Personal highlights

Boy with paper plane illustration

Read about the personal highlights from our researchers and research teams in 2019.

Introduction of AI Research Centre

AI Team 700pxl


Many of the processes in our industries have been used for years, but new artificial intelligence technologies could dramatically change how they operates. At the same time, application and governance of these new technologies is an emerging task for DNV GL. As a newly established unit in Shanghai, Artificial intelligence Research Center aims to address them within two missions:

  • Utilizing digital technology to enhance existing services or create new services. Assuring digital technologies
  • Driven by many cutting-edge AI technologies (e.g. computer vision, deep learning, Internet of Things), the AIRC plans to set up two groups to achieve our mission: computer vision and Actionable IoT.

The computer vision group focuses on industrial research tackling the critical and complex challenge of applying computer vision to DNV GL’s business areas. We believe that the ability to see, to visually understand the complex world around us and respond to it, is critical for many of our businesses. This raises from demands of automation in these industries, especially for those where practical use relies heavily on human efforts. At the core technologies are computer vision algorithms – object detection and recognition to understand scene; visual SLAM to perform navigation, General Adversarial Networks (GAN) to perform risk management to many visual recognition systems, etc.

The Actionable IoT group will focus on algorithm controlled actionable IoT devices. IoT devices are creating smart cities, automated vessels and manufacturing. These kinds of devices are connected wirelessly to networks, while make decision on the edge – by deploying AI algorithms efficiently and self-responding remotely. Besides these advantages, a number of challenges can hinder the successful deployment of IoT system (sensors) and lends risks that DNV GL has never met before. The group aims to manage these risks by standardizing privacy and security of various kinds of IoT devices.

With these two groups, we hope to help our business areas become even more smarter and efficient.

Andreas Hafver, Senior Research Scientist, Oil & Gas

I’m a physicist and have worked in DNV GL for 5 years. In my unit we aim to develop the assurance and risk management services of the future. One of our bets is that operators and vendors in the future will have digital twins of all their assets and products, and this will change what services we provide and how we provide them. In 2019 we have seen this trend gaining momentum, accompanied by increased interest in our research from both customers and internal stakeholders.

I’m also excited to see that our unit’s work on AI and safety has resonated well with sentiments in the industry: To support confident decisions about safety, we need to supplement data with physics and take uncertainty into account.

Andreas Hafver

César Augusto Ramos de Carvalho, Senior Researcher, Digital Assurance

For the last nine years, I have been working with simulator-based testing of control system software (Marine Cybernetics and DNV GL Maritime). In 2019, I transferred to Group Technology and Research (GTR) within the Digital Assurance program. I’ve joined the group to contribute to the Open Simulation Platform (OSP) initiative and the Test System for Autonomous Vehicles (TestIT) project. The work on OSP focuses on development of technologies and services for building and maintaining digital twins based on time domain simulations. On the TestIT project, the idea is to develop technologies and services for assurance of autonomous vehicles. To me everything that involves simulation and testing is very exciting and I believe both initiatives are highly relevant to shape the future of class activities.

Cesar Ramon de Carvalh

Zhongning (Michael) Chen, Head of Artificial Intelligence Research Center

I have been serving DNV GL for 12 Years. Along those years, 2019 represents an exciting and fresh year for me. The AIRC (Artificial Intelligence Research Center) was established in March 2019, and everything is brand new; I have new and emerging technology to work on, a new unit to setup and new colleagues to work with. The most exciting thing is we released our first AI-based software POC called NDT.ai to help our customers and our surveyors.

With regards to the technology; the combination of AI, edge computing, 5G and IoT device are truly making things smarter now. However, it also generates new risks which we have never met before. As part of DNV GL, I hope I can contribute to both utilizing technology to enhance our services and to making the smart device safer.

Zhongning Chen

Jørgen Andreas Åm Vatn, Aquaculture Researcher, Ocean Space

June 5th, 2019 marked an exciting crossroads in my professional career, as I joined the Ocean Space program within DNV GL. As a veterinarian it has been an extraordinary journey, shifting from open spinal cord surgery towards multidisciplinary research within Group Technology and Research. In this inspiring environment I have seen new opportunities, new connections and most important of all made some great acquaintances! Working as an Aquaculture Researcher, my line of work lies in the intersection between fish health and new technology. This is a complex field of study with many current problems to solve, and thus it demands a complex area of expertise. By gathering knowledge from such areas as Machine Learning, Risk Management, Big Data and several others, I believe we in Ocean Space could gain a broader view and thereby uphold a strong position in the global Aquaculture Industry.

Jørgen Vatn

Serena Elizabeth Marshall, Precision Medicine Program, senior researcher, research area – bioinformatics for medical diagnostics

In November, I had the privilege of joining the Precision Medicine team in Group Technology and Research at DNV GL. Prior to this I have been involved in exciting academic research related to cancer, heart failure, and even; burn wound dressing development. The diverse nature and technical requirements of my previous roles have provided me with a creative foundation to build on in my new role. Being part of the inspiring and inclusive environment in GTR, where interdisciplinary knowledge is valued and promoted; forms an excellent platform to tackle the challenges relating to precision medicine. The nature and scale of this challenge requires collaboration, innovation and motivation on a national and international scale. DNV GL is establishing its’ role as a trusted player in this field, for example through pioneering work with NACG and BigMed, and I am excited to be part of developing this business opportunity.

Serena Elizabeth Marshall

Renzo Ruisi, Researcher, Power & Renewables

After joining DNV GL in 2014 and gaining valuable experience working as a wind energy consultant, I joined Group Technology and Research to focus on the interesting topic of wind farm control. It is very exciting to perform cutting-edge research on a topic that combines different aspects of wind energy technology, especially when working alongside very experienced colleagues and with the common goal of improving wind farms operations. In the past months, my research focused on the improvement of engineering wake models for the purpose of wind farm control applications involving the modelling of complex atmospheric conditions and the effect of yawed turbine rotors. The research we carry out on wind farm control has recently been used in high-profile EU-funded pilot projects: it is rewarding and inspirational to see all our hard work being applied in actual field tests and the results being presented at international conferences.

Renzo Ruisi

Vegard Kamsvåg, researcher, Maritime. Main research focus area: autonomous ships.

Since I joined DNV GL in January, 2019 has been an exciting and educational year for me. We have explored how we might verify and validate technologies for autonomous or remotely controlled ships, in order for DNV GL to be ready to provide assurance when they eventually set sail on the seas. We have worked closely with both industry and academia to achieve this goal through various projects, and by the end of the year we will deliver a framework for testing of situational awareness systems for autonomous navigation. This is a challenging task, not least because these systems employ machine learning methods for safety-critical functions, which is difficult to verify with traditional methods. I am very fortunate to work with dedicated and highly skilled colleagues, and I am exited to continue this work in the following years, making sure that DNV GL stays ahead of the curve.

Vegar Kamsvag