REU Site: DIMACS REU in Algorithms from Foundations to Applications
REU 网站:DIMACS REU 算法从基础到应用
基本信息
- 批准号:2150186
- 负责人:
- 金额:$ 43.44万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-03-01 至 2025-02-28
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
This project builds on the long-running Research Experiences for Undergraduates (REU) program at DIMACS, the Center for Discrete Mathematics and Theoretical Computer Science at Rutgers, the State University of New Jersey. The program provides a rich scientific and cultural experience to ten outstanding undergraduates each year mentored by faculty from several Rutgers departments and DIMACS industrial partners. The scientific goals of the project are mainly focused on algorithms and complexity, emphasizing the traditional strengths of DIMACS in theoretical computer science, applied in settings that include social networks, DNA analysis, prediction markets, and others. Student research spans both theory and applications showcasing algorithms in big data analytics, privacy and cybersecurity, bioinformatics, machine learning, and analysis of algorithms for streaming and privacy. In addition to involving mentors from different areas and even different disciplines, the program integrates activities with nearby industry partners, it recruits graduate students who act as assistant mentors, and combines with other Rutgers undergraduate research programs to add cultural diversity and an international element, through partnership with the European-funded CoSP program which is led by the Department of Applied Mathematics in Charles University, Prague.The program immerses students in a unique multidisciplinary environment for conducting research on the design, analysis, and use of algorithms. A carefully planned schedule offers students a rich research experience that combines one-to-one mentoring with seminars, workshops, field trips, and other activities for a broad and enriching scientific experience. The program makes a special effort to recruit members of groups underrepresented in computer science as well as students from institutions with limited opportunity for undergraduate research, through contacts with minority-serving institutions and announcements to relevant mailing lists and websites. In addition to leading to scientific papers and talks, new collaborations are developed with mentors, graduate student assistant mentors and program coordinators. Involving graduate student assistant mentors and postdocs develops the mentoring skills of junior researchers, while offering the REU participants the ability to directly observe graduate student life. An important goal of this program is to build awareness of graduate school and the breadth of options for post-graduate careers and research. In this way, the program informs the students on choices about further education and future careers, and gives them the foundation and confidence to pursue these choices.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.
这个项目建立在DIMACS的长期本科生研究经验(REU)项目的基础上,DIMACS是新泽西州罗格斯州立大学离散数学和理论计算机科学中心。该项目每年为10名优秀本科生提供丰富的科学和文化体验,这些本科生由来自罗格斯大学几个系和DIMACS工业合作伙伴的教师指导。该项目的科学目标主要集中在算法和复杂性上,强调DIMACS在理论计算机科学中的传统优势,并将其应用于包括社交网络、DNA分析、预测市场等环境中。学生的研究涵盖了理论和应用,展示了大数据分析、隐私和网络安全、生物信息学、机器学习以及流媒体和隐私算法分析方面的算法。除了聘请来自不同领域甚至不同学科的导师外,该项目还与附近的行业合作伙伴整合活动,招募研究生担任助理导师,并通过与布拉格查尔斯大学应用数学系领导的欧洲资助的CoSP项目合作,与罗格斯大学的其他本科生研究项目相结合,增加文化多样性和国际元素。该计划让学生沉浸在一个独特的多学科环境中,进行算法设计,分析和使用的研究。精心规划的时间表为学生提供了丰富的研究经验,将一对一的指导与研讨会、讲习班、实地考察和其他活动相结合,以获得广泛而丰富的科学经验。该项目通过与少数族裔服务机构联系,并在相关邮件列表和网站上发布公告,特别努力招募计算机科学领域代表性不足的群体的成员,以及来自本科生研究机会有限的机构的学生。除了导致科学论文和演讲,新的合作发展与导师,研究生助理导师和项目协调员。研究生助理导师和博士后参与培养了初级研究人员的指导技能,同时为REU参与者提供了直接观察研究生生活的能力。这个项目的一个重要目标是建立对研究生院的认识,以及研究生职业和研究的选择广度。通过这种方式,该计划告知学生关于继续教育和未来职业的选择,并给他们追求这些选择的基础和信心。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识价值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
期刊论文数量(10)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
On Steiner Trees of the Regular Simplex
- DOI:10.48550/arxiv.2312.01252
- 发表时间:2023-12
- 期刊:
- 影响因子:0
- 作者:Henry Fleischmann;Q. GuillermoA.Gamboa;S. KarthikC.;Josef Matejka;Jakub Petr
- 通讯作者:Henry Fleischmann;Q. GuillermoA.Gamboa;S. KarthikC.;Josef Matejka;Jakub Petr
Explicit equations of the fake projective plane (a=7,p=2,∅,D3X7)
伪射影平面的显式方程 (a=7,p=2,−,D3X7)
- DOI:
- 发表时间:2023
- 期刊:
- 影响因子:0
- 作者:Borisov, L.;Ji, M.;Li, Y.
- 通讯作者:Li, Y.
Fine-Grained Buy-Many Mechanisms Are Not Much Better Than Bundling
细粒度的多买机制并不比捆绑好多少
- DOI:
- 发表时间:2022
- 期刊:
- 影响因子:0
- 作者:Assadi, Sepehr;Kher, Vikram;Li, George;Schvartzman, Ariel
- 通讯作者:Schvartzman, Ariel
Robustness for Space-Bounded Statistical Zero Knowledge, Eric Allender, Jacob Gray, Saachi Mutreja, Harsha Tirumala, and Pengxiang Wang, ECCC Report TR22-138 (2022).
空间有限统计零知识的鲁棒性,Eric Allender、Jacob Gray、Saachi Mutreja、Harsha Tirumala 和 Pengshan Wang,ECCC 报告 TR22-138 (2022)。
- DOI:
- 发表时间:2022
- 期刊:
- 影响因子:0
- 作者:Allender, Eric;Gray, Jacob;Mutreja, Saachi;Tirumala, Harsha;Wang, Pengxiang
- 通讯作者:Wang, Pengxiang
On Computing Makespan-Optimal Solutions for Generalized Sliding-Tile Puzzles
计算广义滑动瓷砖谜题的 Makespan 最优解
- DOI:
- 发表时间:2023
- 期刊:
- 影响因子:0
- 作者:Gozon, M.;Yu, J.
- 通讯作者:Yu, J.
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{{ truncateString('Lazaros Gallos', 18)}}的其他基金
RAPID:NSF-BSF: Analysis of the spreading patterns and the efficiency of quarantine measures for COVID-19, based on available world-wide spatio-temporal data
RAPID:NSF-BSF:根据可用的全球时空数据,分析 COVID-19 的传播模式和检疫措施的效率
- 批准号:
2035297 - 财政年份:2020
- 资助金额:
$ 43.44万 - 项目类别:
Standard Grant
REU Site: DIMACS REU in Algorithms from Foundations to Applications
REU 网站:DIMACS REU 算法从基础到应用
- 批准号:
1852215 - 财政年份:2019
- 资助金额:
$ 43.44万 - 项目类别:
Standard Grant
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