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Faculty of Fundamental Sciences
Faculty of Fundamental Sciences

Department of Information Technologies

The Department prepares specialists in information technology and artificial intelligence who are able to design, implement, and manage advanced IT and AI solutions, as well as analyse data. It conducts and develops research in machine learning, artificial intelligence solutions, digital twin modelling, and IT security assessment and risk management.
Phone: +370 5 274 4825; Email: fmit@vilniustech.lt
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About the Department

Founded in 1999, the Department of Information Technologies is led by Prof. Dr Dmitrij Šešok.

The Department’s History

Founded in 1999, the Department of Information Technologies is led by Prof. Dr Dmitrij Šešok.
The Department of Information Technologies aims to educate qualified IT specialists who are able to apply advanced knowledge in artificial intelligence, information security, and decision systems to solve real-world problems.

The Department’s Goal

The Department of Information Technologies aims to educate qualified IT specialists who are able to apply advanced knowledge in artificial intelligence, information security, and decision systems to solve real-world problems.
The Department conducts research in information security, artificial intelligence, and decision-making systems, including image recognition, medical data analysis, digital twins, e-learning, risk management, and parallel computing.

Areas of activity

The Department conducts research in information security, artificial intelligence, and decision-making systems, including image recognition, medical data analysis, digital twins, e-learning, risk management, and parallel computing.

Partners

Department of Information Technologies maintains active cooperation with social and business partners.

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Department Staff

The staff of the Department of Information Technologies are highly qualified IT specialists. They conduct research, deliver study courses to students, and develop advanced solutions in software engineering, artificial intelligence, process digitalisation, and cybersecurity.

Administration
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Research Staff
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