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Hiroki Sayama

Hiroki Sayama, D.Sc.

Director, Collective Dynamics of Complex Systems (CoCo) Research Group
Assistant Professor, Department of Bioengineering
Binghamton University, State University of New York
P.O. Box 6000, Binghamton, NY 13902-6000, USA
Affiliate, New England Complex Systems Institute
Tel: +1-607-777-4439
Fax: +1-607-777-5780
Email: sayama AT binghamton DOT edu, sayama AT necsi DOT edu

B.Sc., M.Sc., and D.Sc. in Information Science, University of Tokyo, Japan (1994, 1996, and 1999, resp.); Postdoctoral fellow, New England Complex Systems Institute, USA (1999-2002); Assistant Professor, UEC, Japan (2002-2004); Affiliate, New England Complex Systems Institute, USA (2002-); Associate Professor, UEC, Japan (2004-2005); Assistant Professor, Binghamton University, SUNY, USA (2006-).

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> Full CV (PDF)

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> List of Publications


Research Interests

  • Complex systems: Complex dynamical networks, collective behaviors, nonlinear dynamics, pattern formation, self-organization, multiscale phenomena, social systems, modeling, simulation and visualization of complex systems, complex systems education
  • Artificial life: Self-replication, self-repair, cellular automata, artificial chemistry, swarm behaviors, artificial evolutionary systems, robustness and evolvability of artifacts, application of artificial life to media art
  • Mathematical biology: Theoretical population/evolutionary biology, spatially distributed ecological or evolutionary models, multilevel selection, speciation
  • Computer & information sciences: Automaton and formal languages, computation theory, information theory, parallel computation, nature-inspired computing

Research Projects

  • Pattern formation in self-propelled particle swarms and its application to engineering design
  • Evolutionary perspective on collective decision making, creativity, and innovation
  • Generative network automata and their applications to the modeling and analysis of:
    • Morphogenetic processes of biological/biomimetic networks (Wriggraph)
    • Social networks
    • Network reliability and security
  • Complex systems education with interactive teaching tools
  • Linking youth and community using Information Technology
  • Artificial evolutionary systems built on deterministic cellular automata (evoloop / worms)

Our research is supported by:

  • National Science Foundation  NSF
  • Division of Research, Binghamton University  BU
  • Conrad and Virginia Klee Foundation Klee

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