Li Da Xu, Academician at the European Academy of Sciences, Russian Academy of Engineering (formerly, USSR Academy of Engineering), and Armenian Academy of Engineering, Dr. Sci. (Systems Science), Professor and Eminent Scholar in Department of Information Technology and Decision Sciences, Old Dominion University, Norfolk, VA, the United States of America (2076 CONSTANT HALL, Norfolk, VA 23529, Old Dominion University, Norfolk, VA, USA).
Hirsch-Index 72 (Scopus, December 2022)
Scopus Author ID 13408889400
https://orcid.org/0000-0002-5954-5115
E-mail: lxu@odu.edu
Phone: 757-683-6138
Academic Career
Li Da Xu (Fellow, IEEE) received the B.S. and M.S. degrees in information science and engineering from the University of Science and Technology of China, Hefei, China, in 1978 and 1981, respectively.
He received the PhD degree in systems science and engineering (with support area Design of Information Systems) from Portland State University, Portland, OR, USA, in 1986.
2009 Eminent Scholar
2015 IEEE Fellow, IEEE (The Institute of Electrical and Electronics Engineers).
He is an Academician of the European Academy of Sciences, Russian Academy of Engineering (formerly, USSR Academy of Engineering), and Armenian Academy of Engineering.
Research Interests
- Information theory,
- scientific foundations of information and computing systems and networks,
- system analysis,
- global and integrated information and telecommunication systems and automation systems 4J5J,
- Internet of Things,
- data privacy,
- resource allocation,
- Web services,
- blockchains,
- computer network security,
- cooperative systems,
- cryptography,
- decision making,
- distributed databases,
- divide and conquer methods,
- enterprise resource planning,
- human computer interaction,
- invasive software,
- open systems,
- storage management,
- transaction processing,
- cloud computing,
- business data processing.
Publications
He produced over 300 scientific papers with most of them being published in international scientific journals. Dr. Xu was a Highly Cited Researcher in the field of engineering named by Clarivate Analytics (formerly Thomson Reuters Intellectual Property and Science) from 2016 to 2020.
