Rimantas Barauskas

Professor at KTU Faculty of Informatics

Rimantas Barauskas is a professor at the KTU Faculty of Informatics, a habilitated doctor of technological sciences. The professor was awarded the Lithuanian national science prizes: 1996 for the series of works “Vibro-impact systems: research, optimization, application” (co-author – V. Ostaševičius), and in 2009 – for the textbook “Fundamentals of the Finite Element Method” and the cycle of works “The Finite Element Method: calculation methods and applications” (co-authors – R. Belevičius, R. Kačianauskas).

R. Barauskas has written about 250 articles, 6 monographs, 7 textbooks, supervised several doctoral students who defended their doctoral theses.

Research Areas

Numerical models of systems
Intelligent decision-making algorithms

Projects

Development of prototype of innovative champignon robotics technology

The successful development of the mushroom segment is related to automatization solutions, and so the Company’s subsidiary Baltic Champs, UAB with an external partner implemented the project “Development of prototype of innovative champignon robotics technology” co-financed by EU structural funds. The Company is using artificial intelligence and robotic systems for research and technological development to reduce the risk of infections and diseases in mushrooms, and to increase the yield and quality of the mushrooms.

Schedule Planning Algorithm for Creating the Work Schedule of Aircraft Service Personnel

An algorithm based on evolutionary algorithms is developed and further developed for staff scheduling, given a list of tasks and a set of constraints describing work rules (applied in the airport sphere). During the creation of the schedule, employee shifts are formed dynamically depending on the set of tasks, maintaining the relationship between the convenience of the work schedule for employees and the optimization of working time.

Adapting an AI-based trip generation algorithm to work in real-world conditions

The project is under development. Researchers develop a trip generation algorithm combining geographical, price and consumer behavior data by applying stimulatory learning. The results are relevant for those who want to receive individual travel offers.

Articles

No.	Title	Authors	Year
1.	Finite element analysis of resonant properties of silicon nanowires	Dalia Čalnerytė, Vidmantas Rimavičius, Rimantas Barauskas	2019
2.	Analysis of knitted fabrics deformations non-uniformity	Inga Audzevičiūtė-Liutkienė, Vitalija Masteikaitė, Milda Jucienė, Virginija Sacevičienė, Rimantas Barauskas, Saulius Diliūnas	2019
3.	Model based ultrasonic measurement technique for evaluation of the adhesive properties	Dobilas Liaukonis, Liudas Mažeika, Rimantas Barauskas, Audrius Nečiūnas	2018
4.	Calculating dispersion relations for waveguide immersed in perfect fluid	Audrius Nečiūnas, Martynas Patašius, Rimantas Barauskas	2018
5.	Investigation of the thermal properties of spacer fabrics with bio-ceramic additives using the finite element model and experiment	Rimantas Barauskas, Audronė Sankauskaitė, Aušra Abraitienė	2018

More scientific articles by Barauskas can be found here.

Publications in media

rimantas.barauskas@ktu.lt