NEW YORK, December 23, 2010 /PRNewswire-FirstCall/ --
- Professor DeLiang Wang Assumes Leadership of Unique Journal on Neural Networks and Related Approaches to Computational Intelligence
Elsevier, a world-leading publisher of scientific, technical and medical information products and solutions, is pleased to announce that Professor DeLiang Wang of The Ohio State University has accepted the position of Co-Editor-in-Chief of Neural Networks (http://www.elsevier.com/locate/neunet ). He succeeds the journal's founding editor Professor Stephen Grossberg of Boston University on January 1, 2011.
DeLiang Wang, who holds a Ph.D. from the University of Southern California, is a professor in the department of computer science and engineering at The Ohio State University. His research interests include machine perception and neurodynamics. He has published numerous papers in leading journals and conferences of the field. His paper: "The time dimension for scene analysis" received the 2005 Outstanding Paper Award of IEEE Transactions on Neural Networks. He received the U.S. National Science Foundation Research Initiation Award in 1992 and the U.S. Office of Naval Research Young Investigator Award in 1996. In 2008, he received the Helmholtz Award from the International Neural Network Society (INNS). He also served as INNS President in 2006. He is an IEEE Fellow, and an IEEE Distinguished Lecturer.
Neural Networks is unique in its range and provides a forum for developing and nurturing an international community of scholars and practitioners who are interested in all aspects of neural networks and related approaches to computational intelligence. Neural Networks welcomes high quality articles that contribute to the full range of neural networks research, ranging from behavioral and brain modeling, through mathematical and computational analyses, to engineering and technological applications of systems that significantly use neural network concepts and algorithms.
Professor Wang expects to maintain and enhance Neural Networks position as a premier journal of the field. He is committed to expediting the review process and prompting communication with authors, and will work to elevate journal visibility through electronic and other means.
"I am truly honored to be appointed to succeed Prof. Stephen Grossberg, who in 1987 founded Neural Networks, the first journal of its kind, and has since served as Co-Editor-in-Chief," Professor Wang commented. "Steve has done more than anybody in building up the infrastructure of neural networks, an enabling interdisciplinary field that has changed and is still shaping many related disciplines and technologies."
About Neural Networks
Neural Networks (http://www.elsevier.com/locate/neunet) is the archival journal of the world's three oldest neural modeling societies: the International Neural Network Society (INNS), the European Neural Network Society (ENNS), and the Japanese Neural Network Society (JNNS).
Elsevier is a world-leading publisher of scientific, technical and medical information products and services. The company works in partnership with the global science and health communities to publish more than 2,000 journals, including The Lancet (http://www.thelancet.com/) and Cell ( http://www.cell.com/), and close to 20,000 book titles, including major reference works from Mosby and Saunders. Elsevier's online solutions include SciVerse ScienceDirect (http://www.cell.com/), SciVerse Scopus (http://www.scopus.com/home.url), Reaxys (https://www.reaxys.com/info/), MD Consult (http://www.mdconsult.com/php/230496801-13/homepage) and Nursing Consult (http://www.nursingconsult.com/php/230498500-2/home.html), which enhance the productivity of science and health professionals, and the SciVal suite (http://www.nursingconsult.com/php/230498500-2/home.html) and MEDai's Pinpoint Review (http://www.medai.com/), which help research and health care institutions deliver better outcomes more cost-effectively.
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