Satheshkumar Kaliyugarasan

1. Associate professor

   2026 – Present

   Western Norway University of Applied Sciences (HVL)

   Teaching and research in artificial intelligence and software engineering.

2. Data scientist / researcher (part-time)

   2026 – Present

   Mohn Medical Imaging and Visualization Centre (MMIV), Haukeland University Hospital

   Research and development of AI solutions for medical imaging and reporting.

3. Consultant (part-time)

   2025 – Present

   Royal Norwegian Naval Academy (Sjøkrigsskolen)

   Developing hands-on learning materials in scikit-learn and PyTorch for an existing machine learning course.

4. Partner

   2023 – Present

   AkademiX

   Co-founded a consultancy that delivers artificial intelligence solutions, training and knowledge sharing.

   akademix.no

5. Postdoctoral fellow

   2025 – 2026

   Mohn Medical Imaging and Visualization Centre (MMIV), Haukeland University Hospital

   Research and development of AI solutions for medical imaging and reporting within the ASIS project (AI-supported Services for Image Diagnostics in Western Norway), in close collaboration with radiologists.

6. Data scientist

   2023 – 2025

   Lerøy Seafood

   • Built MLOps infrastructure in Databricks, automating model deployment and launching two production-grade salmon price prediction models
   • Supported Microsoft Copilot adoption through training development and hands-on generative AI workshops
   • Developed two custom LLM solutions: a shipping document analyzer and an HR chatbot
   The value of artificial intelligence and machine learning

7. Assistant professor II

   2021

   Western Norway University of Applied Sciences (HVL)

   20% position alongside PhD studies, teaching a machine learning course for third-year BSc students.

8. Researcher

   2019 – 2020

   University of Bergen, Department of Biomedicine

9. Data scientist (part-time)

   2019

   Bouvet ASA

   Combined with master's studies in software engineering at the University of Bergen.

• PhD in computer science

  2020 – 2023

  Western Norway University of Applied Sciences

  Thesis: Deep learning in medical image analysis: efficient use of data and radiological expertise

• MSc in software engineering

  2019

  University of Bergen

  Thesis: Deep transfer learning in medical imaging

• BSc in information technology

  2017

  Western Norway University of Applied Sciences

1. 2023

   fastMONAI: a low-code deep learning library for medical image analysis

   S. Kaliyugarasan, A. S. Lundervold

   Software Impacts

   Source code for fastMONAI: a low-code deep learning library for medical image analysis (opens in new tab)
2. 2023

   Multi-center CNN-based spine segmentation from T2w MRI using small amounts of data

   S. Kaliyugarasan, A. S. Lundervold et al.

   IEEE International Symposium on Biomedical Imaging (ISBI)

   Source code for Multi-center CNN-based spine segmentation from T2w MRI using small amounts of data (opens in new tab)
3. 2022

   LAB-Net: LiDAR and aerial image-based building segmentation using U-Nets

   S. Kaliyugarasan, A. S. Lundervold

   Nordic Machine Intelligence

   Second place in the NORA MapAI competition

   Source code for LAB-Net: LiDAR and aerial image-based building segmentation using U-Nets (opens in new tab)
4. 2022

   Fully automatic whole-volume tumor segmentation in cervical cancer

   E. Hodneland, S. Kaliyugarasan et al.

   Cancers

I am always happy to hear about research collaborations, student projects, speaking invitations and applied AI work.

• Email

  skaliyugarasan@hotmail.com

• LinkedIn

  Satheshkumar Kaliyugarasan

• GitHub

  github.com/skaliy

• Location

  Bergen, Norway

• Languages

  Norwegian (Bokmål), Tamil, English