Members

Core staff at IIR:

Postdocs and PhD students at IIR:

Supervisory staff outside of IIR department:

  • Thor Inge Fossen, professor, ITK, co-director of NTNU AMOS
  • Edmund Førland Brekke, associate professor, ITK, affiliated scientist at NTNU AMOS
  • Øyvind Stavdahl, professor, ITK
  • Morten D. Pedersen, associate professor, ITK
  • Martin Steinert, professor, MTP
  • Henry Piehl, associate professor, IHB
  • Kjell-Inge Gjesdal, PhD, physicist, Sunnmøre MR-klinikk
  • Carl Petter Skaar Kulseng, radiographer, Sunnmøre MR-klinikk
  • Alf Inge Hellevik, PhD, orthopaedic surgeon, Ålesund Biomechanics Laboratory, Ålesund hospital
  • Terje Vagstad, orthopaedic surgeon, head orthopaedic department, executive head Ålesund Biomechanics Laboratory, Ålesund hospital
  • Andreas Dalen, orthopaedic surgeon, manager Ålesund Biomechanics Laboratory, Ålesund hospital

PhD/postdoc alumni:

Selected MSc/BSc graduates:

  • Basir Sedigi, MSc (2020): Basir Sedigi, MSc, Machine vision and deep learning for automatic fault detection of road fences. Partner: Arvid Gjerde AS & ISI.
  • Jørgen André Sperre, MSc (2020): Machine learning for automatic 3D MR image segmentation. Partner: Sunnmøre MR-klinikk.
  • Li Lu, MSc (2020): Using deep learning for medical image segmentation. Partner: Sunnmøre MR-klinikk.
  • Eirik Fagerhaug, MSc (2019): Drone landing spot recognition in a simulated environment. Partner: Griff Aviation.
  • Karl Eirik Aaasen, MSc (2019): Coverage Path Planning Using Autonomous Surface Vessels. Partner: Maritime Robotics.
  • Martin Pettersen, MSc (2019): Segmentation of MR images Using CNN. Partner: Sunnmøre MR-klinikk.
  • Demy Patrick Gielesen, MSc (2019): Augmented Reality for Maritime Operations. Partner: Kongsberg Maritime.
  • Eirik Gromholt Homlong, MSc (2019): Computer-Aided Diagnostics: Magnetic Resonance Imaging. Partner: Sunnmøre MR-klinikk.
  • Sindre Fossen, MSc (2018): Visualization and Collision Risk Assessment of Real Ships in a Mixed Reality Environment using Live Automatic Identification System (AIS) Data. Partner: Maritime Robotics.
  • Vidar Selen, MSc (2018): Energy Management Systems for Hybrid Vessels. Partner: Vard Electro.
  • Aleksander Skrede, MSc (2017): A Platform for Autonomous Drone Swarms
  • Albert Havnegjerde, Vegard Kamsvåg, Sveinung Liavaag, BSc (2016): A Low Cost USV for Aqua Farm Inspection (+Best BSc/MSc Thesis Award 2016 by NFEA)
  • Tom Verplaetse, BSc (2015): On Usage of EEG Brain Control for Rehabilitation of Stroke Patients (+Best Student Paper Award at ECMS’16)
  • Fredrik Hoel Helgesen, Daniel Nedregård, Rolf-Magnus Hjørungdal, BSc (2015): Man/machine interaction through EEG

Student assistants in projects:

  • Arild Valderhaug (BSc automation), EEG for ALS patients, Excided pedagogical project (summer 2020)
  • Emil Elton Nilsen (BSc computer engineering), EEG for ALS patients, Excited pedagogical project (summer 2020)
  • Even Drugli (BSc automation), Computer Vision for Multi-Camera Tracking of Moving Objects (autumn 2018 – spring 2019)
  • Waleed El Zoghby (MSc simulation and visualisation), CodinGame: Development of E-Learning Material for Programming, Excited pedagogical project (autumn 2018 – spring 2019)
  • Sivert Løken (BSc automation)
    • Cody Coursework: Development of E-Learning Material for Matlab Grader, Excited pedagogical project (summer/autumn 2018)
    • IoT Lab, Excited pedagogical project (autumn 2018)
  • Ole-Martin Hagen Steinnes (BSc automation), IoT Lab, Excited pedagogical project (autumn 2018)
  • Sigurd Oddtrøen Strand (BSc automation)
    • MIDI Sequencer Imponator, Excited pedagogical project (summer/autumn 2018)
    • Hardware-In-The-Loop Valve, Excited pedagogial project (summer 2018)
  • Birger Skogeng Pedersen, student assistant for AI for Product Design (2015-16)

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