2014 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2014
The 11th annual IEEE Computational Intelligence in Bioinformatics and Computational Biology Conference will bring together top researchers, practitioners, and students from around the world to discuss the latest advances in the field of Computational Intelligence and its application to real world problems in biology, bioinformatics, computational biology, chemical informatics, bioengineering, and related fields.
Computational Intelligence approaches include artificial neural networks and learning systems, fuzzy logic, evolutionary algorithms, hybrid algorithms, and other emerging techniques.
http://www.ocib.ca/images/bioinformatics.jpg
May 21-24, 2014, Hilton Hawaiian Village, Honolulu, HI
The 11th annual IEEE Computational Intelligence in Bioinformatics and Computational Biology Conference will bring together top researchers, practitioners, and students from around the world to discuss the latest advances in the field of Computational Intelligence and its application to real world problems in biology, bioinformatics, computational biology, chemical informatics, bioengineering, and related fields.
Computational Intelligence approaches include artificial neural networks and learning systems, fuzzy logic, evolutionary algorithms, hybrid algorithms, and other emerging techniques.
Topics of interest include but are not limited to:
. Gene expression array analysis
. Structure prediction and folding
. Molecular sequence alignment and analysis
. Metabolic pathway analysis
. RNA and protein folding and structure prediction
. Analysis and visualization of large biological data sets
. Motif detection . Molecular evolution and phylogenetics
. Systems and synthetic biology
. Modeling, simulation, and optimization of biological systems
. Robustness and evolvability of biological networks
. Emergent properties in complex biological systems
. Ecoinformatics and applications to ecological data analysis
. Medical imaging and pattern recognition
. Medical image analysis
. Biomedical data modeling and mining
. Treatment optimization
. Biomedical model parameterization
The use of computational intelligence must play a substantial role in submitted papers.
For additional information, contact the General Chair, Steven Corns, Engineering Management and Systems Engineering Department, Missouri University of Science and Technology, Rolla, MO.
Email: cornss@mst.edu
More information at: http://www.cibcb.org
General Chair: Steven Corns (USA)
Program Chair: De-Shuang Huang (China)
Technical Co-Chairs:
Sansanee Auephanwiriyakul - Fuzzy Systems (Thailand)
Madhu Chetty- Evolutionary Computation (Australia)
Francesco Masulli - Special Approaches (Italy)
Roberto Tagliaferri - Neural Networks (Italy)
Finance Chair: Wendy Ashlock (Canada)
Local Arrangements Chair: David Fogel (USA)
Tutorials Chair: Dan Ashlock (Canada)
Proceedings Chair: Jennifer Leopold (USA)
Publicity Chair: David Corne (UK)
Web Chair: Elizabeth Cudney (USA)
Poster Session Chair: Kay Wiese (Canada)
Special Session Chair: Sheridan Houghten (Canada)
Computational Intelligence approaches include artificial neural networks and learning systems, fuzzy logic, evolutionary algorithms, hybrid algorithms, and other emerging techniques.
http://www.ocib.ca/images/bioinformatics.jpg
May 21-24, 2014, Hilton Hawaiian Village, Honolulu, HI
The 11th annual IEEE Computational Intelligence in Bioinformatics and Computational Biology Conference will bring together top researchers, practitioners, and students from around the world to discuss the latest advances in the field of Computational Intelligence and its application to real world problems in biology, bioinformatics, computational biology, chemical informatics, bioengineering, and related fields.
Computational Intelligence approaches include artificial neural networks and learning systems, fuzzy logic, evolutionary algorithms, hybrid algorithms, and other emerging techniques.
Topics of interest include but are not limited to:
. Gene expression array analysis
. Structure prediction and folding
. Molecular sequence alignment and analysis
. Metabolic pathway analysis
. RNA and protein folding and structure prediction
. Analysis and visualization of large biological data sets
. Motif detection . Molecular evolution and phylogenetics
. Systems and synthetic biology
. Modeling, simulation, and optimization of biological systems
. Robustness and evolvability of biological networks
. Emergent properties in complex biological systems
. Ecoinformatics and applications to ecological data analysis
. Medical imaging and pattern recognition
. Medical image analysis
. Biomedical data modeling and mining
. Treatment optimization
. Biomedical model parameterization
The use of computational intelligence must play a substantial role in submitted papers.
For additional information, contact the General Chair, Steven Corns, Engineering Management and Systems Engineering Department, Missouri University of Science and Technology, Rolla, MO.
Email: cornss@mst.edu
More information at: http://www.cibcb.org
General Chair: Steven Corns (USA)
Program Chair: De-Shuang Huang (China)
Technical Co-Chairs:
Sansanee Auephanwiriyakul - Fuzzy Systems (Thailand)
Madhu Chetty- Evolutionary Computation (Australia)
Francesco Masulli - Special Approaches (Italy)
Roberto Tagliaferri - Neural Networks (Italy)
Finance Chair: Wendy Ashlock (Canada)
Local Arrangements Chair: David Fogel (USA)
Tutorials Chair: Dan Ashlock (Canada)
Proceedings Chair: Jennifer Leopold (USA)
Publicity Chair: David Corne (UK)
Web Chair: Elizabeth Cudney (USA)
Poster Session Chair: Kay Wiese (Canada)
Special Session Chair: Sheridan Houghten (Canada)
