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Suggested dissertation topics 2026
Informatics Engineering
Dissertation topics in Informatics Engineering science field:
Image emotion recognition by hierarchical deep neural network feature selection and decision optimization
Prof. Dr Habil. Romualdas Baušys (Publications)
Automated information security policy compliance monitoring and content updating using large language models
Prof. Dr Nikolaj Goranin (Publications)
Research on detection of deep packet inspection systems circumventing traffic and deep packet inspection bypassing methods
Prof. Dr Nikolaj Goranin (Publications)
Image emotion recognition by hierarchical deep neural network feature selection and decision optimization
Prof. Dr Habil. Romualdas Baušys (Publications)
Automated information security policy compliance monitoring and content updating using large language models
Prof. Dr Nikolaj Goranin (Publications)
Research on detection of deep packet inspection systems circumventing traffic and deep packet inspection bypassing methods
Prof. Dr Nikolaj Goranin (Publications)
Cybersecurity risk management in artificial intelligence area, based on modelling of attack vectors
Prof. Dr Simona Ramanauskaitė (Publications)
Automatic scaling and monitoring of parallel software on clouds
Prof. Dr Arnas Kačeniauskas (Publications)
Research on a fuzzy and machine learning based automation of a dynamic, knowledge-intensive and context dependent business process modelling and simulation
Prof. Dr Diana Kalibatienė (Publications)
A research on the process of evaluating applicants to university institutions based on the multimodal data fusion using artificial intelligence and fuzzy logic
Prof. Dr Diana Kalibatienė (Publications)
Microservice defect identification and prediction based on deep learning and continous delivery and integration data
Prof. Dr Dalius Mažeika (Publications)
Method for the impact of imputed generated data quality on the trustworthiness of AI models
Assoc. Prof. Dr Asta Slotkienė (Publications)
Prof. Dr Simona Ramanauskaitė (Publications)
Automatic scaling and monitoring of parallel software on clouds
Prof. Dr Arnas Kačeniauskas (Publications)
Research on a fuzzy and machine learning based automation of a dynamic, knowledge-intensive and context dependent business process modelling and simulation
Prof. Dr Diana Kalibatienė (Publications)
A research on the process of evaluating applicants to university institutions based on the multimodal data fusion using artificial intelligence and fuzzy logic
Prof. Dr Diana Kalibatienė (Publications)
Microservice defect identification and prediction based on deep learning and continous delivery and integration data
Prof. Dr Dalius Mažeika (Publications)
Method for the impact of imputed generated data quality on the trustworthiness of AI models
Assoc. Prof. Dr Asta Slotkienė (Publications)
Explainable artificial intelligence in healthcare
Prof. Dr Dmitrij Šešok (Publications)
End-to-end severity-aware triage and reporting decision support for multi-label chest radiography with explainable AI
Assoc. Prof. Dr Justas Trinkūnas (Publications)
Multimodal learning for flexographic print defect detection: combining deep learning, feature engineering, and synthetic data
Assoc. Prof. Dr Irina Vinogradova-Zinkevič (Publications)
Prof. Dr Dmitrij Šešok (Publications)
End-to-end severity-aware triage and reporting decision support for multi-label chest radiography with explainable AI
Assoc. Prof. Dr Justas Trinkūnas (Publications)
Multimodal learning for flexographic print defect detection: combining deep learning, feature engineering, and synthetic data
Assoc. Prof. Dr Irina Vinogradova-Zinkevič (Publications)
Dissertation topics in Informatics Engineering science field by VILNIUS TECH departments:
Department of Graphical Systems
mage emotion recognition by hierarchical deep neural network feature selection and decision optimization
Prof. Dr Habil. Romualdas Baušys (Publications)
Automatic scaling and monitoring of parallel software on clouds
Prof. Dr Arnas Kačeniauskas (Publications)
Prof. Dr Habil. Romualdas Baušys (Publications)
Automatic scaling and monitoring of parallel software on clouds
Prof. Dr Arnas Kačeniauskas (Publications)
Department of Information Systems
Automated information security policy compliance monitoring and content updating using large language models
Prof. Dr Nikolaj Goranin (Publications)
Research on detection of deep packet inspection systems circumventing traffic and deep packet inspection bypassing methods
Prof. Dr Nikolaj Goranin (Publications)
Research on a fuzzy and machine learning based automation of a dynamic, knowledge-intensive and context dependent business process modelling and simulation
Prof. Dr Diana Kalibatienė (Publications)
A research on the process of evaluating applicants to university institutions based on the multimodal data fusion using artificial intelligence and fuzzy logic
Prof. Dr Diana Kalibatienė (Publications)
Microservice defect identification and prediction based on deep learning and continous delivery and integration data
Prof. Dr Dalius Mažeika (Publications)
Method for the impact of imputed generated data quality on the trustworthiness of AI models
Assoc. Prof. Dr Asta Slotkienė (Publications)
End-to-end severity-aware triage and reporting decision support for multi-label chest radiography with explainable AI
Assoc. Prof. Dr Justas Trinkūnas (Publications)
Prof. Dr Nikolaj Goranin (Publications)
Research on detection of deep packet inspection systems circumventing traffic and deep packet inspection bypassing methods
Prof. Dr Nikolaj Goranin (Publications)
Research on a fuzzy and machine learning based automation of a dynamic, knowledge-intensive and context dependent business process modelling and simulation
Prof. Dr Diana Kalibatienė (Publications)
A research on the process of evaluating applicants to university institutions based on the multimodal data fusion using artificial intelligence and fuzzy logic
Prof. Dr Diana Kalibatienė (Publications)
Microservice defect identification and prediction based on deep learning and continous delivery and integration data
Prof. Dr Dalius Mažeika (Publications)
Method for the impact of imputed generated data quality on the trustworthiness of AI models
Assoc. Prof. Dr Asta Slotkienė (Publications)
End-to-end severity-aware triage and reporting decision support for multi-label chest radiography with explainable AI
Assoc. Prof. Dr Justas Trinkūnas (Publications)
Department of Information Technologies
Cybersecurity risk management in artificial intelligence area, based on modelling of attack vectors
Prof. Dr Simona Ramanauskaitė (Publications)
Explainable artificial intelligence in healthcare
Prof. Dr Dmitrij Šešok (Publications)
Multimodal learning for flexographic print defect detection: combining deep learning, feature engineering, and synthetic data
Assoc. Prof. Dr Irina Vinogradova-Zinkevič (Publications)
Prof. Dr Simona Ramanauskaitė (Publications)
Explainable artificial intelligence in healthcare
Prof. Dr Dmitrij Šešok (Publications)
Multimodal learning for flexographic print defect detection: combining deep learning, feature engineering, and synthetic data
Assoc. Prof. Dr Irina Vinogradova-Zinkevič (Publications)
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