Rate My Professor Nasrin Afsarimanesh

Dr. Nasrin Afsarimanesh serves as a Senior Lecturer in the School of Civil and Mechanical Engineering at Curtin University, within the Faculty of Science and Engineering. She obtained her Bachelor of Engineering in Electronics from Islamic Azad University, Iran, in 2006, followed by a Master's degree in Electronics from Savitribai Phule Pune University in 2008, and a Doctor of Philosophy in Engineering from Macquarie University in 2018. Her doctoral thesis focused on the development of a smart sensing system for the early detection of osteoporosis. Prior to joining Curtin University in July 2021 as a Lecturer, she conducted extensive research at Macquarie University's School of Engineering, contributing to advancements in sensor technologies during her PhD tenure from 2015 to 2019.

Dr. Afsarimanesh's research expertise encompasses sensors, smart sensing systems, and biomedical engineering, with specific emphasis on bioelectronics, electrochemical impedance spectroscopy, IoT-enabled sensing platforms, graphene-based sensors, flexible and wearable strain sensors, impedimetric microsensors, and biosensors for biomedical, environmental, and industrial applications. Her work includes developments in electrochemical biosensors for bone turnover markers like C-terminal telopeptide of type I collagen (CTX-I) and free calcium detection, as well as sensors for phosphate and sulfate ions in water, food quality inspection, and microorganism detection. She has published over 62 research items, with more than 1,500 citations. Notable publications include 'Sensing technologies for monitoring of bone-health: A review' (2018), 'Smart Sensing System for the Prognostic Monitoring of Bone Health' (2016), 'Silicon-Based Sensors for Biomedical Applications: A Review' (2019), 'A review on fabrication, characterization and implementation of wearable strain sensors' (2020), 'Interdigital sensors: Biomedical, environmental and industrial applications' (2020), 'Recent Advancements in Graphene-Based Implantable Electrodes for Neural Recording/Stimulation' (2023), and 'AI-Driven Time Series Forecasting of Coastal Water Quality Using Sentinel-2 Imagery' (2025). Her contributions have advanced point-of-care diagnostics and smart sensing innovations in health monitoring and environmental analysis.