| Biography | |
|---|---|
 Prof. Jerry Gao San Jose State University, USA |
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| Title: Green Energy Cloud and Artificial Intelligence Services | |
| Abstract:
Today, green energy is a very hot topic in building renewable and sustainable smart cities. As the fast advance of green technologies and AI techniques, many green energy technologies and systems are developed and deployed. To provide a new cost-effective green energy cyber system infrastructure with intelligent services, Dr. Gao first introduces the basic concept of green energy clouds, discusses its infrastructure, service and deployment models, and computing features, as well ascloud services and benefits. In addition, its current issues, challenges, and needs are presented. In the second part of this talk, Dr. Gao provides an overview and taxonomy of green energy AI services, and the state-of-the-art machine learning models for green energy applications. Dr. Gao reviews diverse machine learning models used for green energy power generation & prediction, load forecasting, energy storage life assessment, energy usage prediction, and electricity trading and price prediction. Later, Dr. Gao presents new intelligent green energy supply demand models based on machine learning. Finally, the future demand and research directions are discussed.
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| Biography:
Jerry Gao, Professor, Computer Engineering Department and Applied Data Science Department, Research Center Director, San Jose State University.
Dr. Jerry Gao is a professor at San Jose State University for Computer Engineering Department and Applied Data Science Department. Now, he is the director of SJSU research center on Smart Technology, Computing, and Complex Systems. His research interest includes Smart Machine Cloud Computing and AI, Smart Cities, Green Energy Cloud and AI Services, AI Test Automation, Big Data Cyber Systems and Intelligence. Since 2020, Dr. Gao has served as the steering committee board chair for IEEE International Congress on Intelligent Service-Oriented Systems Engineering (IEEECISOSE), and Steering Committee Board Members for IEEE Smart World Congress. He had over 25 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 (330) publications in IEEE/ACM journals, magazines, international conferences, and workshops. His publications received more than 8.4K+ citations in Google Scholar and more 310K readings in ResearchGate. In last 10 years, Dr. Gao has played as one key organizer for several IEEE international conferences and workshops, including IEEEAITest2021, IEEE BigDataService2020, IEEE Smart World Congress 2017, IEEE Smart City Innovation 2017, SEKE2010-2011, IEEE MobileCloud2013, and IEEE SOSE2010-2011. His current research areas include cyber-physical systems and intelligence, green and sustainable smart cities, smart agriculture, AI test automation, smart machine Cloud AI. In 2010, Jerry Gao has been recognized by University of Texas at Arlington as a distinguished Alumna for College of Engineering at its 50th anniversary. In 2011, he was award as a KSI Fellow in SEKE2011. In 2013, Dr. Gao has received the College of Engineering Faculty Award for Excellence in scholarship. Recently, Dr. Gao has been recommended and listed as Marquis’s American Who's Who 2020-2021, and Marquis’s Industry Leaders in 2021.
Jerry Gao’s Google Scholar: https://scholar.google.com/citations?user=vMi9grgAAAAJ&hl=en
Jerry Gao’s ResearchGate: https://www.researchgate.net/profile/Jerry-Gao
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