Sveinung Johan Ohrem
Papers
8
Total Citations
138
H-Index
6
About
Sveinung Johan Ohrem is a researcher specializing in autonomous underwater robotics, digital twin technology, and intelligent systems for aquaculture applications. His work sits at the intersection of marine engineering, control systems, and artificial intelligence, with a particular focus on solving real-world challenges in the global fish farming industry. Ohrem's most impactful contribution to date is his 2024 work on Digital Twins in intensive aquaculture (64 citations), which explores how Industry 4.0 technologies can transform fish farm operations through sophisticated digital modeling and simulation. Complementing this, his widely cited 2020 analysis of an autonomous underwater robot for biofouling prevention (31 citations) established a foundation for replacing labor-intensive net cleaning processes with intelligent robotic systems, addressing critical concerns around fish health, cage integrity, and environmental contamination from cleaning waste. Across multiple publications, Ohrem has advanced autonomous navigation, adaptive motion planning, obstacle avoidance, and control-oriented modeling for underwater vehicles operating in the complex, dynamic environments of commercial net pens. His 2021 and 2023 studies on path planning and localization further demonstrate his commitment to translating simulation-based insights into validated field applications. With a growing publication record spanning robotics, adaptive control, and aquaculture field applications, Ohrem is emerging as a significant contributor to the future of sustainable, technology-driven fish farming.
Research Focus
Key Achievements
Top Papers
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- 6Control-oriented modeling of an underwater biofouling prevention robot6 citations · 2021
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