Skip to content

Artificial Intelligence Centre

Kaunas University of Technology

About us

To promote fundamental and applied research in the field of artificial intelligence (AI), the results of which would lead to the development of innovative products with real practical application and commercial potential, KTU established the Artificial Intelligence Centre.

Today, the development of artificial intelligence (AI) is among the priorities of the European Union and Lithuanian policies. Lithuanian Artificial Intelligence Strategy indicates the creation of a national AI research centre and infrastructure as one of the major steps for implementation of the Strategy.

The KTU AI Centre is responsible for University policies development and activities coordination related to AI development, including the promotion and services of the project, non-formal education, and the representation of the University in national and international organisations and working parties.

The AI Centre aims to meet the needs of business and society, to develop and integrate AI solutions that allow to solving different problems in industry, medicine, and the public sector.

Cooperating with business partners, The AI Centre seeks to contribute to the development of the Lithuanian AI ecosystem. There is also a strong focus on stimulating young researchers’ – undergraduate and postgraduate students – interest in AI. The aim is to encourage their involvement in problem solving and research.

Researchers

Professor at KTU Faculty of Electrical and Electronics Engineering

Computer vision, assistance and robotic systems

Vidas Raudonis

Professor at KTU Faculty of Informatics

Intelligent decision making systems, image processing and analysis

Agnė Paulauskaitė-Tarasevičienė

Associate Professor at KTU Faculty of Mathematics and Natural Sciences

Biomedicine, computer vision, anomalies detection

Tomas Iešmantas

Senior Researcher at KTU Biomedical Engineering Institute

Biomedical engineering, physiological signal processing

Andrius Rapalis

Associate Professor at KTU Faculty of Informatics

Biomedicine, image and natural language signal processing and analysis

Mantas Lukoševičius

Professor at KTU Faculty of Informatics

Medical images processing, text syntax and semantics analysis

Evaldas Vaičiukynas

Professor, doctor of technical sciences

 

Biomedical engineering, data analysis processing

Antanas Verikas

Professor at KTU Faculty of Informatics

Numerical systems models, intelligent decision making algorithms

Rimantas Barauskas

Associate Professor at KTU Faculty of Mathematics and Natural Sciences

Financial and risk management, big data analysis

Kristina Šutienė

Professor at KTU Faculty of Electrical and Electronics Engineering

Intelligent control systems, robotics, bioengineering

Rimvydas Simutis

 Professor at KTU Faculty of Mathematics and Natural Sciences

Data analysis, risk management in business systems

Robertas Alzbutas

Associate Professor at KTU Faculty of Electrical and Electronics Engineering

Intelligent control systems

Arūnas Lipnickas

Associate Professor at KTU Faculty of Informatics

Modeling of physical behavior and multidisciplinary models

Dalia Čalnerytė

Professor at KTU Faculty of Informatics

Knowledge engineering, analysis of Lithuanian text semantics and syntax

Rimantas Butleris

Associate Professor at KTU Faculty of Informatics

Multidisciplinary models, optimization, image processing and analysis

Andrius Kriščiūnas

Research Infrastructure

University researchers implement research, experimental development, and innovation (R & D & I) projects and contracts commissioned by different institutions to contribute to the economic, social, and cultural growth of the country and to solve issues relevant to society with new scientific knowledge and inventions.

thomas-renaud-_i2uAmskZcQ-unsplash

Healthcare sector

KTU researchers carry out most of their scientific activities in medicine. Researchers are applying AI technologies to disease diagnosis, medical image processing, and segmentation, developing different prediction models, intelligent patient monitoring, decision-making, and assistance systems. KTU researchers apply machine learning algorithms to diagnose oncological diseases, while also multiple sclerosis, solving the problem of artificial insemination.

Researchers are also developing innovative wearable health monitoring devices. Devices can assess the level of pain experienced by patients, monitor and evaluate the condition of patients with chronic kidney disease, and identify triggers for paroxysmal atrial fibrillation. Researchers at the KTU Faculty of Mathematics and Natural Sciences have extensive experience applying nanotechnologies and AI technologies in radiology.

thisisengineering-raeng-B7rqd7NCe_g-unsplash

Business sector

One of the most important strategic goals of the KTU AI Centre is to strengthen cooperation and create greater synergy between higher education and business. The experience of KTU researchers can be useful for the country’s business and industry sectors, moving their activities to a higher level of digitisation. AI researchers can develop intelligent solutions to automate or robotise different processes required for defect and anomaly detection, large-scale data processing, intelligent control systems, and more.

ricardo-gomez-angel-5YM26lUicfU-unsplash

Public sector

The application of artificial intelligence in the public sector has great potential. There are many areas in which AI solutions could contribute to more efficient decision-making, from traffic management, and intelligent parking systems to IoT technologies in physical devices (such as waste containers).

Unfortunately, when comparing the extent to which IoT solutions are applied in the economy or the private sector, the public sector in Lithuania integrates AI technologies rather slowly and cautiously. KTU artificial intelligence researchers aim to respond to the needs of both business and the public sector and offer them personalised solutions. University researchers have experience developing intelligent traffic control and monitoring systems, pension fund regulation models, forecasting and data analysis models for the State Tax Inspectorate, and others.

jean-philippe-delberghe-75xPHEQBmvA-unsplash

Other sectors

Besides the medical, business, and public sectors, the researches of University carry out in-depth fundamental and applied research in the communications, agriculture, legal and other sectors. KTU researchers have a lot of experience developing automatic Lithuanian language analysis tools, automatic Lithuanian text editors, intelligent systems for automatic management, information processing and control in crop production, animal husbandry, and forestry.

STUDIES & TRAINING

Bachelor’s and Master’s degree studies, competitions, AI courses, non-formal education

More

Services

High Performance Computing (HPC) Solutions

More

Inquiry form

Cooperating with business partners, KTU AI Centre seeks to contribute to the development of the Lithuanian AI ecosystem. We invite you to cooperate!

Fill in the inquiry

Events

Contacts

Agnė Paulauskaitė-Tarasevičienė
Agnė Paulauskaitė-Tarasevičienė

Centro vadovė

K. Baršausko gatvė 59, Kaunas
email agne.paulauskaite-taraseviciene@ktu.lt

Artificial Intelligence Centre

email: dicentras@ktu.lt

Kaunas University of Technology

Company code: 111950581

VAT code: LT119505811

Address: K. Donelaičio St. 73, 44249 Kaunas, Lithuania