Webinar: Presentation about ONNX

We have observed a trend with an increase in use of AI and ML as part of the research in SFI Offshore Mechatronics. A few examples where AI/ML is used is fatigue prediction (WP3), prediction of remaining useful lifetime of fiber ropes (WP5) and machine vision based people tracking (WP3). 

Interoperability and standardization of AI/ML is crucial for industrial adoption and to efficiently bring inference models from the lab and into realistic industrial environments.  

ONNX is an example of a standardization efforts with extensive industry support. Beckhoff is one of the companies with support for ONNX. In our webinar on the 18th of March, Fabian Bause, Product Manager at Beckhoff will tell us more about this. You will find information on how to join the webinar in this page.

More projects visible in the project Github repository

Software developed in relation to SFI Offshore Mechatronics is maintained in public and private repositories in our Github account. In addition to this, software in also maintained under other accounts. We have now decided to fork these other repositories to make sure they are findable, visible and archived from the SFI Offshore Mechatronics account.

If you are aware of a software developed within the project which is not yet forked please reach out to Asle Pedersen (asle.pedersen@uia.no) so that we can fork it into the project Github account.

New researcher WP7.1

Marius T. Kristiansen joined as a PhD research fellow in WP1.7 in September 2020, with Professor Tor Helge Aas (School of Business and Law, University of Agder) as the main supervisor and Jan Helge Viste (GCE Node) as the co-supervisor. The title of his project is: ”Digital Technologies enabling Business Model Innovation in Manufacturing”.

His education background is:
• Bachelor in Political Science, Economics, University of Oslo, 2005
• M.Sc., International marketing and management, Norwegian Business School BI, 2007

New researcher WP1.7

Thomas Farsakoglou joined as a PhD research fellow in WP1.7 in Januar 2021, with Professor Torben Andersen as the supervisor. The title of his project is: ”Energy Efficient Offshore Hydraulic Systems with focus on rotary Actuation”.

His education background is:
• B.Sc. from Alexander Technological Educational Institute of Thessaloniki, Greece in 2016.
• M.Sc. in Mechatronics at the University of Aalborg in 2019.

PhD Defense at NTNU Aalesund, Feb 3rd

Thiago Gabriel Monteiro will defend his PhD-thesis on February 3rd. The title of his thesis is “A Cross-Modal Integrated Sensor Fusion System for Fatigue and Awareness Assessment in Demanding Marine Operations”

The trial lecture will be held at 10:15 of the given theme:
«What other models and methods than data driven can be used to study mental fatigue in maritime operations? Discuss the advantages, disadvantages and applicability to maritime operation situations, and describe situations for which the various methods are recommended. Evaluate the strengths and weaknesses of these methods in linking mental fatigue to operator and system performance, and discuss the challenges with internal and external validity of the methods presented».

The public defense will be held at 13:15.

Both the trial lecture and the defense are open for all that are interested. Due to the pandemic situation, this will be done online. You can participate through the link below.

Join Zoom Meeting
Meeting ID: 928 2581 9123
Passcode: 000122

Join by SIP

Join by H.323 (US West) (US East) (India Mumbai) (India Hyderabad) (Amsterdam Netherlands) (Germany) (Australia) (Singapore) (Brazil) (Canada) (Japan)
Meeting ID: 928 2581 9123
Passcode: 000122

Join by Skype for Business

Webinar: Introduction to the Julia programming language

The topic of our webinar on February 18th (13.45-14.15 CET) is the Julia programming language. The webinar will be presented by Mattias Fällt which is about to finish his Phd degree at the department of automatic control, Lund university. The Julia programming language has in recent years gained a lot of traction and popularity for scientific computing but also industrial applications. Not to be covered in this webinar, but it is worth mentioning that the Julia community is very active in the area of Scientific Machine Learning (SciML). SciML is an active research area concerned with bridging scientific computing (e.g. physical modeling and simulation) with machine learning. Use this link to join.