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Engineering - Computational Intelligence and Complexity | Complex & Intelligent Systems - a SpringerOpen journal (Societies)

Complex & Intelligent Systems

Complex & Intelligent Systems

Editor-in-Chief: Y. Jin; A. Alfaris

ISSN: 2198-6053 (electronic version)

Journal no. 40747


Prof. Dr. Dr.-Ing. Yaochu Jin

Dr Jin received the B.Sc. (1988), M.Sc. (1991), and Ph.D. (1996) degrees from Zhejiang University, Hangzhou (China), and the Dr.-Ing. (2001) degree from Ruhr-University Bochum, Bochum (Germany). He is currently a full Professor in Computational Intelligence with the Department of Computer Science at University of Surrey, Guildford (UK), where he is Head of the Nature Inspired Computing and Engineering Group. He is also a Finland Distinguished Professor awarded by Finnish Funding Agency for Innovation and Changjiang Distinguished (Visiting) Professor appointed by Ministry of Education in China. His science-driven research interests lie in interdisciplinary areas that bridge the gap between computational intelligence, computational neuroscience, and computational systems biology. Dr Jin has (co)edited five books and three conference proceedings, authored a monograph, and (co)authored nearly 200 peer-reviewed journal and conference papers. He has been granted eight US, EU and Japan patents. His current research is funded by EC FP7, UK EPSRC and industries, including Airbus, Bosch UK, HR Wallingford and Honda. He has delivered 20 invited keynote speeches at international conferences. He is the Editor-in-Chief of the IEEE Transactions on Cognitive and Developmental Systems. He is also an Associate Editor or Editorial Board Member of IEEE Transactions on Evolutionary Computation, IEEE Transactions on Cybernetics, IEEE Transactions on Nanobioscience, Evolutionary Computation (MIT), BioSystems (Elsevier), Natural Computing (Springer), and Soft Computing (Springer). Dr Jin was an IEEE Distinguished Lecturer and Vice President for Technical Activities of the IEEE Computational Intelligence Society. He is also a Fellow of IEEE. In 2015 Dr Jin has joined the Complex & Intelligent Systems journal as co-Editor-in-Chief.


Assoc. Prof. Dr. Anas Alfaris

Dr. Alfaris is currently an Associate Professor at the King Abdulaziz City for Science and Technology (KACST) in Riyadh (Saudi Arabia) and visiting Associate Professor at the Massachusetts Institute of Technology (MIT, USA). He is also the co-director of the Center for Complex Engineering Systems (CCES) at KACST and MIT as well as the Co-director of the Decision Support Center (DSC) of KACST and Boeing. Furthermore, he is the Director of the Joint Centers of Excellence Program (JCEP) at KACST. Prior to that he worked for several years as a Research Scientist in the Engineering Systems Division (ESD) at MIT where he led several research projects and initiatives. At MIT, Dr. Alfaris taught several courses focusing on Multidisciplinary System Design Optimization (MSDO) as well as Computer Aided Design (CAD). Furthermore, he has been part of several multidisciplinary research teams including the Design Lab and the Smart Cities Group at the Media Lab, and the Strategic Engineering Group at the ESD. Dr. Alfaris received his training in several disciplines including civil architecture, engineering and computer science. He started his academic career by earning a bachelor degree in Architecture and Building Engineering from King Saud University, Riyadh (Saudi Arabia). He then received a Master of Building Technology followed by a Master of Science in design studies with a focus on computational design systems, both from the University of Pennsylvania (USA). He subsequently received from MIT a Master of Science in Computation for Design and Optimization from the Center of Computational Engineering at the School of Engineering while completing his Ph.D. in Design Computation. Since 2014 Dr. Alfaris is the co-Editor-in-Chief of Complex & Intelligent Systems.

About KACST and its Award 

King Abdulaziz City for Science and Technology (KACST) is an independent scientific organization administratively reporting to the Prime Minister. KACST is both the Saudi Arabian national science agency and its national laboratories. The science agency function involves science and technology policy making, data collection, funding of external research, and services such as the patent office.
KACST partnered with Springer to publish a suite of international journals to foster the development of key applied technologies, providing a forum for the dissemination of research advances and successes from the Kingdom of Saudi Arabia and the world. KACST provide funds to cover all publication costs of these journals, including the Article Processing Charges (APC’s) for all authors.
KACST has provided awards for the best paper from five journals it publishes in collaboration with Springer. The articles chosen reflect not only excellent science, but also the potential impact of the discoveries. The winning authors receive the KACST Medal and $5,000 each.

For authors and editors

  • Aims and Scope

    Aims and Scope


    Complex & Intelligent Systems aims to provide a forum for presenting and discussing novel approaches, tools and techniques meant for attaining a cross-fertilization between the broad fields of complex systems, computational simulation, and intelligent analytics and visualization. The transdisciplinary research that the journal focuses on will expand the boundaries of our understanding by investigating the principles and processes that underlie many of the most profound problems facing society today.   

    Key topics of focus include:  

    • Complexity
          - Complex evolutionary and adaptive Systems
          - Emergent properties and behavior in complex Systems
          - Self-organizing collective systems
          - Biological and social inspirations in problem solving
          - Systems Science and Engineering  
    • Intelligent Data Analytics
          - Data mining and knowledge discovery
          - Machine learning
          - Pattern recognition
          - Big Data Analytics and data science
          - Data-driven problem solving
    • Computational Simulation
          - Knowledge-based Systems
          - Agent based Systems
          - Uncertainty modeling
          - Decision support Systems
          - Brain-like computing
          - Ubiquitous computing
          - Computational visualization and interaction
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