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

Research Associate
Faculty of Electrical Engineering, Mathematics and Computer Science
Department:Delft Institute of Applied Mathematics

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).

Contact information

E-mail: g.lipari@tudelft.nl 
Social Media: LinkedIn
ORCiD: 0000-0002-5680-2809

Motivation

In my research project I ingest considerable volumes of information coming from diverse disciplines and produce huge amount of data owing to the deployment of high-performance computing devices. 

My motivation for becoming a Data Champions is my belief that individual questions of velocity, volume, veracity, voracity in managing information are hugely relevant and overwhelming well before talking about big data proper. Knowledge management has always been important and now has become vital. 

I would like to share my experience with others, and I am ready to exchange failures and successes, and have a discussion with colleagues who are also interested in this topic.

Assistant Professor
Faculty of Electrical Engineering, Mathematics and Computer Science
Department: Intelligent Systems

Areas of expertise:
Bioinformatics, genomics, high performance computing, data integration

Contact information
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.

Associate Professor
Faculty of Electrical Engineering, Mathematics and Computer Science
Department: Electrical Sustainable Energy

Areas of expertise:
Electrical engineering, Stochastic optimization 

Contact information
Motivation

Develop data management policy for my department

PhD Candidate
Faculty of Electrical Engineering, Mathematics and Computer Science
Department: INSY, Interactive Intelligence

Areas of expertise:
Reinforcement learning, Multiagent planning problems, Abstraction in Markov decision processes  

Contact information
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.

Associate Professor
Faculty of Electrical Engineering, Mathmatics and Computer Science. Department of Intelligent Systems

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

Contact information
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.