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    Share your research findings and results with us.

    Welcome experts and scholars from all over the world.

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    Submit your paper to ICBRA 2017.

    You're welcome to submit research papers for presentation and publication.

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    Extend communication and cooperation in Barcelona.

    ICBRA 2017 provides platform for communication and cooperation.

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Keynote Speakers

2017 International Conference on Bioinformatics Research and Applications (ICBRA 2017) will be held in Barcelona, Spain during December 8-10, 2017. The conference group sincerely invite any potential experts or scholars to help better organizing the conference, to improve better communication and to make better quality papers. If you are interested, please send your brief resume to icbra-info@cbees.net.


Keynote Speaker I

Prof. Graham Ball
Nottingham Trent University, UK

Prof. Graham Ball is Professor of Bioinformatics at Nottingham Trent University and CSO of CompanDX Ltd. He is Associate Director the John Van Geest Cancer Research Centre and biostatistics lead on three clinical projects. He is a visiting professor at the University of Auvergne and at Nottingham University Hospitals Trust. He has been involved in the development and validation of bioinformatic algorithms using Artificial Neural Networks to identify robust biomarkers and key molecular drivers for the last 15 years. After a PhD (UN funded) and a Post Doc modelling environmental interactions with ANNs at NTU, in 2000 he shifted the focus of his analysis to proteomic and genomic data searching for proteins and genes associated with cancer. His current research interests are directed at the classification and characterisation of biological systems, identification of molecular drivers of disease and development of diagnostic and classification models through the use of ANNs and other machine learning techniques. Areas of interest include pan cancer studies, host response to infection and immune function in cancer. He has over 140 publications (many of 3* and 4* rating) and 3 patents in the field.

Speech Title: "Metamining Breast Cancer Data to Investigate Drivers of Proliferation Using an Artificial Neural Network Based Approach"

Keynote Speaker II

Prof. Sri Krishnan
Ryerson University, Canada

Sridhar (Sri) Krishnan received the B.E. degree in Electronics and Communication Engineering from Anna University, Madras, India, in 1993, and the M.S. and Ph.D. degrees in Electrical and Computer Engineering from the University of Calgary, Calgary, Alberta, Canada, in 1996 and 1999 respectively. He joined Ryerson University, Toronto, Canada in 1999 and since October 2007 he has been appointed as a Canada Research Chair in Biomedical Signal Analysis. Sri Krishnan has published 280 papers in refereed journals and conferences, and five of his papers have won best paper awards. He is a Fellow of the Canadian Academy of Engineering, Senior Member of IEEE and a member of the Professional Engineers of Ontario. Sri Krishnan is a recipient of many national and provincial awards including the 2013 Achievement in Innovation Award from Innovate Calgary, 2011 Sarwan Sahota Distinguished Scholar Award, 208 Biodiscovery Award, 2007 Engineer Achievement Award from Engineers Canada; 2006 South Asian Community Achiever Award; 2006 New Pioneers Award in Science and Technology; 2006 Best IEEE Chapter Chair Award (Toronto Section); and 2005 Research Excellence Award from the Faculty of Engineering, Ryerson University."

Speech Title: "Perspectives on Feature Extraction from Biomedical Signals"

Extraction of features from signals pays an important role in many pattern classification and intelligent systems design. This talk will cover time domain, spectral domain, joint time-frequency domain and sparse domain-based feature extraction techniques. The extraction and classification of complex instantaneous signal features will be also discussed in detail. Applications of the feature extraction methods in the context of biomedical signal processing will be covered.

Plenary Speaker I

Prof. Ralf Hofestädt
Bielefeld University, Germany

Prof. Ralf Hofestädt studied Computer Science and Bioinformatics at the University of Bonn. He finished his PhD 1990 (University Bonn) and his Habilitation (Applied Computer Science and Bioinformatics) 1995 at the University of Koblenz. From 1996 to 2001, he was Professor for Applied Computer Science at the University of Magdeburg. Since 2001, he is Professor for Bioinformatics and Medical Informatics at the University Bielefeld. The research topics of the department concentrate on biomedical data management, modeling and simulation of metabolic processes, parallel computing and multimedia implementation of virtual scenarios.

Speech Title: "Petri-Nets for Quantitative Modeling and Simulation of Biochemical Networks"

Abstract: Adam Petri defined his formalism more than 50 years ago. The purpose of his work was to find a method to model and analyze parallel processes. His work was the start point of the so called Petri-Net theory. At the beginning of the 90ties the first papers showed up demonstrating that modeling, simulation and analysis of biochemical networks can be done using Petri-Nets. The advantage of Petri-Nets is that simple parallel discrete process can be modeled as well as complex analytical networks. For modeling of complex biochemical networks different higher Petri-Net formalizations including features as time and probability were developed and published. Based on these formalizations different simulation tools where developed and implemented. During the last years new biotechnology tools like sequencing produced more and more molecular data. Today so called big data is available based on different omics analysis tools. The result of all these activities is the new subject Quantitative Biology. The analysis of this data is one actual topic of Bioinformatics/ Biochemistry. The classical method to analyze biochemical networks is based on complex differential equations. At this point Petri-Nets represent a new method to model, simulate and analyze complex biochemical networks. Hybrid Petri-Nets are able to represent discrete and analytical reactions including complex kinetic reactions. In this talk the Petri-Net theory for modeling and simulation of biochemistry networks will be introduced. Furthermore selected examples will demonstrate the advantage of this formalization in detail.

Plenary Speaker II

Prof. François LANGEVIN
Université de Technologie de Compiègne, France



Latest News

July 05, 2017


ICBRA 2017 accepted papers can be published in ACM Conference Proceedings or IJBBB.

June 15, 2017


Many experts related to Bioinformatics fields have joined the conference committee.


April 10, 2017


ICBRA 2017 conference website is announced and submission is open now.

Important Date
Before September 30, 2017
On October 15, 2017
On October 30, 2017


On December 8-10, 2017
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