Data Champions at the faculty of Electrical Engineering, Mathmatics and Computer Science

Areas of expertise

Hydrodynamics (fluid mechanics, fluid dynamics), Computational fluid dynamics, Environmental fluid dynamics, Hydraulics, Hydraulic engineering, Functional expertise interest in allied disciplines (physics, mathematics, computer science, knowledge management).

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Motivation

In my research project I ingest considerable volumes of information coming from diverse disciplines, combine them, and produce huge amounts of simulation data using high-performance computing devices.

In managing these data and information I do affirm that questions of velocity, volume, veracity, voracity are hugely relevant at individual level well before talking of big data proper.

Knowledge management has always been important for personal development. Nowadays this has also become vital to weather the challenges of the working and social environments.

As a data champion at the Delft University of Technology I am always ready to engage in conversations and debates, and exchange stories of failures and successes together with my colleagues.

Areas of expertise

Reinforcement learning, Multiagent planning problems, Abstraction in Markov decision processes  

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Motivation

My daily job involves generating, storing and using data. I am interested in sharing common issues arising when dealing with data and hear from people from different context how they deal with that. I am particularly interested in discussing with people coming from different research areas the experiment and results reproducibility. This is indeed a daily issue in my job.

Areas of expertise

Bioinformatics, genomics, high performance computing, data integration

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Motivation

Every researcher needs to manage their data on a day-to-day basis, so it is important to do it properly. I have been a driving force for data management within our group/department and indirectly at the faculty and I would like to make other researchers aware that data management is a good idea.

Areas of expertise

Behaviour change support systems, human-computer interaction, user studies, interactive intelligence, intelligent conversational agent

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Motivation

Gone are the days where it was only important to report on your empirical findings. To move forward, we should be able to replicate each other's analyses. The first step, therefore, is data transparency. As a second step, I strongly believe also in sharing the program code for the analysis. Furthermore, for us to be effective, I am strongly in favour of support facility and procedures that can help us managing and share our data in an easy way.

Areas of expertise

Electrical engineering, Stochastic optimization 

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Motivation

Develop data management policy for my department.