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Call for Special Session Proposals 

2010 International Conference on Intelligent Computing (ICIC2010)
August 18-21, 2010
Changsha, Hunan, China
(http://www.ic-ic.org/2010/index.htm)

The ICIC 2010 Program Committee is inviting proposals for special sessions to be held during the conference (http://www.ic-ic.org/2010/index.htm), taking place on August 18-21, 2010, in Changsha, China.

Each special session proposal should be well motivated and should consist of 5 to 8 papers. Each paper must have the title, authors with e-mails/web sites, and as detailed an abstract as possible. The special session organizer(s) contact information should also be included. All special session organizers must obtain firm commitments from their special session presenters and authors to submit papers in a timely fashion (if the special session is accepted) and, particularly, present them at the ICIC 2010. Each special session organizer will be session chair for their own special sessions at ICIC 2010 accordingly. All planned papers for special sessions will undergo the same review process as the ones in regular sessions. All accepted papers for special sessions will also be published by Springer's Lecture Notes in Computer Sciences (LNCS)/ Lecture Notes in Artificial Intelligence (LNAI)/ Lecture Notes in Bioinformatics (LNBI)/ Communications in Computer and Information Science (CCIS).

Proposals for special sessions should be submitted in ELECTRONIC FORMAT to Workshop/Special Session Chair:

Dr. Xiang Zhang,
University of Louisville, USA
xiang.zhang@louisville.edu

Dr. Vincent C S Lee
Monash University, Australia
Email: vincent.lee@infotech.monash.edu.au

Tentative Special Sessions/Workshops

2010 International Conference on Intelligent Computing (ICIC’10)
(http://www.ic-ic.org/2010/index.htm)
August 18-21, 2010
Changsha, China

1. Special Session on New Hand-Based Biometric Methods

Organizers:
Lei Zhang
Assistant Professor
Dept. of Computing, The Hong Kong Polytechnic University
Tel: 852-27667355
Fax: 852-27740842
Email: cslzhang@comp.polyu.edu.hk
http://www4.comp.polyu.edu.hk/~cslzhang/

Wei Jia
Assistant Research Fellow
Institute of Intelligent Machines, Chinese Academy of Sciences
Tel:0551-5591108
E-mail:icg.jiawei@gmail.com
http://www.intelengine.cn/English/people/2004/jw.htm

Biometric technology has been attracting more and more attention from researchers and engineers of personal authentication due to the ever-growing demand on security. With the fast development of biometric sensors and algorithms, diverse biometric systems have been now deployed in various applications. Among these biometric technologies, the hand-based biometrics, including fingerprint, 2D and 3D palm-print (http://www4.comp.polyu.edu.hk/~biometrics/2D_3D_Palmprint.htm), finger-knuckle-print (http://www4.comp.polyu.edu.hk/~biometrics/FKP.htm), hand geometry or hand shape, hand vein, etc., are most popular and have the largest (about 60%) shares in the biometrics market. However, there are still many challenging problems in improving the accuracy, robustness, efficiency, and user-friendliness of hand-based biometric systems, and new problems are also emerging with new applications, e.g. personal authentication on mobile devices and internet.

This special session aims to introduce the recent progress of hand-based biometrics and timely address the challenges in designing, developing, and deploying modern hand-based biometric systems for various practical applications. It will provide a vibrant forum for researchers and engineers to share their latest research results, findings and experience in relevant fields. We invite the submission of high-quality, original and unpublished research papers. Topics include but are not limited to:

  • New sensors for hand-based biometric data
  • Preprocessing, indexing, compression, recognition, and transmission of fingerprint, palm-print, hand geometry (or hand shape), finger-knuckle-print, hand vein, and other hand-based biometrics
  • Multi-modal hand-based biometrics
  • Securing and anti-spoofing techniques for hand-based biometrics
  • Touchless (or contact-free) and 3D hand-based biometrics
  • Applications of hand-based biometrics

A special issue in an international journal (SCI or EI indexed) with selected papers from this special session is being planned.

