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Student Travel Support for the 2020 IEEE SGComm Conference. To be Held November, 11-13, 2020 at Arizona State University.

Student Travel Support for the 2020 IEEE SGComm Conference. To be Held November, 11-13, 2020 at Arizona State University.
2020 年 IEEE SGComm 会议的学生旅行支持。
批准号:
2024805
负责人:
Lalitha Sankar
金额:
$0.88万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-08-15 至 2022-07-31

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中文摘要
翻译
该提案请求支持学生参加2020年IEEE SmartGridCommunications Conference(SGComm 2020),该会议原定于2020年10月6日至9日在亚利桑那州坦佩举行,但由于新冠肺炎疫情,现在将改为2020年11月11日至13日举行的虚拟会议。SGComm 2020是IEEE通信学会公认的年度会议,已进入第11个年头,会议的重点是电网和能源系统中新出现的数据和信息处理挑战。会议为与会者提供了分享与能源系统的各种计算、通信、传感和信息处理方面相关的科学发现的机会。作为IEEE通信学会的一个重要会议,SGComm 2020今年的主题是“可持续电网的值得信赖的传感、通信、处理和分析”。会议将有一个全面的高质量的技术计划,包括关于通信和网络、网络安全和隐私、控制和运营、网格分析和计算的4个研讨会,以及专注于新出现的挑战和主题的教程和研讨会。此次活动将聚集研究电网各个方面的研究人员和从业者,包括传感、数据处理、计算、通信、数据分析和信息科学,这些都是当今确保电网可靠和有弹性运行的关键。最后,会议还包括由领先研究人员进行的两次主旨演讲和一次有业界和学术界领袖参加的小组讨论,讨论如何利用技术和数据科学来应对新十年的关键挑战:面对气候变化的电网弹性和可持续能源利用。这项提议要求大约25名在美国院校注册的学生(以及参加国际机构的美国公民)参加,方法是向会议提供注册费。这种参与将对美国机构的以电网为中心的研究和劳动力发展产生积极影响。它将有助于培养下一代工程专业人员,他们能够推动和确保计算、数据、安全和分析技术在电网中的集成,同时保持对可持续性、可靠性和弹性的关注。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
The proposal requests support for students to participate in the 2020 IEEE SmartGridCommunications Conference (SGComm 2020), which was originally to take place in Tempe, AZ, October 6--9, 2020, but because of the COVID-19 pandemic will now be a virtual conference taking place from Nov. 11-13, 2020. The SGComm 2020, in its eleventh year, is a well established annual conference of the IEEE Communications Society focused on emerging data and information processing challenges in the electric power grid and energy systems. The conference offers opportunities to its participants for sharing of scientific discoveries related to various computing, communications, sensing, and information processing aspects of energy systems. SGComm 2020, a key conference of the IEEE Communications Society, has a theme this year entitled “Trustworthy Sensing, Communications, Processing and Analytics for a Sustainable Grid”. The conference will feature a comprehensive high-quality technical program including 4 symposia on Communications and Networking,Cyber Security and Privacy, Control and Operations, Grid Analytics and Computation as well as tutorials and workshops focused on emerging challenges and topics. The event will gather researchers and practitioners studying various aspects of the electric power grid including sensing, data processing, computing, communications, data analytics, and information sciences that are key today to ensure reliable and resilient grid operations. Finally, the conference also includes two keynote talks by leading researchers and a panel discussion, involving industry and academic leaders, on the ways to leverage technology and data science to address the key challenges for the new decade: grid resilience and sustainable energy use in the face of climate change. This proposal requests participation of about 25 students enrolled in US institutions (as well as US citizens attending international institutions) by providing registration fees to the conference. Such participation will have a positive impact on both grid-centric research in US institutions and workforce development. It will contribute to the preparation of the next cadre of engineering professionals who can advance and ensure integration of computing, data, security, and analytics technology in the electric grid while keeping the focus on sustainability, reliability, and resilience.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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Exploiting Physical and Dynamical Structures for Real-time Inference in Electric Power Systems
  • 批准号:
    2246658
  • 项目类别:
    Standard Grant
  • 资助金额:
    $36.0万
  • 财政年份:
    2023
  • 负责人:
    Lalitha Sankar
  • 依托单位:
Collaborative Research: SCH: Fair Federated Representation Learning for Breast Cancer Risk Scoring
  • 批准号:
    2205080
  • 项目类别:
    Standard Grant
  • 资助金额:
    $30.0万
  • 财政年份:
    2022
  • 负责人:
    Lalitha Sankar
  • 依托单位:
Unifying Information- and Optimization-Theoretic Approaches for Modeling and Training Generative Adversarial Networks
  • 批准号:
    2134256
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $110.0万
  • 财政年份:
    2021
  • 负责人:
    Lalitha Sankar
  • 依托单位:
RAPID: SaTC: FACT: Federated Analytics based Contact Tracing for COVID-19
  • 批准号:
    2031799
  • 项目类别:
    Standard Grant
  • 资助金额:
    $20.0万
  • 财政年份:
    2020
  • 负责人:
    Lalitha Sankar
  • 依托单位:
海外基金