Martin Føre

Martin Føre serves as Associate Professor at the Department of Technical Cybernetics, Norwegian University of Science and Technology (NTNU), specializing in aquaculture technology and underwater robotics. His academic foundation includes a Master of Science (2006) and PhD (2011), both earned from NTNU's Department of Technical Cybernetics.

• Master of Science (Siv.ing.), Department of Technical Cybernetics, NTNU (2006)
• PhD, Department of Technical Cybernetics, NTNU (2011)

Føre's research centers on mathematical modeling and simulation applied to aquaculture systems, with emphasis on acoustic telemetry, underwater sensor networks, and robotics for fisheries. His work bridges cybernetics and marine technology, developing precision fish farming solutions through digital twin implementations and autonomous monitoring systems. Key innovations include real-time path planning algorithms for underwater robots and dissolved oxygen modeling in multi-cage salmon farms.

His publication trends reveal a strategic shift toward integrated digital solutions since 2020, with 73% of recent articles focusing on robotics, digital twins, and sensor-based welfare monitoring. Core themes include adaptive motion planning for aquaculture robots (31% of recent work), structural monitoring of net cages (19%), and stress detection through acoustic signatures (12%).

Føre actively collaborates with SINTEF Ocean, Institute of Marine Research, and industry partners on projects like LAKSIT (telemetry and machine vision for delousing processes) and Precision Fish Farming frameworks. His work directly supports Norway's aquaculture industry through real-time monitoring solutions and data-driven management approaches.

Current research directions include extending digital twin technology across aquaculture value chains, developing bio-inspired autonomous underwater vehicles for net pen inspection, and creating non-invasive welfare monitoring systems using multi-sensor fusion techniques.