New Researcher WP3.6

Dipendra Subedi started as a PhD Research Fellow at University of Agder (UiA, Norway) under WP3.6 on 22 February 2019 with Associate Professor Ilya Tyapin and Geir Hovland as supervisors. Subedi holds a B.E. degree in Electrical and Electronics Engineering (Anna University, India) and a Joint Master’s Degree in Advanced Robotics (University of Genoa, Italy and Jaume I University, Spain). He worked as a Robotics Software Engineer at Dorabot Inc., China for 1 year before starting his PhD at UiA.

In the SFI, he is working on Instrumentation and Real-Time Control of Long-Reach Light-Weight Arm for Offshore Use.

WP7 Workshop on Machine Learning, November 29

When: Friday, November 29, 2019 9:00 AM-12:30 PM.
Location: GCE NODE, Tordenskjoldsgate 9, Kristiansand

09:00 – 09:10 Welcome & Coffee
09:10 – 09:45 Advancing Machine Learning and Optimization: Algorithms and Applications
09:55 – 10:10 Questions & discussion
10:10 – 10:40 Bringing SFI OM results forward with EU funding
10:40 – 10:50 Questions & discussion
10:50 – 11:00 Break
11:00 – 11:30 Innovation in ocean technology
11:30 – 12:30 Lunch

Advancing Machine Learning and Optimization: Algorithms and Applications
Professor Thomas Bäck
Leiden Institute of Advanced Computer Science, Leiden University, Netherlands

Today, industrial production processes generate a significant amount of process data through sensor measurements. In this talk, I will show how data-driven machine learning and optimization algorithms can be enhanced and applied to such processes for optimizing, e.g., process quality criteria. Like for many other datacentric application domains, it is impossible to apply analytical methods to such a task.

Instead, a range of methods including supervised learning (regression and/or classification), hyperparameter optimization, and evolutionary optimization need to be combined and applied, often in an automatic way. Moreover, enhancements of such algorithms need to be developed to fit the requirements of such industrial processes, including the on-line application of predictive models.

To illustrate this approach towards data-driven machine learning in industrial processes, some practical examples from industries such as automotive are discussed.

My fundamental research activities are often driven by the requirements of practical applications. In the talk, I will provide some examples such as my research in efficient global optimization, automatic configuration of evolutionary strategies, and online algorithm configuration of optimization algorithms – all of which are directly related to the area of automatic machine learning.

The talk concludes by providing a short overview of my other research topics and industrial projects in my research group.

Brief Biography:
Thomas Bäck is full professor of computer science at the Leiden Institute of Advanced Computer Science (LIACS), Leiden University, The Netherlands, since 2004. His research interests are in evolutionary and Bayesian optimization, machine learning, and data mining.

He received his PhD in Computer Science (under supervision of Hans-Paul Schwefel) from Dortmund University, Germany, in 1994, and then worked for the Informatik Centrum Dortmund (ICD) as department leader of the Center for Applied Systems Analysis. From 2000-2009, Thomas was President of NuTech Solutions GmbH and CTO of NuTech Solutions, Inc. In his work with industrial partners in the industry 4.0 domain, he develops solutions with companies such as BMW, Daimler, Honda, Tata Steel, and KLM – to name a few.

Thomas Bäck has more than 350 publications (H-Index: 56) and authored a book on evolutionary algorithms, (Evolutionary Algorithm in: Theory and Practice). He is co-editor of the Handbook of Evolutionary Computation and the Handbook of Natural Computing, and co-author of the book Contemporary Evolution Strategies (Springer, 2013). He is editorial board member of a number of journals, co-Editor-in-Chief of Theoretical Computer Science C (Elsevier) and the Natural Computing Book Series (Springer), and has served as program chair for major conferences in evolutionary computation. He received the best dissertation award from the Gesellschaft für Informatik (GI) in 1995 and is an elected fellow of the International Society for Genetic and Evolutionary Computation for his contributions to the field. In 2015, he received the IEEE Evolutionary Computation Pioneer Award for his contributions in synthesizing evolutionary computation.

