Natural language processing and computational linguistics: distributional semantic models; compositional models of meaning; multimodal/crossmodal semantic models; socio-affective analysis of text (e.g., sentiment analysis); cognitively–motivated semantic models.

Information extraction: named entity recognition; relation extraction.

Speech processing: analysis of the emotional content of speech.

Spoken dialogue systems: corpus-based grammar induction for spoken language understanding;
identification of miscommunication spots in dialogues.

Machine learning: feature engineering (e.g., feature selection, dimensionality reduction, regularization); traditional parametric and non-parametric models (e.g., Bayes classifiers, Support Vector Machines, CART); deep neural networks (MLPs, RNNs).

Blockchain: blockchain based applications; scalability on blockchain and consensus algorithms; crossblockchain interoperability; programmable trust (e.g., smart contracts, oracles); integration of artifical intelligence and machine learning models with blockchain technologies.