Education

Teaching, subjects, and supervision

An overview of academic background, subject materials, and supervised student work.

3 degrees represented

5 subjects

2 teaching languages

Academic background

PhD in Computer Science

Autonomous Systems

Thesis: "Hypergraph-Based Semantic Models in Cognitive and Robotic Systems"Evaluation: Excellent (Summa Cum Laude)Szechenyi Istvan University, Multidisciplinary Doctoral School of Engineering

MSc in Computer Science

Critical Systems

Budapest University of Technology and Economics (BME)

BSc in Computer Science Budapest University of Technology and Economics (BME)

Teaching experience

University subject teaching

2022 - Present

Since 2022, my teaching activity has been organized primarily around full university subjects rather than standalone lectures, combining course design, subject maintenance, and teaching materials.

Teaching languages

EnglishHungarian

Subjects

Beágyazott rendszerek

Subject materials for Embedded Systems, covering microcontroller-oriented design, real-time operation, hardware-software integration, and engineering development workflows.

Subject information

Óbuda University Alkalmazott Mechatronikai Kar

Degree program

Mechatronics / Applied Engineering

Semesters

2025/26/II

Teaching languages

Hungarian

Open subject materials

Gyártásautomatizálás

Subject materials for Manufacturing Automation, including production systems, industrial control concepts, cyber-physical integration, and automation engineering workflows.

Subject information

Óbuda University Alkalmazott Mechatronikai Kar

Degree program

Mechatronics / Applied Engineering

Semesters

2025/26/II

Teaching languages

Hungarian

Open subject materials

Ipar 4.0

Subject materials for Industry 4.0, including course-level topics, engineering workflows, and supporting notes.

Subject information