Complex Networks & Their Applications XII
Springer International Publishing (Verlag)
978-3-031-53498-0 (ISBN)
Hocine Cherifi is a professor of Computer Science at the University of Burgundy, Dijon, France, since 1999. He completed his Ph.D. degree at the National Polytechnic Institute, Grenoble, in 1984. Before moving to Dijon, he held faculty positions at Rouen University and Jean Monnet University, in France. He has held visiting positions at Yonsei, Korea, University of Western Australia, Australia, National Pingtung University, Taiwan; and Galatasaray University, Turkey. His recent research interests are in computer vision and complex networks. He has published more than 200 scientific papers in international refereed journals and conference proceedings. He held leading positions in more than 15 international conference organizations (General chair, Program chair), and he served on more than 100 program committees. He is the founder of the International Conference on Complex Networks /& their Applications. Currently, he is also a member of the Editorial Board of Computational Social Networks, PLOS One, IEEE Access, Journal of Imaging, Complex Systems, Quality and Quantity, and Scientific Reports. He is the Founding Editor-in-Chief of the Applied Network Science journal.
Luis M. Rocha is the George J. Klir Professor of Systems Science at the Thomas J. Watson College of Engineering and Applied Science, Binghamton University, where he leads the Complex Adaptive Systems and Computational Intelligence (CASCI) lab. He is also Senior Fellow at the Instituto Gulbenkian da Ciencia, co-director of the Consortium for Social and Biomedical Complexity between Binghamton University and Indiana University, and a founding partner of the International Center for Excellence in Mental Health Sciences. He has been the director of the NSF-NRT Interdisciplinary Training Program in Complex Networks and Systems, and Professor of Informatics at the Luddy School of Informatics, Computing, and Engineering at Indiana University. His research is on complex networks and systems, computational and systems biology, and computational intelligence. He received his PhD in Systems Science in 1997 from the State University of New York at Binghamton. From 1998 to 2004 he was a permanent staff scientist at the Los Alamos National Laboratory, where he founded and led a Complex Systems Modeling Team during 1998-2002, and was part of the Santa Fe Institute research community. He has organized major conferences in the field such as Alife X, ECAL 2007, and Complex Networks 2019-2023. He has published many articles in scientific and technology journals and has been the recipient of several scholarships and awards.
Chantal Cherifi received her PhD in Computer science from Corsica University, France, in 2011. Since 2014, she is working as an Associate Professor at the DISP laboratory, at the University of Lyon 2, France. Her main research interests are focused on information systems agility and big data management with applications on enterprise information systems and smart cities, using complex networks, ontologies, and Product Lifecycle Management (PLM) systems tools. She is involved in several international conference organizations such as Complex Networks, CompleNet, PLM, and DICTAP. She serves as a member of international conferences program committees of Complex Networks, CompletNet, Complexis, ISCRAM-med, CSCESM, SITIS, and ICIEIS; and journal referee for IJCIM, EPL, Scientific Reports, and Nature. She is a member of EU Erasmus-Mundus programs (SmartLink and cLink program). Her local responsibilities include Committee Lab member, since 2016, and Lab seminar co-organizer, since 2014.
Murat Donduran is a Professor of Economics at the Department of Economics, YILDIZ Technical University Istanbul Türkiye, where he is the Director of the Graduate School of Social Sciences. He is also the Board member of in Turkish Economic Foundation. His research is on microeconomics, computational economics, firm dynami
Erscheinungsdatum | 02.03.2024 |
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Reihe/Serie | Studies in Computational Intelligence |
Zusatzinfo | XXII, 504 p. 152 illus., 126 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
Mathematik / Informatik ► Mathematik ► Angewandte Mathematik | |
Technik | |
Schlagworte | complex networks • Complex Networks 2023 • network analysis • network dynamics • Network Models |
ISBN-10 | 3-031-53498-0 / 3031534980 |
ISBN-13 | 978-3-031-53498-0 / 9783031534980 |
Zustand | Neuware |
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