Accepted Special Sessions and Workshops        


Special Sessions:

  • Special Session 01: Multicriteria Analysis with Imprecise Information and Criteria Interactions
    Chaired by Luiz Flavio AutrSan Monteiro Gomes (Ibmec/Rio de Janeiro, Brazil. autran@ibmecrj.br) ;

    In many practical situations the information one deals with in multicriteria analyses is imprecise and criteria are interdependent. In this session we present realistic cases where different analytical methods and techniques for tackling these problems have been applied. These examples cases are taken from combined fields such as knowledge management, software industry, construction engineering, group decision making, and real estate analysis. Papers presented in this session may cover topics such as imprecise information represented by fuzzy and interval data, risk aversion, computing interactions by the Choquet Integral, and robust ordinal regression as a way to model imprecision and criteria interactions.

    *Sandra M. Neves, Valerio A. P. Salomon, Carlos E. S. Silva and Aneirson F. Silva, Structuring Critical Success Factors for Knowledge Management at Software Enterprises
    *Edmundas Kazimieras Zavadskas, Zenonas Turskis, Jolanta Tamosaitiene, Multiple Criteria Group Decision Assessment of Sustainable Dwelling Houses Refurbishment
    *Luiz Flavio Autran Monteiro Gomes, Maria Augusta Soares Machado, Renato Monte Araujo, Internationalization Decision Making In A Retailing Context: Modeling Imprecision and Criteria Interactions

  • Special Session 02: Optimal Decisions on Production and Logistics

    Workshop Chair:
    Hsiao-Fan Wang( hsiaofanwang@gmail.com, National Tsing Hua University, Taiwan)
    Ying-Yen Chen( d933810@oz.nthu.edu.tw, National Tsing Hua University, Taiwan);

    *Cheng-Ju Chuang, Chia-Huei Ho*, Liang-Yuh Ouyang, Chien-Wei Wu, An integrated inventory model with order-size-dependent credit policy and quality improvement
    * Hsiao-Fan Wang, Two-level Stackelberg Game for Subsidy and Penalty Decisions on a Green Industry Sector
    * Ying-Yen Chen , Fuzzy Flexible Delivery and Pickup Problem with Time Windows
    * Chih-Chin Liang, Smart Inventory Management System of Food-Processing and Distribution Industry

  • Special Session 03: Soft Computing Methods in Quantitative Management
    Workshop Chair:
    Florin Gheorghe Filip ( ffilip@acad.ro ,Romanian Academy, Romania)
    Ioan Dzitac ( idzitac@gmail.com,Agora University of Oradea, Romania)

    Artificial and Computational Intelligence provide the background for the development of smart management systems. Today, such intelligent systems may take many forms, encompass a variety of approaches and include many design challenges. The goal of this special session is to bring together researchers interested in applications of soft computing algorithms and procedures in quantitative management, in order to exchange ideas on problems, solutions, and to work together in a friendly environment. Topics of interest include, but are not limited to:

    * Ant colony optimization algorithms
    * Artificial intelligence methods for web mining
    * Computational intelligence methods for data mining
    * Decision support systems for quantitative management
    * Decision making with missing and/or uncertain data
    *Fuzzy and neuro-fuzzy modelling and simulation
    *Fuzzy-sets-based models in operation research
    *Knowledge Discovery in Databases
    *Machine learning for intelligent support of quantitative management
    *Neural networks in decision making tools
    *Smarter decisions

  • Special Session 04: Fuzzy Preference Modelling, Decision Making and Consensus
    Workshop Chair:
    Enrique Herrera-Viedma ( viedma@decsai.ugr.es,Granada University, Spain)
    Francisco Chiclana ( chiclana@dmu.ac.uk,De Montfort University, U.K.)
    Francisco Javier Cabrerizo ( cabrerizo@issi.uned.es,UNED, Spain)
    Ignacio Javier P¨¦rez ( ignaciojavier.perez@uca.es,University of Cadiz, Spain)

    The preference modelling deals with the representation and modelled of the preferences provided by the experts in the problems. The fuzzy logic provides an adequate framework to deal with the uncertainty presented in the user opinions. The fuzzy preference modelling has been satisfactory applied in decision making and consensus context. The objective of the proposed session is to highlight the ongoing research on fuzzy preference modelling in consensus and decision making under uncertainty. Focusing on theoretical issues and applications on various domains, ideas on how to solve consensus processes in decision making under fuzzy preference modelling, both in research and development and industrial applications, are welcome. Papers describing advanced prototypes, systems, tools and techniques and general survey papers indicating future directions are also encouraged. Topics appropriate for this special session include, but are not limited to:

