SIG on AI Embedded Cognitive Networks

Scope and Objectives

With advances in machine learning, including deep neural networks and probabilistic graph models, a new wave of Artificial Intelligence (AI) breakthroughs is making it possible for computing technology to do many tasks thought to be futuristic. AI has recently attracted significant attentions in the Telecom domain, both from the carrier side and the equipment vendor side. This is due to the fact that operators are sitting on gold mines of networked data and there are strong demands for methods, algorithms, and tools that are developed to detect network anomalies, optimize the network RF coverage, improve the customer experience, and gain other actionable insights from the massive amount of data set. The ultimate goal is to make the communication network self-adaptive, self-managed, and truly cognitive. Toward this end, we have formed the AICN SIG group to provide a platform for researchers, data scientists, computer scientists to share their ideas, key technologies, and latest results in the area of AI embedded cognitive networks.

Chair

Dr. Kai Yang, Tongji University, China

Vice-chairs

Dr. Sijia Liu, University of Michigan, USA
Dr. Yanjia Sun, Huawei Research, USA
Dr. Yasin Yılmaz, University of South Florida, USA
Dr. Weiqiang Xu, Zhejiang University of Science and Technology, China

Founding Members

Dr. Kai Yang, Tongji University, China
Dr. Sijia Liu, University of Michigan, USA
Dr. Alfred Hero, University of Michigan, USA
Dr. Yanjia Sun, Huawei Research, USA
Prof. Weiqiang Xu, Zhejiang University of Science and Technology, China
Dr. Yingchang Liang, University of Sydney, Australia
Dr. Richard Gitlin, University of South Florida, USA
Dr. Kwang-Cheng Chen, University of South Florida, USA
Dr. Huseyin Arslan, University of South Florida, USA
Dr. Ismail Guvenc, North Carolina State University, USA
Dr. Biao Chen, Professor, Syracuse University, USA
Dr. Engin Masazade, Yeditepe University, Turkey
Dr. Hao Chen, Boise State University, USA
Dr. Pin-Yu Chen, IBM Thomas J. Watson Research Center, USA

Full Proposal

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