Learn about the state of the art in building artificial membranes and synthetic biological devices, and in constructing mathematical models for their dynamics at multiple time and spatial scales with this comprehensive book. Drawing on recent advances in bioengineering and biochemistry, it describes how to engineer tethered bilayer lipid membranes, bioelectronic interfaces, high-resolution biosensors, and diagnostic devices for non-invasive cellular measurements and electroporation. Multi-physics models combining atomistic (molecular dynamics and coarse-grained molecular dynamics), mesoscopic (Poisson-Nernst-Planck), and macroscopic (reaction-rate theory) dynamics provide a complete structure-to-function description of these devices. Experiments and dynamic models explain how anti-microbial peptides penetrate membranes, how molecular machine biosensors built out of artificial membranes can detect femtomolar concentrations, and how electroporation can be controlled. Supported by atomistic simulation code online, this is essential reading for researchers, students and professionals in bioengineering, chemical engineering, biophysics, applied mathematics, and electrical engineering.

This book constitutes the thoroughly refereed post-conference proceedings of the Third International Conference on Game Theory for Networks (GameNets 2012) held in Vancouver, Canada, May 24-26, 2012. The 13 revised full papers were carefully selected from 24 submissions and are presented together with 7 invited papers. The papers focus on topics such as mechanism design, physical layer games, network mechanisms, stochastic and dynamic games, game-theoretic network models, cooperative games in networks, security games, spectrum sharing games, P2P and social networks and economics of network QoS.

The proliferation of social media such as real time microblogging and online reputation systems facilitate real time sensing of social patterns and behavior. In the last decade, sensing and decision making in social networks have witnessed significant progress in the electrical engineering, computer science, economics, finance, and sociology research communities. Research in this area involves the interaction of dynamic random graphs, socio-economic analysis, and statistical inference algorithms. Interactive Sensing and Decision Making in Social Networks provides a survey, tutorial development, and discussion of four highly stylized examples of sensing and decision making in social networks: social learning for interactive sensing; tracking the degree distribution of social networks; sensing and information diffusion; and coordination of decision making via game-theoretic learning. Each of the four examples is motivated by practical examples, and comprises of a literature survey together with careful problem formulation and mathematical analysis. Despite being highly stylized, these examples provide a rich variety of models, algorithms and analysis tools that are readily accessible to a signal processing, control/systems theory, and applied mathematics audience.