Data Champions at the faculty Mechanical, Maritime and Materials

Postdoctoral Researcher
Faculty of Mechanical, Maritime and Materials Engineering (3mE)
Department: Cognitive Robotics

Areas of expertise
Crowdsourcing, outsourcing, sharing data at public repositories, git, Python, MATLAB, javascript for online-based research. 

Contact information
Motivation

TU Delft is doing a good job in the area of opening up science to the public and the rest of the scientific world. I would like to help to progress even further.

Associate Professor
Faculty of Mechanical, Maritime and Materials Engineering. Department: Delft Center for Systems and Control  

Areas of expertise:
Systems and Control, Optimization, Game Theory

Contact information
Motivation

Proper data and software management and sharing is becoming a priority for open science.

Assistant Professor
Faculty of Mechanical, Maritime and Materials Engineering
Engineering Thermodynamics

Areas of expertise:
I primarily focus on predicting the properties of materials and processes (from simple liquids to complex systems), employing state-of-the-art molecular simulation techniques. My efforts can ultimately lead to novel, improved systems with pre-designed properties in order to embrace today's societal and industrial challenges. 

Contact information
Motivation

As I always seek for better data management methods, meeting and working with other data champions will greatly strengthen my efforts. 

PhD Candidate 
Faculty of Mechanical, Maritime and Materials Engineering (3mE)
Department: Materials Science and Engineering

Areas of expertise:
Electrical engineering, Nanotechnology, Materials Science 

Contact information
Motivation

To promote a better data usage within the faculty; e.g. the creation of databases for sharing equipment, consumables, journal licenses, material data and images. 

Professor
Faculty of Mechanical, Maritime and Materials Engineering (3mE)
Department: Delft Center for Systems and Control

Areas of expertise:
Numerical linear algebra, Tensor methods, High-dimensional problems, System identification, Signal processing and Machine learning.

Contact information
Motivation

I am a strong believer in making results that are funded by tax payers' money public and open. I also think that science can progress faster if newly developed methods/ideas can be used freely and are available to everyone.  It is my belief that data management and sharing are basic skills that every student and staff member at TUDelft should master. Reproducibility of results is for me the minimal requirement when developing methods/algorithms/tools. I hope to be able to convince more people of this vision.

My short-term goal is to convince all staff members in my department to actively use data management and sharing tools. This involves the setup of a repository space for our department. Long-term goal is to be able to organize a compulsory course for students on data management and sharing.

Elena Zhebel

Research Software Engineer
Faculty of 3mE
Department of Precision and Microsystems Engineering (PME)

Areas of experise:
Scientific programming from development to production.
Programming languages C/C++, Fortran, Python, Pascal, CUDA, Matlab.
User of git (and GitLabs, GitHub), doxygen, PyCharm IDE and profiling tools.
Parallel programming, such as MPI, OpenMP, CUDA on GPUs.

Contact information

E-mail: e.v.zhebel@tudelft.nl 
Social Media: LinkedIn

Motivation

There is no cookbook on how to manage your software, your data, your research and how to make sure others can build on top of your work. Therefore I believe that sharing my experiences and learning from each other is very valuable and it is a first step of building up the knowledge and the community.

Assistant Professor 
Faculty of Mechanical, Maritime and Materials Engineering. Department: Computational Materials Science  

Areas of expertise:
Ab initio based study of coherent microstructure, Phase stability, Phase boundary, Precipitation kinetics, Hydrogen embrittlement 

Contact information

E-mail: P.Dey@tudelft.nl
Social media: LinkedIn

Motivation

This will provide me the opportunity to not only share my experiences but also learn from other Data Champions about other efficient ways of managing data. I will share the insights gained from such an exchange of ideas with my department members, which will be gainful for them. Furthermore, I am hopeful that my involvement in the Data Champion program will strengthen the connection between my department and the Data Management team of the University. 

Associate professor
Faculty of Mechanical, Maritime and Materials Engineering (3mE)

Areas of expertise
Human-subject research, automated driving, applied statistics

Contact Information
Motivation

I already do quite a bit of data sharing via data.4tu, and would like to extend this.
I want to make others in the faculty aware of data sharing, transparency, and replicability.