Lidong Wang

Work place: The Institute for Systems Engineering Research, Mississippi State University, USA.



Research Interests: Data Mining, Computer Networks, Computer systems and computational processes, Advanced Manufacturing, Big data and learning analytics


Dr. Lidong Wang is currently an Associate Research Professor at Mississippi State University. He was a tenured Associate Professor and the Director of the Automated Identification Technology Program at Mississippi Valley State University. He also did research projects at Ohio State University, the University of South Carolina, and Tennessee Technological University. These projects were supported by the Department of Defense (DoD), the National Aeronautics and Space Administration (NASA), National Science Foundation (NSF), etc. He has published more than 100 peer-reviewed journal articles covering topics such as Big Data analytics, cybersecurity, deep learning, radio frequency identification, biometrics, additive manufacturing, etc. He was the President of the Electricity, Electronics & Computer Technology (EECT) Division of the Association of Technology, Management, and Applied Engineering (ATMAE) in the United States. He was the Editor-in-Chief of the International Journal of Automated Identification Technology for eight years. He has served as a Program Committee Member for six IEEE conferences. He is an IEEE Senior Member.

Author Articles
Big Data in Cyber-Physical Systems, Digital Manufacturing and Industry 4.0

By Lidong Wang Guanghui Wang

DOI:, Pub. Date: 8 Jul. 2016

A cyber physical system (CPS) is a complex system that integrates computation, communication, and physical processes. Digital manufacturing is a method of using computers and related technologies to control an entire production process. Industry 4.0 can make manufacturing more efficient, flexible, and sustainable through communication and intelligence; therefore, it can increase the competitiveness. Key technologies such as the Internet of Things, cloud computing, machine-to-machine (M2M) communications, 3D printing, and Big Data have great impacts on Industry 4.0. Big Data analytics is very important for cyber-physical systems (CPSs), digital manufacturing, and Industry 4.0. This paper introduces technology progresses in CPS, digital manufacturing, and Industry 4.0. Some challenges and future research topics in these areas are also presented.

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