Conference on 'Imaging, Communications and Finance: Stochastic Modeling of Real-world Problems'

会议“成像，通信和金融：现实世界问题的随机建模”定于2011年6月24日至25日在哥伦比亚大学在纽约，纽约州。会议的目的是汇集来自不同研究领域和职业阶段的科学家，以确定和讨论数学科学有望在未来几年发挥重要作用的跨学科研究的关键新兴领域。会议参与者的多样性，其中包括来自数学，统计学，放射学，工程和金融领域的研究人员，将有助于加强数学科学与其他科学和工程学科之间的联系，以及建立研究人员和初级研究人员之间的联系。这将通过分享知识，确定特别重要的具体研究问题，并帮助促进个人和机构之间的新合作，从而在不同研究领域内和跨领域推进知识。统计和概率在各种跨学科研究领域发挥着越来越重要的作用，包括神经科学，遗传学，物理学，金融和工程学。本次会议的目标是关注一些重要的和新兴的跨学科研究领域，如成像，电信和金融。虽然各个主题领域是不同的，会议的一个统一的主题是使用概率，组合和统计分析模型中出现的问题，在真实的世界。会议将突出通过使用统计和概率已经做出的重要贡献，包括开发新的医学成像重建算法;风险分析和金融中的随机模型;以及分析来自社会，能源，交通，通信和计算机问题的复杂网络数据的方法。此外，会议将试图确定统计和概率在未来发挥重要作用的新问题，并帮助促进这些领域的研究人员与数学科学之间的合作。

The conference "Imaging, Communications and Finance: Stochastic Modeling of Real-world Problems" is scheduled to be held on June 24-25, 2011 at Columbia University in New York, NY. The purpose of the conference is to bring together scientists, from diverse research areas and career stages, in order to identify and discuss key emerging areas of interdisciplinary research where mathematical sciences promise to play an important role in the coming years. The diversity of the conference participants, which will include researchers from the fields of mathematics, statistics, radiology, engineering and finance, will help strengthen the connection between mathematical sciences and other science and engineering disciplines, as well as between established researchers and junior researchers in the start of their careers. This will have the effect of advancing knowledge both within and across different fields of research by sharing knowledge, identifying specific research problems of particular importance and helping to facilitate new collaborations between individuals and institutions.Statistics and probability play an increasingly important role in a variety of interdisciplinary research areas including neuroscience, genetics, physics, finance and engineering. The goal of this conference is to focus on a number of important and emerging interdisciplinary areas of research, such as imaging, telecommunications and finance. Though the individual topic areas are diverse, a unifying theme for the conference is the use of probabilistic, combinatorial, and statistical analysis of models for problems arising in the real world. The conference will highlight important contributions already made through the use of statistics and probability, including the development of new reconstruction algorithms for medical imaging; stochastic models in risk analysis and finance; and methods for analyzing complicated network data arising from social, energy, traffic, communication, and computer problems. In addition, the conference will attempt to identify emerging issues where statistics and probability promise to play an important role in the future and help facilitate collaborations between researchers in these areas and the mathematical sciences.