Vilnius Gediminas Technical University (VGTU)


Institution  name: Vilnius Gediminas Technical University (VGTU)
Address: Saulėtekio al. 11, LT–10223 Vilnius
Country: Lithuania
vgtu
Research group: Mathematical Modelling (MM)
Director: Raimondas Čiegis
Address: Saulėtekio al. 11, 403 room. , LT–10223 Vilnius, Lithuania
 
 

 

Institution Background

Vilnius Gediminas Technical University (VGTU) is a Lithuanian University, fostering highly qualified and creative specialists. The University is the leader among the institutions of technological science education, ensuring modern studies, orientated to the labour market. Scientific research and experimental work is performed by 14 institutes, 2 research centres and 33 research laboratories. VGTU is proud of Civil Engineering Research Centre, the most modern centre in the Eastern Europe, as well as the Mobile Applications Laboratory, the biggest one in Lithuania. VGTU offers good opportunities for wide international studies and practice, being the first in Lithuania according to the number of students, studying abroad through the Erasmus Exchange Programme, and having more than 400 high school partners abroad. VGTU belongs to the top four percent of the best universities of the world, according to the data of the international university rating ‘‘2013–2014 QS World University Rankings”.

 

Research Group Background

The Mathematical Modelling Department was founded in 1995 after the division of the Mathematical Department into two. Prof. habil. Dr. Raimondas Čiegis became the head of the Department. The two main aims of the department are to train Mathematical science professionals carrying out the Undergraduate and Master “Technomathematics” programs (see “Technomathematics”) and teaching basic and specialised mathematical courses to students at other faculties. The academic research at the Mathematical Modelling Department focuses on methods of numerical solution of differential equations and on mathematical modelling of complex engineering and technology problems.

 

Major Interest in Action Scientific Topics

Parallel numerical algorithms for real world applications. Efficient algorithms on multicore heteregeneous clusters and supercomputers. Optimization of data communication algorithms and load balancing for MPI implementation of parallel algorithms for systems of PDEs.