REU Site: Algorithm Design --- Theory and Engineering

REU网站：算法设计---理论与工程

• 批准号: 2349179
• 负责人: Sharma Thankachan
• 金额: $ 46.24万
• 依托单位: North Carolina State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-02-15 至 2027-01-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2349179&HistoricalAwards=false
• 关键词: REU; Site; Algorithm; Design; Theory

This REU site will enable a diverse group of undergraduates to participate in algorithms and theory research. The mentors are NC State University faculty members with relevant backgrounds, publication records, and a solid undergraduate mentoring history. Besides this, the participants will receive training (via workshops) on reading and analyzing a research paper, conducting a literature review, giving an oral presentation, etc. Finally, the participants will present their findings at an undergraduate research symposium at NC State University. These experiences will allow them to build critical computer science research capacity and the confidence to pursue advanced research, which might encourage them to do graduate studies in related areas. The site will ensure the participation of women and students from underrepresented minority groups and colleges/universities with limited research opportunities.The participants will work closely with mentors on ongoing research within various subfields such as computational geometry, randomized algorithms, data structures, quantum computing, bioinformatics, operational research, and machine learning theory. The nature of research varies from developing theoretical algorithms to experimental analysis of practical heuristics and implementation and engineering of software modules. Mentors will help the participants convert sufficiently strong results into a paper and the submission process to an appropriate peer-reviewed conference or workshop.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.

该 REU 网站将使不同的本科生群体能够参与算法和理论研究。导师是北卡罗来纳州立大学的教职人员，具有相关背景、出版记录和扎实的本科生指导历史。除此之外，参与者还将接受阅读和分析研究论文、进行文献综述、进行口头报告等方面的培训（通过研讨会）。最后，参与者将在北卡罗来纳州立大学的本科生研究研讨会上展示他们的发现。这些经验将使他们能够建立关键的计算机科学研究能力和追求高级研究的信心，这可能会鼓励他们在相关领域进行研究生学习。该网站将确保来自代表性不足的少数群体和研究机会有限的学院/大学的女性和学生的参与。参与者将与导师密切合作，在各个子领域进行正在进行的研究，例如计算几何、随机算法、数据结构、量子计算、生物信息学、运筹学和机器学习理论。研究的性质各不相同，从开发理论算法到实际启发式的实验分析以及软件模块的实现和工程。导师将帮助参与者将足够有力的成果转化为论文，并将其提交给适当的同行评审会议或研讨会。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查进行评估，被认为值得支持标准。