Monire Norouzi
Papers
4
Total Citations
62
H-Index
4
About
Dr. Monire Norouzi’s research bridges the critical intersection of autonomous mobile robotics and cybersecurity, with a particular focus on intelligent navigation and industrial IoT safety. Her foundational work in mobile robotics addresses one of the field’s most persistent challenges: enabling robots to navigate autonomously in crowded, unknown environments. Her 2009 paper on fuzzy controller-based obstacle avoidance (9 citations) and her novel recursive line extraction algorithm from 2D laser scanners (6 citations) introduced efficient, robust methods for real-time navigation and mapping, demonstrating exceptional precision in noisy, cluttered settings. Building on this, her 2013 study on planning stable, efficient paths for articulated mobile robots on challenging terrains (4 citations) provided analytical strategies crucial for search-and-rescue operations. Most notably, Dr. Norouzi’s recent 2023 work on a cloud-based cyber-attack detection architecture for hyper-automation in the Industrial Internet of Things (43 citations) marks a significant pivot, addressing the growing vulnerability of automated systems. This highly cited contribution showcases her ability to evolve with technological demands, applying her deep understanding of autonomous systems to safeguard next-generation industrial processes. Her career reflects a rare versatility—from laser-based navigation to cloud security—making her a distinctive voice in both robotics and cyber-physical systems.
Research Focus
Key Achievements
Top Papers
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