IF: Student Travel Support for the 2014 IEEE International Symposium on Information Theory

IF:2014 年 IEEE 国际信息论研讨会学生旅行支持

基本信息

项目摘要

The IEEE International Symposium on Information Theory (ISIT) is the largest annual conference of the information theory society, and has been held continuously since 1954. It covers a variety of topics related to the studies on information theory, including coding, communications and communications networks, complexity and cryptography, detection and estimation, learning, Shannon Theory, stochastic processes, and emerging applications of information theory. It is considered one of the premier IEEE conferences. ISIT is the primary meeting venue of the leading researchers in the field, many of whom are supported by grants from the National Science Foundation. It is the ideal venue for researchers to share their latest ideas and results, and to discuss the impact of these results on practical applications. It is also where the more application oriented researchers gain an appreciation for the key theoretical results in the field. The information theory field provides an excellent example of theoretical research working in close synergy with system design and applications. ISIT has also traditionally attracted a large number of students, comprising around 40 per cent of the participant population. ISIT is an excellent learning opportunity for students as well as a means to establish useful research collaborations for the future. Support for student in the US to travel to ISIT is crucial to ensuring a vibrant student participation.
IEEE International Symposium on Information Theory(ISIT)是信息理论学会最大的年度会议,自1954年以来一直举办。它涵盖了与信息理论研究相关的各种主题,包括编码,通信和通信网络,复杂性和密码学,检测和估计,学习,香农理论,随机过程和信息理论的新兴应用。它被认为是IEEE最重要的会议之一。ISIT是该领域领先研究人员的主要会议场所,其中许多人得到了美国国家科学基金会的赠款。它是研究人员分享他们的最新想法和成果,并讨论这些成果对实际应用的影响的理想场所。这也是更多面向应用的研究人员获得该领域的关键理论成果的地方。信息理论领域提供了一个理论研究与系统设计和应用密切协同的很好的例子。ISIT传统上也吸引了大量学生,约占参与者人口的40%。ISIT是学生的一个极好的学习机会,也是为未来建立有用的研究合作的一种手段。支持美国学生前往ISIT是确保学生积极参与的关键。

项目成果

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会议论文数量(0)
专利数量(0)

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Venugopal Veeravalli其他文献

Venugopal Veeravalli的其他文献

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{{ truncateString('Venugopal Veeravalli', 18)}}的其他基金

Collaborative Research: CIF: Medium: Emerging Directions in Robust Learning and Inference
协作研究:CIF:媒介:稳健学习和推理的新兴方向
  • 批准号:
    2106727
  • 财政年份:
    2021
  • 资助金额:
    $ 2万
  • 项目类别:
    Continuing Grant
Efficient Strategies for Pandemic Monitoring and Recovery
流行病监测和恢复的有效策略
  • 批准号:
    2033900
  • 财政年份:
    2020
  • 资助金额:
    $ 2万
  • 项目类别:
    Standard Grant
SpecEES: Collaborative Research: Energy Efficient Dynamic Spectrum Access in Uncoordinated Networks
SpecEES:协作研究:不协调网络中的节能动态频谱接入
  • 批准号:
    1730882
  • 财政年份:
    2017
  • 资助金额:
    $ 2万
  • 项目类别:
    Standard Grant
CIF: Small: Collaborative Research: Network Event Detection with Multistream Observations
CIF:小型:协作研究:通过多流观察进行网络事件检测
  • 批准号:
    1618658
  • 财政年份:
    2016
  • 资助金额:
    $ 2万
  • 项目类别:
    Standard Grant
CIF: Medium: Collaborative Research: Quickest Change Detection Techniques with Signal Processing Applications
CIF:媒介:协作研究:信号处理应用的最快变化检测技术
  • 批准号:
    1514245
  • 财政年份:
    2015
  • 资助金额:
    $ 2万
  • 项目类别:
    Continuing Grant
WiFiUS: Message and CSI Sharing for Cellular Interference Management with Backhaul Constraints
WiFiUS:用于具有回程约束的蜂窝干扰管理的消息和 CSI 共享
  • 批准号:
    1457168
  • 财政年份:
    2015
  • 资助金额:
    $ 2万
  • 项目类别:
    Standard Grant
Collaborative Research: ATD: Advanced Quickest Multidecision Change Detection-Classification Methods for Threat Assessment in Distributed Sensing Systems
合作研究:ATD:分布式传感系统中威胁评估的先进最快多决策变化检测分类方法
  • 批准号:
    1222498
  • 财政年份:
    2012
  • 资助金额:
    $ 2万
  • 项目类别:
    Continuing Grant
CIF: Large: Collaborative Research: Controlled Sensing, and Distributed Signal Processing and Decision Making in Networked Systems
CIF:大型:协作研究:网络系统中的受控传感、分布式信号处理和决策
  • 批准号:
    1111342
  • 财政年份:
    2011
  • 资助金额:
    $ 2万
  • 项目类别:
    Standard Grant
CIF:Medium:Collaborative Research: Understanding and Managing Interference in Communication Networks
CIF:中:协作研究:理解和管理通信网络中的干扰
  • 批准号:
    0904619
  • 财政年份:
    2009
  • 资助金额:
    $ 2万
  • 项目类别:
    Standard Grant
Collaborative Research: Optimal Changepoint Detection and Identification Algorithms with Applications
协作研究:最优变点检测和识别算法及其应用
  • 批准号:
    0830169
  • 财政年份:
    2008
  • 资助金额:
    $ 2万
  • 项目类别:
    Standard Grant

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