Data Champions at the faculty of Aerospace Engineering

Assistant Professor
Faculty of Aerospace Engineering. Department: Aerospace Structures and Computational Mechanics

Areas of expertise:
Git, Github, Travis CI, Coverage, Python, Cython, C++, FORTRAN.

Contact information
Motivation

I believe my experience with scientific software development would contribute to the team.

Associate Professor
Faculty of Aerospace Engineering. Department: Aerospace Structures and Computational Mechanics

Areas of expertise:
Aerospace structures, Smart and aeroelastic structures, Numerical simulations, Experimental research.

Contact information
Motivation

It is important that we work as transparent as possible for two main reasons. First of all, to demonstrate our scientific integrity by showing that the claims we make and conclusions we draw are indeed backed up by the proper data. Secondly, to share these data to help other researchers and to create new contacts and collaborations. I want to encourage and convince all people that sharing and preserving data is not a burden, but that it creates new opportunities.  

Professor
Faculty of Aerospace Engineering. Department: Aerodynamics, Wind Energy and Propulsion

Areas of expertise:
The area of my research interests is theoretical and computational fluid dynamics with an emphasis on complex fluids and turbulence phenomena. I have fifteen years of experience on writing high-performance computing software for different supercomputer architectures and the processing of large datasets.

Contact information

E-mail: S.Hickel@tudelft.nl
Social media: LinkedIn
ORCiD: 0000-0002-7463-9531

Motivation

My primary research tools for investigating physical problems are numerical modeling and high-resolution simulation on massively parallel supercomputers. My students produce huge amounts of raw and post-processed data through high-performance computing, which is not only challenging from the technical point of view but also from the data management perspective around the daily handling and long-term storage of very valuable scientific datasets. I believe that effective and efficient data management practices and responsible data sharing are very important for my research field.

Assistant Professor
Faculty of Aerospace Engineering
Department: Control and Operations 

Areas of expertise:
My research aims to improve our understanding of the environmental impacts of combustion emissions from aviation and other energy and transportation sectors more broadly, and contribute to their sustainable growth. I am particularly interested in numerical and data-driven approaches.

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Motivation

Stronger collaboration and greater efficacy of research effort are my key motivations for data management and sharing. Good data management and code version control and distribution practices are crucial elements for collaborative, open-source, and reproducible research. Such practices also increase the efficiency of a research group, help organize institutional knowledge, and make transition of work much smoother.

Assistant Professor
Faculty of Aerospace Engineering. Department: Space Engineering

Areas of expertise: 
Guidance, navigation, and control; model-based fault diagnosis; fault-tolerant systems; distributed space systems

Contact information

E-mail: r.fonod@tudelft.nl
Tel: +31 15 27 84328
Social Media: LinkedIn
ORCiD: 0000-0002-9434-3156

Motivation

I am glad to witness the advent of a new era of openness in science. I was always supportive of the idea of open access, open data, and open education. I believe that open science has tremendous potential in bridging various research disciplines, enabling fast and systematic dissemination of research outputs, preserving data for future generations, ability to re-use (not inventing the wheel again), and equally importantly providing transparent means to tackle issues related to research integrity (e.g., open reviews, impartial replication and validation of results, etc.). I feel being among the first advocates of open data and open science at TU Delft can have meaningful impact not only on one’s own research and/or research group, but also on the entire research community in general. 

Assistent Professor
Faculty of Aerospace Engineering
Department: Aerospace Structures & Materials

Areas of expertise:
My academic expertise is on the fatigue and damage tolerance behaviour of aircraft materials and structures. Regarding data management: Open Science Framework and use of repositories such as Github.

Contact information
Motivation

The pace at which science and research advances at this current moment outpaces the traditional means of disseminating knowledge through journal articles. I feel that through pursuing a more open approach to sharing and disseminating your research, even while it is ongoing, will enable it to keep relevant and impactful.

Associate Professor
Faculty of Aerospace Engineering. Department: Control & Operations 

Areas of expertise:
My main research focus is to achieve autonomous flight of swarms of tiny flying robots. In order to achieve this, I investigate computationally efficient artificial intelligence, which is very much inspired by the intelligence of small flying insects. My areas of expertise are: artificial intelligence, computer vision, and machine learning for robotics.  

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The main reason is that I firmly believe in open science: sharing data, source code, and even hardware designs, allows others to reproduce your scientific experiments and findings with much less effort. Other researchers can then easily compare their work with yours, or build upon your work, so that together we can make much quicker progress. As a side-effect, it increases the impact of your work, both in terms of scientific citations and in terms of use by industry. Finally, providing open access to data and source code forces you to put in an additional effort in making it comprehensible and easy to use. This is not only useful to others, but also to yourself when you have to reuse it at a later date.