Symposium date:
September 8-11, 2024 | Manchester

Quiet Drones 2024

Technical Programme

Below is a draft of technical sessions (updated on 3rd February 2024).

 

Session Number

Session Title

Chair

Chair

1

Experimental Acoustic and Flow Measurements 

Nick Zang (University of Bristol) Tercio Lima Pereira (TU Delft)
2

Acoustic Detection and Identification of Drones 

Lucille Pinel-Lamotte (MicrodB) Martin Blass (Joanneum Research)
3

Human Response to Unmanned Aircraft Systems (UAS) Noise

Michael Lotinga (University     of Salford) Nathan Green (University of Salford)
4

Human Response to Urban Air Mobility (UAM) Noise

Roalt Aalmoes (NLR) Andrew Christian (NASA)
5

UAS/UAM Noise Standards (Measurement and Assessment)

Cesar Asensio (Technical University of Madrid) TBD
6

UAS/UAM Noise Regulations

Chris Hobbs (US Federal Aviation Administration) TBD
7

Auralisation and Acoustic Simulation

Siddhartha Krishnamurthy (NASA) James Woodcock (Arup)
8

Drone Audition - Listening with Drones

Kazuhiro Nakadai (Tokyo Institute of Technology) Lin Wang (Queen Mary University of London)
9

Community Impact, Engagement and Perception

Ingrid Legriffon (ONERA) Marc Green (University of Salford)
10

Noise Management of Commercial UAS/UAM Operations (including Vertidromes/Vertiports) 

Joseph J. Czech (HMMH) Marion Burgess (University of New South Wales)
11

Propeller, Rotorcraft and Motor Noise 

Chaitanya Paruchuri (University of Southampton) Deepak Akiwate (University of Salford)
12

Urban Air Mobility / Unmanned Air Vehicle and Electric Aircraft noise

Christophe Schram (von Karman Institute for Fluid Dynamics) Abdessalem Bouferrouk (University of the West of England)
13

Measurement Techniques – Field

Nico van Oosten (Anotec) Carlos Ramos Romero (University of Salford)
14

UAS Route Planning

John Kennedy (Trinity Colleague Dublin) Riul Jung (University of Salford)
15

UAM Noise Modelling and Low-Noise Route Planning 

Xin Zhang (Hong Kong University of Science and Technology) Siyang Zhong (Honk Kong Polytechnic University)
16

UAS/UAM Noise Prediction 

Damiano Casalino (3DS) Michael Kingan (University of Auckland)

 

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