Feng Ling is a Scientist at the Institute of High Performance Computing, A*STAR Singapore, and Adjunct Assistant Professor in Physics at the National University of Singapore. He has been working in the theory of complexity and its applications in applications ranging from social networks and deep neural networks.
His current interest focuses on the physics of deep learning, striving to open up the black box of artificial intelligence with complexity theories in dynamical systems, such that more principled model construction and training algorithm can be developed. His past research focused on the complexity phenomenon in networks, in particular spreading phenomena in both online social networks and epidemics, as well as econophysics.
His research has generated insightful theories and computational algorithms for networks spreading monitoring and maximization, linking prediction, and more recently deep learning. Some of the works are published in high impact journals like Nature Communications and Proceedings of the National Academy of Sciences.
About the Series
As part of the Asian Institute of Management's PhD in Data Science program kick-off, we are organizing a webinar series titled The Science of Data where we have invited leading scientists and rising stars in the fields of Data Science, Artificial Intelligence, Network Science, and Complex Systems.
Our main goal in this series is to spread knowledge and awareness of the rich field of data-driven and empirical science, and to inspire future scientists and young researchers in this part of the world to further invest their time in advancing science through R&D.
The series will run from October through December 2020.