Erik Johannes

Work

• Master of Science
  • └── Research group: Trustworthy Green IoT Software
    • └── Department: Sustainable Communication Technologies
      • └── Research institution: SINTEF Digital
• Address: SINTEF Digital, Forskningsveien 1, 0373 Oslo, Norway
• E-mail: erik.johannes.husom@sintef.no

Projects

• Erdre. A machine learning pipeline for time series data.
• UDAVA. Unsupervised data validation.

Publications

• 9. Rustem Dautov, Erik Johannes Husom, Fotis Gonidis, Spyridon Papatzelos, Nikolaos Malamas. Bridging the Gap Between Java and Python in Mobile Software Development to Enable MLOps. 2022 18th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob). 2022-11-15. Conference paper.
• 8. Erik Johannes Husom, Rustem Dautov, Adela-Aniela Nedisan, Fotis Gonidis, Spyridon Papatzelos, Nikolaos Malamas. Machine Learning for Fatigue Detection using Fitbit Fitness Trackers. icSports 2022. 2022-10-28. Conference paper.
• 7. Sagar Sen, Erik Johannes Husom, Arda Goknil, Simeon Tverdal, Phu Nguyen, Iker Mancisidor. Taming Data Quality in AI-Enabled Industrial Internet of Things. IEEE Software. 2022-08-01. Journal paper.
• 6. Rustem Dautov, Erik Johannes Husom, Fotis Gonidis. Towards MLOps in Mobile Development with a Plug-in Architecture for Data Analytics. 2022 6th International Conference on Computer, Software and Modeling (ICCSM). 2022-07-01. Conference paper.
• 5. Erik Johannes Husom, Simeon Tverdal, Arda Goknil, Sagar Sen. UDAVA: An Unsupervised Learning Pipeline for Sensor Data Validation in Manufacturing. 2022 IEEE/ACM 1st International Conference on AI Engineering–Software Engineering for AI (CAIN). 2022-05-16. Conference paper.
• 4. Erik Johannes B. L. G Husom, Pierre Bernabé, Sagar Sen. Deep learning to predict power output from respiratory inductive plethysmography data. Applied AI Letters. 2022-04. Journal paper.
• 3. Nicolas Jourdan, Sagar Sen, Erik Johannes Husom, Enrique Garcia-Ceja, Tobias Biegel, Joachim Metternich. On The Reliability Of Machine Learning Applications In Manufacturing Environments. Workshop on Distribution Shifts, 35th Conference on Neural Information Processing Systems (NeurIPS 2021). 2021-12-19. Conference paper.
• 2. Erik Johannes Husom. Deep learning to estimate power output from breathing. 2021-06. MSc Thesis.
• 1. Sagar Sen, Pierre Bernabé, Erik Johannes B. L. G. Husom. DeepVentilation: Learning to Predict Physical Effort from Breathing. Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence. 2020-07. Conference paper.