Professor Jian Pei
Canada Research Chair and a Professor in the School of Computing Science at Simon Fraser University.
Enabling Intelligent Applications Using Graph Computing
Abstract: In many application scenarios ranging from social networks to IoT, we need to process and analyze a huge amount of data, connected, evolving, and linkages being more interesting than entities individually. Modeling such data as graphs provides a conceptually convenient way to support novel and meaningful intelligent applications. At the same time, it also posts grand challenges in many aspects, such as algorithm design and computing system development. In this talk, I will present some interesting and novel application scenarios where graphs play a central role, as well as the corresponding algorithm development. Moreover, I will briefly introduce our on-going effort to build a distributed cloud-based graph computing engine that can process and analyze huge graphs and networks of hundreds of billion edges in seconds.
Biography: Jian Pei is a Canada Research Chair and a Professor in the School of Computing Science at Simon Fraser University. During his current sabbatical leave, he is acting as the Chief Data/AI Scientist and a Technical VP of Huawei Technologies. His expertise is on developing effective and efficient data analysis techniques for novel data intensive applications. At the same time, he is also dedicated to professional services. Since 2000, he, with H-index 75, has published one textbook, two monographs and over 200 research papers in refereed journals and conferences, which have been cited by more than 74,000 times. He is the recipient of several prestigious awards, such as the ACM SIGKDD Innovation Award, the IEEE ICDM Research Contributions Award and the ACM SIGKDD Service Award. He is an ACM Fellow and an IEEE Fellow.
Host: Professor Renée J. Miller