REU Site: Engineers for Exploration
REU 站点:勘探工程师
基本信息
- 批准号:2244123
- 负责人:
- 金额:$ 42万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2023
- 资助国家:美国
- 起止时间:2023-04-01 至 2026-03-31
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
Engineers for Exploration (E4E) is an experiential program where undergraduates perform computer systems research that addresses technology gaps in conservation, cultural heritage, and exploration. Research problems are framed by real-world, impactful applications, providing participants with a multidisciplinary research experience in topics related to embedded systems, remote sensing, digital signal processing, computer vision, machine learning, robotics, and data analytics. Participants have an impactful research project, a multi-tiered mentor network, and structured collaboration with researchers, scientists, and explorers. Faculty, scientists, and engineers mentor participants using state-of-the-art facilities to develop cutting-edge computer systems research. E4E seeks participants from all segments of society, specifically targeting community colleges, minority-serving institutions, and other universities whose students do not have opportunities to participate in graduate research. E4E REU Site will recruit community college students, helping them benefit most from the REU experience. Graduate and postdoctoral students will get trained to serve as research mentors, providing them with the experience needed for their future careers.The primary goal of this REU site is to expose undergraduate participants to computer systems research motivated by real-world applications. E4E REU Site projects develop innovative computer systems deployed worldwide by scientists and explorers. Collaborators include scientists at the San Diego Zoo Wildlife Alliance, the UCSD Scripps Institution of Oceanography, The Nature Conservancy, and the National Geographic Society. These projects target domains such as aerially monitoring mangrove coverage, wildlife species identification using acoustic sensors, and underwater 3D computer vision-based fish population monitoring. REU participants will conduct their research by interacting with faculty mentors, domain scientists, postdocs, and graduate students who serve as their mentoring team. E4E projects include developing machine learning algorithms to assess the effects of climate change on ecosystems, creating drone-based radio frequency localization systems to track endangered species, and building 3D capture systems to scan, visualize, and document archaeological sites.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.
勘探工程师(E4E)是一个体验计划,本科生在研究计算机系统研究中进行计算机系统研究,以解决保护,文化遗产和探索方面的技术差距。研究问题是由现实世界,有影响力的应用程序构成的,为参与者提供了与嵌入式系统,遥感,数字信号处理,计算机视觉,机器学习,机器人技术和数据分析有关的主题的多学科研究经验。参与者有一个有影响力的研究项目,一个多层的导师网络,以及与研究人员,科学家和探险家的结构合作。教师,科学家和工程师的导师参与者使用最先进的设施来开发尖端的计算机系统研究。 E4E寻求社会各个领域的参与者,特别是针对社区大学,少数族裔服务机构和其他学生没有机会参加研究生研究的大学。 E4E REU网站将招募社区大学生,帮助他们从REU体验中受益最大。研究生和博士后学生将接受培训以担任研究导师,为他们提供未来职业所需的经验。该REU网站的主要目标是使本科参与者将本科参与者暴露于由现实世界应用激励的计算机系统研究中。 E4E REU网站项目开发了科学家和探险家在全球部署的创新计算机系统。合作者包括圣地亚哥动物园野生动植物联盟的科学家,UCSD Scripps海洋学,自然保护协会和国家地理学会。这些项目针对的是诸如空中监测红树林覆盖范围,使用声学传感器的野生动植物物种鉴定以及水下3D基于计算机视觉的鱼类种群监测。 REU参与者将通过与担任指导团队的教师导师,领域科学家,博士后和研究生进行互动来进行研究。 E4E项目包括开发机器学习算法来评估气候变化对生态系统的影响,创建基于无人机的射频频率定位系统以追踪濒危物种,并构建3D捕获系统以扫描,可视化和记录考古站点。这一奖项反映了NSF的法规。使命,并被认为是通过基金会的知识分子优点和更广泛影响的审查标准通过评估值得支持的。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Ryan Kastner其他文献
