ICST Transactions on Bio-Engineering and Bio-inspired Systems
Aims and Scope:
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 behavior 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 artifacts. 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 We are considering original, high quality and unpublished contributions addressing all aspects of bio-engineering and bio-inspired systems.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. signaling networks
EIC’s keywords:
Bio-engineering, bio-inspired networking, nano-networks, molecular communication, signaling networks, bio-inspired systems, biological networks, bio-inspired models