Ing. Adam Kabát

PhD student in industrial engineering at the University of Žilina

I research how far AI can take over the steps of a manufacturing process, and how much human oversight has to stay.

Research focus

My work sits where industrial engineering meets applied AI. I look at manufacturing processes one step at a time and ask what AI can responsibly take over, what people must keep, and how the two work together in Industry 5.0.

  • AI readiness of manufacturing processes

    Deciding whether, when and to what extent a process step should be automated with AI, and what human oversight goes with it.

  • AI agents on the shop floor

    Multi-agent systems and operator assistants built on workflow orchestration in n8n, the Model Context Protocol and language models that run inside the company.

  • Process innovation and improvement

    Matching the method to the problem: Kaizen, Lean Six Sigma or a full process innovation.

  • People in automated work

    Mental workload, motivation and retention when processes change, so that automation serves the people who work with it.

Dissertation

Assessing Process Readiness for AI Automation in Manufacturing: A Method for Determining the Extent of Automation and Human Oversight

A manufacturing company rarely decides about adopting AI as a whole. It decides about one step in one workflow: can an AI system classify defects at final inspection, or draft a non-conformity report?

My dissertation develops a method for that decision. Its answer is not yes or no. It says how much of the step AI should do and what human oversight must go with it, taking the requirements of the EU AI Act into account.

Gathering information
Analysing it
Choosing a decision
Carrying out the action
The question I ask of every process step: where between a person and AI should each of the four stages of handling information sit? The stages follow Parasuraman, Sheridan and Wickens (2000). The marker positions are an illustration, not a result.
  • StageSecond year of study, literature review and method design
  • Supervisordoc. Ing. Martin Gašo, PhD.
  • Study programmeIndustrial Engineering
  • WorkplaceDepartment of Industrial Engineering, Faculty of Mechanical Engineering, University of Žilina

The title is a working title and may change before the thesis is submitted.

Projects

  • 2026 – 2027

    Research and implementation of multi-agent systems based on the n8n platform and the MCP protocol for intelligent process control in Industry 5.0

    A working prototype in which AI agents orchestrated in n8n read data from a network of IoT sensors and a simulated MES/ERP system through the Model Context Protocol.

    UNIZA Grant Project

    Principal investigator
  • 2025 – 2027

    Implementation of a digital twin platform in the educational process

    KEGA 017ŽU-4/2025

    Team member
  • 2025 – 2027

    Innovative methods and approaches in preparing graduates for intelligent manufacturing using Industry 4.0 technologies

    KEGA 011ŽU-4/2025

    Team member
  • 2024 – 2026

    Research and support of the synergistic effect of assembly process optimisation

    VEGA 1/0633/24

    Team member
  • 2024 – 2026

    Increasing the effectiveness of teaching quality-oriented subjects using virtual reality tools

    KEGA 001ŽU-4/2024

    Team member

Publications

Published

  • 2025

    The Methodology for Data Collection from a Holonic Manufacturing System

    Mičieta, B., Biňasová, V., Gašo, M., Kabát, A.

    Electronics, 14(24), 4865. Open access, indexed in Web of Science and Scopus.
    doi.org/10.3390/electronics14244865

    Journal article
  • 2025

    A Proposal for Sustainable Human Resource Improvement: Optimizing Employee Motivation and Retention in Real Estate Property Management – Case Study

    Kabát, A., Máchová, M., Gašo, M.

    Bielsko-Biała: Wydawnictwo Naukowe Uniwersytetu Bielsko-Bialskiego. ISBN 978-83-67652-50-6.
    doi.org/10.53052/9788367652506.12

    Conference paper

In press

  • 2026

    Utilization of Model Context Protocol as a Key Element of Interoperability in Heterogeneous Industrial Systems of Industry 4.0 and 5.0

    Kabát, A., Mičieta, B., Mičietová, A.

    InvEnt 2026, conference proceedings

    In press
  • 2026

    Classification of Process Improvement Methodologies in Industrial Engineering: A Hierarchical Selection Model for Kaizen, Lean Six Sigma and Process Innovation

    Kabát, A., Marčan, M., Máchová, M.

    InvEnt 2026, conference proceedings

    In press
  • 2026

    A Three-Layer Agentic Operator Assistant for Industry 5.0: Integrating RAG, Model Context Protocol and Workflow Orchestration

    Kabát, A., Gašo, M., Dulina, Ľ., Matys, M.

    TIABP 2026, conference proceedings

    In press
  • 2026

    A Proactive Work Humanisation Model as a Tool for Preventing Psychosocial Risks in Process Innovation

    Kabát, A.

    BOZP 2026, conference proceedings

    In press
  • 2026

    System One Decision Models in Industrial Automation: A Critical Assessment of TypeSafe’s Jev and a Confidence-Gated Architecture for n8n Workflows

    Kabát, A., Buzalka, M., Gašo, M.

    Engineer of the XXI Century 2026, conference proceedings

    In press
  • 2026

    Discrete-Event Simulation of a Hybrid Continuous–Discrete Production Line: A Modelling and Validation Methodology

    Hrivnáková, E., Kabát, A., Furmannová, B.

    Engineer of the XXI Century 2026, conference proceedings

    In press

Teaching

Management for first-year bachelor’s students in the Industrial Engineering study programme, University of Žilina.

Work experience

  • 2025 – now

    PhD student

    University of Žilina, Faculty of Mechanical Engineering, Department of Industrial Engineering

  • 2024 – 2025

    SME banker

    Tatra banka, a. s.

  • 2023 – 2024

    HR generalist

    SCONTO Nábytok, s. r. o.

    HR administration, HR marketing, the careers website and automation of administrative processes.

  • 2022 – 2023

    HR manager, paid internship

    PRIMA ZDROJ Považská Bystrica, spol. s r. o.

  • 2020 – 2024

    Own business

    WESE, s. r. o.

    Waste-collection products made from waste plastics. Part of the AccAceLife accelerator in 2021.

Education

  • 2025 – now

    PhD, Industrial Engineering

    University of Žilina, Faculty of Mechanical Engineering, Department of Industrial Engineering

  • 2021 – 2023

    Ing., Industrial Management

    Slovak University of Technology (STU), module Human Resources in an Industrial Enterprise

    Diploma thesis: Proposal for sustainable improvements in employee motivation at PRIMA ZDROJ Považská Bystrica.

  • 2018 – 2021

    Bc., Industrial Engineering

    University of Žilina, Department of Industrial Engineering

    Bachelor thesis: Using industrial engineering tools when starting a business.

  • 2014 – 2018

    Mechatronics

    Secondary Industrial Technical School, Trnava

    Final project: a portable retro game console with its own hardware, software and 3D-printed case.

Skills and languages

  • AI and automationn8n workflows, Model Context Protocol, LLM-based agents
  • Data and office toolsPower BI, MS Office, VBA
  • CADFusion 360, SolidWorks, Solid Edge
  • LanguagesSlovak (native), English (B2), German (A1)
  • CoursesMicrosoft Power BI I and II (2023, 2024), Java programming at Green Fox Academy (2023)

About Aderon

Aderon is the name of this site and of an idea in its early days: a research initiative that helps manufacturing companies bring AI into their processes, with a clear view of what to automate and what to leave with people.

Let’s work together

I welcome contact about joint projects, whether you come from industry or from research.

adam.kabat@fstroj.uniza.sk
Department of Industrial Engineering, Faculty of Mechanical Engineering
University of Žilina, Univerzitná 8215/1, 010 26 Žilina, Slovakia