Conferences and Seminars

Conferences will disseminat TUAI results to academic and research community. The informational materials, which will be presented as papers and the other features that are used during the seminars and conferences, will be made accessible to the worldwide scientific community. 


Motivation: the research communities are interested in new ML methods and emerging AI application areas as enabling factor for sustainable development in many research domains. TUAI project allows for comprehensive presentation of new research trends in: advanced time series analysis, explainable AI, transfer learning, visual analytics, federated learning in generative models, graph neural networks, lightweight models for real-time applications and sustainable and trustworthy AI development. The project will also address more target-oriented application areas such as collaborative sensor fusion, obstacle recognition and detection models for accurate perception, trust reinforcement in safety-critical AI Ecosystems.


Expected outcome: 

  • open access papers in international peer-reviewed journals, e.g., Applied Soft Computing, Pattern Analysis and Applications, Engineering Applications of Artificial Intelligence, Expert Systems with Applications, Engineering Applications of Artificial Intelligence, IEEE Transactions on Cybernetics, IEEE Transaction on Artificial Intelligence, Computers in Industry, IEEE Access, International Journal of Computer Integrated Manufacturing; 
  • presentations at international conferences e.g., IEEE International Conference on Data Mining, International Joint Conference on Artificial Intelligence, ACM International Conference on Knowledge Discovery and Data Mining, Advances in Neural Information Processing Systems, SIAM International Conference on Data Mining, IEEE International Conference on Big Data, ICCCI – International Conference on Computational Collective Intelligence, IEEE International Conference on Industrial Technology ACIIDS – Asian Conference on Intelligent Information and Database Systems, etc.; 
  • shared datasets and software libraries created during university research part via GitHub platform; 
  • project leaflets and project posters that will be distributed and presented during scientific conferences and outreach events and 
  • research communication out of the network including related MSCA DN projects.