Event Details
Singapore is a highly urbanised country with a population density of more than 8000 people per sq km. It is also a major air hub with a small and congested airspace. This presents unique conditions for the implementation of Advanced Air Mobility (AAM) systems.
Globally, a large number of electric vertical takeoff and landing vehicles (eVTOL) are being developed and AAM systems are expected to provide safe and scalable commercialisation of flight services. Applications span across cargo delivery, law enforcement and medical rescue solutions, as well as augmenting private and public transport systems.
Join us for this series of 3 webinars to learn about AAM for Singapore. This includes urban planning and infrastructure considerations, and airspace design & management for AAM. Gain an overview of key AAM topics and how they might apply in the Singapore context.
Click Register to attend Session 1 of the AAM Webinar Series !
Session 1 : Singapore and Advanced Air Mobility
Date : 19 November 2020 (Thursday)
Time : 1600hrs to 1730hrs (UTC +8)
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Programme
4:00 pm Welcome
Speaker: Mr Robin THEVATHASAN, Member of AAIS Panel of Experts
4:05 pm Opening Remarks: Advanced Air Mobility in Singapore
Speaker: Mr LING Yuan Chun
Vice-President and Head, Mobility at Singapore Economic Development Board
4:15 pm Regulatory Approach to Enable Advanced Air Mobility in Singapore
Speaker: Mr TAN Kah Han
Senior Director (Unmanned Systems Group) at Civil Aviation Authority of Singapore
4:30 pm Growing A Sustainable Air Mobility Ecosystem in Southeast Asia
Speaker: Mr CHU Hon Lung
Head of Singapore and Business Development Southeast Asia at Volocopter
4:45 pm What Can We Expect from Advanced Air Mobility from 2025 to 2035?
Speaker: Prof. James WANG
Director, eVTOL Research and Innovation Centre at Nanyang Technological University
5:00 pm Q & A Session
Moderator: Mr Robin THEVATHASAN, Member of AAIS Panel of Experts
5:30 pm End๏ปฟ
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* AAIS reserves the right to amend the webinar programme/ titles/ speakers, postpone or cancel the webinar due to unforeseen circumstances.