2. Special Session on Recent Advances in Image Segmentation

Organizers:
Lei Zhang
Assistant Professor
Dept. of Computing, The Hong Kong Polytechnic University
Tel: 852-27667355
Fax: 852-27740842
Email: cslzhang@comp.polyu.edu.hk
http://www4.comp.polyu.edu.hk/~cslzhang/

Xiao-Feng Wang
PhD, Research Associate
Institute of Intelligent Machines, Chinese Academy of Sciences
Tel:0551-5591108
E-mail:xfwang@iim.ac.cn
http://www.intelengine.cn/English/people/wxf.htm

The rapid development of image acquisition device makes an increasing number of image data available for scientific and industrial purpose, such as object recognition, tracking, image retrieval and so on. Image segmentation is a fundamental and important processing step in many of these applications. There is no comprehensive theory of image segmentation, because the object of interest in the image is largely depended on the application. Although extensive research has been conducted over the last several decades, it is still difficult to find an efficient algorithm for general purpose segmentation. 

The ever expanding applications of image data demand for the higher quality of image segmentation. In recent years, new techniques and theories have emerged in image segmentation communities. For example, energy minimization methods represent a fundamental methodology in computer vision, its application in image segmentation leads to several well-known methods, such as level set, active contour, graph cuts and so on.

This special session provides a forum for researchers and engineers to present and discuss the latest research results, to summarize recent advances, and to timely identify and address emerging problems and challenges with regard to image segmentation techniques. We invite the submission of high-quality, original and unpublished research papers. Methods of interest for image segmentation include but are not limited to:

  • Discrete and Continuous Optimization
  • Graph Theoretic Methods
  • Markov Random Fields
  • Variational Methods
  • Partial Differential Equations and Level Set Methods
  • Statistical Methods, Learning and Inference
  • Region Merging and Splitting Methods
  • Differential Geometry
  • Applications of Image Segmentation

A special issue in an international journal (SCI or EI indexed) with selected papers from this special session is being planned.

3. Special Session on Theories and Applications in Advanced Intelligent Computing

Organizers:  
Feng-Wen Cao, Professor, Ph.D
Department of Electronic Information Engineering, Suzhou Vocational University, Suzhou, Jiangsu, China Tel: +86-0512-66503936
Fax: +86-516-66503391
E-mail: cfw@jssvc.edu.cn

Tao Liu, Professor, Ph.D
Department of Electronic Information Engineering, Suzhou Vocational University, Suzhou, Jiangsu, China
Tel: +86-0512-66503936
Fax: +86-516-66503391
E-mail: lt@jssvc.edu.cn

Li Shang, Associate Professor, Ph.D
Department of Electronic Information Engineering, Suzhou Vocational University, Suzhou, Jiangsu, China
Tel: +86-0512-66503936
Fax: +86-516-66503391
E-mail: sl0930@jssvc.edu.cn

Currently, intelligent information processing techniques have been widely studied in various areas, such as intelligent computing, system control, complex system modeling, system decision-making, system optimization, system design, etc., due to the necessity of proper environmental. The aim of the proposed special session is to reflect the state of the art in intelligent information processing related applications and to provide vision and highlight future directions in this research area. This will be achieved by bringing together novel intelligent signal and information processing research results in the emerging field. This special session will bring together top researchers from around the world to discuss the latest advances on information processing techniques and their applications.  Intelligent information processing includes signal and images processing, machine learning, fuzzy information processing, neural network information processing, cloud information processing, extension information processing, rough set information processing, information fusion, quantum intelligent information processing and so on. Topics covered in the session include, but are not limited to:

  • Signal processing theory for the signal or image processing
  • Intelligent control technique and applications
  • Immune algorithm and applications
  • Ant colony optimization and applications
  • Intelligent wireless sensor networks and applications
  • Transform domain and subspace techniques – advanced classification and clustering
  • Multidimensional and information theoretic approaches
  • Applications for brain signal processing

