selvan (Raghav) is currently an Assistant Professor (Tenure-track) at 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.

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.


  • 2024-02: Paper published in the Journal of Open Source Software (JOSS).
  • 2024-02: RS was featured in an article in the Danish magazine DM Digi talking about Climate-Aware AI.
  • 2024-02: RS was featured in an article in the Danish magazine Uddannelsebladet talking about the carbon footprint of AI.
  • 2024-02: RS co-organized the special track on Resource-Aware ML at D3A Conference, Nyborg.
  • 2024-01: RS will be teaching at the Geilo Winter School on Graphs and Applications.
  • 2023-12: RS was featured in an article in the Danish magazine Prosabladet talking about the climate impact of AI.
  • 2023-12: Papers on energy consumption-aware NAS and improved activation map quantization accepted to be presented at ICASSP-2024.
  • 20223-12: Machine Learning Section award for contributions to DEI, and green initiatives in 2023.
  • 2023-11: Paper accepted to be published in Journal of Chemical Science.
  • 2023-11: Paper accepted to be published in Journal of Imaging Neuroscience.
  • 2023-11: RS will be judging the AI for a Sustainable Future Hackathon
  • 2023-10: Two projects (6M DKK in total) funded as part of the Villum Synergy Grant with RS as a co-applicant
  • 2023-10: RS will chair the session on AI in Healthcare at the Nordic AI Meet-2023
  • 2023-09: Paper published in Limnology and Oceanography
  • 2023-08 Paper published in Nature Neuroscience
  • 2023-08 Paper accepted to be presented at the Resource Efficient Medical Image Analysis @MICCAI2023.
  • 2023-07: Contributed to a series of popular news articles in Børsen (Danish newspaper) on the carbon footprint of AI models.
  • 2023-06: RS has joined the Diversity, Equity and Inclusion network at UCPH
  • 2023-05: RS will be one of the coordinators of the Green Transition and AI thematic solution center at UCPH
  • 2023-04: Contributed to a popular news article in Süddeutsche Zeitung on the carbon footprint of large language models.