In a world where urban congestion and traffic delays plague our daily lives, Arian Prabowo examines how artificial intelligence can transform urban progress. He delves into practical solutions like improving traffic flow through AI-powered traffic lights and real-time navigation systems that adapt to changing conditions. Prabowo also tackles the critical issue of AI systems’ vulnerability to errors in new and unexpected situations, emphasizing the need for more explainable algorithms. By exploring the potential of explainable AI, Prabowo envisions a future where transparent algorithms optimise city transport, making our commutes faster and more efficient while ensuring equity and fairness.
Dr Arian Prabowo
Dr Arian Prabowo is a Postdoctoral Fellow in Machine Learning at the School of Computer Science and Engineering at UNSW Engineering. Prabowo specializes in bespoke AI models for spatiotemporal data to achieve tangible real-world impact. The applications of his work include intelligent transports and smart buildings. He holds a PhD from RMIT University and is currently involved in the Digital Infrastructure Energy Flexibility project as a member of the CRUISE research group led by Prof. Flora Salim. Prabowo was part of the team that won first prize at FuelHack organized by Linfox and his traffic data plots were also nominated for the Beautiful Science Award.
For more videos like this subscribe to our channel: http://www.youtube.com/user/unsw?sub_confirmation=1
We’re the official channel of UNSW Sydney, a brilliantly located university between the coast and the city.
UNSW Sydney is one of Australia’s leading research and teaching universities. We’re a welcoming community, promoting lasting knowledge and creating an academic environment where outstanding students and scholars from around the world can be inspired to excel in their programs of study and research.