CV
Education
- PhD in Medical Image Analysis, University of Copenhagen, Denmark (2018)
- MSc in Electrical Engineering, Chalmers University, Sweden (2015)
- Bachelor in Electronics and Communication Engineering, BMS Institute of Technology, India (2009)
Work experience
- Sep 2020 – Ongoing
- Role: Assistant Professor
- Employer: University of Copenhagen
- Jan 2019 – Aug. 2020
- Role: Post-doc
- Employer: University of Copenhagen, Copenhagen
- Aug 2011 – July 2013
- Role: Lecturer
- Employer: BMS Institute of Technology, Bangalore
- Nov 2009 – July 2011 * Role: Networking Engineer
- Employer: MRO-TEK, Bangalore
- Freelance writer
Awards
- Runner-up Best Paper Award at International Conference of Medical Imaging with Deep Learning (2020). Interview.
- Swedish Institute Scholarship covering MSc expenses (2013)
- Limca Book of Records Award: Team Member of India’s smallest satellite project - StudSat (2011)
Skills
- Reviewer at high impact journals and conferences such as IEEE Transactions of Medical Image Analysis, Medical Image Analysis, MICCAI, MIDL, NeurIPS
- Blogger
Publications
Dynamic β-VAEs for quantifying biodiversity by clustering optically recorded insect signals Permalink
Tensor Networks for Medical Image Classification
Raghavendra Selvan, Erik Dam, "Tensor Networks for Medical Image Classification." In the proceedings of International Conference on Medical Imaging with Deep Learning (MIDL), 2020.