🧠 Scientific Interests of Kyrylo S. Malakhov

Kyrylo S. Malakhov’s research is focused on Artificial Intelligence, particularly in the following areas:

• Semantic Web
• Computational linguistics (NLP, NLU, NLI)
• Ontology engineering
• Digital health
• Hybrid e-rehabilitation / Telerehabilitation
• Current Research Information System (CRIS)
• Research and Development Workstation Environment (RDWE)
• e-learning

A central focus of his work is the development and enhancement of complex intelligent systems that support the full lifecycle of scientific research, with an emphasis on their practical applications in specific domains.

🧰 Research & Development Workstation Environment (RDWE)

Malakhov is co-author of the experimental RDWE system OntoChatGPT, a complex knowledge production environment. Functional methods developed for this system include:

• Automated generation of RDF/XML structures
  (multi-sets of RDF triples)

• Ontology-driven natural language dialogue
  Integrates large language models such as:
  • ChatGPT
  • Gemma
  • Llama
    With structured prompts to enhance dialog intelligence
• Structured prompt methodology for meta-learning in large language models
  (particularly for ChatGPT)

🏥 Applied AI in Telerehabilitation

Malakhov is actively developing and implementing comprehensive AI-driven information systems for the entire scientific research lifecycle in the field of physical and rehabilitation medicine, specifically in telerehabilitation.

These efforts aim to bring automation and intelligence to research workflows and expand the use of RDWE systems in healthcare innovation.

Check my Linktree: https://linktr.ee/malakhovks

Check my CV: https://malakhovks.github.io/cv/