Shervin Shirmohammadi

Papers

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About

Shervin Shirmohammadi is a leading figure in the fields of instrumentation, measurement, and the Internet of Things (IoT). His work bridges the gap between distributed sensing systems and practical industrial applications, with a particular focus on fault detection and autonomous robotics. His most cited paper, "The Potential of IoT for Instrumentation and Measurement" (2020, 39 citations), explores how IoT is revolutionizing data collection and collaboration across distributed networks—a foundational concept for modern smart systems. Shirmohammadi also made significant contributions to industrial robotics with his 2023 study on "Harmonic Reducer Fault Detection With Acoustic Emission" (35 citations), which introduced novel algorithms for monitoring the condition of critical robot components under high-torque conditions. More recently, his 2024 work on "Design and Implementation of a Line Follower Robot" (9 citations) demonstrates practical advances in autonomous navigation, tackling complex paths like spirals and sharp angles. With a career marked by high-impact, application-driven research, Shirmohammadi continues to shape how engineers integrate IoT and advanced sensing into real-world measurement and automation systems.