4. Special Session on Search Based Software Engineering

Organizer:
Dunwei Gong
Professor
School of Information and Electrical Engineering, China University of Mining and Technology
Tel: 516-83995312
Fax: 516-83995312
Email: dwgong@vip.163.com
http://www.iocen.com/cp/html/?20.html

It has been found that many puzzles in software engineering can be formulated as optimization problems. Due to the computational complexity of these problems, exact optimization techniques of operations research like linear programming or dynamic programming are mostly impractical for large scale software engineering problems.
In recent years, metaheuristic search techniques like genetic algorithms, simulated annealing and tabu search have been widely applied to software engineering problems. This field of study has come to be known as search-based software engineering (SBSE) and witnessed a rapid growth in conferences, workshop, tracks, and special issues. Previous work on SBSE greatly extends the spectrum of software engineering problems from requirements analysis, project planning and cost estimation, through test data generation, to software maintenance, service-oriented software engineering, compiler optimization and quality assessment.
This special session's objective is to inspire greater research interests and accelerate novel research results in SBSE by creating a forum for discussion. We invite the submission of high quality papers describing original and significant work in all aspects of SBSE, including theoretical work, research on SBSE applications, empirical studies, and reports from industrial experience. We particularly encourage papers concern new application areas of SBSE which have not been covered before. Topics include but are not limited to:

  • Software testing
  • Requirements analysis
  • Software design
  • Software development
  • Software maintenance
  • Service-oriented software engineering
  • Quality assessment
  • Software security
  • Optimization and transformation

A special issue in an international journal (SCI or EI indexed) with selected papers from this special session is being planned.

5. Special Session on Bio-inspired Computing and Applications

Organizers:
Dr Ben Niu
College of Management, Shenzhen University
Tel: +86-0755-86250912
Fax: +86-0755-26535450
E-mail: drniuben@gmail.com

Prof Li Li
College of Management, Shenzhen University
Tel: +86-0755-26535450
Fax: +86-0755-26535450
E-mail: llii318@163.com

Dr Yanmin Liu
Department of math, Zunyi Normal College
Tel: +86-0531-86186504
Fax: +86-0531-86186504
E-mail: yanmin7813@gmail.com

Natural sciences, and especially biology, represented a rich source of optimization modelling paradigms. Bio-inspired computing is the field of research works with computational techniques inspired or gleaned from biological behavior or phenomena. In the last decades, new emerging fields of so-called biological inspired computing have been proposed such as particle swarm optimization, ant colony system, bee colony algorithm, bacterial foraging algorithm etc. This special issue is soliciting papers on all aspects of bio-inspired algorithms and their applications. This special issue provides an opportunity to present and discuss the latest theoretical advances and real-world applications in this research field. The topics of interest include but are not limited to:

  • Particle swarm optimization
  • Ant colony system
  • Bacteria foraging
  • Bees algorithm
  • Artificial life
  • Genetic algorithm
  • Other biological-inspired computation techniques
  • Dynamic optimization
  • Multi-objective optimization
  • Constrained optimization
  • Portfolio optimization
  • Shop scheduling
  • Image processing
  • Pattern recognition
  • Other real world applications

6. Special Session on advance in dimensionality reduction methods and its applications

Organizers:  
Jin Liu, Associate Professor, Ph.D
State Key Lab. of Software Engineering,
Wuhan University, Wuhan, Hubei, China
Tel: +86-027-68776052
Fax: +86-027-68776052
E-mail: mailjinliu@yahoo.com

Zhong Qiu Zhao, Ph.D
School of Computer and Information,
Hefei university of technology, Hefei, Anhui, China
Tel: +86-0551-2901393
Fax: +86-0551-2901393
E-mail: zhongqiuzhao@gmail.com

Bo Li, Ph.D
College of Computer science and technology,
Wuhan University of Science and Technology, Wuhan,
Hubei, China
E-mail: liberol@126.com

