Mehrdad Nojoumian

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Total Citations

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About

Mehrdad Nojoumian’s research lies at the intersection of cybersecurity, robotics, and human-robot interaction, with a particular focus on trust and safety in autonomous and assistive systems. His work explores how simulated robotic device malfunctions—designed to resemble malicious cyberattacks—can significantly alter human perceptions of trust, satisfaction, and frustration, a contribution that has garnered attention in the emerging field of cyber-physical security. In a notable 2019 study, he demonstrated how even subtle disruptions in prosthetic arm operations could erode user confidence, highlighting critical vulnerabilities in wearable and assistive technologies. Nojoumian has also advanced sensor technology, developing a robotic finger force sensor integrated into a glove-based system for evaluating the i-Limb Ultra prosthetic hand. His force-feedback approach, published in 2018, provides a novel method for measuring applied force through worn interfaces, with implications for rehabilitation and human-robot collaboration. While his citation counts are still growing—reflecting the nascent stage of his research areas—his work is foundational for understanding the psychological and technical dimensions of secure, trustworthy robotic systems. Nojoumian’s contributions are especially relevant for researchers exploring the intersection of cybersecurity, haptics, and human factors in robotics.