Raghavendra Selvan

Raghavendra Selvan, an Assistant Professor (Tenure Track) at the University of Copenhagen, holds joint appointments in the Machine Learning Section (Department of Computer Science), Kiehn Lab (Department of Neuroscience), and the Data Science Laboratory. His academic journey includes a PhD in Medical Image Analysis (2018), MSc in Communication Engineering (2015), and BSc in Electronics and Communication Engineering (2009).

• PhD - Medical Image Analysis, University of Copenhagen (2018)
• MSc - Communication Engineering, Chalmers University (2015)
• BSc - Electronics and Communication Engineering, BMS Institute of Technology, India (2009)

His research focuses on Bayesian Machine Learning with emphasis on Medical Image Analysis, Graph-based Learning, Tensor Networks, Approximate Inference, and Multi-Object Tracking Theory. Recent publications highlight his contributions to environmentally sustainable AI practices, efficient deep learning in medical imaging, and novel applications of tensor networks.

Key research areas:

• Green AI and Environmental Sustainability
• Medical Image Analysis
• Graph Neural Networks
• Crystal Structure Prediction
• Model Compression
• Materials Science Applications