Samira Keivanpour
Papers
13
Total Citations
151
H-Index
6
About
Samira Keivanpour is a leading researcher at the intersection of human-robot collaboration (HRC), smart manufacturing, and sustainable production systems. Her work addresses some of the most pressing challenges in modern industrial environments, particularly how humans and robots can work together safely, efficiently, and intelligently across assembly and disassembly tasks. Keivanpour's major contributions span several interconnected domains. She has advanced assembly line balancing under HRC frameworks, developed AI-driven risk assessment methodologies, and pioneered real-time disassembly planning using multi-agent deep reinforcement learning and fuzzy logic approaches. Her research consistently bridges theoretical optimization with practical safety concerns, integrating computer vision, large language models, and ergonomic risk prediction to protect human workers in collaborative robotic environments. Her 2023 review on HRC in assembly line balancing (41 citations) and her 2024 systematic review of AI-integrated safety risk assessment methods (34 citations) have quickly become influential reference points in the field. Beyond safety, Keivanpour champions sustainability, linking HRC to circular economy principles through intelligent disassembly of end-of-life products. With over 140 cumulative citations across recent publications alone, her rapidly growing impact reflects the urgency and relevance of her research agenda, making her an important voice shaping the future of human-centric, safe, and sustainable smart manufacturing.
Research Focus
Key Achievements
Top Papers
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- 9LLM-Driven FMEA for Safe Human-Robot Collaboration in Disassembly3 citations · 2025
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