Uranchimeg Tudevdagva was born in Ulaanbaatar, Mongolia. After high school, in 1987 she moved for study of informatics to Russia. She finished her undergraduate study at the Faculty of Automation and Computer Engineering at Novosibirsk Institute for Electrical Engineering. In 1992 she moved back to home country and started to teach at Power Engineering School of Mongolian University of Science and Technology. In 1997 she finished her graduated study and received a Magister degree in Automation and system engineering. From 1998 to 2001 she was granted a scholarship from her home university for a PhD study. In 2002 she moved back to Novosibirsk State Technical University where she finished her PhD thesis and in 2003 successful defended.
In 2004, she returned to home university, as associate Professor at the Power Engineering School. In 2007 she received scholarship from Russia for study for Doctor of Science. For family reason she could not use this opportunity and returned to home country where she continued to work on her field. In 2011 she received Grant from Schlumberger Foundation for Post-Doc study. With this grant she moved to Germany, to Chemnitz University of Technology. In 2014 she successful finished her Post-Doc thesis and received Dr.-Ing.habil. degree as Doctor of Science. Since 2008 she is working as full professor in Power Engineering School of MUST. Main working areas are e-learning and virtual laboratories.
In 2016 she received an invitation from Chemnitz University of Technology to teach as Professor of Computer Architecture. Since 2017 she is working as Scientist and Guest Professor at Faculty of Computer Science of Chemnitz University of Technology. She is main Editor of online journal ‘Embedded Selforganising Systems (ESS)’. In 2017 she received a honorary doctorate from the Novosibirsk State Technical University, Russia.
She has been teaching undergraduate and graduate courses in the thematic areas of programming languages, databases, artificial intelligence and theory of compiler. Her research interests cover the areas of artificial intelligence, decision support systems, experts systems, optimization, evaluation theory, evaluation models and e-learning. Last decade she is dealing with multidimensional evaluation models for e-learning and complex systems.
She leads and is included into active running projects: Automated Power Line Inspection (APOLI), DrIVE-MATH – development of innovative mathematical teaching strategies in European engineering degree programs, Learner Centred Learning. She has published 6 books, edited 3 books, 1 chapter in an Elsevier book. She published over 150 papers in journals and/or in International conferences. Prof. Uranchimeg Tudevdagva has supervised 1 Doctoral Thesis and around 30 Master Theses.
