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Qilian (Hrsg.) Liang

Artificial Intelligence in China

Proceedings of the 2nd International Conference on Artificial Intelligence in China

Buch

This book brings together papers presented at The 2nd International Conference on Artificial Intelligence in China (ChinaAI) 2020, which provides a venue to disseminate the latest developments and to discuss the interactions and links between these multidisciplinary fields. Spanning topics covering all topics in artificial intelligence with new development in China, this book is aimed at undergraduate and graduate students in Electrical Engineering, Computer Science and Mathematics, researchers and engineers from academia and industry as well as government employees (such as NSF, DOD and DOE).

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Produktdetails


Weitere Autoren: Wang, Wei (Hrsg.) / Cai, Xiantao (Hrsg.) / Liu, Xin (Hrsg.) / Na, Zhenyu (Hrsg.) / Mu, Jiasong (Hrsg.)
  • ISBN: 978-981-1586-01-9
  • EAN: 9789811586019
  • Produktnummer: 38411525
  • Verlag: Springer Nature Singapore
  • Sprache: Englisch
  • Erscheinungsjahr: 2022
  • Seitenangabe: 620 S.
  • Masse: H23.5 cm x B15.5 cm x D3.3 cm 925 g
  • Auflage: 1st ed. 2021
  • Abbildungen: Paperback
  • Reihenbandnummer: 653
  • Gewicht: 925

Über den Autor


Dr. Qilian Liang is a Distinguished University Professor in the Department of Electrical Engineering, University of Texas, at Arlington (UTA), USA, where he has been working since August 2002. Prior to this, he was a member of the technical staff at Hughes Network Systems Inc. in San Diego, California. Dr. Liang received his B.S. degree from Wuhan University, China, in 1993; his M.S. degree from Beijing University of Posts and Telecommunications, China, in 1996; and a Ph.D. degree from the University of Southern California (USC), Los Angeles, USA, in May 2000, all in Electrical Engineering. His research interests include communications, signal processing and fuzzy logic systems. Dr. Liang has published more than 330 journal and conference papers and 9 book chapters and has 6 US patents pending. He received 2002 IEEE Transactions on Fuzzy Systems Outstanding Paper Award; 2003 U.S. Office of Naval Research (ONR) Young Investigator Award; 2005 UTA College of Engineering Outstanding Young Faculty Award; 2007, 2009, 2010 U.S. Air Force Summer Faculty Fellowship Program Award; 2012 UTA College of Engineering Excellence in Research Award; 2013 UTA Outstanding Research Achievement or Creative Activity Award and was inducted into UTA Academy of Distinguished Scholars in 2015. He is an IEEE Fellow.

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