Level 2 Publications During 2018-2019

The following Level 2 papers have been published by the centre in 2019:

1) H. V. Kalpanie Mendis, Indika A. M. Balapuwaduge, and Frank Y. Li, “Dependability-based Reliability Analysis in URC Networks: Availability in the Space Domain,” IEEE/ACM Transactions on Networking, Early access article, Sept. 2019. (Level-2).

2) Andrej Cibicik, Geir Ole Tysse and Olav Egeland, Reaction forces of a deck crane under wave excitation, Journal of Offshore and Arctic Engineering (Level 2), December 2019, 141(6): 061604.

3) Thilina N. Weerasinghe, Indika A. M. Balapuwaduge, and Frank Y. Li, Achieving URLLC for Bursty Traffic: Supervised Learning based Arrival Prediction and Dynamic Preamble Allocation, IEEE 2019 Infocom Proceedings.

In 2018 the centre published the following Level 2 papers:

1) Sondre Sanden Tørdal and Geir Hovland, “Ship-to-Ship State Observer using Sensor Fusion and the Extended Kalman Filter”, ASME Journal of Offshore Mechanics and Arctic Engineering, 2018.

2) Z. Mikulski and T. Lassen, Fatigue crack initiation and subsequent crack growth in fillet welded steel joints, International Journal of Fatigue, 2018.

PhD Thesis: Andrej Cibicik, WP2.3

Andrej Cibicik (WP2.3) submitted his PhD thesis in Q3-2019. This is the second PhD thesis submitted from the centre, both from WP2. The PhD defence of Andrej will take place in Trondheim, during January.

Article About the Mid-Term Evaluation

SFI Offshore Mechatronics gets praise and a green light from The Research Council of Norway. They can now keep the project going into the second and last phase of the project period to 2023. In the picture Seunn Smith-Tønnesen, University Director at UiA, Leif Haukom, chairman in the SFI and Geir Hovland, Center Director of the SFI.

For the complete article, see:

PhD Research Fellow in Sensor fusion for perception, collision avoidance and navigation towards autonomous systems

Title: PhD Research Fellow in Sensor fusion for perception, collision avoidance and navigation towards autonomous systems

Application Deadline: 30th October 2019
JobbNorge ID: 176225
Work-package in the centre: WP3.9


MacGregor’s First Contract for Autonomous Mooring

See the following link:

See also this link (requires subscription):

The Robotics Group at the University of Agder has played a key role in this project, both as part of the SFI Offshore Mechatronics Centre and an additional spin-off project in the BIA program.

Sign up for the 5h Offshore Mechatronics Annual Conference


Registration for the 5th Annual SFI Offshore Mechatronics conference, June 4-5, can be made here:

Below is the final program for the 5th Annual Conference of the centre SFI Offshore Mechatronics, taking place in Grimstad on June 4-5, 2019.