    * Fuzzy preference modelling in group decision-making
    * Decision support systems based on fuzzy preference modelling
    * Consensus in fuzzy multiagent decision making
    * New models of fuzzy preference modelling
    * Fuzzy preference modelling in Web 2.0 decision frameworks
    * Fuzzy preference relations
    * Aggregation of fuzzy preferences


  • Workshop 01:First Workshop on Semantic Learning and Intelligent Awareness
    Workshop Chair: Alex Liu ( alexliu360@gmail.com ,Michigan State University, USA)
    Dr. Zhou Xiaofei ( zhouxiaofei@iie.ac.cn,Chinese Academy of Sciences, China)

    Semantic knowledge discovering, extraction and learning are becoming more widespread and significant in the fields such as information filter, text mining, content retrieval, web analysis and multimedia recognition. Semantic is unseen essential knowledge, which is latent structure, feature, and relations behind the web content, link, text context, words, documents, multimedia, and social agents. Currently semantic methods including semantic web, text semantic, document topic, wordnet, multimedia semantic, are the hot researches in computer science disciplines involving natural language, artificial intelligence, pattern mining, graph computing, social and behavior studies etc. The aim of this session is to provide an international forum to discuss semantic learning and data intelligent awareness for many research fields of computational sciences. The topics covered will include, but not limited to:

    *Web mining & security
    *Semantic Learning for text mining
    *Semantic knowledge in multimedia
    *Social agents for intelligent awareness
    *Intelligent information filter
    *Context-based recognition
    *Unsupervised learning of event ontologies
    *Semantic representations of spatio-temporal data
    *Semantic multimedia presentation
    *Event recognition by vision information
    *Situational semantic awareness
    *Content retrieval based semantic knowledge
    *Probabilistic models
    * Topic Models
    *Graph Computing

  • Workshop 02: DATICS-ITQM'13 Workshop
    Chaired by Ka Lok Man ( Ka.Man@xjtlu.edu.cn,Xi'an Jiaotong-Liverpool University, China)

    DATICS Workshops were initially created by a network of researchers and engineers both from academia and industry in the areas of Design, Analysis and Tools for Integrated Circuits and Systems. Recently, DATICS has been extended to the fields of Communication, Computer Science, Software Engineering and Information Technology. The main target of DATICS-ITQM'13is to bring together software/hardware engineering researchers, computer scientists, practitioners and people from industry to exchange theories, ideas, techniques and experiences related to all aspects of DATICS.

    Circuits, Systems and Communications:

    *Design, Simulation and Test of Digital, Analog, Mixed Mode and RF Circuits and Systems
    *Processor Design and Embedded Systems
    *VLSI, ASIC, FPGA, SoC and MPSoC
    * Computer Aided Design and Electronic Design Automation
    *Circuits and Systems for Communications
    *Power Systems and Power Electronic Circuits
    * Nonlinear Circuits and Systems
    *Control Theory Topics in Circuits and Systems
    *Signal Processing * Circuits and Systems for Biomedical Applications
    *Circuit sand Systems for Energy Harvesting
    *Circuits and Systems for Cryptography
    *Circuits and Systems for Low Power Applications
    *Computer Aided Verification
    *Computer Aided Interconnect Analysis and Optimization
    * Circuit/Device Modeling and Simulation
    *Formal Modelling and Analysis of Circuits and Systems
    *SystemC, SystemVerilog and Transcation Level Modelling
    *Self-Correcting/Self-Healing Circuits and Systems
    *Cyber-Physical Systems
    *Battery Management Systems
    *Photovoltaic System Design

    Computer Science, Software Engineering and Information Technology:

    * Formal Methods, Graph Theory, Process Algebras, Petri-Nets, Automaton Theory, BDDs and UML
    *Equivalence and Model Checking, SAT-based Methods and Probabilistic Methods
    *Average-Case Analysis and Worst-Case Analysis
    *Numerical Algorithms
    *Software Developed to Solve Science
    *Computational Biology and Bioinformatics
    *Intelligent Systems
    *Internet and Web Systems
    *Real-Time, Hybrid, Embedded and Cyber-Physical Systems
    *Agent and Autonomous Systems
    *Scientific Computing and Applications
    *Computer and Information Science
    *Computer Networks and Data Communications
    *Distributed Systems, Grid Computing and Services Computing
    *Design and Programming Methodologies for Network Protocols and Applications
    *Wireless Sensor Networks
    *E-Business Design and Applications
    *Financial Mathematics
    *Computer-Aided Design and Manufacturing
    *Computer Architecture *Computer Control and Robotics
    *Computer Graphics, Animation, and Virtual Reality
    *Computers in Education and Learning Technologies
    *Computer Modeling and Simulations
    *Computer Security and Privacy
    *Computer Vision and Pattern Recognition

