NACH OBEN

Hesam Rezaee Ahvanouee
Hesam Rezaee Ahvanouee, M.Sc.
Wissenschaftlicher Mitarbeiter
 

Raum: ID 2/545
Telefon: +49 (0)234 / 32-15798
E-Mail


Postanschrift:
Ruhr-Universität Bochum
Fakultät Elektrotechnik und Informationstechnik
Lehrstuhl Automatisierungstechnik
Postfach ID 14
Universitätsstr. 150
44780 Bochum


Besucheranschrift:
Ruhr-Universität Bochum
Gebäude ID | Etage 2 | Raum 545
Universitätsstr. 150
44801 Bochum


Google Scholar:
https://scholar.google.com/citations?user=Up_jWfEAAAAJ&hl=en

LinkedIn:
https://at.linkedin.com/in/hesam-rezaee-9a778985

ORCID:
https://orcid.org/0000-0002-4371-5394

My research focuses on Industry 4.0, the next phase of industrial revolution characterized by smart automation, real-time data exchange, and cyber-physical systems. I explore how intelligent manufacturing and interconnected systems can enhance efficiency, flexibility, and responsiveness in modern production environments.

IEC 61499:
I work with IEC 61499, a standard for distributed control systems that supports modular, event-driven function blocks. It enables reconfigurable and scalable automation architectures, which are essential for realizing adaptive and decentralized Industry 4.0 systems.

Asset Administration Shell (AAS):
My research involves the Asset Administration Shell (AAS), a core concept in Industry 4.0 that provides a digital representation of assets. AAS enables standardized data exchange and interoperability between components, laying the foundation for seamless integration in smart factories.

AutomationML (AML):
I utilize AutomationML (AML), a neutral data format for exchanging plant engineering information. AML supports cross-domain integration by enabling consistent data sharing across mechanical, electrical, and control domains, promoting collaborative engineering.

Digital Twin:
I investigate Digital Twin technologies that create virtual models of physical assets or processes. These models mirror real-world behavior, enabling simulation, monitoring, and optimization, which significantly enhance predictive maintenance and operational efficiency.

2026:

  • Vereinheitlichte Steuerung von heterogenen Maschinen
    Nils Singhof, Masterarbeit, in Bearbeitung.

2025:

  • Automatische Erstellung von Anlagenbeschreibungen mit Hilfe von Large Language Models
    Sebastian Belzer, Bachelorarbeit, September 2025.
     
  • Nutzen der AAS für den Informationsaustausch im Engineering automatisierter Anlagen
    Viktor Vasilenko, B.Sc., Masterarbeit, Oktober 2025.
     
  • Systematische Validierung und Implementierung eines Simulators, basierend auf FMI und SSP
    Duc Long Chu, Bachelorarbeit, September 2025.
  1. Best Presentation Award für den Beitrag
    AAS-Based Event-Driven Alarm Notification System for Process Industry
    auf der 12th International Conference on Automation, Robotics and Applications (ICARA 2026) in Istanbul, Türkei

     
  2. Nominierung als Kandidat für Best Paper für den Beitrag
    Towards a Standardized and Dynamic Toolchain in Automation Engineering
    auf der IEEE Industrial Electronics Society Annual On-Line Conference (ONCON 2025)