Bio-Inspired Network Science

RESEARCH PROJECTS:

• Bullo - Opinion Dynamics in Social Networks: Peer-to-Peer Interactions, Information Assimilation, and Strategic Manipulation
• Byl - Biologically Inspired Robot Locomotion for Stochastic Environments
• Doyle, F., Petzold & Wang - Systems Approaches to Reverse Engineering Stochastic Biological Oscillators
• Doyle, J - Universal Laws and Architectures for Complex Networks
• Elowitz - Synthetic Development - Engineering of Self-Patterning
• Hespanha & Madhow - Bio-inspired Communication and Control in Uncertain Environments
• Lauffenburger & Fraenkel - Cell Information-processing Logic Governing Human Tissue Responses to Inflammatory Stress
• Manjunath & Grafton - The Role of Knowledge and Context in Detection and Tracking in Dynamic Scenes
• Moehlis & Singh - Synthesizing and Analyzing the Twitter Genome
• Murray - Modeling and Analysis of Biomolecular Feedback Systems
• Murray & Mayo - Biomolecular Feedback Circuits for Modular, Robust and Rapid Response
• Petzold, Yan & Singh - Metrics and Models of Persuasion over Networks

OBJECTIVES:
The ICB investigates the principles and mechanisms of high-performance biological networks and uses the insights gained to design technological networks that are scalable, robust, and energy-efficient.

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