The past decade has witnessed a rapid growth of dimensionality reduction methods including manifold learning, sparse sensing and semi-supervised learning. Moreover, these methods have been applying to solve some real word problems, such as face recognition, digital handwriting and palmprint verification, gene expressive data classification and other purpose of bioinformatics, etc. This special session is to demonstrate some recent successes in dimensionality reduction methods and utilizing them to solve their real-world problems. It will cover a range of domains including machine learning, pattern recognition and all the topics inherent to them. Topics of interest include, but are not limited:

  • Machine learning
  • Real-world applications
  • Pattern recognition
  • Biological computing & DNA computing
  • Reinforcement learning
  • Sparse sensing
  • Web mining
  • Knowledge discovery and application

7. Special Session on High Throughput Genomics and Epigenomics Data Analysis:  Methods and Applications

Organizers
Chunyu Liu 
Ph.D., Assistant Professor 
Dept. of Psychiatry and Behavioral Neuroscience
University of Chicago, USA
Tel: 1-773-834-36404
Fax: 1-773-834-2970
Email: cliu@yoda.bsd.uchicago.edu

Zhongming Zhao,
Ph.D., Associate Professor,
Department of Biomedical Informatics, and Chief Bioinformatics Officer,
Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, USA,
Tel: 1-615-343-9158,
Email: zhongming.zhao@vanderbilt.edu
The rapid development of the so-called Next-Generation Sequencing technologies in the recent years makes an increasing number of genomic and epigenomic data available for biomedical research, such as gene identification, mutation and copy number variant (CNV) discovery, gene expression measurement, identification of transcription factor binding sites, DNA methylation evaluation, and so on. Massive data and its complicated underlying biology have made us great challenge to the computation. Efficient algorithms for processing the data and tools for data integration and visualizing results are much needed in this cutting-edge research field. Existing algorithms and software require unbiased evaluation before they could be wildly used by biomedical investigators.
This special session provides a forum for researchers and engineers to present and discuss the latest research results, to summarize recent advances, to evaluate existing algorithms and methods, and to timely identify and address emerging problems and challenges with regard to high-throughput genomics and epigenomics data analysis. We invite the submission of high-quality, original and unpublished papers in this area.
Methods of interest for the analysis of high-throughput genomics and epigenomics data include but are not limited to:

  • Genome Sequencing: Complete Genome & Captured Sequencing
  • RNAseq
  • Short RNA Sequencing
  • ChIP-on-chip,
  • ChIP-seq
  • Methylome Sequencing
  • Sequence Analysis in Any Genome
  • Functional Analysis

A special issue in an international journal (SCI or EI indexed) for the selected papers from this special session is being planned.

8. Special Session on Recent Advances in Medical Informatics

Organizer
Dr. Vitoantonio Bevilacqua
Assistant Professor of Expert Systems and Medical Informatics
Department of Electrical and Electronic Engineering of Polytechnic of Bari - Italy
Via Orabona, 4 - 70125 - Bari – Italy
Tel: +39-080-596 3326
Fax: +39-080-596 3410
E-mail: bevilacqua@poliba.it

Medical informatics relates several applications in different fields as Medical Imaging, Semantic web for Medicine, Knowledge-based systems and intelligent computing to perform decision systems support or data fusion applications, Bioinformatics analysis and Systems Biology approaches. The purpose of this special session is to demonstrate the potentiality of several intelligent approaches in these fields covering Artificial Intelligence, soft-computing techniques and  hybrid techniques. Knowledge-based systems and intelligent computing systems have been used in the medical planning, diagnosis and treatment. The KBS consists of rule-based reasoning, case-based reasoning and model-based reasoning where as intelligent computing method encompasses genetic algorithm(GA), artificial neural network (ANN), fuzzy logic (FL) and others. Moreover in the same field several medical imaging frameworks, have been designed to predict accurately clinical outcome and a number of applications are becoming always more interesting to predict prognosis and optimize treatment planning. 

