CIS2016 - Workshop

Wuxi, China

The 12th International Conference on Computational Intelligence and Security

December 16-19, 2016

Workshop


1. Special Session on Artificial Intelligence in Astronomy

     [Download the PDF Call for Papers]

     [Download the workshop program]

     Theme:

   Astronomy, which is already at the forefront of Big Data science with exponentially growing data volumes and data rates, is now entering the petascale or even terascale regime at optical, infrared and radio wavelengths. This fact necessitates a focus on automated and intelligential techniques and methodologies that can “understand” certain tasks in astronomy research and automatically mine large astronomical data sets for scientific discoveries. One way of performing such tasks is through the use of Artificial Intelligence (AI) technologies. Recently, deep neural networks have taken the world of artificial intelligence by storm. These AI machines now routinely outperform humans in tasks ranging from object recognition to playing the ancient game of Go. It is believed that AI is reinventing the study of modern astronomy. This is because of two separate factors. The first is the fact that large scale astronomical data have become available thanks to the advent of astronomical instruments and observation technology. The second includes improvements in software and hardware technologies, such as deep learning, one-shot learning and high performance computing. However, researchers including computer scientists, data scientists and astronomers have yet to communicate effectively across specialties, to assimilate their achievements, and to consult with cross-disciplinary experts.

   We therefore aim to provide AI-based innovative solutions for astronomy. Accordingly, this workshop aims to address the recent theoretical and practical developments, as well as the empirical studies, of Artificial Intelligence in Astronomy. We are seeking papers that present new research contributions on theories, models and algorithms, and applications of artificial intelligence in astronomy. 

     The Session topics include (but are not limited to) the following:

♦ Classification, regression and clustering for astronomical data
♦ Deep learning in astronomy
♦ Time series analysis and image processing in astronomy
♦ Visualization for astronomical data
♦ Anomaly detection in astronomy
♦ Bayesian Learning for gravitational wave data analysis
♦ Feature selection and feature learning for astronomical data
♦ Learning algorithms for astronomical data

Sessions Organizers:

      Prof. Ping Guo

         Image Processing and Pattern Recognition Laboratory, Beijing Normal University,

         

2. Special Session on Social Networks and Data Processing (SNDP) in conjunction

     The Session topics include (but are not limited to) the following:

♦ Agent Mining
♦ Agent-based Networks
♦ Artificial Intelligence
♦ Bioinformatics
♦ Extenics-based Theory
♦ Data mining and processing
♦ Data Security
♦ Decision Support Systems
♦ Cloud Computing in Data Mining
♦ Graph-based Data Analysis
♦ Image processing
♦ Knowledge Representation and Reasoning
♦ Multi-agent Systems
♦ Natural Language Processing
♦ Online Data Analysis
♦ Optimisation Algorithm
♦ Social Networks
♦ Social Network Security
♦ Workflow and capacity optimization

Sessions Organizers:

      Haolan Zhang

         NIT, Zhejiang University, Ningbo, China, Email: haolan.zhang@nit.zju.edu.cn

      Yun Xue

         South China Normal University, Guangzhou, China, Email: xueyun@scnu.edu.cn

      Xingsen Li

        NIT, Zhejiang University, Ningbo, China, Email: lixingsen@126.com

Program Committee:

Yiu-ming Cheung (Hong Kong Baptist University, Hong Kong)                    
                                http://www.comp.hkbu.edu.hk/~ymc/
Xinghuo Yu           (RMIT, Australia) http://www.set.rmit.edu.au/~xinghuo/
David Taniar         (Monash, Australia) http://users.monash.edu.au/~dtaniar/bio.html
Jinli Cao                (Latrobe University, Australia) http://homepage.cs.latrobe.edu.au/jcao/
Jiming Liu             (Hongkong Baptist University, Hong Kong)
Yanchun Zhang    (Victoria University, Australia)
Wenhua Zeng       (Xiamen University, China)

 

 

3. Special Session on Mathematical Modeling, Optimization, Theory and New Methods

     Theme:

   Mathematical modeling and optimization problems arising from engineering, management, art and sciences, and some interdisciplinary subjects such as mathematical economics, mathematical physics and biology, financial optimization, portfolio optimization, are becoming a hot research topic. This special session aims to discuss about how to set mathematical modeling, design optimization method for above mentioned problems and how to use these methods to practical problems, Also this special session is going to provide researchers a forum to demonstrate and exchange their recent progress on mathematical model, optimization theory and new methods.

     The Session topics include (but are not limited to) the following:

♦ Mathematical modeling from practical problems
♦ Optimization theory, method and application
♦ Nonlinear Dynamic Systems
♦ Optimal methods in big data
 

Sessions Organizers:

      Dr. Liping Jia

        School of Mathematics and Information Science,

        Leshan Normal University, Leshan, Sichuan, China.

      Prof. Tianfei Wang

        School of Mathematics and Information Science,

        Leshan Normal University, Leshan, Sichuan, China.

4. Special Session on Security and Safety in Network & Information System

     Theme:

   With the rapid development of information security, smart system and its applications, it is important to design methods, an apparatus, and a system for enhancing application reliability of a script-based service. The method includes: analyzing data source information of a script-based service; obtaining current state information of the data source of the script-based service according to the analysis result; and judging the availability state of the script-based service according to the obtained current state information. With the technical solution of the present invention, a related analysis function is added to a script-based service server to analyze related data source information in the script-based service logic and mark the script-based service. In this way, a user can know the state of the script-based service when requesting a service, thus avoiding unnecessary service trials, saving system resources, and improving the user experience.

  This international workshop aims to identify and explore the different issues and challenges related to system reliability, smart system and application in network & information system. Such as, what are the benefits or inconvenience of mobility on security? What are the appropriate mobility models to have a good level of security? How can we build up trusted platforms and trustworthy systems for wireless and mobile networks? How can we authenticate users in open wireless networks? How can we build up security protocol for resource-limited devices? How can we build up a secure architecture for wireless and mobile networks? In addition, novel ideas and research works from end consumers’ perspective, such as privacy, trustworthiness and network survivability, will be embraced by the session.

     The Session topics include (but are not limited to) the following:

♦ Security Issues in Wireless & Mobile Networks
♦ Key Management in Wireless & Mobile Network
♦ Secure Multicasting/Broadcasting
♦ RFID Mutual Authentication
♦ Public-Key Crypto Algorithm
♦ Secret Sharing Scheme
♦ Security in Sensor Networks
♦ New Ideas about Information security, Smart System and Network security
♦ System reliability and application
♦ Software system reliability and safety
♦ Safety-critical system and its application
♦ Intelligent information processing
♦ Intelligent transportation system

Sessions Organizers:

      Dr. Xinhong Hei

         School of Computer Science and Engineering, Xi’an University of Technology, Xi’an, China, Email: heixinhng@xaut.edu.cn.

      Dr. Qingqi Pei

         State Key Laboratory of Integrated Service Network , Xidian University, Xi’an, China, Email: qqpei@mail.xidian.edu.cn

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