Mr John Luo

John graduated from Monash University in 2006 with a double degree in Engineering with Honours (Electrical and Computer Systems) and Science (Computer Science). His undergraduate highlight was being co-team leader of the Monash University team, winning first place of 13 qualifying universities in the 2005 IEEE International Future Energy Challenge.

Since graduating, John has worked with Ford Motor Company for over 14 years. This global automotive and mobility company is headquartered in Michigan, United States, and has been operating in Australia since 1925. The company designs, manufactures, markets and services a full line of cars, trucks, SUVs, electrified vehicles and Lincoln luxury vehicles. It also provides financial services through Ford Motor Credit Company and is pursuing leadership positions in electrification, autonomous vehicles and mobility solutions.

John started his Product Development career in Melbourne and Geelong, working on large-scale global vehicle programs. John has worked abroad for over eight years. He relocated from Australia to China as a group product manager developing the electronic aspects of multiple vehicle programs. He then relocated to Silicon Valley to grow Ford’s footprint there by bringing together creatives and technologists in the autonomous vehicle and mobility sectors. Most notable projects include advancing LiDAR and Unmanned Aerial Vehicle (UAV or “Drone”) technologies.

John then returned to China to work directly with Ford China’s executive team as the Head of Advanced Technology Strategy and Planning to develop and deploy the digital transformation strategies through next generation Electrical Architecture, In-Vehicle Infotainment, Wireless Connectivity (5G, V2X), Mechatronics, ADAS and Autonomous Vehicles. John serves this role with over 10 years of technology, innovation and product management experience in Australia, China and Silicon Valley, working with global multidisciplinary teams to deliver complex vehicle programs and advanced technologies from concept to launch.

John continues to think deeply about applying various aspects of artificial intelligence to mobility, such as machine learning for operational efficiency and how knowledge engineering can power future digital assistants.