  • Workshop 03: The 3rd Workshop on Risk Correlation Analysis and Risk Measurement (RCARM2013)
    Workshop Chair:
    Jianping Li ( ljp@casipm.ac.cn , Chinese Academy of Sciences, China)
    Yi Peng ( pengyicd@gmail.com,University of Electronic Science and Technology of China, China)
    Xiaodong Lin ( lin@business.rutgers.edu,Rutgers University, USA)

    The analysis of inter-risk correlation and risk aggregation is an important factor to risk measurement, such as the interaction of market risk, credit risk and operational risk. Correlation analysis and risk measurement can be viewed as a Multiple Criteria Decision Making problem in a certain extent, which is the trade-off among different aspects, such as the "project triangle"£¨cost, quality and schedule£©.Some mathematical models such as Copula models are used for measuring risk correlation, but risk management must extend far beyond the use of standard measurement in practical operations and applications. An important aspect is to emphasize on the correlation analysis of risks and thus effectively measure all kinds of financial risks. In order to promote the development of risk correlation and measurement, we organize a special workshop dedicated to the topic of "risk correlation analysis and risk measurement" under the first International Conference on Information Technology and Quantitative Management (ITQM 2013)(http://www.iaitqm.org/Conference&meetings/Featured-upcoming-conference.html). The main purpose of this workshop is to provide researchers and practitioners an opportunity to share the most recent advances in the area of risk correlation and measurement, to assess the state of knowledge of risk correlation and measurement, to generate new results in this relatively under-researched area, and determine directions for further research, Papers should present modeling approaches/perspectives to risk correlation and measurement. The workshop is interested in topics related to all aspects of risk correlation and measurement. Topics of interest include, but are not limited to, the following:

    * Foundation of risk correlation and dependency
    * Correlation analysis of financial risks
    * Correlation analysis of software risks
    * Correlation analysis of project risks
    * Risk correlation and portfolio
    * Risk correlation modeling
    * Risk analysis by multiple criteria
    * Risk integrated management and risk correlation
    * New techniques to risk measurement
    * Credit scoring, Credit rating

  • Workshop 04:Intelligent Knowledge Management
    Workshop Chair:
    Jifa Gu ( jfgu@amss.ac.cn ,Chinese Academy of Sciences, China)
    Lingling Zhang ( zhangll@gucas.ac.cn,Chinese Academy of Sciences, China)

    Knowledge or hidden patterns discovered by data mining from large databases has great novelty, which is often unavailable from experts' experience. Its unique irreplaceability and complementarity has brought new opportunities for decision-making and it has become important means of expanding knowledge bases to derive business intelligence in the information era. The challenging problem, however, is whether the results of data mining can be really regarded as "knowledge". To address this issue, the theory of knowledge management should be applied. Unfortunately, there appears little work in the cross-field between data mining and knowledge management. Intelligent Knowledge Management is the management of how rough knowledge and human knowledge can be combined and upgraded into intelligent knowledge. Intelligent Knowledge Management aims to bridge the gap between these two fields. This study not only promotes more significant research beyond data mining, but also enhances the quantitative analysis of knowledge management on hidden patterns from data mining. The main purpose of this workshop is to provide researchers and practitioners an opportunity to share the most recent advances in the area of data mining, expert mining, pattern refinement and intelligent knowledge management, to generate new methods to evaluate the mined patterns and determine directions for further research. Papers should present modeling approaches/perspectives to intelligent knowledge. The workshop is interested in topics related to all aspects of patterns evaluation expert mining and intelligent knowledge. Topics of interest include, but are not limited to, the following:

    * Intelligent Knowledge Management
    * Knowledge synthesis
    * Expert Mining
    * Pattern Refinement
    * Interestingness Measures for Knowledge Discovery
    * Knowledge Presentation and Visualization
    * Knowledge Evaluation
    * KDD Process and Human Interaction
    * Intelligent Knowledge Management System
    * Intelligent Systems and Agents
    * Multi Agent-based KDD Infrastructure
    * Meta-synthesis and Advanced Modeling
    *Knowledge Reuse and Ontology
    * Knowledge Management Support Systems

  • Workshop 05:The 7th International Workshop on Computational Methods in Energy Economics (CMEE2013)
    Workshop Chair:
    Lean Yu ( yulean@mail.buct.edu.cn,Beijing University of Chemical Technology, China)
    Kaijian He ( hekj@mail.buct.edu.cn,Beijing University of Chemical Technology, China)

