Gábor Kismihók

Dr. Gábor Kismihók is a senior researcher at the Corvinus University of Budapest specializing in learning analytics, ontology engineering, and AI-driven educational systems. His work bridges academic research with practical applications in career development, educational technology, and researcher mental health.

• Leading Learning and Skill Analytics research group
• Developing ontology-based educational systems since 2005
• Pioneering AI-driven career recommendation ontologies

His research focuses on:

• Personalized learning through knowledge graphs and semantic technologies
• Academic mental health advocacy and survey design
• Labor market intelligence integration with educational systems
• Mobile learning frameworks for vocational education
• Text mining applications in organizational research
• Competency validation between education and workplace

Recent publications demonstrate expertise in:

• Large language model integration for adaptive learning
• Geriatric care technology redefining nursing competencies
• Skills gap analysis in AI and big data
• Digital educational federation systems like DALIA FAIR
• Academic well-being measurement frameworks

He has contributed to:

• Multiple IEEE/ACM conference proceedings (2016-2023)
• European training networks like INSPIRE and ReMO COST Action
• Policy development through researcher well-being manifestos