Acoustic technology presentation day

Come learn more about the latest research in acoustic technology, brought to you by employees and students at DTU Electro.

Sign up via email to Sara Gibson

9.30-9.45	Coffee
9.45-9.50	Welcome	Finn Agerkvist
9.50-10.10	Physics-Based Machine Learning for Acoustic Estimation Problems	Samuel Verburg
10.10-10.30	Physics-Motivated Machine Learning with Multi-Scale Sens-ing and Distributed Sensor Networks	Peter Gerstoft
10.30-10.50	Frequency and Spatial Limitations of Sound Field Recon-struction Methods for Navigable Reproduction	Antonio Figueroa Duran
10.50-11.00	Break
11.00-11.20	The Effect of Microgeometric Parameters on the Acoustic and Mechanical Properties of Kelvin Cell Foams	Zenong Cai
11.20-11.40	FEM Poroelastic Modeling of Porous Materials	Monica Ballesteros
11.40-12.00	Open floor discussion	All
12.00-12.45	Lunch
12.45-13.05	Transfer Path Analysis of Small Objects, Based on a Simpli-fied Hearing Aid Mockup	Weihan Shen
13.05-13.25	Sound Data Acquisition for Immersive Extended Reality Techniques	Yuanxin Xia
13.25-13.45	Holomorphic Neural Networks with Applications to Acous-tics	Matteo Calafa
13.45-14.00	Break
14.00-14.20	Prospects for Model Order Reduction in Shape Optimization	Lucas Quintans Kulakauskas
14.20-14.40	Modeling the Rotation of the Balanced Armature Receiver Chassis	Birgitte Bække
14.40-15.00	Uncertainty of Microphone Measurement	Teguh Aditanoyo
15.00-15.10	M.Sc. thesis project poster introduction	M.Sc. students
15.10-16.00	Poster session + cold drinks	M.Sc. students

Learn more about the Acoustic Technology group's activities here.

Finn T. Agerkvist Group Leader, Associate professor ftag@dtu.dk