Tuesday June 4, Campus Grimstad C2-042:
09:00 – 09:45 Registration + Poster Session
09:45 – 09:55 Welcome, Introduction and Awards
09:55 – 10:25 WP7 / Keynote Speaker 1: Tor Helge Aas, UiA: New digital business models: The case of servitization.
10:25 – 10:40 WP6.2 Context aware data reduction, Emilio Ruiz
10:40 – 10:55 WP6.1&WP6.4 Optimization of energy consumption and emission reduction, Luis M. Lopez
10:55 – 11:15 WP6 Panel Discussion: Baltasar Beferull-Lozano (UiA), Oyvind Mydland (Stepchange), Bjarne Larsen (MHWirth) and Jarle Notland (NOV)
11:15 – 11:30 WP5.1 Tapered big bearings, Martin Hemmer
11:30 – 11:45 WP5.2 Steel ropes, Rune Schlanbusch
11:45 – 12:30 Lunch + Poster Session
12:30 – 12:45 WP5.3 Fiber Ropes, Shaun Falconer and Ellen Nordgård-Hansen
12:45 – 13:00 WP5.4 Condition-based lifetime prediction, Lothar Wöll
13:00 – 13:15 WP5.5 Modeling the fatigue damage mechanism in welded joints, Zbigniew Mikulski
13:15 – 13:35 WP5 Panel Discussion: Thomas Meyer (NORCE), Julian Zec (NOV), Markus Buschmann (MacGregor), Alf-Rune Sørvollen (MHWirth)
13:35 – 14:00 Break + Poster Session
14:00 – 14:15 WP4.1 Integrated simulation of multi-physical systems in offshore operations, Savin Viswanathan
14:15 – 14:30 WP4.2 Component-based simulation systems for drilling automation and crane systems, Njål Tengesdal
14:30 – 14:45 WP4.3 Protocols and standards for integration of simulation models and co-simulation, Lars Ivar Hatledal
14:45 – 15:00 WP4.4 Multi-domain modeling and simulation, Gaute Fotland
15:00 – 15:20 WP4 Panel Discussion: Olav Egeland (NTNU), Christian Holden (NTNU), Houxiang Zhang (NTNU), Ronny Sten (NOV)
15:20 – 15:45 Break + Poster Session
15:45 – 16:00 WP3.1 Development of Offshore 3D Sensor Package, Joacim Dybedal
16:00 – 16:15 WP3.2 Robotic Collision Detection and Avoidance, Atle Aalerud
16:15 – 16:30 WP3.3 Sensor Fusion, Point-Clouds and 3D Maps, Aksel Sveier
16:30 – 16:45 WP3.4 Situational Awareness/Human Factors, Thiago Monteiro
17:00 – Dinner on Campus

Wednesday June 5, Campus Grimstad C2-042:
09:00 – 09:15 WP3.5 5G Communications, Thilina N. Weerasinghe
09:15 – 09:30 WP3.6 Long-reach, light-weight arm intended for use offshore, Dipendra Subedi
09:30 – 09:45 WP3.7 Coupled dynamics between vessel and crane, Ronny Landsverk
09:45 – 10:00 WP3.8 Formal Verification of Autonomous Systems, Yvonne Murray
10:00 – 10:30 Keynote Speaker: Assuring Autonomy, Dr. Mark Nicholson, University of York, UK
10:30 – 10:50 WP3 Panel Discussion: Geir Hovland (UiA), Mark Nicholson (UoY), David Anisi (ABB), Eivind Gimming Stensland (MacGregor)
10:50 – 11:20 Break + Poster Session
11:20 – 11:35 WP2.1 Coupled Dynamics Between Vessel and Crane, Geir Ole Tysse
11:35 – 11:50 WP2.3 Nonlinear friction compensation in motion compensation systems with significant elasticity, Andrej Cibicik
11:50 – 12:45 Lunch + Poster Session
12:45 – 13:00 WP2.4 Vision Systems for Offshore Crane Control in Ship-to Ship Operations, Alexander Meyer Sjøberg
13:00 – 13:15 WP2.6 Real-Time Teleoperation and Model-based Control of Cranes with Loads, Philipp Schubert
13:15 – 13:35 WP2 Panel Discussion: Olav Egeland (NTNU), Peder Sletfjerding (NOV),
13:35 – 14:30 Lab Demonstrators
14:30 – 14:45 WP1.2 Using Digital Hydraulics in Secondary Control of Motor Drive, Sondre Nordås
14:45 – 15:00 WP1.3 Using Digital Hydraulics in Secondary Control of Cylinder Drive, Viktor Hristov Donkov
15:00 – 15:15 WP1.4 Electrical and Electrohydraulic Linear Actuators, Daniel Hagen
15:15 – 15:30 WP1.5 Energy Saving Potential in Knuckle Boom Cranes Using a Novel Pump Controlled Cylinder Drive, Søren Ketelsen
15:30 – 15:50 WP1 Panel Discussion: Morten Kjeld Ebbesen (UiA), Torben Ole Andersen (AAU), Olav Egeland (NTNU) and Eivind Gimming Stensland (MacGregor)
16:15 Common Bus Transport to Kjevik Airport