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You receive this new bi-monthly DSC/e newsletter because you have shown interest in or participated in DSC/e events in the past. If you would like to unsubscribe, click at the bottom of this newsletter

 
Dear Sir / Madam
It is my pleasure to introduce this new bimonthly DSC/e newsletter.  The world of data science is evolving rapidly. This newsletter is an attempt to give you a glimpse at the ongoing activities in the over 35 research groups of the Data Science Center Eindhoven (DSC/e). Moreover, the newsletter provides pointers to upcoming events organized by DSC/e and its partners and reports on collaborative projects with industry partners. We hope you will enjoy reading it. If you have news relevant for the DSC/e community, please send it to dsce@tue.nl.



prof.dr.ir. Wil van der Aalst
Scientific director DSC/e
PhD graduate enables headcams to recognize hand gestures
19 jan 2017
The emergence of digital cameras that can be worn on the head, incorporated into spectacles for instance, offers opportunities to automatically recognize hand movements and gestures. Which is useful for people who are convalescing or for controlling digital applications. Alejandro Betancourt received his PhD with distinction for his research that has made this possible. Read more

 
COINS: Construction Industry Grand Challenge winner
Controlling lighting locally per desk
8 feb 2017

Christel de Bakker, PhD candidate of the Building Lighting group, presented her research idea at the Coins Construction Industry Grand Challenge in London at the 8th of February. She won the sustainability challenge as well as the overall Bouygyues Special Discretionary R&D Award given out to the most promising application of all seventeen ideas. Read more

 
Football Analytics: Finding patters in passing behavior
 
Passing is the backbone of soccer and forms the basis of important decisions made by managers and owners; such as buying players, picking offensive or defensive strategies or even defining a style of play. These decisions can be supported by analyzing how a player performs and how his style affects team performance. The flow of a player or a team can be studied by finding unique patterns in passing (motifs) from the patterns in the subgraphs of a possession-passing network of soccer games. Read more
 
Dutch Data Science Awards
 
The Royal Holland Society of Sciences and Humanities (KHMW) and the Big Data Alliance (BDA) established the Dutch Data Science Awards to promote and highlight data science activities.
There are three types of prizes. See also. Researchers that received their PhD degree between January 2014 and January 2017 can compete for the Gerrit van Dijk Award. Supervisors: Please nominate your best PhD student. Former PhD students: You can also nominate you own thesis (with reference letter).
Entries for all categories must be submitted before March 21, 2017 on the following website. Looking forward to submissions from the DSC/e community!
DSC/e groups one-pagers available
 
Data science is by nature an interdisciplinary field that uses a variety of techniques to create value based on extracting knowledge and insights from available data. This is reflected by the large number of groups at the TU/e that are connected to the Data Science Center Eindhoven (DSC/e). Recently, all these groups made a one-page description about main research interests, key involved staff with specific expertise and some project examples. All of these pages are available on our website You can download the brochure containing all the one-pagers. Hard copy on request, please send us an e-mail.
Research Programs
 
Within the DSC/e we’ve setup a number or research programs. In these scientist from different groups are working around a specific application domain, each from his or her own expertise. Read more

Currently the following research programs are running:
  1. Customer Journey (lead by Mykola Pechenizkiy, M&CS)
  2. Internet of Things (lead by Antonio Liotta, EE)
  3. Quantified Self (lead by Aarnout Brombacher, ID)
  4. Smart Manufacturing and Maintenance (lead by Geert-Jan van Houtum, IE&IS
New projects in Data Science Flagship with Philips
 
The Flagship Data Science is the strategic partnership program between TU/e and Royal Philips on the subject of “Data Science for Health”. Various programs have been very successfully growing by means of new public-private partnerships in the context of various EU programs. Consequently, at this point in time, most of the programs have vacancies for PhD students.
 
A spin-off activity of the Flagship Data Science is the new ‘Introduction to Data Science for PDEng Clinical Informatics’ program that TU/e provides in the context of the collaboration between its School for Medical Physics and Engineering Eindhoven (SMPE/e) and a wide range of academic and top-clinical hospitals in the Netherlands.
Group in the spotlight: Innovation, Technology Entrepreneurship & Marketing
The Innovation, Technology Entrepreneurship & Marketing (ITEM) group has a special role in the DSC/e where it provides research and teaching on how to translate the data, data mining and visualization techniques into new business opportunities. Why? Because large volume, velocity, variety and veracity of data do not automatically mean that the data are also valuable for businesses. In the ITEM group, we focus on how to successfully set up and scale up data-driven businesses, thereby complementing the more technical research on algorithms and data mining techniques, as well as data engineering and visualization.
Read more
Project in the spotlight: Adaptive biofeedback: the data-driven future of pro soccer
The mental stress experienced by soccer players may negatively influence their playing performance. Excessive tension of the player can result in various emotional problems, such as loss of composure, aggression, anger, regression and fear, and it can put players at a higher risk of injury due to the decreased response time and disorientated attention level. 
Biofeedback (BFB) is one of the most powerful means to cope with competitive stress, helping the soccer player to lower arousal, improve self-regulation skills and optimize their resiliency to competitive stress.

Read more
Software in the spotlight: SRETool – Data-Driven Software Reliability Engineering
 
When software is too complex to allow for exhaustive testing, then a data-driven approach using software reliability growth models is widely used to support software release decision processes. The statistical analysis of software reliability growth models is not trivial due to the numerous available models. Moreover, existing software reliability tools do not make full use of state-of-the-art statistical methodology or do not conform to best practices in statistics.
Read more
Dataset in the spotlight: OpenML
Machine learning is becoming increasingly important in data-driven science. However, it is sometimes hard to know which algorithms to use, and how to use them correctly.

OpenML.org is a platform to easily share machine learning datasets, algorithms, models, and experiments. On the website, you can browse thousands of datasets, and see which machine learning algorithms were run, by whom, and how well they performed.

Read more
Events
Symposium Facets of Data Analytics, April 21
On April 21, 2017 the DSC/e will organize a symposium in honor of Lars Arge, who will receive an honorary doctorate from the TU/e. The symposium is free, however registration is necessary.
Lars Arge (Aarhus University, Denmark) is a pioneer in the area of memory-hierarchy efficient algorithms, especially I/O-efficient algorithms for problems involving massive datasets. He has worked on massive dataset problems in many fundamental areas, with an emphasis on I/O-efficient algorithms and data structures for problems with practical applications in geographical information systems and spatial databases..
For more information
Benelearn 2017, The annual machine learning conference of Belgium and The Netherlands, June 9-10
BeNeLearn serves as a forum for researchers to exchange ideas, present recent work, and foster collaboration in the broad field of Machine Learning and its applications. The 26th edition is hosted by the Data Mining group of Eindhoven University of Technology (TU/e) under the auspices of the Dutch Research School for Information and Knowledge Systems (SIKS) and Data Science Center Eindhoven (DSC/e). Benelearn 2017 is organized as a two-day event on 9-10 June 2017 at TU/e campus..
Read more
Other interesting events
The DSC/e is organizing several interesting events. If you are interested in a certain lectures or workshops please send us an email to dsce@tue.nl
Contact Data Science Center (DSC/e)
Wil van der Aalst | Scientific Director DSC/e
Mark Mietus | Director Operations DSC/e
Joos Buijs | Program Manager DSC/e
Henriette de Haas (Editor) | DSC/e
Patricia Knubben (Editor) | DSC/e
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