Arthur ter Hofstede
Patterns: A Personal Reflection
In the (very) late nineties, I became involved in the Workflow Patterns Initiative. My first foray into patterns-related research. Over time, a number of different patterns collections would be defined and pattern-based evaluations conducted. In this talk I would like to reflect on my experiences with this type of research and discuss the use of patterns, the challenges in defining them, methodological considerations, and typical criticisms.
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My hometown is Henan Province, China. The Shaolin Temple in my hometown is famous around the world because of the Chinese Kung fu.
My Bachelor’s Degree was received from Zhengzhou University, China after four years (2010-2014) study majored in Biomedical Engineering. Then I was admitted into Zhejiang University as a Direct Ph.D. student in September, 2014. From March 2015 to December 2015, my work mainly focused on the standardization and mapping of Chinese clinical terminology and related Medical Terminology Services, which aimed to promote the medical information exchange and sharing. The technologies used included text similarity algorithm and Chinese words segmentation. In the end, I developed a web-based middleware software including terminology mapping and management services, which will be evaluated in a real hospital.
From the end of December of 2015, I was selected to take part in the Brain Bridge Project” Risk assessment to improve patient outcomes for cardiovascular diseases”. The goal of this project is to predict the risk of cardiovascular patients of different conditions using data mining technique so that practitioners can adopt suitable therapies.
On Monday 30 May 2016 4PM, Rob Vanwersch will defend his PhD thesis entitled “Rethinking care processes: Does anybody have an idea?” in Auditorium 4 at Eindhoven University of Technology.
Promoters: Prof.dr.ir. Paul Grefen and Prof.dr.ir. Hajo Reijers
Co-promoter: dr.ir. Irene Vanderfeesten
The summary of his PhD thesis, the propositions accompanying the dissertation, and the acknowledgements can be downloaded below:
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Information Quality, framing an evolving information management concept
Over the years information quality has been subject to many Ph.D research and MSc. projects in the information/software management research group of our capacity group Information Systems.
This presentation will position the information quality concept in a three-level framework, and will clarify characteristics of various research projects (in our group). On each level the focus areas of specification, metrication, standardisation and continuous improvement will be discussed.
In recent years the concept of information quality has evolved towards an IT Governance subject in inter-organisational networks. Some examples of this evolution will be presented with reference to current Ph.D projects in our research group.
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We are proud to announce that GameBus will serve as an enabling platform on an upcoming Hackathon (19-20 March) which is sponsored by the city of Eindhoven.
The Living Data Game Challenge is a two-day event where people with technical, design, and creative backgrounds join forces to tinker new solutions through collaborative development. The goal? To create playful applications for the municipality of Eindhoven, to inspire and challenge people to become more active, aware, social and happy!
GameBus provides a platform to turn cognitive, physical and social activities into an enjoyable gaming experience. You can connect your app or wearable to the GameBus API which will take care of a gamification layer (teams, leaderboards, badges). During the hackaton, Makers will receive on-site support from the GameBus project leader.
See http://openeindhoven.nl/schedule/ for the program.
GameBus is described on http://openeindhoven.nl/category/asset/:
As announced on that page, Pieter Van Gorp will spend his weekend on that Hackathon to provide support to makers. Of course, it would be great to see some of you over there too. This can be to participate, or just to enjoy the vibe!
Romain Emens received the second price in the ESTIEM 1st European Master Thesis Award contest from the scientific jury. The topic of his thesis is the dynamic visualisation of business process models. Romain graduated in October 2014 in the Information Systems group and was supervised by dr.ir. Irene Vanderfeesten en prof.dr.ir. Hajo Reijers. A digital copy of his thesis may be found here: http://alexandria.tue.nl/extra2/afstversl/tm/Emens_2015.pdf
All award winners are:
1st price (€1000): Koos de Glas – Medical Inventory Management in Developing Countries
2nd price (€500): Romain Emens – A dynamic visualisation of business process models for process participants
3rd price (€250): Otto Mertanen – Innovation Opportunity Mapping: MFC film as a packaging barrier
More information on the ESTIEM 1st European Master Thesis Award can be found on: https://www.estiem.org/default.aspx?PageId=2616 .
Supporting knowledge-intensive processes with case management
In recent years, case management has emerged as an approach to support knowledge workers in performing and coordinating business processes. These knowledge-intensive processes are semi-structured and can easily change. Case data and business rules determine the actual flow of work in a knowledge-intensive process. In this talk, I will discuss when to apply case management, how to design knowledge-intensive processes for case management, and how to manage changes in these knowledge-intensive processes.
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The Information Systems group is often contacted by industrial organizations with assignments that could lead to student projects at various levels (master thesis project, bachelor completion project, etc.) Through this website we make these topics available to our students. In this post, we announce one such project, involving company: KPMG
Vacancy titles for the semester starting in August/September 2016:
- within TU/e: Pieter Van Gorp
- within KPMG: Wesley van Renswouw
The organization (in Dutch)
KPMG Nederland biedt hoogwaardige dienstverlening op het gebied van audit en advisory – KPMG Meijburg & Co is specialist in tax. Zo adviseren we onder meer over prestatieverbetering en risicobeheersing, begeleiden we transacties en zijn we actief op het gebied van controle en verantwoording. En we zijn onderdeel van een groot internationaal netwerk.
KPMG - IT Advisory - In de afgelopen jaren is de IT-agenda steeds omvangrijker en complexer geworden. De aantrekkende economie zorgt ervoor dat organisaties weer nieuwe initiatieven nemen en oog hebben voor de mogelijkheden die de nieuwe technologieën bieden. In tijden van verandering is het niet alleen belangrijk om op de kosten te letten, maar tevens om de complexiteit te reduceren. Zodat je als organisatie wendbaar bent en eenvoudig in kan spelen op diverse ontwikkelingen.
Technologische ontwikkelingen gaan snel en er wordt steeds meer mogelijk. Het is zaak om vragen die in de business leven te vertalen naar relevante IT-toepassingen. Daar ondersteunt KPMG in. We maken het technische landschap van een organisatie minder complex. En helpen haar beter voorbereid te zijn op de toekomst.
Specific Areas of our KPMG contact:
The business value of big data: opportunities and challenges
Information and communication technologies are used to store and analyze increasing amounts of digital data. Although numerous advantages are associated with big data, research on the business value of big data is scarce. This presentation will report on some projects undertook towards identifying opportunities for obtaining business value out of big data. Two models will be discussed, which provide support (e.g., to decision makers/ stakeholders) in understanding how to derive value from big data.
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I received my Ph.D. degree in Computer Science from University of Manchester in UK. Before joining TU Eindhoven, I worked as an assistant professor in the Department of Econometrics at Erasmus University Rotterdam. Earlier, I worked in the Algorithmics group at TU Delft, in the Computational Intelligence group at TU Clausthal (Germany), and in the Institute for Advanced Computer Studies at University of Maryland, College Park, USA.
I consider myself an “Artificial Intelligence” researcher. During my Ph.D and post-doc period, I developed algorithms and mechanisms to solve multi-agent problems, i.e., task allocation, planning and scheduling problems that involve cooperative or self-interested players. Over the past a few years, I have been also investigating how data can help to improve decision making and optimization. For example, I designed machine learning methods to learn bidders’ behaviour models, and used the learned models to optimize auction design.
At TUE, I will continue my research on data driven decision making, algorithm design, (computational) game theory, and multi-agent systems. In addition, I am looking forward to learning new knowledge, tackling new application domains, and establishing new cooperations!