    As is known to all, energy economics is a subfield of economics that focuses on energy relationships as the foundation of all other relationships. The field can arise from a number of disciplines, including economic theory, financial economics, computational economics, statistics, econometrics, operational research and strategic modeling. A wide interpretation of the subject includes, for example, issues related to forecasting, financing, pricing, investment, development, conservation, policy, regulation, security, risk management, insurance, portfolio theory, taxation, fiscal regimes, accounting and the environments. In these listed issues there are a large number of computational problems to be solved for the energy systems, particular for energy risk measurement and management. This will be the second workshop for such a subject that provides a premier and open forum for the dissemination of innovative computational methods as well as original research results in energy economics and energy risk management. In order to provide an academic exchange platform, the First International Workshop on Computational Methods in Energy Economics (CMEE 2007) was held in Beijing on May 27-30, 2007. Subsequently, the Second, Third, Fourth, Fifth and Sixth International Workshop on Computational Methods in Energy Economics (CMEE 2008, CMEE 2009, CMEE 2010, CMEE 2011, and CMEE 2012) were held in Nanjing, Sanya, Huangshan, Kunming, and Harbin on June 27-30, 2008, April 24-26, 2009, May 28-31, 2010, April 15-19, 2011 and June 24-26, 2012. To promote the idea-exchange and discussion of this field, the Seventh International Workshop on Computational Methods in Energy Economics (CMEE 2013) will be held in Suzhou on May 16-18, 2012. The workshop will provide an open forum for research papers concerned with the computational problems on energy economics and energy risk management, including economic and econometric modeling, computation, and analysis issues in energy systems. The workshop will focus on, but not limited to, the following topics:

    * Forecasting models for energy prices (oil, coal, gas, electricity)
    * Pricing models in energy markets (mean reversion, jump diffusion)
    * Investment analysis models in energy projects (portfolio theory)
    * Econometric modeling for energy demands
    * Energy and environment policy modeling
    * Modeling strategic behavior for energy security
    * Hybrid energy-economy models for energy policy simulation
    * Statistical analysis of energy cost, energy consumption and economic growth
    * Energy risk management (risk measurement, hedging strategy and instruments)

  • Workshop 06:Supply Chain Decisions Considering Human Behaviors
    Workshop Chair:
    Liang Liang ( lliang@ustc.edu.cn,University of Science and Technology of China, China)
    Qinglong Gou ( tslg@ustc.edu.cn ,University of Science and Technology of China, China)
    Zhimin Huang ( huang@adelphi.edu,Adelphi University, USA)

    Results derived from traditional Operations Management often deviate from practices. Noting this gap between theory and practice, increasing researchers are trying to take human behaviors into consideration during the past decade, to investigate their impacts on complex operations systems. Here, human behaviors which have been studied include overconfident, loss aversion, emotion, mental accounting, time inconsistent as so on. This special workshop focuses on the impacts of human being behaviors on supply chain decisions, which can be both empirical and modeling. The purposes of this workshop include: (i) to share the latest research work of this area, (ii) to identify new research problems related behavioral research in operations management; and (iii) to enhance interdisciplinary collaborations among researchers.

  • Workshop 07:The First Workshop on Quality Safety Management
    Chaired by Haiyan Wang ( njue2010@163.com,Nanjing University of Finance and Economics, China)

    With the development of economic globalization and informatization, emerging industries continue to produce and are widely applied. The quality safety problems have appeared. In order to solve the global problems during economic development, we need the joint efforts from governments, enterprises and social organizations all over the world, which means new challenges and requirements o quality issues. The issue of product quality safety is related to the vital interests of the masses and the sustainable economic and social development. For corporations, the quality safety affects the economic profits and the brand value. A company can only survive and enlarge by its high quality and sustain its position by its quality credit. The workshop includes the following topics:

    *Risk Management of Quality Safety
    *Theories and Policies of Quality Safety Supervision
    *Theories and Techniques of Enterprise Quality Credit Evaluation
    *Theory and Technique of Product Quality Safety Testing
    *System for Energy Quality Engineering
    * Safety Engineering System for Urban Public Transportation
    * Information Technology In Quality Safety Management Information

  • Workshop 08:First Workshop on Data Leakage Prevention and Forensics
    Workshop Chair:
    Jinqiao Shi ( shijianqiao@iie.ac.cn, Chinese Academy of Sciences)
    Xiaojun Chen ( chenxiaojun@iie.ac.cn, Chinese Academy of Sciences)
    Peng Zhang ( zhangpeng04@gmail.com,Chinese Academy of Sciences)

    Data leakage is becoming a serious problem for military and enterprises, resulting in huge losses in privacy and security. Data leakage prevention and forensics can be applied to protect significantly important data and against network crimes. Related fieldsinclude but not limit toinsider threatdetection, social behavior analysis, Trojan detection, information trapping and computer crime forensics. The aim of this workshop is to gather researchers and practitioners in related areasto discuss cutting-edge data leakage prevention and forensicssolutions. The topicsinclude, but not limited to:

