Full title of your research work
AI-Integrated Dynamic Risk Assessment for Human–Robot Collaborative Disassembly
Popularized title of your research work
Making Human–Robot Collaboration Safer with Artificial Intelligence
Short introduction
My name is Morteza Jalali-Alenjareghi, and I am a PhD candidate in Mathematics and Industrial Engineering. My research focuses on improving safety in human–robot collaborative disassembly by developing AI-integrated, dynamic risk assessment methods. The goal of my work is to move beyond static safety analyses and enable real-time, proactive safety intelligence that aligns with international standards.
What method did you use to explain your thesis in 3 minutes?
I used a problem–solution–impact storytelling approach, supported by simple visual metaphors. I first highlighted the safety challenges of human–robot collaboration in disassembly, then explained how AI enables real-time risk assessment, and finally emphasized the practical safety and industrial impact of my research.
How was your research topic inspired?
My research was inspired by the growing use of collaborative robots in industrial disassembly tasks, where humans and robots must work closely in unpredictable environments. I observed that existing safety methods are largely static and struggle to cope with real-time changes, which motivated me to explore how artificial intelligence could enhance safety decision-making and risk assessment in these settings.
If you could dedicate your research to someone (past, present, or future), who would it be and why?
I would dedicate my research to future engineers and operators who will work alongside collaborative robots. My goal is to help ensure that advanced automation technologies are not only efficient but also fundamentally safe and human-centered.
Three keywords to define your research work
Human–Robot Collaboration, Dynamic Risk Assessment, AI-Based Safety Systems
