Bio-Engineering and Bio-Inspired Systems (ISSN: 2032-9210)
PublisherICST
ISSN-L2032-9210
ISSN2032-9210
IF(Impact Factor)2026 Evaluation Pending
Websitehttp://icst.org
Description
The turn to nature for solutions to technological questions has brought us many unforeseen great concepts. This encouraging course seems to hold on for many aspects in technology. New achievements in electronics and nanotechnology are taking us to a world where myriads of heavily networked devices interact with the physical world in multiple ways, and at multiple scales, from the global Internet scale down to micro- and nano-devices. Many of these devices are highly mobile and autonomous, and must adapt to the surrounding environment in a totally unsupervised way. A fundamental research challenge is the design of robust decentralized computing systems capable of operating under changing environments and noisy input, and yet exhibit the desired behaviour and response time, under constraints such as energy consumption, size, and processing power. These systems should be able to adapt and learn how to react to unforeseen scenarios as well as to display properties comparable to social entities. Biological systems are able to handle many of these challenges with an elegance and efficiency still far beyond current human artefacts. Based on this observation, bio-inspired approaches have been proposed in the past years as a strategy to handle the complexity of such systems. The goal is to obtain methods on how to engineer technical solutions which have similar high stability and efficiency as biological entities often have. Transactions on Bio-Engineering and Bio-Inspired Systems aims to providing a global forum for archival value contributions documenting these fast growing areas of interest.We are considering original, high quality and unpublished contributions addressing all aspects of bio-engineering and bio-inspired systems.
Specific areas of interest include, but are not limited to:
Nano-networks and molecular communication
Bio-inspired system technical systems
Bio-inspired mathematical models, methods and tools
Bio-inspired information and communication systems (ICT)
Biological networks, e.g. signalling networks
Keywords
Bio-engineering, bio-inspired networking, nano-networks, molecular communication, signaling networks, bio-inspired systems, biological networks, bio-inspired models
Editor-in-Chief
Dr. Falko Dressler is an assistant professor leading the Autonomic Networking Group at the Department of Computer Sciences, University of Erlangen. He teaches on self-organizing sensor and actor networks, network security, and communication systems. Dr. Dressler received his M.Sc. and Ph.D. degree from the Dept. of Computer Sciences, University of Erlangen in 1998 and 2003, respectively. Dr. Dressler is an Editor for the Elsevier Ad Hoc Networks journal, the ACM/Springer Wireless Networks (WINET) journal, and the Journal of Autonomic and Trusted Computing (JoATC). He was guest editor of special issues on self-organization, autonomic networking and bio-inspired computing and communication for IEEE Journal on Selected Areas in Communications (JSAC), Elsevier Ad Hoc Networks, and Springer Transactions on Computational Systems Biology (TCSB). Dr. Dressler was general chair of the 2nd IEEE/ACM International Conference on Bio-Inspired Models of Network, Information, and Computing Systems (BIONETICS 2007). He published two books including Self-Organization in Sensor and Actor Networks, published by Wiley in 2007. Dr. Dressler is Senior Member of the IEEE and member of the ACM. His research activities are focused on (but not limited to) Autonomic Networking addressing issues in Wireless Ad Hoc and Sensor Networks, Vehicular Communication, Self-Organization, Bio-inspired Mechanisms, and Adaptive Network Monitoring and Security Techniques.
Editorial Board
Nano Communication
Ozgur B. Akan
Middle East University, Turkey
Tadashi Nakano
UC Irvine, United States
Bio-Inspired Networking
Kenji Leibnitz
Osaka University, Japan
Christian Bettstetter
University of Klagenfurth, Austria
Stephan Steglich
Franhofer FOKUS, Germany
Jun Suzuki
UMass Boston, USA
Gianni di Caro
IDSIA, Switzerland
Iacopo Carreras
Create-Net, Italy
Models, Systems
Jian-Qin Liu
NICT, Japan
Emma Hart
Napier University, United Kingdom
Bioinformatics
Alioune Ngom
University of Windsor, Canada
Last modified: 2011-08-16 07:56:01
Volumes
- No Archives
Share Your Research, Maximize Your Social Impacts

