Research

My primary area of research is Distributed Acoustic Sensing (DAS):

Transforming standard telecommunication fiber into dense seismic sensor arrays.
Studying DAS sensitivity and comparing it with conventional seismometers and geophones.
Applying array signal processing, machine learning, and adaptive filtering techniques to enhance DAS performance.
Using DAS for Newtonian noise mitigation in gravitational wave detectors, including conceptual designs for the Einstein Telescope.
Extending DAS applications to environmental monitoring, such as detecting microseismic activity, thunderstorms, tidal effects, and wind patterns.

In addition, I have experience in:

Developing enhanced interferometric DAS for improved low-frequency sensitivity.
Exploring structural monitoring using DAS.
Research in high-capacity optical networks, particularly addressing nonlinear Kerr effects and energy-efficient elastic optical networks.

Broader Interests

Beyond my research, I am interested in:

The use of distributed fiber sensors in early warning systems (e.g., natural hazards, climate risks).
Applications of array processing in underground sensing, marine environments, and defense technologies.
Advancing sensing infrastructure for the next generation of gravitational wave observatories.