top of page


“The joy of discovery is certainly the liveliest that the mind of man can ever feel”

- Claude Bernard -

Conference Publications



Image Inpainting With Hypergraphs for Resolution Improvement in Scanning Acoustic Microscopy. A. Somani, P. Banerjee,M. Rastogi, K. Agarwal,D.K. Prasad, A. Habib. InProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2023 (pp. 3112-3121).

Analyzing Mitochondrial Morphology Through Simulation Supervised Learning. A.R. Punnakkal, G. Godtliebsen, A. Somani, S.A. Maldonado, Å.B. Birgisdottir, D.K. Prasad, A. Horsch, K. Agarwal. Journal of Visualized Experiments, In-press (2023).


Counterfactual explainable gastrointestinal and colonoscopy image segmentation. D. Singh, A. Somani, A. Horsch, D.K. Prasad. IEEE 19th International Symposium on Biomedical Imaging (ISBI) 2022.


T-MIS: Transparency Adaptation in Medical Image Segmentation. A. Somani, D. Singh, D.K. Prasad, A. Horsch. Nordic Machine Intelligence, 2021. 

Performance improvement in deep learning models for outdoor semantic segmentation for autonomous driving for unstructured environmentD. Singh, A. Somani, A. Horsch, D.K. Prasad. Nordic AI Young Researchers Symposium 2021.

Research Lab Associations


Bio-AI Lab, UiT Norway

One of the founding members and active researcher in Bio-AI Lab in Department of Computer Science, UiT The Arctic University of Norway. At Bio-AI, a highly collaborative data science lab located in Tromsø which facilitates the conduction of cutting-edge AI research and its applications in biology. Here, we are interested in a range of concepts and ideas in artificial intelligence, both from science and from society in general, combined with exciting biological challenges researchers at the department have been working on together with partners from physics and biology. Our findings have been widely published in numerous publications. 

Screenshot 2023-02-28 at 07.06.27.png

N-CRiPT Lab, NUS Singapore

I have joined the NUS Centre for Research in Privacy Technologies (N-CRiPT) at the School of Computing, National University of Singapore as a Research Intern to work on developing methods for interpretable deep learning models on February 2023. N-CRiPT is a strategic capability research centre in privacy-preserving technologies established by the National University of Singapore. The Centre is funded by National Research Foundation Singapore, and administered by the Smart Systems Research Programme Office, Info-communications Media Development Authority. Working ‘Towards a privacy-aware Smart Nation’, our goal is to develop privacy-preserving technologies to protect privacy at an individual and organizational level in a holistic manner – with focus on, but not limited to, unstructured data – along the whole data life cycle.


CLIMB, Beckman Institute, UIUC, USA

Visiting researcher under Erasmus+ mobility grant at the Center for Label-free Imaging and Multiscale Biophotonics (CLIMB) in Beckman Institute for Advanced Science and Technology, The University of Illinois Urbana-Champaign, USA. At CLIMB, through the three Technology Research and Development Projects (TRDs), current eight Collaborative Projects, and eight Service Projects, they have a national and international network of researchers investigating cutting-edge optical imaging and sensing methods, along with developing novel computational imaging and AI/ML algorithms, to enable label-free optical imaging technologies for both clinical applications as well as basic biological discovery.

Research Collabrations



Our research lies at the nexus of physics, mathematics, and engineering, for developing revolutionary imaging solutions that aid research in clinical biology and medicine. We believe that good teams make great science.

Screenshot 2021-03-09 190349.jpg

Virtual Stain

VirtualStain is an ambitious project that could have a far-reaching impact on the way we analyse and interpret tissue- and cell-images. This large, collaborative effort, involving four departments from three different faculties, is part of the UiT Tematiske satsninger, a funding program intended to encourage innovative interdepartmental and interdisciplinary projects.



Rising up from a (formerly) small integrated optics group, ERC grant jump-started the Nanoscopy group in 2015. Our team is made up of physicists, computer-scientists, engineers and biologists with research topics stretching from advanced imaging of cells and tissues via image processing to the development of the emerging field of chip-based nanoscopy.

bottom of page