    * Insider threats detection
    * Operating systems and database security
    * Security in cloud computing
    * Security in social networks
    * Privacy protection
    * Intelligent information filter
    * Users behavior patterns discovery
    * Web mining & security
    * Information trappingand honey pot
    * Security situation awareness
    * Network forensics and traffic analysis
    * Forensics of virtual and cloud environments
    * Insider forensics

    PC Members£º

    Jinqiao Shi, Institute of Information Engineering, Chinese Academy of Science, shijinqiao@iie.ac.cn.
    Fei Xu, Institute of Information Engineering, Chinese Academy of Science, xufei@iie.ac.cn;
    Haoliang Zhang, Institute of Information Engineering, Chinese Academy of Science, zhanghaoliang@iie.ac.cn .
    Qingfeng Tan, Institute of Information Engineering, Chinese Academy of Science, tanqingfen@iie.ac.cn .
    Lanlan Hu, Institute of Information Engineering, Chinese Academy of Science, hulanlan@iie.ac.cn .
    Xiao Wang, Institute of Computing Technology, Chinese Academy of Science, wangxiao@nelmail.iie.ac.cn .
    Yong Wang, University of Electronic Science and Technology of China, cla@uestc.edu.cn;
    WenyuZang, Institute of Information Engineering, Chinese Academy of Science,zangwenyu@nelmail.iie.ac.cn .
    Peng Wang, Institute of Information Engineering, Chinese Academy of Science,wangpeng@nelmail.iie.ac.cn .
    Jing Guo, Institute of Information Engineering, Chinese Academy of Science, guojing@nelmail.iie.ac.cn .
    Yanmin Shang, Institute of Information Engineering, Chinese Academy of Science, shangyanmin@nelmail.iie.ac.cn .
    ZhiQiao, Institute of Information Engineering, Chinese Academy of Science,qiaozhi@nelmail.iie.ac.cn .
    Yanan Cao, Institute of Information Engineering, Chinese Academy of Science, caoyanan@iie.ac.cn .

  • Workshop 09:Credit Risk Assessment and Management
    Workshop Chair:
    Zhou Zongfang( zzf1020@yahoo.com.cn)
    Yang Yang ( fwy0991@yahoo.cn)
    (University of Electronic Science and Technology of China, China)

    In this workshop, we will focus on but not limited to three main topics. First topic is dialectical relationship between the credit risk assessment techniques and credit risk itself. Second topic is new and frontier approach for credit assessment and management. And the third topic is how to reflect the heterogeneous characteristics of credit subjects by the assessment techniques. We hope to achieve two purposes through discussion of the three topics above. The first propose is to deeper our understanding for the essence of credit risk. And the second propose is to make our credit risk assessment techniques better reflect the heterogeneous characteristics of different credit subjects.

  • Workshop 10:Workshop on Communications and Security
    Chaired by Yixian Yang ( buptleimin@gmail.com,Beijing University of Posts and Telecommunications, China)

    The Workshop on Communications and Security (WCS) focuses on the state-of-the-art methodologies, high-level technologies, innovative applications and the latest research results in Communications and Security. Original, previously unpublished papers and research contributions are invited and submitted papers should not be currently under review for any other publication. The multiple topics of interest include, but are not limited to:
    Communications and Network:

    * Broad and wireless communications
    *Data compression and coding
    *Space time processing and MIMO Systems
    *Optical communications and photonics
    *Wireless Ad-Hoc and sensor networks
    *Blind source separation
    *Intelligent digital city
    *Optical network
    * Optical switching and network elements
    * Cognitive radio networks
    *Next-generation networking and Internet
    *Multimedia in wireless networks
    * Network topology control
    * Grid
    * Information and communication security
    * Computer Forensics and Incident Response
    * E-commerce security
    *Wireless network security
    *Intrusion detection
    * Digital signature
    * Information Hiding and Watermarking
    *Computer viruses and worms confrontation

  • Workshop 11: Agent-based Modeling for Socio-economic Systems
    Workshop Chair:
    Wei Zhang ( weiz@tju.edu.cn,Tianjin University, China)
    Renbin Xiao (rbxiao@163.com ,Huazhong University of Science and Technology)

    Socio-economic systems are the combination of various adaptive entities that employ the economic theory and method to study the social value. To understand the complex socio--economic problems, particularly with respect to the emergent phenomena resulted from individual interaction, advanced tools are imperatively required. Agent-based modeling, as a theoretical and methodological tool for simulating the actions and interactions of autonomous agents with a view to assessing their collective effect on the system, has seen a variety of applications in recent years, including economics, management science, computer science, psychology, sociology, etc., which helps developing a better understanding of their problem domains and making better decisions. Workshop aims at providing a unique platform of communication for agent-based modeling applications to study the complex socio-economic problems. It intends to bringing researchers and practitioners to present the latest findings of various researches, to discuss the modeling techniques, and to promote the cross-fertilization of ideas. The focus of this session/workshop is especially on simulating heterogeneous interacting behavior to gain insight into emergent phenomena and collective behaviors. The workshop topics will cover research in all areas relating to agent-based modeling either theoretical or empirical. Topics comprise, but are not limited to:

