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Satheshkumar K.

Satheshkumar Kaliyugarasan

I am an associate professor at the Western Norway University of Applied Sciences (HVL) in Bergen, where I teach and research AI and software engineering. Alongside this, I work part-time at the Mohn Medical Imaging and Visualization Centre (MMIV), collaborating with radiologists on medical image analysis and reporting.

Experience

  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 an AI consultancy, working on software development and training.

    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 model deployment infrastructure in Databricks and put two salmon price prediction models into production.
    • Created training materials and ran workshops on Microsoft Copilot and generative AI.
    • Built a shipping document analyser and an HR chatbot using large language models.
    The value of artificial intelligence and machine learning

Earlier roles

  • Assistant professor II in machine learning (part-time), Western Norway University of Applied Sciences (HVL)2021
  • Researcher, University of Bergen, Department of Biomedicine2019 – 2020
  • Data scientist (part-time), Bouvet ASA2019
  • Teaching assistant, Western Norway University of Applied Sciences (HVL)2015 – 2018
  • Summer intern, Capgemini2018
  • Summer intern, Nordea Liv2017
  • Intern, Vizrt2016

Education

  • 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

Publications

Selected peer-reviewed publications

  1. 2023

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

    S. Kaliyugarasan, A. S. Lundervold

    Software Impacts

  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)

  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

  4. 2022

    Fully automatic whole-volume tumor segmentation in cervical cancer

    E. Hodneland, S. Kaliyugarasan et al.

    Cancers

Teaching and supervision

Courses

  • DAT158: Machine learning engineering and advanced algorithmsFall 2021

PhD co-supervision

  • Deep learning for vestibular schwannoma: integration and evaluation in research, towards clinical workflows2026 – present

MSc project co-supervision

  • A workflow-integrated brain tumor segmentation system based on fastai and MONAI2020 – 2022

BSc project co-supervision

  • Deep learning for quality control of fish fillets2025
  • Large language models and fish health2024

Talks

2026

  • Workshop: patient-friendly translation of radiology reports

    PRESIMAL research school, Sola Strand Hotel, Sola, Norway, 4–6 November 2026

2025

  • Integrating LLMs and computer vision into radiological workflows

    MMIV Conference, Bergen, Norway, 12 December 2025

  • Kunstig intelligens i medisinsk bildediagnostikk

    Inspirasjonsdag for realfagselever, Western Norway University of Applied Sciences, Bergen, Norway, 14 November 2025

  • AI in medical imaging and reporting

    MMIV seminar, Bergen, Norway, 4 September 2025

2024

  • Lerøy og kunstig intelligens

    Inspirasjonsdag for realfagselever, Western Norway University of Applied Sciences, Bergen, Norway, 4 November 2024

  • Hvordan jobber vi med kunstig intelligens?

    Springbrett, Grieghallen, Bergen, Norway, 24 September 2024

Contact

For research collaborations, student projects or speaking invitations, email is the best way to reach me.