Matt Bryan

Researching hybrid physics/ML models for active noise cancellation in nonlinear systems.

I am part of the Dynamics and Vibration Research Group (DVRG) at Cambridge University Engineering Department, supervised by Dr Tore Butlin and Dr Ole Nielsen (Bose Corporation - who are funding the work).
Before this, I completed my MEng and BA at Magdalene College, Cambridge, where I am now a Senior Scholar and teach Engineering Undergraduates.

Research Interests

I am particularly interested in dynamics, vibration, control, acoustics and physics-informed machine learning. My Master's degree focused on Mechanical and Information Engineering, including nonlinear vibration, numerical simulation, and practical experiments.

Skills and Qualifications

  • MEng with Distinction
    - Mechanical Engineering
    - University of Cambridge
  • BA (Cantab) First Class
    - Mechanical, Information & Control
    - University of Cambridge
  • Python (inc. PyTorch), TeX, MATLAB
  • Teaching:
    - Mechanics (1st Year UG)
    - Dynamics, Vibration, Control, Bicycle Design (3rd Year UG)
  • Often found cycling
  • ...or choral singing

Publications

Here is a growing list of my previous academic work:

Talk:
IOP PEML Workshop 2025

A talk on 'Hybrid models for Active Noise Reduction'.

Poster:
Hybrid models for Active Noise Reduction

Presented at the DVRG Tea Time Talks Poster Session, Oct 2025.

FYR:
Hybrid physics-machine-learning models for Active Noise Control

Report detailing work to date on characterising hybrid models for prediction in nonlinear systems (embargoed).

Poster:
ML for Active Noise Control

A poster investigating machine learning architectures in the context of nonlinear systems.
* 1st Place Poster at the Cambridge University Engineering Department Division C Graduate Conference 2025.

Thesis:
Pushing the bounds of energy harvesting

My MEng Project investigated bounds on energy harvesting devices, aiming to show that a rotational component could help improve performance. This involved verifying a numerical model against a practical piezoelectric rig.

Report:
Modelling XC Suspension

A Third Year 'Bicycle Design' project aiming to practically determine and model the parameters of mountain bike suspension on terrain of varying roughness and technicality.

mjb314@cam.ac.uk

Matt Bryan
Cambridge University Engineering Department
Trumpington Street
Cambridge
CB2 1PZ