René Doursat  Ph.D. Habil.

Research Associate Professor, School of    Biomedical Engineering, Drexel University Affiliate Research Fellow, Krasnow    Institute, George Mason University Research Scientist & Fmr. Director,    Complex Systems Institute, Paris    Ile-de-France (ISC-PIF), CNRS Co-Founder & Adjunct Lecturer, Erasmus    Mundus Master's in Complex Systems    Science, Ecole Polytechnique, Paris email: rene.doursatdrexel.edu

Book Publications Morphogenetic Engineering Springer, 2012 Cognitive Morphodynamics Peter Lang, 2011 Advances in Artificial Life, ECAL 2011 MIT Press, 2011 Swarm Intelligence, ANTS 2010 Springer, 2010 IT Revolutions, ICST 2008 Springer, 2009

Home Page Research    • Architectured      Complex Systems    • Biological & Artificial      Development    • Self-Constructing      Networks    • Emergent Neural      Dynamics    • Computational      Evolution & Ecology Teaching Publications Activities, Grants Industry Education, Career Full CV   (Apr 15, 2013)	Research The main theme of my research is the computational modeling and simulation of "morphogenetic engineering" systems, i.e. how complex architectures self-organize from a swarm of heterogeneous agents via dynamical, developmental, and evolutionary processes. For example, these emergent structures could be modular robots, synthetic organisms, or large autonomic networks of computing devices. They could also explain brain representations based on dynamic "neural shapes" formed by myriads of correlated spiking neurons in phase space. My work belongs to complex systems, artificial life (biologically inspired engineering), evolutionary modeling and computational neuroscience (dynamics of large-scale neural networks). Architectured Complex Systems Exploring the design and implementation of new autonomous systems capable of acquiring complex morphologies and functions without central planning or external lead •  EMBENG – Embryomorphic Engineering •  MORPHENG – Morphogenetic Engineering: Toward Programmable Complex Systems •  ECSO – Engineering and Control of Self-Organization Biological & Artificial Development Computational, spatially explicit models of (evolutionary) development with possible applications to hyperdistributed self-organized engineering systems •  MECAGEN – Mechano-Genetic Model of Biological Morphogenesis •  MAPDEVO – Modular Architecture by Programmable Development •  SYNBIOTIC – Synthetic Biological Systems: From Design to Compilation Self-Constructing Networks Applying the principles of morphogenetic engineering, in particular embrymorphic engineering, to network self-organization •  PROGNET – Network Growth by Programmable Attachment •  PROGLIM – Network Growth by Program-Limited Aggregation •  GROCYPHY – Growing and Gardening Cyber-Physical Systems Emergent Neural Dynamics Mesoscopic emergence, interaction and composition of spatiotemporal patterns of activity and connectivity in large-scale spiking neural networks •  SYNDEVO – Synfire Chain Development and Composition •  WAVEMAT – Wave-Based Shape Storage and Matching •  COGMORPH – Morphodynamical Models of Cognitive Linguistics Computational Evolution & Ecology Agent-based, grammar-based or genetic programming models of population dynamics combining the short and long time scales of individual interactions and evolution •  EVOSPACE – Evolutionary Dynamics and Speciation in Space •  DIVPLANT – Emergent Diversity in Communities of Virtual Plants •  BVGP – Bias-Variance Decomposition in Genetic Programming