REU Site: Intelligent and Scalable Systems

REU 站点：智能且可扩展的系统

• 批准号: 1757787
• 负责人: Brian Davison
• 金额: $ 36万
• 依托单位: Lehigh University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-05-01 至 2022-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1757787&HistoricalAwards=false
• 关键词: REU; Site; Intelligent; Scalable; Systems

The Intelligent and Scalable Systems Research Experiences for Undergraduates (REU) site provides an inspirational and successful research experience for 10 undergraduate students over a 10 week period at Lehigh University. Over the summer, participants learn how to harness the incredible potential of machine learning, and the unprecedented power of modern parallel compute resources, to invent new systems and algorithms that are infused with intelligence and hence capable of solving pressing societal problems. The proposed REU Site employs a multifaceted recruiting strategy, with a focus on encouraging women, underrepresented, and minority students to participate; a special focus will be placed on recruiting from institutions that lack undergraduate research opportunities. Students will also benefit from a program of seminars and tutorials designed to ensure that they are ready to collaborate, knowledgeable about the key concepts and technologies in modern intelligent and scalable systems, and inspired to pursue both further education and life-long careers in Computer Science.The objective of this ten-week summer research experience is to increase the number and diversity of students pursuing graduate degrees in computer science, around the timely theme of intelligent and scalable systems. This REU Site will facilitate research into fundamental topics in both machine learning and scalable computer systems, such as new algorithms for machine learning, new approaches to privacy preservation, and new techniques for increasing the performance of parallel programs. It will also support application-focused research, with an emphasis on creating solutions to hard problems in both research and society. Through seminars and faculty-supervised collaborative projects, participants will learn about the research process, hone their software development skills, improve their comfort with technical communication, become knowledgeable about graduate school and its application process, and ultimately develop greater confidence in their ability to succeed in a Science/Technology/Engineering/Math career.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.

面向本科生的智能和可扩展系统研究体验(REU)网站为利哈伊大学的10名本科生提供了为期10周的励志和成功的研究体验。整个夏天，参与者将学习如何利用机器学习令人难以置信的潜力，以及现代并行计算资源前所未有的力量，发明充满智能的新系统和算法，从而能够解决紧迫的社会问题。拟议的REU网站采用了多方面的招聘战略，重点是鼓励女性、代表性不足的学生和少数族裔学生参与；特别关注从缺乏本科生研究机会的机构招聘。学生还将受益于一系列研讨会和教程，旨在确保他们准备好合作，了解现代智能和可扩展系统中的关键概念和技术，并激励他们在计算机科学方面继续深造和终身职业生涯。这项为期十周的暑期研究体验的目标是围绕智能和可扩展系统这一及时的主题，增加攻读计算机科学研究生学位的人数和多样性。这个REU站点将促进对机器学习和可伸缩计算机系统中的基本主题的研究，例如机器学习的新算法、隐私保护的新方法以及提高并行程序性能的新技术。它还将支持以应用为重点的研究，重点是为研究和社会中的难题创造解决方案。通过研讨会和教师监督的协作项目，参与者将了解研究过程，磨练他们的软件开发技能，提高他们对技术交流的舒适性，了解研究生院及其申请过程，并最终增强对他们在科学/技术/工程/数学事业中取得成功的能力的信心。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。

项目成果

Scoring Integrated Meaningful Play in Story-Driven Games with Q-Learning

使用 Q-Learning 在故事驱动游戏中进行有意义的综合游戏评分

• 发表时间: 2020
• 期刊: CEUR workshop proceedings
• 作者: Bettis, Alan;Newberry, Danielle;Munoz-Avila, Hector
• 通讯作者: Munoz-Avila, Hector

Certification and Trade-off of Multiple Fairness Criteria in Graph-based Spam Detection

• DOI: 10.1145/3459637.3482325
• 发表时间: 2021-10
• 期刊: Proceedings of the 30th ACM International Conference on Information & Knowledge Management
• 作者: Kai Burkholder;Kenny Kwock;Yuesheng Xu;Jiaxin Liu;Chao Chen;Sihong Xie

Active Search using Meta-Bandits

• DOI: 10.1145/3340531.3417409
• 发表时间: 2020-10
• 期刊: Proceedings of the 29th ACM International Conference on Information & Knowledge Management
• 作者: Shengli Zhu;Jakob Coles;Sihong Xie

Real-Time Operating Systems for Cyber-Physical Systems: Current Status and Future Research

网络物理系统的实时操作系统：现状和未来研究

• DOI: 10.1109/ithings-greencom-cpscom-smartdata-cybermatics50389.2020.00080
• 发表时间: 2020
• 期刊: IEEE International Conference on Cyber Physical and Social Computing (CPSCom-2020
• 作者: Serino, Anthony;Cheng, Liang
• 通讯作者: Cheng, Liang

An Exploratory Interface for Dataset Repositories Using Cell-Centric Indexing

使用以单元为中心的索引的数据集存储库的探索性界面

• DOI: 10.1109/bigdata50022.2020.9378057
• 发表时间: 2020
• 期刊: IEEE International Conference on Big Data (IEEE BigData 2020
• 作者: Johnson, Drake;Register, Keith;Davison, Brian D.;Heflin, Jeff
• 通讯作者: Heflin, Jeff