Invited Speaker
Ping Zhu
Beijing Broad Network & Information Company Limited, China
Zhu Ping, 54 years old, PHD,
engineering professor. Has been engaged in
intelligent system R&D more than 26 years. His
main research interests include thinking
machine, semantic understanding, and complex
algorithm.
He has successively undertaken the application,
R&D, and management of China 863 plan smart city
(phase II project)’s task: “city multi-level
intelligent analysis, decision support
middleware and system construction”; China the
12th Five Year Plan Xinjiang manufacturing
informatization technology demonstration
project: “application, R&D and management of key
technology research and demonstration system of
smart oilfield”; And made a successful
application as the main writer report to Karamay
science and Technology Bureau project: “data
intelligent service platform”, and presided over
the R&D work as the project leader.
He had participated in the preparation of 2015
smart city white paper by the China Inter
ministerial coordination group for promoting the
development of smart city; had successfully
applied for the 2016 science and technology plan
project of China ministry of housing and urban
rural development: “The whole life cycle cloud
management platform for building mechanical and
electrical equipment based on the IoT”, and
completed the platform development; assisted the
Beijing municipal commission of economy and
information technology in the preparation of
smart city planning of Beijing sub center and
obtained the Commendation as the Deputy group
leader; Presided over the research on “big data
ecological construction of government affairs”
of Beijing science and technology commission in
2017; Participated in the construction of
Beijing big data platform; Participated in the
application and R&D of the national key R&D
Program project "Research on key technologies of
IoT and smart city security guarantee" as the
main member. More than 40 scientific and
technological papers have been published by the
first author at home and abroad, and 8 national
invention patents have been obtained as the main
author.
As the session chair, he participated in the
CCEAI 2021 and CAIT 2020 international academic
conferences, served as the technical committee
member of international academic conferences for
many times, and served as a special issue guest
editor of the international academic journal
"Contemporary Mathematics". He is member of Hong
Kong society of Robotics and Automation (HKSRA),
Asia-Pacific Institute of Science and
Engineering (APISE) and International
Association of Science and Engineering
Development (IASED).
Tony Lindgren
Stockholm University, Sweden
Tony Lindgren is an associate professor at the Department of Computer and Systems Sciences (DSV), Stockholm University. In 2006 he received his Ph.D. degree in computer and system sciences. He has worked both in academia and industry since 2008, he is the inventor of numerous patents and the author of numerous scientific articles. His research is aimed at exploring machine learning in general but has a special interest in using data-driven methods for predictive maintenance problems. During his time at Scania, Dr. Lindgren worked on applying his research to solve practical problems such as the maintenance optimization of Scania heavy trucks. Since 2019, Tony Lindgren has been the head of the Systems Analysis and Security Unit at DSV.