Personal highlights

Below you will find a selection of our researchers' top 2018 moments.

Marlon Polo de Melo

Marlon Polo de Melo, Senior Programmer, Precision Medicine

I joined DNV GL in April of 2018 as a developer. It has been a very challenging and exciting year for me, since I have had the opportunity to help our team to transform ideas in prototypes of software applications, using different programming languages, frameworks and services. For example, the Trusted Variant eXchange, as a web application and web APIs to enable responsible genomic data sharing between laboratories. Also, the REASON-MD web application to support manufactures to manage the conformity of their medical devices during the product life cycle.

In addition to the personal development and the networking opportunities that this role brings, together with my knowledgeable and funny colleagues, we are contributing directly to improve the implementation of precision medicine in clinical practice.

Nafiha Usman

Nafiha Usman, Principal Aquaculture Analyst, Ocean Space


What impressed me most in my first three months at DNV GL is the collaborative nature within DNV GL, how experts from other domains can help to develop knowledge in a new domain. What I do in the Ocean Space research programme connects two interests of mine, data analysis and fish, especially if the fish is on a plate.

We are working towards finding solutions and developing digital methods to ensure that there is fish on plate for the growing population and fish is farmed under sustainable farming practices and good welfare conditions.

Pau Mercade

Pau Mercade, Predictive Solar Maintenance, Power & Renewables


I am a solar researcher within the program of power and renewables, who started in DNV GL in mid-2018. Since start, my focus has been on exploiting data from the large Green Power Monitor (GPM) database to develop a predictive maintenance system for solar PV power plants. So far, we have approached this problem by building a data-driven model of a normally operating plant and using this as an early detector of plant malfunction. Among the different data-driven models that we have explored, I have been primarily focused on Long Short-Term Memory (LSTM) neural networks. The results we have got on the modelling part have been satisfactory, and so, we are now working on the early detection part. That is, a predictive system that will use the normally-operating plant model to inform when a failure event is likely to happen.

Henry Bartelet

Henry Antoine Bartelet, Researcher Energy Transition


Since April 2018 I work in the Energy Transition team as a researcher and modeller. What I think to be the most interesting part of my job is that within our energy transition group, we work on the interplay between all the different parts of the energy industry where our organization is active. We look at how, from a systems perspective, the energy system is transitioning from being fossil-dominated to becoming increasingly decarbonized. In my daily work I collaborate with our colleagues working in the different energy sectors to incorporate their knowledge and to use it to better understand how the energy transition will evolve over time. What’s very interesting is that our group is responsible for establishing DNV GL as a company that can forecast the future (of the energy system on a global basis). I am very happy to be a part of such an innovative part of the organization.

Qin Liang

Qin Liang, Researcher, Digital Class and Services, Maritime


In 2018 I started my journey in the Group Technology and Research (GTR) Maritime programme. DNVGL provides me a broader vision to see the rapidly changing maritime industry. GTR-Maritime has many stimulating digital transformation projects to explore future technology. Combined data with domain experts’ knowledge, we develop more accurate machine learning models to predict fuel consumption and emissions. Based on cooperation with industrial partners, we set up secure data pipelines and more data is continuously flowing into Veracity. We will adopt cloud technologies to analyze huge amounts of data to improve maritime safety in a more advanced way. I feel inspired to be a part of GTR-Maritime to lead the digitalization of maritime industry.

Luis Gerardo Guerra

Luis Gerardo Guerra, Predictive Solar Maintenance, Power & Renewables


I joined DNV GL in April 2018 as a researcher in the Power and Renewables program. My research is focused on the predictive maintenance of PV plants and during this time I have worked alongside other members of our group to identify different approaches to the subject. I have also been involved in submitting a pre-proposal for a Solar Era-net project which will develop a predictive maintenance system for PV plants based on Machine Learning models and IoT. I look forward to continuing the work we have started and exploring new potential research lines.

Andre Ødegårdstuen

André Ødegårdstuen, AI, Digital Assurance


One of the things that has excited me in 2018 is data programming, an approach to label large sets data by combining different sources of weak supervision. I believe this can help in addressing one of the current bottlenecks in practical applications of Machine Learning (ML) where we often have the data but not the labels we need to train our algorithms. It is also an opportunity to leverage the expertise of subject matter experts when creating ML models, something that is lacking in the most common practices today.

Meine van der Meulen

Meine van der Meulen, Functional Safety, Oil & Gas


I work on the Safety 4.0 project which is about making it easier and possible to introduce novel technologies for subsea. An example of this would be the development of all-electric Christmas trees with motor-driven actuators without a spring-return mechanism. This is not possible under the current regulatory framework, but since this technology will significantly reduce cost, there is a strong market push to make this happen. In our project we try to help by showing that the proposed solutions are sufficiently safe and – if necessary – to try to adapt the regulatory framework.

Now, what has been the most interesting technological advance related to my work? Well, earlier this year I went to the subsea conference in Kristiansand, and what struck me there was the entrepreneurship. Instead of finding a group of grey people discussing design solutions that have shown to work and will never ever be changed, I heard speaker after speaker tell about interesting innovative ideas. Designs for remotely operated vehicles, communication systems, subsea processing equipment, you name it.

Most important for my work is the advancement of power transmission. It is now economically feasible to send power over hundreds of kilometres using DC or low-frequency cables. This opens up for subsea installations without the necessity to build an accompanying topside. I feel this is a real game changer, and it really appealed to me as an electronics engineer.