We are a research group at Indiana University and the Instituto Gulbenkian de Ciencia working on complex networks & systems. We are particularly interested in the informational properties of natural and artificial systems which enable them to adapt and evolve. This means both understanding how information is fundamental for controlling the behavior and evolutionary capabilities of complex systems, as well as abstracting principles from natural systems to produce adaptive information technology. Our research projects are on complex networks & systems, computational and systems biology, and computational intelligence, and our publications are available online.
See our current roster and information on how to join our group. We are seriously interconnected with other research groups and networks: The Center for Complex Networks and Systems (CNets), the Indiana University Networks Institute, the Cognitive Science Program, the FLAD Computational Biology Collaboratorium, the Instituto Gulbenkian de Ciência, and the Champalimaud Neuroscience Program.
This spring we will be meeting every Friday @ 10am in Informatics East, room 130.
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PhD Dissertation in the Complex Systems track of Informatics: Measuring Scales: Integration and Modularity in Complex Systems. 2015, Indiana University.
PhD Dissertation in Cognitive Science: Stochastic Models And Transitivity In Complex Networks. 2012, Indiana University.
Dual degree, BS in cognitive science and BA in biophysics, through the Individualized Major Program at Indiana University. Undergraduate thesis: Inducing Apoptosis: The Study of a Random Boolean Network Modelling Survival Signalling in T-LGL Leukemia.
PhD Dissertation: An adaptive document classifier inspired by T-Cell cross-regulation in the immune system. 2011, Indiana University
PhD Dissertation: Reverse engineering the mechanisms and dynamical behavior of complex biochemical pathways. 2011, Indiana University. Currently: postdoctoral fellow at the University of Michigan.
Previous Postdoctoral fellow. Currently: Senior researcher at Scientific and Technical Research Council of Argentina
PhD Dissertation: Multivariate Analysis of Gene Expression Data and Functional Information: Automated Methods for Functional Genomics. 2005, Portland State University. Currently: Associate Scientist at UC Santa Cruz.
If you are interested in working in the area of Complex Adaptive Systems
and Computational Intelligence, there are several ways to study and collaborate with us. Professor Luis Rocha supervises students and works with postdoctoral and senior researchers.
Rui M. Costa
Alaa Abihaidar, Fernando Almeida e Costa, Michael Altherr, R. Baker Kearfott, Mark Bedau, Johan Bollen, Thomas Brettin, Edward Browne, Jean Challacombe, Ernesto Costa, Antonio Coutinho, Mariella DiGiacomo, Dario Floreano, Florentino Fdez-Riverola, Rob Goldstone, Raphael Gottardo, Inman Harvey, Charles Henry, Wim Hordijk, Chien-Feng Huang, Norman Johnson, Cliff Joslyn, Marianna Kantor, Jasleen Kaur, Vladik Kreinovich, Lang Li, An·lia LourenÁo, Richard Luce, Jeremy Luinstra, Ana Maguitman, Manuel Marques-Pita, Pedro Medina-Martins, Melanie Mitchell, Sheetal Narayanan, Predrag Radivojac, Steen Rasmussen, Andreas Rechtsteiner, Isabel Rocha, Miguel Rocha, Hagit Shatkay, Thomas Shenk, Tiago Simas, Steven Smith, Charlie Strauss, Herbert Van de Sompel, Karin Verspoor, Alessandro Vespignani, Michael Wall, Zhiping (Paul) Wang, Larry Yeager.
CNeTS: Center for Complex Networks and Systems @ The School of Informatics and Computing, Complex Systems & Networks @ Indiana University, NaN- the Networks and Agent Networks, Artificial Life @ Indiana University, Computational Biology @ Instituto Gulbenkian de Ciencia, Complex Systems Modeling Team @ Los Alamos National Laboratory