REU Site: DIMACS REU in Algorithms from Foundations to Applications

该项目延续了新泽西州立大学罗格斯分校离散数学和理论计算机科学中心DIMACS的长期本科生研究经验（REU）计划。该课程让学生接触到广泛的计算机科学主题，强调从生物信息学到大数据等环境中应用的算法的理论和使用。该项目包括由罗格斯大学多个学科的教师领导的项目，包括研究生作为助理导师，并通过与布拉格DIMATIA中心的合作，与其他REU项目相结合，增加文化多样性和国际元素。该计划借鉴了DIMACS在理论计算机科学方面的传统优势，主要关注算法和复杂性。学生的研究涵盖了理论和应用，展示了包括大数据分析、隐私和网络安全、生物信息学和机器人在内的设置中的算法。大多数项目涉及算法基础，包括复杂性，机器学习，编码理论以及流媒体和隐私算法分析的项目。此外，该计划利用DIMACS作为跨学科中心的地位，让来自不同学术部门的导师为学生提供不同的观点和项目，这些项目的应用跨学科，以说明计算在各种环境中的力量。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。

This project continues 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 exposes students to a broad range of computer science topics emphasizing the theory and use of algorithms applied in contexts that range from bioinformatics to big data. The program includes projects led by Rutgers faculty from several disciplines, involves graduate students as assistant mentors, and combines with other REU programs that add cultural diversity and an international element through partnership with the DIMATIA center in Prague.The program draws on the traditional strengths of DIMACS in theoretical computer science, mainly focused on algorithms and complexity. Student research spans both theory and applications showcasing algorithms in settings that include, among others, big data analytics, privacy and cybersecurity, bioinformatics, and robotics. The majority of the projects address algorithmic foundations, including projects on complexity, machine learning, coding theory, and analysis of algorithms for streaming and privacy. Additionally, the program leverages DIMACS' position as an interdisciplinary center to involve mentors from various academic departments to offer students varied perspectives and projects whose applications cross disciplines to illustrate the power of computing in a variety of settings.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.