Keynote

Quality Big Data Analytics and AI Modeling for Smart Cities


Professor Jerry Gao
Department of Computer Engineering
San Jose State University
Director, SJSU Silicon Valley Excellence Research Center
on Smart Technology, Computing, and Complex Systems

Abstract:

In this talk, Dr. Gao will share their different smart city research projects for the city of San Jose to address the top challenges in the city of San Jose, including illegal dumping, city street cleanliness, and graffiti. Dr. Gao will address the related big data analytics, and AI modeling for these projects, share their experience, challenges, and needs. In addition, Dr. Gao will review big data analytics and modeling for smart cities in terms of modeling, methods, and processes. He also shares his vision and discusses the current research issues and directions in big data quality collection, quality deep learning, and AI modeling for smart cities. Moreover, he will cover the research problems, solutions, and tools for quality training and validation for both IOT and unstructured big data. Furthermore, he will explore new challenges and issues in quality assurance for future AI systems in smart cities.

About the Speaker:

Jerry Zeyu Gao is a full professor at the Department of Computer Engineering at San Jose State University. Now, he is the director of SJSU Silicon Valley Excellence Research Center on Smart Technology, Computing, and Complex Systems. He had over 20 years of academic research and teaching experience and over 10 years of industry working and management experience on software engineering and IT development applications. He has published three technical books and over hundreds (200) publications in IEEE/ACM journals, magazines, International conferences and workshops. His current research areas include smart cities, cloud computing, TaaS, software engineering, test automation, and mobile cloud services. Since 2016, Dr. Gao and his team have worked closely with the city of San Jose on different smart city projects to address complex challenges in building future smart cities using different grants from NSF, CEC, and Cities, as well as collaborated local companies.