TOP: Towards Open & Predictable Heterogeneous SoCs
顶部:走向开放
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Luca Valente;Francesco Restuccia;Davide Rossi;Ryan Kastner;Luca Benini - 通讯作者:
Luca Benini
Gate-Level Information Flow Tracking for Security Lattices
安全网格的门级信息流跟踪
- DOI:
10.1145/2676548 - 发表时间:
2014-11 - 期刊:
- 影响因子:1.4
- 作者:
Baolei Mao;Mohit Tiwari;Timothy Sherwood;Ryan Kastner - 通讯作者:
Ryan Kastner
FKeras: A Sensitivity Analysis Tool for Edge Neural Networks
FKeras:边缘神经网络的敏感性分析工具
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Olivia Weng;Andres Meza;Quinlan Bock;B. Hawks;Javier Campos;Nhan Tran;J. Duarte;Ryan Kastner - 通讯作者:
Ryan Kastner
Mangrove Ecosystem Detection using Mixed-Resolution Imagery with a Hybrid-Convolutional Neural Network
使用混合分辨率图像和混合卷积神经网络进行红树林生态系统检测
- DOI:
- 发表时间:
2020 - 期刊:
- 影响因子:0
- 作者:
Dillon Hicks;Ryan Kastner;C. Schurgers;Astrid Hsu;Octavio Aburto - 通讯作者:
Octavio Aburto
Behavioral Synthesis for Hardware Security
硬件安全的行为综合
- DOI:
10.1007/978-3-030-78841-4 - 发表时间:
2022 - 期刊:
- 影响因子:0
- 作者:
Srinivas Katkoori;Omkar Dokur;Rajeev Joshi;Kavya Lakshmi Kalyanam;Md Adnan Zaman;Ariful Islam;Nandeesha Veeranna;Benjamin Carrion Schafer;Rajat Pranesh Santikellur;Subhra Chakraborty;S. Bhunia;Hannah Badier;Jean;Philippe Coussy;Guy Gogniat;C. Pilato;D. Sciuto;Francesco Regazzoni;Siddharth Garg;Ramesh Karri;Anirban Sengupta;Mahendra Rathor;Matthew Lewandowski;Chen Liu;Chengmo Yang;Farhath Zareen;Robert Karam;S. T. C. Konigsmark;Wei Ren;Martin D. F. Wong;Deming Chen;Mike Borowczak;Ranga Vemuri;Steffen Peter;T. Givargis;Wei Hu;Armaiti Ardeshiricham;Lingjuan Wu;Ryan Kastner;Christian Pilato Politecnico;di Milano;Italy Milan;ST Micro;Singapore Singapore;S. Islam - 通讯作者:
S. Islam
Ryan Kastner的其他文献
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{{ truncateString('Ryan Kastner', 18)}}的其他基金
Collaborative Research: SaTC: CORE: Medium: Hardware Security Insights: Analyzing Hardware Designs to Understand and Assess Security Weaknesses and Vulnerabilities
协作研究:SaTC:核心:中:硬件安全见解:分析硬件设计以了解和评估安全弱点和漏洞
- 批准号:
2247755 - 财政年份:2023
- 资助金额:
$ 42万 - 项目类别:
Continuing Grant
Student Travel Support for the International Symposium on Hardware-Oriented Security and Trust (HOST)
面向硬件的安全与信任国际研讨会 (HOST) 的学生旅行支持
- 批准号:
1830895 - 财政年份:2018
- 资助金额:
$ 42万 - 项目类别:
Standard Grant
SaTC: STARSS: Small: Property Driven Hardware Security
SaTC:STARSS:小型:财产驱动的硬件安全
- 批准号:
1718586 - 财政年份:2017
- 资助金额:
$ 42万 - 项目类别:
Standard Grant
TWC: Medium: Collaborative: Computational Blinking - Computer Architecture Techniques for Mitigating Side Channels
TWC:媒介:协作:计算闪烁 - 用于缓解侧通道的计算机体系结构技术
- 批准号:
1563767 - 财政年份:2016
- 资助金额:
$ 42万 - 项目类别:
Continuing Grant
TWC: Small: Employing Information Theoretic Metrics to Quantify and Enhance the Security of Hardware Designs
TWC:小型:采用信息论指标来量化和增强硬件设计的安全性
- 批准号:
1527631 - 财政年份:2015
- 资助金额:
$ 42万 - 项目类别:
Standard Grant
I-Corps: Provable Hardware Design for Integrity and Security
I-Corps:可证明的硬件设计的完整性和安全性
- 批准号:
1339522 - 财政年份:2013
- 资助金额:
$ 42万 - 项目类别:
Standard Grant
SHF: Medium: Collaborative Research: Building Critical Systems with Verifiable Properties Using Gate Level Analysis
SHF:中:协作研究:使用门级分析构建具有可验证属性的关键系统
- 批准号:
1162177 - 财政年份:2012
- 资助金额:
$ 42万 - 项目类别:
Standard Grant
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