    * Agent-based computational finance
    * Agent-based modeling and simulation
    *Evolutionary game theory
    *Emergent macroeconomics
    * Market microstructure
    * Socio-economic networks
    * Urban complex adaptive systems
    * Environmental modeling
    * Green technologies
    *Crisis modeling and simulation
    *Information diffusion

  • Workshop 12:Optimization-based Data Mining
    Workshop Chair:
    Yingjie Tian( tianyingjie1213@163.com)
    Yong Shi( yshi@unomaha.edu)
    Zhiquan Qi( qizhiquan@gucas.ac.cn)
    (Chinese Academy of Sciences Research Center on Fictitious Economy and Data Science, China)

    For last several years, the researchers have extensively applied quadratic programming into classification, known as V. Vapnik's Support Vector Machine, as well as various applications. However, using optimization techniques to deal with data separation and data analysis goes back to more than thirty years ago. According to O. L. Mangasarian, his group has formulated linear programming as a large margin classifier in 1960's. In 1970's, A. Charnes and W.W. Cooper initiated Data Envelopment Analysis where a fractional programming is used to evaluate decision making units, which is economic representative data in a given training dataset. From 1980's to 1990's, F. Glover proposed a number of linear programming models to solve discriminant problems with a small sample size of data. Then, since 1998, the organizer and his colleagues extended such a research idea into classification via multiple criteria linear programming (MCLP) and multiple criteria quadratic programming (MQLP), which differs from statistics, decision tree induction, and neural networks. So far, there are more than 100 scholars around the world have been actively working on the field of using optimization techniques to handle data mining and web intelligence problems. This workshop intends to promote the research interests in the connection of optimization, data mining and web intelligence as well as real-life applications.

  • Workshop 13:Decision Procedures in Data Analysis
    Chaired by Fuad Aleskerov ( fa201204@gmail.com,National Research University Higher School of Economics, Russian Academy of Sciences, Moscow, Russia)

    One of the important parts of the problem of quantitative management is the problem of decision procedures used. It has several dimensions:
    *which alternatives will be chosen and what are their properties,
    *what is the complexity of choosing these best alternatives,
    *how should we prepare an information to make the process of choice more accurate?

    These problems, their theoretical basis, and their application in several fields of decision making such as finance and risk management, search problems, efficiency of universities, maritime finance will be the subject of the workshop. This workshop will have the following sessions:
    Section 1. Procedures
    Co-Chairs: Fuad Aleskerov (National Research University Higher School of Economics, Russian Academy of Sciences, Moscow, Russia) and Boris Mirkin (National Research University Higher School of Economics, Moscow, Russia )
    Session 1.1. Aggregation Procedures
    Chair: Fuad Aleskerov (National Research University Higher School of Economics, Russian Academy of Sciences, Moscow, Russia)
    Session 1.2. Game-Theoretic Foundations
    Co-Chairs: Victoria Kreps (Saint Petersburg Central Economic-Mathematical Institute, Russia)
    Session 1.3. Clustering
    Co-Chairs: Boris Mirkin (National Research University Higher School of Economics, Moscow, Russia)
    Section 2. Applications
    Session 1.1. Data Analysis in Financial and Risk Management
    Chair: Aleksey Lobanov (Bank of Russia, Moscow, Russia)
    Session 1.2. Search Problems
    Co-Chairs: Michel Grabisch (University Paris I, France)
    Session 1.3. Information Technologies and Data Mining in Maritime Finance
    Co-Chairs: Andreas Merikas (University of Pirey, Greece)
    Session 1.4. Efficiency of Universities
    Co-Chairs: Kirill Zinkovskiy (National Research University Higher School of Economics, Moscow, Russia)

  • Workshop 14:On Supporting Informed Decision-Making in Real-Time: Where Environmental Sensing Meets the Data Analytics
    Chaired by Paulo de Souza ( Paulo.deSouza@utas.edu.au,University of Tasmania, Australia)

    A number of businesses are touched by environmental changes. Such economical activities include farming, forestry, aquaculture, tourism, energy generation and distribution, logistics, and insurance. Environmental factors have also an impact on public health such as those evidenced by epidemiological studies. Human behaviour is as well influenced by environmental conditions; for example, recreation choices are different from rainy to sunny days. This workshop is designed to discuss the key science questions arising from initiatives such as building correlation between environmental sensing data, business operations and social behaviour. This would include issues related to big data, data streaming, web mining, decision analysis, quality assurance and quality control, data re-purposing, risk management, visualisation, interoperability, provenance, open-data policies, to mention some. And more importantly, what it takes to design, implement and maintain a sustainable infrastructure to support informed decision-making in Real-Time. The workshop is aiming at being an attractive forum for deep technical discussions about key aspects of this research area. Invite speakers from leading global companies and international research groups and organizations will be invited.

