Dr. Zoltán Nyikes is an
Associate Professor and researcher specialising in cybersecurity, critical
infrastructure protection, industrial digitalisation, and advanced engineering
technologies. His work focuses on industrial control systems, operational technology
environments, Industry 4.0 infrastructures, cyber-physical systems, industrial
robotics, cloud computing, and information security. He has extensive
experience in vulnerability assessment, security auditing, cyber risk analysis,
and the application of international cybersecurity standards, including IEC
62443, NIST SP 800-82, the NIST Cybersecurity Framework, and NIS2-related
requirements. His current interests include the use of artificial intelligence
and machine learning in cybersecurity, industrial process optimisation, and
decision-support systems. His scientific activities also include advanced
manufacturing technologies, such as explosive welding, explosive cladding,
additive manufacturing, wire arc additive manufacturing, and AI-assisted manufacturing
optimisation. He contributes to international scientific cooperation as a
reviewer, editor, and scientific committee member for conferences and
peer-reviewed journals indexed in Scopus and Web of Science. His
interdisciplinary research connects information technology, engineering
sciences, manufacturing technologies, and critical infrastructure resilience,
with emphasis on practical industrial applications and emerging technological
challenges.
Dr. Zoltán Nyikes is an
Associate Professor and researcher specialising in cybersecurity, critical
infrastructure protection, industrial digitalisation, and advanced engineering
technologies. His work focuses on industrial control systems, operational technology
environments, Industry 4.0 infrastructures, cyber-physical systems, industrial
robotics, cloud computing, and information security. He has extensive
experience in vulnerability assessment, security auditing, cyber risk analysis,
and the application of international cybersecurity standards, including IEC
62443, NIST SP 800-82, the NIST Cybersecurity Framework, and NIS2-related
requirements. His current interests include the use of artificial intelligence
and machine learning in cybersecurity, industrial process optimisation, and
decision-support systems. His scientific activities also include advanced
manufacturing technologies, such as explosive welding, explosive cladding,
additive manufacturing, wire arc additive manufacturing, and AI-assisted manufacturing
optimisation. He contributes to international scientific cooperation as a
reviewer, editor, and scientific committee member for conferences and
peer-reviewed journals indexed in Scopus and Web of Science. His
interdisciplinary research connects information technology, engineering
sciences, manufacturing technologies, and critical infrastructure resilience,
with emphasis on practical industrial applications and emerging technological
challenges.