Topics in Medical informatics include but are not limited to:

  • CAD (computer aided diagnosis)
  • Intelligent reasoning for diagnosis and prognosis
  • Advanced hybrid expert systems for merging and fusing different acquisitions
  • Bioinformatics and Systems Biology applications

9. Special Session on Intelligent Computing Algorithms in Banking and Finance

Organizer
Dr. Mianlai Zhou
Ph. D. - University of Science and Technology of China
Chief Scientist, Shanghai Bohong Asset Management Inc.
Suite 23C, Wuzhou International Building, 807 Zhaojiabang Rd,
Shanghai 200032, China
E-mail: mianlai@gmail.com

This special session aims to investigate the application of the intelligent computing algorithms and techniques in banking and finance, both theoretically and empirically. Since the relation governing the economic and financial variables is widely regarded as non-linear and obscure, the conventional mathematical and statistical models are often inapplicable in this realm, and because of the presence of significant amounts of data, the intelligent computing algorithms and techniques have attracted growing attention in banking and finance. Therefore, in this special session we focus on the ability of the intelligent computing algorithms and techniques in uncovering the non-linear relationships existing in economic and financial data and interpreting and predicting historical time series consisting of them.

Topics include but are not limited to:

  • Artificial Neural Network in Banking and Finance;
  • Support Vector Machine in Banking and Finance;
  • Financial Market Variables Prediction;
  • Probabilistic Modeling/Inference;
  • Intelligent Trading Agents;
  • Trading Room Simulation;
  • Time Series Analysis in Banking and Finance;
  • Non-linear Dynamics in Banking and Finance;
  • Financial Data Mining;
  • Trading Business Rules & Dialects;
  • Data Mining in Banking and Finance;
  • Fuzzy Theory and Models in Banking and Finance;
  • Fuzzy Systems and Soft Computing in Banking and Finance;
  • Intelligent Computing Algorithms in Pricing of Financial Derivatives;
  • Intelligent Computing Algorithms in Investment Banking and Asset Management;
  • Intelligent Computing Algorithms in Risk Management and Capital Allocation;

10. Special Session on Protein and Gene Bioinformatics: Methods and Applications

Organizers
Michael Gromiha
Ph.D., Senior Research Scientist
Computational Biology Research Center (CBRC)
National Institute of Advanced Industrial Science and Technology (AIST)
Email: michael-gromiha@aist.go.jp
Website: http://www.cbrc.jp/~gromiha/

Xue-Ling Li
Ph.D., Associate Professor 
Institute of Intelligent Machines, Chinese Academy of Sciences
Tel:0551-5591108
E-mail:xlli@iim.ac.cn
http://www.intelengine.cn/English/people/XuelinLi.htm

Lei Lin
Ph.D., Associate Professor
School of Computer Science and Technology, Harbin Institute of Technology
Email: linl@insun.hit.edu.cn

With the development of biotechnology in genome, proteomics and interactome, increasingly growing data on sequenced genomes, genome-wide gene expression profiles, protein sequences, protein structures, protein-protein interaction and networks are available in the recent years for biological and medical research, such as high-throughput protein structure prediction, genome-wide protein-protein interaction prediction, inference and prediction of protein-protein interaction contact residues and interface structures, identification of protein post-transcription modification sites, single nucleotide polymorphism (SNP) prediction, gene expression profile data analysis and so on. The complicated underlying biology mechanism presents great challenge to the above prediction and computation research. Efficient algorithms, software and tools for data integration and visualization are in great need in these cutting-edge research fields. 
This special session provides a forum for researchers to present and discuss their latest research results to timely identify and address related problems and challenges. We invite the submission of high-quality, original and unpublished papers in this area. Computational methods for protein and gene bioinformatics includes but are not limited to:

  • Protein structure analysis, folding and stability
  • Secondary and tertiary structure prediction of globular and membrane proteins
  • Analysis and prediction of protein-protein, protein-nucleic acid and protein-ligand interactions including contact sites, hotspots and interface
  • Modeling and Analysis on protein interaction network, its dynamics and relation with cancer
  • Gene regulatory network modeling
  • Disease related single nucleotide polymorphism identification
  • Disease related cell signaling pathway identification
  • Gene expression profile data analysis
  • DNA Barcoding
A special issue in an international journal (SCI or EI indexed) for the selected papers from this special session is being planned.