ICM 2014 Satellite Conference

Mathematical Foundation of Modern Data Sciences Computing, Logic, and Education July 27-Aug 1, 2014, Dalian, China

Address: History Museum of Dalian Maritime University
                 Innovation Park of Dalian University of Technology(A1101)

Hotels: Dalian Bayshore Hotel, Dalian Xin Peninsula Hotel

Code Chen
Approval Status FA
Organizer(s) Li Chen (Conference Chair, Univ. of the District of Columbia, USA), Jijun Liu (Southeast Univ., China), Bo Jiang (Dalian Maritime Univ., China),
Zhixun Su (Dalian Univ. of Technology, China), Binhai Zhu (Montana State University, USA)

Sponsors:
National Science Foundation of China
Dalian University of Technology
Southeast University
Dalian Maritime University

The purpose of this conference is to bring together mathematicians, computer scientists, and industry professionals to discuss the future of modern data sciences, which has recently been driven tremendously by BigData and cloud computing.

Participants will be encouraged to give one to two hour long talks on the topic of their expertise during the morning sessions. We will offer the afternoon session as a free discussion to find possible connections among special knowledge. Industry Professionals will then present possible future questions and problems in data science.

What is Data Science? Data contains science. It is much different from the angle of classical mathematics that uses mathematical models to fit the data. Today, we are supposed to find rules and properties in the data set, even among different data sets---the relationship of connectivity between data sets. The new research would be more likely to involve partial and incomplete connectivity. This is also a hot topic in the current research of social networks.

Previously developed technology such as numerical analysis, graph theory, uncertainty, and cellular automata, will play some role. However, it is more likely for developing new mathematics to be the key for scientists.

We will attempt to publish a chapter-book with the same title with Springer to enlarge the impacts. This conference will include researchers from classical mathematics, theorem proving, natural language processing, statistics, algorithm design, data base, networking, graph theory, analysis, finance, management, etc.

Steering Committee:
Shi-Quian Wang, Beijing Normal University, China Reinhard Klette, Auckland University, New Zealand Steve Krantz, Wahington University, USA Shumuel Weinberger, University of Chicago, USA Hanan Samet, Department of Computer Science, Univ. of Maryland, USA

Organizing Committee:
Zhixun Su, Chair, Dalian University of Technology Bo Jiang, Local Chair, Co-Chair, Dalian Maritime University, China Jijun Liu, Co-Chair, Southeast University, China Binhai Zhu, Co-Chair, Local Co-Chair, Montana State University, USA.
Li Chen, University of the District of Columbia, USA

Scientific Committee:
Reneta Barneva, SUNY Fredonia, USA
Chia-Yen Chen, National University of Kaohsiung Li Chen, University of the District of Columbia, USA Zhixiang Chen, University of Texas,PM, USA Jean-François Dufourd, Strasbourg University, France Feng Luo, Rutgers University, USA Zhongxuan Luo, Dalian University of Technology, China Bo Jiang, Dalian Maritime University, China Sean Li, Wireless glue network, USA Zhouchen Lin, Peking University, China Jijun Liu, Southeast University, China Mariano Rivera-Meraz, CIMAT, Mexico Zhixun Su, Dalian University of Technology Haiyan Wang, Southeast University, China Binhai Zhu, Montana State University, USA.

Secretariats of the Conference:
Risheng Liu, Dalian University of Technology Junjie Cao, Dalian University of Technology Shengfa Wang, Dalian University of Technology

Invited Speakers:
Wen Gao (Peking University), Online Visual Search in Big Multimedia Data Reinhard Klette (Auckland Univ., New Zealand), Progress and Challenges in Vision-based Driver Assistant Systems

Plenary Speakers:
Zhongxuan Luo (Dalian University of Technology), Computational Geometry and Data Processing Feng Luo (Rutgers University, USA) A Discrete Uniformization Theorem for Polyhedral Surfaces Xianfeng Gu (State University of New York at Stony Brook, USA) A Discrete Uniformization Theorem Bo Yu (Dalian University of Technology) The Polynomial Homotopy Method for Sparse Interpolation Problems Haiyan Wang (Southeast University, China) Positivity-preserving Rational Cubic Interpolation Algorithm Based on Market Data Li Chen (University of the District of Columbia, USA) Topological Analysis for Data Science and Big Data Binhai Zhu (Montana State University, USA) Kernelization for Large Datasets Xianping Fu (Dalian Maritime University, China) A 3D Driver Head Pose Estimation Method Based on Depth Image Bo Jiang (Dalian Maritime University, China) Fast Algorithm for Touring a Sequence of Convex of Polygon and Related Problems Lizhuang Ma (Shanghai Jiao Tong University) Intelligent Processing and Applications for Big Data of Visual Media---- with recent progress Jian Sun (Tsinghua University, China) Laplace Operator on Point Cloud Wei Wu (Dalian University of Technology, China) Design and Analysis of Constructional Sparsification of Feedforward Neural Networks Tian Liu (Peking University,China) Special Bipartite Graphs and Their Algorithms Ke Chen (University of Liverpool, UK) Variational Models for Selective Segmentation of Images

Tutorial Sessions:
Binhai Zhu (Montana State University, USA) An Introduction to Geometric Approximation Algorithms
Tian Liu (Peking University) Random Constraint Satisfaction Problems and
Structural Parameters
Reinhard Klette (University of Auckland, New Zealand) Concise Computer Vision

Youths Sessions:
Lei Du, Simultaneous Band Reduction for Two Dense Symmetric Matrices with Applications Bo Dong, Homotopy Methods for Solving Mixed Trigonometric Polynomial Systems Junjie Cao, Structure Guided Low-Rank Representation for Computer Graphics Risheng Liu, Latent Subspace Projection Pursuit with Online Optimization for Robust Visual Tracking Junjie Cao Chao Zhang, Brief Note on Statistical Learning Theory Jinshan Pan, Deblurring Text Images via L0-Regularized Intensity and Gradient Prior