Research

I work on distributed acoustic sensing (DAS), using telecommunication fiber as a dense seismic array. My research combines low-noise DAS system development with advanced signal processing to improve the sensitivity and reliability of fiber-optic sensing. I am developing low-noise DAS systems with sensitivity beyond that of current commercial systems, enabling the detection and characterization of increasingly weak signals. My work spans applications from gravitational-wave detectors to seismic and environmental monitoring, with a focus on developing signal-processing methods to identify weak signals, suppress instrumental noise and artifacts, and extract meaningful information from complex measurements.

Distributed acoustic sensing

My primary area - telecommunication fiber as a dense seismic array.

Transforming standard telecom fiber into dense seismic sensor arrays
Characterising DAS sensitivity against conventional seismometers and geophones
Array signal processing, machine learning and adaptive filtering to enhance DAS performance
Enhanced interferometric DAS for improved low-frequency sensitivity

Gravitational-wave science

Using DAS to push down the seismic and Newtonian-noise floor.

DAS arrays for Newtonian-noise mitigation in current and future detectors
Conceptual designs toward the Einstein Telescope
Sensor placement, Wiener filtering, MVDR and ML-based noise cancellation

Environmental & structural sensing

Detecting microseismic activity, thunderstorms, tidal effects and wind patterns
DAS monitoring of concrete curing and structural response
Coherence analysis with PCA, EOF and semblance methods
Distributed fiber sensors in early-warning systems for natural and climate hazards

High Capacity Optical Communication & networks

High-capacity optical communication and nonlinear Kerr-effect mitigation
Energy-efficient elastic optical networks
Adapting telecom infrastructure for sensing applications