@inproceedings{atzmueller2012ubicon,
  author = {Atzmueller, Martin and Becker, Martin and Doerfel, Stephan and Kibanov, Mark and Hotho, Andreas and Macek, Bj\"orn-Elmar and Mitzlaff, Folke and Mueller, Juergen and Scholz, Christoph and Stumme, Gerd},
  booktitle = {Proc. 4th IEEE Intl. Conf. on Cyber, Physical and Social Computing (CPSCom 2012)},
  interhash = {a2695fd9fe6e76b252edbd42d72b34ad},
  intrahash = {5ff39a371dadedefd3abba84b26fd0e7},
  title = {Ubicon: Observing Social and Physical Activities},
  year = 2012
}

@inproceedings{mueller-2012,
  abstract = {The connection of ubiquitous and social computing is an emerging research  area which is combining two prominent areas of computer science.  In this paper, we tackle this topic from different angles: We describe  data mining methods for ubiquitous and social data, specifically  focusing on physical and social activities, and provide exemplary  analysis results. Furthermore, we give an overview on the Ubicon  platform which provides a framework for the creation and hosting  of ubiquitous and social applications for diverse tasks and projects.  Ubicon features the collection and analysis of both physical and  social activities of users for enabling inter-connected applications  in ubiquitous and social contexts. We summarize three real-world  systems built on top of Ubicon, and exemplarily discuss the according  mining and analysis aspects.},
  address = {Washington, DC, USA},
  author = {Atzmueller, Martin and Becker, Martin and Doerfel, Stephan and Kibanov, Mark and Hotho, Andreas and Macek, Björn-Elmar and Mitzlaff, Folke and Mueller, Juergen and Scholz, Christoph and Stumme, Gerd},
  booktitle = {IEEE International Conference on Cyber, Physical and Social Computing, CPSCom 2012, Besançon, France, 20-23 November, 2012},
  interhash = {a2695fd9fe6e76b252edbd42d72b34ad},
  intrahash = {90847b1d969ac1ed1f4c8d7146416619},
  publisher = {IEEE},
  title = {Ubicon: Observing Social and Physical Activities},
  year = 2012
}

@inproceedings{mueller-2012,
  abstract = {The connection of ubiquitous and social computing is an emerging research
 area which is combining two prominent areas of computer science.
 In this paper, we tackle this topic from different angles: We describe
 data mining methods for ubiquitous and social data, specifically
 focusing on physical and social activities, and provide exemplary
 analysis results. Furthermore, we give an overview on the Ubicon
 platform which provides a framework for the creation and hosting
 of ubiquitous and social applications for diverse tasks and projects.
 Ubicon features the collection and analysis of both physical and
 social activities of users for enabling inter-connected applications
 in ubiquitous and social contexts. We summarize three real-world
 systems built on top of Ubicon, and exemplarily discuss the according
 mining and analysis aspects.},
  address = {Washington, DC, USA},
  author = {Atzmueller, Martin and Becker, Martin and Doerfel, Stephan and Kibanov, Mark and Hotho, Andreas and Macek, Björn-Elmar and Mitzlaff, Folke and Mueller, Juergen and Scholz, Christoph and Stumme, Gerd},
  booktitle = {IEEE International Conference on Cyber, Physical and Social Computing, CPSCom 2012, Besançon, France, 20-23 November, 2012},
  interhash = {a2695fd9fe6e76b252edbd42d72b34ad},
  intrahash = {90847b1d969ac1ed1f4c8d7146416619},
  publisher = {IEEE},
  title = {Ubicon: Observing Social and Physical Activities},
  year = 2012
}

@inproceedings{kibanov2013select,
  abstract = {This paper describes a framework for evaluating and selecting suitable soft- ware tools for a software project, which is easily extendable depending on needs of the project. For an evaluation, we applied the presented framework in three different projects. These projects use different software development methods (from classical models to Scrum) in different environments (industry and academia). We discuss our experiences and the lessons learned.},
  author = {Kibanov, Mark and Erdmann, Dominik J. and Atzmueller, Martin},
  booktitle = {Software Engineering 2013 - Workshopband},
  editor = {Wagner, Stefan and Lichter, Horst},
  interhash = {5ca8db994c0eac678d74c889dc02eaee},
  intrahash = {a3fe7cf44007d0f52a16ae05da66c610},
  publisher = {Gesellschaft für Informatik},
  title = {How to Select a Suitable Tool for a Software Development Project: Three Case Studies and the Lessons Learned},
  url = {http://www4.in.tum.de/~kuhrmann/se2013/kibanov.pdf},
  year = 2013
}

@inproceedings{atzmueller2013towards,
  abstract = {With the rapid development of mobile technologies like, e.g., RFID tags, smartphones, and tablets, ambient intelligence applications have gained a huge popularity in recent years.
However, most of the existing approaches aim at developing ambient environments that are rather static, and do not take the aspect of social interaction between the inhabitants into account. We argue that this is essential for smart classrooms, meeting rooms and other environments that are strictly based on mechanisms of human face-to-face interactions. In the context of the smart university, we propose the ambient classroom system for enhancing collaborative educational processes using sensor fusion, data mining, semantic technologies, and inference methods.},
  author = {Atzmueller, Martin and Bobek, Szymon and Kibanov, Mark and Nalepa, Grzegorz J.},
  booktitle = {Context'13 - Smart University Workshop (SmartUni) 2013},
  editor = {Roth-Berghofer, Thomas and Oussena, Samia and Atzmueller, Martin},
  interhash = {69cbd239a85b5995c8d8fee31090dd59},
  intrahash = {accf589237bba2f2503fe5292565f6a8},
  title = {Towards the Ambient Classroom: An Environment for Enhancing Collaborative Educational Processes},
  year = 2013
}