Thanks to my PhD in Artificial Intelligence, I am interested in all aspects of:

• Knowledge Representation and Reasoning (KRR),
• Statistical Relational Learning (SRL),
• Natural Language Processing (NLP),
• Graph Theory (GT).

My main area of expertise includes:

• Production Rule System (PRS) - Drools,
• Logic Programming (LP) - Prolog,
• Answer Set Programming (ASP) - Gringo/Clasp,
• Probabilistic Reasoning - LPAD/ProbLog/Markov Logic Networks,
• Knowledge Revision -- abductive, inductive and deductive reasoning.

I have work experience in:

• Natural Language Processing (NLP)
  • NLP libraries (Stanford CoreNLP/ClearNLP/*Apache OpenNLP and personal tools),
  • Topic Extraction and Clustering,
  • Named Entity Recognition,
  • Entity Linking;
• Machine Learning (ML)
  • Unsupervised and Supervised Algorithms,
  • ML Libraries (Apache Math/ML/Weka and personal tools),
  • mainly used in NLP and Computer Vision (CV);
• Closed World Assumption (CWA)
  • Graph databases (Neo4j),
  • NoSQL databases (MongoDB and other JPA-based repositories),
  • SQL databases (MySQL, SQLLite, JDBC);
• Open World Assumption (OWA)
  • RDF, OWL, etc. ontologies,
  • semantic tools like Protégé/Pellet/Jena,
• realtime Expert Systems (ES) / Decision Support Systems (DSS)
  • device for remote physiotherapy rehabilitation using CV,
  • recommendation system in eTourism,

I am proficient in many Java/JavaEE technologies and frameworks (Spring, Thymeleaf, Bootstrap) and I am also competent in other languages (C/C++, HTML/JavaScript, Python).