Fuzz-IEEE2015: Fuzzy methods and applications in bioinformatics and health (FABH)
FUZZ-IEEE 2015 ( 2015 IEEE International Conference on Fuzzy Systems )
Istanbul, Turkey, August 2-5, 2015
Special Session: Fuzzy methods and applications in bioinformatics and health
Ali Reza Khanteymoori, and
The extensive use of fuzzy techniques and methods confirms that they present a a valuable approach in bioinformatics and health data analysis. This is due to several interesting qualities of fuzzy techniques such as the ability to process noisy data and the ability to decrease complexity. This special session, organized by he IEEE CIS Task Force of gFuzzy Logic in Medical Sciencesh, focuses on fuzzy logic based methods and applications for bioinformatics and health problems, with topics including bioinformatics data mining, pattern recognition, medical signal/image processing, healthcare/nursing care applications, hospital informatio. In addition, the special session aims to give an opportunity to researchers from both theoretical and application fields to communicate, discuss and, ultimately, collaborate, potentiall leading to new research areas in the near future.
Topics of interest:
- Fuzzy logic-based medical and health diagnosis control system
- Fuzzy logic-based medical and health applications
- Soft computing for medical and health applications
- Fuzzy logic-based affective computing and psychological evaluations
- Fuzzy data analysis-bioinformatics, medical informatics, pattern recognition
- Fuzzy optimization and control
- Fuzzy machine learning approach to medical and health applications
- Fuzzy machine learning approach to biomedical applications
- Neuro-fuzzy models for biomedical signal processing
- Signal processing of MRI, fMRI, EEG, ECG, etc.
- Smart diagnostic predictions of various diseases
- Applications in image processing and pattern recognition
- Fuzzy logic vs. other soft computing approaches
- Approaches based on neuro-fuzzy, evolutionary neuro-fuzzy, neuro-genetic, genetic fuzzy, fuzzy cognitive map
- Fuzzy inference systems, Assistive robotics
- Fuzzy temporal representation of knowledge
- Future trends, Datasets, Healthcare
Manuscripts submitted to the special session through the paper submission website of [FUZZ IEEE 2015] as regular submissions. It is the responsibility of the authors to make sure that papers submitted to the special session clearly indicate the name of the special session the paper belongs to. All papers submitted to the special session will be subject to the same peer-review review procedure as the regular papers. Please note that this special session is specifically & exclusively related to the 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2015). Please email the organizers for any query and before/after submitting a paper.
Date for paper submissions: February 8, 2015
Paper decision notification: March 23, 2015
Final paper submission deadline: April 21, 2015
Early-registration deadline: April 23, 2015
Short biographies of organizers:
Syoji Kobashi is an associate Professor of University of Hyogo. He was a visiting scholar at Medical Image Processing Group (Prof. Udupa, IEEE Fellow), Department of Radiology, University of Pennsylvania in 2011. He received 14 international awards including Franklin V. Taylor Memorial Award (IEEE-SMCS, 2009), IEEE-EMBS Japan Young Investigators Competition (EMBS Japan Chapter, 2003). He has been serving on the chair of International Forum on Multimedia and Image Processing, and an associate editor of 4 journals including International Journal of Intelligent Computing in Medical Sciences and Image Processing, and many othrers. He is a promotion committee member of Japan society of fuzzy theory and intelligent informatics (2009-2014), and the chair of IEEE CIS Task Force of "Fuzzy Logic in Medical Sciences" (2013-).He is a senior member of IEEE.
Ali Reza Khanteymoori is an assistant professor of computer engineering department at University of Zanjan. He graduated from the Amirkabir University of Technology (Tehran Polytechnic, Iran), computer engineering PhD program. He is head of bioinformatics and machine learning research laboratoary at university of Zanjan. He is also also a member of Dr. Tom Chittendenfs research group, Complex Biological Systems Alliance. He was scientific committee co-chair and sessions chair of 8th conference on machine vision and image processing (ICMVIP 2013). His long-term research themes include Computational Intelligence, Bioinformatics, Bio-inspired Algorithms and Machine Learning.
Gerald Schaefer works in the Vision, Imaging and Autonomous Systems Research Division at Loughborough University, U.K. His research interests are mainly in the areas of colour image analysis, image retrieval, physics-based vision, medical imaging, and computational intelligence. He has published extensively in these areas with a total publication count exceeding 350. He is/was a member of the editorial board of more than 20 international journals, reviews for over 100 journals and served on the programme committee of more than 300 conferences. He has been invited as keynote or tutorial speaker to numerous conferences, is the organiser of various international workshops and special sessions at conferences, and the editor of several books, conference proceedings and special journal issues.
Copyright: University of Hyogo