Research group - Multi-Disciplinary Models

Research Group Multidisciplinary Models (RGMM) conducts research on the development of complex systems models and simulation algorithms by using the methods of mathematics and informatics. The models under consideration are based on mathematical equations (eg physical behaviour models) or algorithms for the functioning of the system under study (eg. Simulation modelling). Computational models of physical systems and processes are one of the research fields of the science of Informatics, which dates back to 1950-60. At this time the research field of Computational mechanics emerged. Computational mechanics was focused on the use of computers for investigating phenomena and processes governed by the laws of physics. In the early stage, scientific computing as an alternative way of analyzing phenomena along with pure theoretical and experimental studies was considered one of the subjects of Applied Mechanics. At present, Computational mechanics is considered to be the subject of Computational Science. The investigations carried out by RGMM are mostly interdisciplinary. They are based on mathematics, computer science and physics. Computational fluid dynamics (CFD), computational electromagnetics, and computational solid mechanics are some of the many possible specializations. The closely related field of research is the creation of Physically-based animation, which is used in computer graphics for the synthesis of physically realistic or close-to-reality visual effects.

Research topics:

  1. Finite element models for studies of decay and composite dynamics
  2. Finite element models for the study of elastic and acoustic wave propagation in rigid bodies and fluids
  3. Models of heat and mass transfer between the environment, the composite and the human body
  4. Biomechanical models of the human occlusion for applications in dentistry
  5. Simulation models of processes
  6. Characterization of images and signals using methods of approximation and artificial intelligence.


Priorities of R&D Activities Digital Transformation
Smart Cities and Resilient Communities
Lithuanian Smart Specialization Areas and Priorities
Inclusive and creative society
Information and communication technologies
Research Fields
Applied Mathematics
Information and Communication Technologies



Doctoral students




Research services