  • Workshop 15:Next-Generation Network and its Applications
    Workshop Chair:
    Guimin Huang ( submitapaper@126.com ,Guilin University of Electronic Technology, China)
    Guoyong Cai (Guilin University of Electronic Technology, China)
    Xiaolan Xie (Guilin University of Technology)
    Xiaojian Li (Guangxi Normal University, China)
    Xiangzong Zhao (Guilin University of Electronic Technology, China)

    Current networks use a wide range of technologies-wireless and wired to support a series of applications. However, as overall demands continue to grow, there is a continual need to improve networking architectures and its applications. In particular, some of the key challenges relate to improve network efficiencies as well as scalabilities, multi-technology integration, and the design of new value-added networking services. The workshop aims to provide a platform for researchers to share and exchange their original results, new concepts, ideas, principles, and methodologies on next-generation networks and its services. It will bring together researchers in various disciplines to uncover some of the important trends and evolutions in next-generation Internet architectures and its services. For this reason, the workshop is requesting submissions on all topics relevant to Next-Generation Network and Its Applications, but not restricted to:

    * Next Internet architecture
    * Switch and router architectures, performance, control, buffer management, packet scheduling
    * Traffic identification and application-oriented networks
    * Greening Networks and green computing
    * Cloud computing and service computing
    * Networking security and its mechanism
    * Network and service survivability, network resilience
    * Next-generation access networks
    * Social network and its services
    * Data Mining and text mining
    * Recommendation algorithms and auction trading methods
    * Data mining and its visualization
    * Text mining and text understanding
    * Collective intelligence based on Web technologies
    * Mobile network and location aware computing
    * E-commerce and business intelligence based on Web technologies
    * Wireless Internet and its services
    * Multi-layer and multi-domain networks
    * Internet applications including interactive media, voice, video, gaming, immersion
    * Overlay networks and Peer-to-Peer networks and its applications
    * Architectures and topologies in overlay networks
    * Web service-based P2P computing
    * Service pricing model, Internet economics, accounting or billing, growth modeling
    * Content-based networking, caching, distribution, load balancing
    * Wireless content distribution, self-organization
    * VoIP protocols and services, packet video
    * Mechanisms for self-organization and autonomous networking
    * Traffic measurement, management, analysis, modeling, and visualization
    * Emerging and future Internet technologies

  • Workshop 16:Intelligent Decision Making and Extenics based Innovation
    Chaired by Xingsen Li( lixingsen@126.com ), Haolan Zhang, Bin Shen and Yanbin Liu (NIT, Zhejiang University, China)

    With the rapid development of information technology, knowledge acquisition through data mining becomes one of the most important directions of scientific decision-making; however, Utilizing computer and Internet to solve contradictory problems and carry out exploration and innovation is still an ideal for human beings. Extenics is a new inter-discipline of mathematics, information, philosophy and engineering including Extension theory, extension innovation methods and extension engineering. It is dedicated to exploring the theory and methods of solving contradictory problems uses formalized models to explore the possibility of extension and transformation of things and solve contradictory problems intelligently. The intelligent methods aim to provide targeted decision-making on the transformation of the practice which is facing the challenges of data explosion. Artificial intelligence and intelligent systems offer efficient mechanisms that can significantly improve decision-making quality. Through ITQM, participants can further discuss the state-of-art technology in the Intelligent Decision Making and Extenics based Innovation field as well as the problems or issues occurred during their research. The topics and areas include, but not limited to:

    * Intelligent Information Management and Problem Solving
    * Knowledge Mining on E-business
    * Intelligent Systems and its Applications
    *Intelligent Logistics Management and Web of Things
    * Web Marketing and CRM
    * Intelligent Data Analysis and Financial Management
    * Intelligent technology and Tourism Management
    * Innovation theory and Methods
    * Extenics based Applications
    *Extension data mining and its Applications
    * Web Intelligence and Innovation
    * Knowledge based Systems and decision-making theory

  • Workshop 17:The First Workshop on Quantitative Finance (QF2013)
    Workshop Chair:
    Xianhua Wei ( weixh@ucas.ac.cn,University of Chinese Academy of Sciences, China)
    Gongmeng Chen ( cgm@sjtu.edu.cn,Shanghai Jiaotong University, China)
    Chongfeng Wu ( cfwu@sjtu.edu.cn,Shanghai Jiaotong University, China)
    Wenfeng Wu ( wfwu@sjtu.edu.cn,Shanghai Jiaotong University, China)

