Luis M. Rocha is Associate Professor of Informatics and Computing in Informatics and Computing, member of the Center for Complex Networks and Systems, and core faculty of the Cognitive Science Program at Indiana University, Bloomington, USA. He is also the director of the Computational Biology Collaboratorium and in the Direction of PhD program in Computational Biology at the Instituto Gulbenkian da Ciencia, Portugal. His research is on complex systems, computational biology, artificial life, embodied cognition and bio-inspired computing. He received his Ph.D in Systems Science in 1997 from the State University of New York at Binghamton. From 1998 to 2004 he was a permanent staff scientist at the Los Alamos National Laboratory, where he founded and led a Complex Systems Modeling Team during 1998-2002, and was part of the Santa Fe Institute research community. He has organized major conferences in the field such as the Tenth International Conference on the Simulation and Synthesis of Living Systems (Alife X) and the Ninth European Conference on Artificial Life (ECAL 2007). He has published many articles in scientific and technology journals, and has been the recipient of several scholarships and awards. At Indiana University, he has received the School of Informatics and Computing Teaching Excellence Award for 2006 after developing a new syllabus for an introductory undergraduate course on Informatics and a new graduate course on biologically-inspired computing.
Information about my research group meetings, projects, and ongoing work is available on the CASCI Website. Additional information about my research, academic and personal activities is available on my web site. Contact Information:
In The USA:
Center for Complex Networks and Systems Research
School of Informatics & Computing
Indiana University, 919 E. 10th St
Bloomington IN, 47408, USA
FLAD Computational Biology Collaboratorium
Instituto Gulbenkian de Ciência
Rua da Quinta Grande, 6
Apartado 14, P-2781-901 Oeiras, Portugal
Peter M. Todd (PI)
Adaptive Behavior and Cognition—West
The Adaptive Behavior and Cognition Lab–West (ABC-West) is dedicated to exploring the cognitive mechanisms that people (and other animals) use to behave adaptively in their environments. We study the interactions between behavior and environment at multiple scales–including how cognitive mechanisms have evolved in response to particular environmental structures, how behaviors are learned through interactions with the environment, and how behaving and acting in the world can change the environmental structures that agents face in the future. We look at particular adaptively important domains such as mate choice and food choice, and we use tools including agent-based modeling and simulation and laboratory experiments. ABC-West was formed in 2005 through budding from the original ABC Research Group in Berlin, Germany.
Complex Adaptive Systems and Computational Intelligence
We are a research group at Indiana University and the Instituto Gulbenkian de Ciencia working on complex 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 the evolutionary capabilities of natural systems, as well as abstracting principles from natural systems to produce adaptive information technology.
Our research projects (see below) are on computational and systems biology, complex networks, text and literature mining, evolutionary systems, adaptive search and recommendation, cognitive science, artificial life, and biosemiotics. Additional information available on Luis Rocha’s Website and our group page at the Instituto Gulbenkian de Ciencia.
For information on joining our group see our Academics page. As a group, we are seriously interconnected with other research groups and networks: The Center for Complex Networks and Systems (CNets), Alife@IU, Biocomplexity Institute, Cognitive Science Program, Complex Systems & Networks, FLAD Computational Biology Collaboratorium, InfoVis Lab, Instituto Gulbenkian de Ciencia, Networks an Agents (NAN).
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Biomedical Literature Mining
Collective Dynamics in Complex Biochemical Networks
Models of RNA Editing
Artificial Immune Systems
Network Analysis of Weighted and Fuzzy Graphs
The Adaptive Web
Genomic Multivariate Analysis
Uncertainty and Generalized Information Theory