Kenneth Grattan

Royal Academy of Engineering/ George Daniels Professor of Scientific Instrumentation

City of University City

United Kingdom

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About

Professor Kenneth Grattan is the George Daniels Professor of Scientific Instrumentation at City University, United Kingdom. His research focuses on advanced sensor technologies and measurement systems, specifically in the areas of interferometry, fiber optics, and active control strategies. Recent publications highlight his work on humidity measurements, dual-parameter sensors, and novel sensor designs for structural monitoring and biomedical applications.

Articles (14)

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2025

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2025

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2025

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2023

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2023

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2023

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2023

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2023

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2023

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2023

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2023

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2022

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2022

Collaborators (2)

Bruno Rente

Imperial College London

UNITED KINGDOM

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B M Azizur Rahman

Professor of Photonics

City University

UNITED KINGDOM

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Kenneth Grattan

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Articles (14)

Improved Vernier Effect Scheme Based on a Single Interferometer With Unique Wavelength and Compact Structure

Refractive index and temperature dual-parameter sensors based on loss mode resonance and directional coupler in side-polished hole-assisted dual-core fiber

Data-Based Active Vibration Control Strategy for Ultralow Frequency Isolation System Considering Sensor Noise Measurements

Highly Sensitive Humidity Measurement With Temperature Compensation Based on a Special Dual-Modal Interferometric Sensor and Varied Period Vernier Effect

Surface-Mounted Tilt Sensor Using Fiber Bragg Grating Technology for Engineered Slope Monitoring With Temperature Compensation

Study of the Velocity and Direction of Piezoelectric Robot Driven by Traveling Waves

Bioinspired claw-engaged and biolubricated swimming microrobots creating active retention in blood vessels

Broadband polarizer using single-layer grating with ultra-high extinction ratio

Detailed analysis of the R1f/ΔI1 WMS technique and demonstration of significantly higher detection sensitivity compared to 2f WMS for calibration-free trace gas sensing

Cantilevered microfiber Bragg Grating sensor with high ultrasonic sensitivity and designable resonant frequency

Sensor for simultaneous measurement of temperature and humidity based on a chirped fiber Bragg grating partially bonded with thick polyimide film

Velocity and Direction Adjustment of Actuated Droplets Using the Standing Wave Ratio of Surface Acoustic Waves (SAW)

Automatic rock classification of LIBS combined with 1DCNN based on an improved Bayesian optimization

A hybrid machine learning framework for joint SOC and SOH estimation of lithium-ion batteries assisted with fiber sensor measurements

Collaborators (2)

Bruno Rente

B M Azizur Rahman

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