Reza Akhavian
Papers
8
Total Citations
180
H-Index
4
About
Reza Akhavian is a pioneering researcher at the intersection of artificial intelligence, robotics, and the architecture, engineering, and construction (AEC) industry, with a particular focus on human-robot interaction and trustworthy autonomous systems. His work addresses one of the most pressing challenges in construction technology: how industry professionals can meaningfully trust and collaborate with AI-powered systems on job sites. Akhavian's most influential contribution, "Trustworthy AI and Robotics: Implications for the AEC Industry" (2022), has garnered 123 citations, establishing him as a leading voice on user acceptance frameworks for construction automation. Building on this foundation, he has employed structural equation modeling and qualitative empirical methods to systematically unpack the technical and psychological factors shaping trust in collaborative robots, or cobots. His research extends beyond trust theory into practical safety applications, including reinforcement learning approaches to ergonomic optimization in worker-robot collaboration and BIM-integrated pathfinding algorithms for safer robot navigation on construction sites. Collectively, his publications reflect a coherent research vision: accelerating the responsible digital transformation of the AEC industry by ensuring that intelligent systems are not only capable, but genuinely trustworthy and human-centered.
Research Focus
Key Achievements
Top Papers
- 1Trustworthy AI and robotics: Implications for the AEC industry123 citations · 2022
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- 4Artificial Intelligence in the Construction Industry8 citations · 2022
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- 7Safe and trustworthy robot pathfinding with BIM, MHA*, and NLP3 citations · 2025
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