Cooperative Adaptive Signal Processing Over Networks

SpeakerJie Chen

Title: Cooperative Adaptive Signal Processing Over Networks

Time: Friday, January 19, 2018, 10:00am

Location: Room 327, Boxi Building, Tiancizhuang Campus

Abstract

Adaptive networks are well-suited to perform decentralized information processing and optimization tasks and to model various types of self-organized and complex behavior encountered in nature. The agents are linked together and cooperate with each other through local interactions to solve distributed optimization, estimation, and inference problems in real-time. The continuous diffusion of information across the network enables agents to adapt their performance in relation to streaming data and network conditions. This talk will cover the stochastic learning algorithms over distributed networks. Specifically, the talk will focus on constrained adaptive filtering algorithms and diffusion adaptation over multitask networks. Applications to hyperspectral image processing and bioinformatics will also be discussed.

Speaker Biography:

Jie Chen is currently a Professor at the Northwestern Polytechnical University (NPU) under the Thousand Talent Plan (Youth Program) of People’s Republic of China. Concurrently, he is the Vice Director of the Center of Intelligent Acoustics and Immersive Communications in NPU. He also serves as a Distinguished Lecturer of Asia-Pacific Signal and Information Processing Association. He received the B.S. and M.S. degrees from Xi’an Jiaotong University, the Dipl.-Ing. and Ph. D. degrees from Troyes University of Technology, France. He was with Lagrange Laboratory, University of Nice Sophia Antipolis, France, and Department of Electrical Engineering and Computer Science at the University of Michigan, Ann Arbor, USA. His research interests include adaptive signal processing and distributed optimization with applications to hyperspectral image analysis, acoustic signal processing, and bioinformatics.