    Since Markowitz's portfolio selection theory in 1950s, statistics and mathematics have been applied in finance and investment management. Lots of empirical studies showed that historical data analysis using proper mathematical models helped to test financial and economical theory, and improve investment performance in practice as well. Since the appearance of Black-Scholes model for pricing option, mathematics, information technology and finance have tended to infuse. The nature of complexity of financial instruments requires more sophisticated mathematical models and computer tools to extract information about risk and return from noisy data. Quantitative finance is a cross-disciplinary field relies on mathematical finance, intelligent methods and computer simulations to make trading, hedging and investment decisions, as well as facilitating the risk management of those decisions.

    This special workshop tends to promote the research interests both in academic community and industrial community in the connection of (i) mathematics and statistics, (ii) information technology, (iii) finance and economics. The expected full-day workshop is divided into two sessions: morning session for academic papers presentation and afternoon session for industrial practices exchange and discussion. Estimated number of participants: 50 in total including about 25 from academic community and 25 from industrial community.

    Morning session

    The workshop calls for papers to the researchers and professors from universities and academic institutions in the above interface fields for their participation in the conference. The workshop welcomes both high-quality academic papers (theoretical or empirical) in the broad ranges of quantitative finance related topics including, but not limited to the following:


    * Asset Pricing Theory
    * Portfolio Selection Theory
    * General Equilibrium Theory
    * Rational Expectation Theory
    * Term Structure Theory
    * Arbitrage Theory
    * Hedging and Trading Theory
    * Insurance and Actuarial Theory

    * Portfolio Optimization
    *Asset Pricing and Valuation
    * Financial Time Series Forecasting
    * Credit Risk Modeling
    * Interest/Exchange Rates Determination
    * Financial Derivatives Pricing and Trading
    * Basel III, Solvency II and Risk Management
    * Emerging Markets Issues
    * Extreme Events and Volatility Modeling
    * Financial and Econometrics Modeling

    The workshop will accept 6-8 regular papers, and they will be presented at the workshop. Some good papers can also be accepted as posters.

    Afternoon session

    The special workshop provides a platform for exchanging thoughts, methods and models in portfolio management and security investments practices for the whole quantitative investment community. And the workshop plans to keep it as a rule for hosting a get-together for the whole community each year.

    The workshop will invite those senior quantitative analysts, portfolio managers and fund managers from famous securities companies, fund management companies and asset management companies for their participation at the conference. The participants will discuss the development of quantitative asset management, share experience and lessons of their own practices, and also work on the solutions to domestic application problem of quantitative finance. The afternoon session will be arranged as a forum. 2-3 invited speakers will give their keynote speeches (to be decided) focusing on quantitative asset management. Free discussion follows after afternoon tea break.

  • Workshop 18:Decision Making Models Incorporating Psychological or Behavioral Aspects
    Chair by Moussa Larbani ( larbani61@hotmail.com,International Islamic University Malaysia, Malaysia)

    The underlying principles of early decision making models (at individual or organizational levels) are rationality and "optimization". Herbert Simon challenged these two principles in his seminal works by putting forward the principles of bounded rationality and satisfycing. Later March, Tversky and Kahneman and many other scholars consolidated Herbert Simon's views. There is extensive literature showing that successful decision making models including their implementation part should incorporate psychological or behavioral aspect of the decision making process (at individual or organizational levels).

    We invite high quality research papers, comprehensive case studies, and state-of-the-art survey articles dealing with decision making problems involving psychological or behavioral aspects (at individual or organizational levels). Application areas may include, but are not limited to: management, human resource, conflict resolution, manufacturing, healthcare, environment, transportation, supply chain, and marketing. The contribution may be theoretical and/or application oriented.

  • Workshop 19:Innovative Teaching and Learning in Information Technology Quantitative Management
    Chair by Leah R. Pietron (University of Nebraska at Omaha) ( lpietron@unomaha.edu)

    With such complex topics, it is important to discuss how successful teaching and learning techniques are used in the classroom. Our classroom room can have many locations: live, virtual or online (asynchronous, synchronous, and blended). With each of these locations, methods and techniques are used to convey the meaning of information technology quantitate management.

    This track focuses on sharing those methods and techniques and how to improve teaching and learning. Each of these papers should have a good literature background supporting the instructional technique. Also, success and failures of these methods can be discussed as lessons learned, too.

    Topics may include: instructional techniques, methods of delivery ITQM, virtual labs, innovative education, use of technology and teaching, asynchronous, synchronous, and blending delivery and approaches, etc.

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