MIKKEL BAUN KJÆRGAARD
Mikkel Baun Kjærgaard conducts research within the areas of ubiquitous computing (synonymous with pervasive computing), mobile computing, Internet of Things (IoT), artificial intelligence and energy informatics. He has developed new methods for improving indoor positioning using location fingerprinting, designed systems for sensor fusion for improved indoor positioning, developed methods for addressing power consumption issues for mobile sensing and positioning.
He has researched new applications within sensing of crowd behaviors and position-based logistics for large building complexes. Furthermore, he has developed systems for occupant sensing, designed building operating system services and developed applications of these within energy informatics for improving the energy efficiency and flexibility of buildings. His research results have been published at premier venues within pervasive computing such as ACM MobiSys, ACM BuildSys, Pervasive, ACM Ubicomp, IEEE Percom, IEEE Pervasive Computing and Elsevier Pervasive and Mobile Computing. The results of his research have also enabled several industrial strength research prototypes that have been commercialized.