At the Department of Technology and safety research is aimed towards operational and technological challenges in the High North.
Priority area of research
The main focus is on development of technology and preparedness together with elucidation of risk exposure at operational procedures in the High North.
The main objective is on providing research that can incite innovation and development for business and industry in the region. Industry partners play an important role in initiating and development of new research projects.
Research themes:
- Operations and maintenance of complex production facilities
- Challenges related to maritime operations in cold climate
- Subsea sensors for oil and gas
- Artic earth observation and surveillance technologies
- Coastal environment, technology and innovation in the Arctic
- Risk analysis to identity suitable technology for waste handling in the Arctic oil industry and shipping
We have 12 projects at our unit:
Reliability Evaluation and Reliability Prediction for Internet of Things (IOT) Appliance
Frontiers of Performability
Engineering
A state-of-the-art review of AI decision transparency for autonomous shipping
Multi-objective route planning and optimization using graph theory and pareto optimality for fishing vessels in the Arctic
Multi-objective route planning and optimization using graph theory, pareto optimality and genetic algorithm for fishing vessels in the Barents sea
Assessing resilience in mechanical systems: an industrial perspective
Se alle registreringer i Cristin
Se alle registreringer i Cristin
Masteroppgaver:
Karlsen, Kristoffer : Unpacking uncertainty in regional avalanche forecasting: A quantitative case study of uncertainty in forecasting regional avalanche danger Haugvoll, Martine : Kunnskapsoverføring i beredskapsorganisasjoner i Longyeabyen, Svalbard - En kvalitativ studie av forvaltningen av taus kunnskap i beredskapsorganisasjoner preget av høy turnover Jakobsen, Søren / Laugesen, Simon : Implementation of Sustainable Aviation Fuel. A PESTEL-analysisArtikler og rapporter:
Nouri Qarahassanlou, Ali / Rahimazar, Ali / Khanzadeh, Dina : Assessing resilience in mechanical systems: an industrial perspective Taghavi, Mahmood / Perera, Lokukaluge Prasad Channa : Advanced data cluster analyses in digital twin development for marine engines towards ship performance quantification Nouri Qarahassanlou, Ali / Barabadi, Abbas : Corporate social responsibility in complex systems based on sustainable developmentSe alle oppføringer i Munin – Open research archive