I am a PhD student at the Department of Applied Mathematics of the Faculty of Information Technology at Czech Technical University in Prague and member of the Machine Learning & Computational Group.
Supervision of theses in the areas of data preprocessing, transfer and metric learning, educational data mining, data warehousing and business intelligence. If you are interested in any of these topics and would like a more specific assignment or if you have your own idea for a thesis, please do not hesitate to contact me.
Kubernátová P., Friedjungová M., van Duijn M.: Knowledge at First Glance: A Model for a Data Visualization Recommender System Suited for Non-expert Users, DATA 2018, (2018), 208-219.
Friedjungová M., Jiřina M.: An Overview of Transfer Learning Focused on Asymmetric Heterogeneous Approaches, DATA (Revised selected papers) 2017, (2017), 3-26.
Friedjungová M., Jiřina M.: Asymmetric Heterogeneous Transfer Learning: A Survey, DATA (2017), 17-27.
List of supervised students and their topics (in Czech).
Outside of the academic field I work as a data architect and data analyst for the university data warehouse. I also provide consulting in the area of mobile application testing (iOS, Android, focused on VOIP/SIP communication) externally. In the remaining time I co-organize 3D printing courses for the public. Please see my LinkedIn profile for more information.