Erik Johannes Husom

Researcher, Sustainable Communication Technologies, SINTEF Digital

MishMash role: Member

Erik Johannes Husom is a researcher with a M.Sc. in Computational Physics from the University of Oslo. Currently at SINTEF Digital's Trustworthy Green IoT Software group, his work focuses on applied machine learning, AI engineering, and responsible AI, aiming to have an ethical approach to technological advancement. He is particularly focused on Trustworthy and Green AI. He received hMaster of Science in Computational Physics from the University of Oslo, with a focus on applied machine learning.

Deep learning Machine Learning Artificial intelligence

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MishMash Projects

• Environmental Sustainability in MishMash

Other projects

• ENFIELD: European Lighthouse to Manifest Trustworthy and Green AI
• Intent-based data operation in the computing continuum
• Privacy@Edge: Privacy-aware Edge and Data Subjects

Latest results

Type

Book chapter

1. Book chapter, 2026

   Talk is Cheap, Energy is Not: Towards a Green, Context-Aware Metrics Framework for Automatic Speech Recognition

   Maria Ulan ; Erik Johannes Husom ; Jeriek Paul Van den Abeele

2. Book chapter, 2025

   FedMAC: Federated Multi-Algorithm Clustering for Autonomic Systems

   Erik Johannes Husom ; Rustem Dautov ; Arda Goknil

3. Book chapter, 2024

   Data Quality as a Service Framework for AI-Enabled Industrial Internet of Things

   Arda Goknil ; Phu Hong Nguyen ; Erik Johannes Husom ; Sagar Sen ; Simeon Tverdal ; Flavien Peysson ; Dimitra Politaki ; Roberto González-Velázquez

4. Book chapter, 2024

   Latency-Aware Node Selection in Federated Learning

   Rustem Dautov ; Erik Johannes Husom

Journal article

1. Journal article, 2026

   Overview over the first decade of LIMITS

   Maria Emine Nylund ; Erik Johannes Husom ; Ophelia Prillard

2. Journal article, 2026

   Unsupervised Learning and Process Analysis for Sensor Data Validation in the IIoT

   Erik Johannes Husom ; Arda Goknil ; Felix Mannhardt ; Simeon Tverdal ; Sagar Sen ; Phu Hong Nguyen

3. Journal article, 2025

   Controlled Self-Recovery of the Aggregator in Federated Learning Using RAFT Protocol

   Rustem Dautov ; Erik Johannes Husom

4. Journal article, 2025

   Sustainable LLM Inference for Edge AI: Evaluating Quantized LLMs for Energy Efficiency, Output Accuracy, and Inference Latency

   Erik Johannes Husom ; Arda Goknil ; Merve Astekin ; Lwin Khin Shar ; Andre Kåsen ; Sagar Sen ; Benedikt Andreas Mithassel ; Ahmet Soylu

5. Journal article, 2025

   3D-DaVa: Enhancing 3D Point Cloud Data Reliability for Industrial Applications

   Adela Nedisan Videsjorden ; Arda Goknil ; Sagar Sen ; Erik Johannes Husom ; Phu Hong Nguyen

6. Journal article, 2024

   ERG-AI: enhancing occupational ergonomics with uncertainty-aware ML and LLM feedback

   Sagar Sen ; Victor Evaristo Gonzalez Sanchez ; Erik Johannes Husom ; Simeon Tverdal ; Shukun Tokas ; Svein Ove Tjøsvoll

More results in NVA…