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start [2017/10/17 15:51]
Joos Buijs
start [2018/01/19 15:59]
Joos Buijs
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 +**NOTICE: I'm no longer working at TU/e as assistant professor as of February 1, 2018.**
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 ====== Joos Buijs ====== ====== Joos Buijs ======
  
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 Joos' research is on the topic of **process mining** in the group of [[http://​wwwis.win.tue.nl/​~wvdaalst/​|prof. dr. ir. W.M.P. van der Aalst]]. Joos' research is on the topic of **process mining** in the group of [[http://​wwwis.win.tue.nl/​~wvdaalst/​|prof. dr. ir. W.M.P. van der Aalst]].
 His current research interests include: His current research interests include:
-  - **Process mining in healthcare**:​ costs are rising in healthcare and increasing process efficiency is one of the key changes to make to make the costs manageable. Applying process mining on the abundance of data available in hospitals, clinics and other medical institutions allows process improvement based on facts and data. Joos is one of the founding members of the [[http://​www.processmining4healthcare.org/​|Process Mining 4 Health Care]] initiative in which several researchers collaborate to apply and promote process mining in the healthcare setting. For his research Joos is actively collaborating with [[http://​mmc.nl/​|Maxima Medical Center]], [[https://​www.avl.nl/​|Antoni van Leeuwenhoek - Nederlands Kanker Instituut]],​ [[https://​www.lumc.nl/​|Leiden University Medical Center]] and others.+  - **Process mining in healthcare**:​ costs are rising in healthcare and increasing process efficiency is one of the key changes to make to make the costs manageable. Applying process mining on the abundance of data available in hospitals, clinics and other medical institutions allows process improvement based on facts and data. Joos is one of the founding members of the [[http://​www.processmining4healthcare.org/​|Process Mining 4 Health Care]] initiative in which several researchers collaborate to apply and promote process mining in the healthcare setting. Joos is working in the [[https://​www.tue.nl/​en/​research/​research-centers/​data-science-center-eindhoven-dsce/​about-dsce/​collaboration/​|Philips flagship 'Data science for Health'​]] where he [[research#​PhDs|supervises 2 PhD students]]. For his research Joos is also actively collaborating with [[http://​mmc.nl/​|Maxima ​Medical Center]], [[https://​www.iknl.nl/​over-iknl/​about-iknl| Netherlands Comprehensive Cancer Organisation (IKNL)]], [[http://​www.mumc.nl|Maastricht University ​Medical Center]], [[https://​www.avl.nl/​|Antoni van Leeuwenhoek - Nederlands Kanker Instituut]],​ [[https://​www.lumc.nl/​|Leiden University Medical Center]] and others.
   - **Learning analytics**:​ analysing how students learn can be used to improve efficacy and efficiency of MOOCs, but also physical lectures supported by technology (aka the '​flipped classroom'​). By applying process mining on learning data insights in the learning process can be obtained, which have proven to be a valuable addition to the data mining results. This research is funded by the [[http://​www.edsa-project.eu|European Data Science Academy (EDSA)]] project.   - **Learning analytics**:​ analysing how students learn can be used to improve efficacy and efficiency of MOOCs, but also physical lectures supported by technology (aka the '​flipped classroom'​). By applying process mining on learning data insights in the learning process can be obtained, which have proven to be a valuable addition to the data mining results. This research is funded by the [[http://​www.edsa-project.eu|European Data Science Academy (EDSA)]] project.