Papers

22

Total Citations

301

H-Index

10

About

Munir Merdan is a prolific researcher whose work spans industrial robotics, knowledge-driven automation, cyber-physical systems, and STEM education. His career has been defined by a sustained effort to make robotic and disassembly systems smarter, more adaptive, and more accessible. Among his most influential contributions is his pioneering work on ontology-based automated disassembly systems (2010, 43 citations), which addressed the challenge of efficiently processing Waste Electrical and Electronic Equipment by enabling more flexible, reusable automation frameworks. He has continued this thread through groundbreaking research on knowledge-driven frameworks for industrial robotics (2021, 35 citations) and cyber-physical systems for assembly automation (2019, 29 citations), advancing the field of intelligent manufacturing. His work on cloud-based digital twins and human–robot collaboration using virtual reality further demonstrates his commitment to integrating emerging technologies into practical industrial settings. Beyond engineering research, Merdan has made notable contributions to robotics education, co-editing the widely referenced volume *Robotics in Education* (2019, 23 citations) and exploring innovative STEM engagement strategies for young learners. His diverse body of work, accumulating hundreds of citations, marks him as a versatile and impactful voice bridging advanced automation research and educational innovation.

Research Focus

Key Achievements

10
H-Index
22
Papers
301
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Towards ontology-based automated disassembly systems
43 citations · 2010
📈 Most Prolific Year: 2019 (4 Papers)
🤝 Key Collaborators: 38
🏛 Institutions: TU Wien, Austrian Research Institute for Artificial Intelligence, Practical Robotics Institute Austria

Top Papers

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    Cutting Edge Robotics
    27 citations · 2005
  6. 6
    Robotics in Education
    23 citations · 2019
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago