UDAVA: an unsupervised learning pipeline for sensor data validation in manufacturing. - Erik Johannes Husom; Simeon Tverdal; Arda Goknil; Sagar Sen (CAIN, 2022)

Taming Data Quality in AI-Enabled Industrial Internet of Things. - Sagar Sen; Erik Johannes Husom; Arda Goknil; Simeon Tverdal; Phu Hong Nguyen; Iker Mancisidor (IEEE Softw., 2022)

Replay-Driven Continual Learning for the Industrial Internet of Things. - Sagar Sen; Simon Myklebust Nielsen; Erik Johannes Husom; Arda Goknil; Simeon Tverdal; Leonardo Sastoque Pinilla (CAIN, 2023)

Cybersecurity Awareness and Capacities of SMEs. - Gencer Erdogan; Ragnhild Halvorsrud; Costas Boletsis; Simeon Tverdal; John Brian Pickering (ICISSP, 2023)

Automated Behavior Labeling for IIoT Data. - Erik Johannes Husom; Arda Goknil; Simeon Tverdal; Sagar Sen; Phu Hong Nguyen (IoT, 2023)

REPTILE: a Tool for Replay-driven Continual Learning in IIoT. - Erik Johannes Husom; Sagar Sen; Arda Goknil; Simeon Tverdal; Phu Hong Nguyen (IoT, 2023)

Edge-based Data Profiling and Repair as a Service for IoT. - Simeon Tverdal; Arda Goknil; Phu Hong Nguyen; Erik Johannes Husom; Sagar Sen; Jan Ruh; Francesca Flamigni (IoT, 2023)

A blockchain-based framework for trusted quality data sharing towards zero-defect manufacturing. - Mauro Isaja; Phu Hong Nguyen; Arda Goknil; Sagar Sen; Erik Johannes Husom; Simeon Tverdal; Abhilash Anand; Yunman Jiang; Karl John Pedersen; Per Myrseth; Jørgen Stang; Harris Niavis; et al. (Comput. Ind., 2023)

Virtual sensors for erroneous data repair in manufacturing a machine learning pipeline. - Sagar Sen; Erik Johannes Husom; Arda Goknil; Dimitra Politaki; Simeon Tverdal; Phu Hong Nguyen; Nicolas Jourdan 001 (Comput. Ind., 2023)

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 (IoT, 2024)

Dynamic Cyber Risk Assessment for Connected Medical Devices: the NEMECYS Approach. - Gencer Erdogan; Laura Carmichael; Steve Taylor 002; Simeon Tverdal; Andrea Neverdal Skytterholm (RCIS Workshops, 2024)

SMARAGD: Data Interoperability for Decision Support in the Norwegian Agrifood Sector. - Rustem Dautov; Simeon Tverdal; André Skoog Bondevik; Svein Arild Frøshaug; Vera Szabo; Jan Robert Fiksdal; Martin Fodstad Stølen (RuleML+RR (Companion), 2024)

Privacy Policy Analysis through Prompt Engineering for LLMs. - Arda Goknil; Femke B. Gelderblom; Simeon Tverdal; Shukun Tokas; Hui Song (CoRR, 2024)

Uncertainty-Aware Virtual Sensors for Cyber-Physical Systems. - Sagar Sen; Erik Johannes Husom; Arda Goknil; Simeon Tverdal; Phu Hong Nguyen (IEEE Softw., 2024)

ERG-AI: enhancing occupational ergonomics with uncertainty-aware ML and LLM feedback. - Sagar Sen; Victor Gonzalez; Erik Johannes Husom; Simeon Tverdal; Shukun Tokas; Svein O. Tjøsvoll (Appl. Intell., 2024)

Cyber-Risk Indicators for Connected Medical Devices. - Simeon Tverdal; Gencer Erdogan; Andrea Neverdal Skytterholm; Samuel M. Senior; Steve Taylor 002; Laura Carmichael (EICC, 2025)

Systematisation of Security Risk Knowledge Across Different Domains: A Case Study of Security Implications of Medical Devices. - Laura Carmichael; Steve Taylor 002; Samuel M. Senior; Mike Surridge; Gencer Erdogan; Simeon Tverdal (ICISSP (1), 2025)