Research Group

Research Fellows

Dr Lara Flanagan

Research Fellow

Biography

Dr. Lara Flanagan is a Research Fellow in the Fluids, Acoustics and Vibration group at Trinity College Dublin, currently working on underwater acoustics. She is part of the SeaScan project, which transforms undersea fibre optic cables into large-scale acoustic sensor networks to detect “dark vessels.”

Her research interests include aeroacoustics, fluid-structure interaction, wave propagation in complex media, and acoustic metamaterials. She has developed efficient numerical and reduced-order models for absorptive structures and conducted experimental work using impedance eduction and PIV for boundary layer characterisation.

She was previously involved in an ADAPT–IMAX collaboration, focusing on improving loudspeaker performance behind LED cinema screens. Earlier, she worked at LAUM (CNRS-UMR 6613) with Safran Aircraft Engines on acoustic liner design for core engine noise reduction as part of the CIRRUS Clean Sky 2 programme. She received her Ph.D. from Trinity College Dublin in 2021 under the Horizon 2020 AERIALIST project.

Dr Marco Aurélio de Oliveira

Research Fellow

Biography

Dr Marco Oliveira is a Research Fellow in the Acoustics and Vibrations Group at Trinity College Dublin, where he conducts research on the noise impact of drones and electric aircraft, funded by the Head-Genuit Foundation.

With a PhD in Building Technology, he developed innovative façade solutions that integrate sound insulation and ventilation - a key challenge in sustainable architecture. He also holds a postdoc in Building Acoustics.

Before joining academia, Marco ran a successful architectural acoustics consultancy in Brazil for 20 years, working on projects for some of the country’s largest construction firms. His expertise spans practical industry applications and cutting-edge research, bridging the gap between acoustic design and emerging technologies like urban air mobility.

Research Students

Oluwaseyi Ogun

Research Student

Biography

Oluwaseyi Ogun holds a BSc in Chemical Engineering from Obafemi Awolowo University, Nigeria, with a focus on process control, and an MSc in Control Engineering from Coventry University, UK. He is currently completing a PhD at Trinity College Dublin, where his research focuses on the design of robust acoustic metamaterials for noise control applications using deep learning techniques.

Oluwaseyi has received several prestigious awards, including the CTAC Prize for Outstanding Achievement in Control Engineering from Coventry University, the Trinity College Dublin Provost’s Award for Doctoral Research, and First Place in the Postgraduate Research Competition organized by Engineers Ireland and the Institution of Mechanical Engineers.

His expertise spans system identification, modelling, optimisation, control engineering, acoustic metamaterials, noise control, and deep learning, with a research focus at the intersection of engineering design and artificial intelligence for acoustic applications.

Google Scholar: https://scholar.google.com/citations?user=FOB44ZgAAAAJ&hl=en&oi=ao

LinkedIn: linkedin.com/in/oluwaseyi-ogun-64371b68

Guo Ye

Research Student

Biography

Guo Ye holds a BSc in Ecology from Hainan University and an MSc in Geographic Information Science from the University of Manchester. He is currently pursuing his PhD at Trinity College Dublin, supported by a prestigious PhD studentship under the EPA-funded national research project Noise 2050 — a structured PhD network involving TCD, UCD, and the University of Galway.


His research interests focus on integrating 3S technologies (GIS, remote sensing, and GPS), machine Learning, and scenario-based modelling for environmental noise prediction, strategic noise mapping, and future noise hotspot analysis.


He was previously a member of the GIS, Mapping and Earth Observation (GISMEO) research community at the University of Manchester. He also gained industry experience at iFLYTEK, where he worked on intelligent in-vehicle voice recognition and human–machine interaction for the training of Spark Large Language Model. His previous research has been funded by the National Natural Science Foundation of China (NSFC) and the Hainan New Star Project.