REU SITE: Computer Systems Research in High Performance Cloud Computing Environments

宾厄姆顿大学，特别是其计算机科学（CS）系，成功地以充满活力和不断增长的研究生水平的研究项目补充了本科教育的卓越声誉。这种结合为在实验计算机系统研究中突出的NSF REU站点提供了肥沃的土壤。每年夏天，宾厄姆顿CISE REU网站都会吸引来自全国各地各种CS和计算机工程系的十名顶尖本科生。参与者包括(i)来自代表性不足群体的学生，（ii）女性学生，以及（iii）在本地机构参加研究生水平研究项目的机会有限的学生。学生们沉浸在密集的高质量的研究项目中，由宾厄姆顿的一个或多个CS教师研究导师指导，为期十周的夏季。宾厄姆顿的CISE REU网站让学生接触到高质量的计算机系统研究，培养他们成为有效的研究人员，并通过令人兴奋和积极的经历影响他们继续追求以研究为导向的职业道路，包括宾厄姆顿和其他大学的研究生学习。作为REU体验的一部分，学生们在宾厄姆顿的CS部门撰写研究风格的论文并进行公开会议风格的演讲。在准备这样做的过程中，学生们为系里的研究项目做出了重大贡献。专业知识的部门研究领域（因此是REU学生项目的潜在领域）包括计算机体系结构，能源感知计算，图形和图像计算，虚拟化，互联网搜索和信息检索，安全，云和网格计算，电路设计，算法优化，数据挖掘，移动和传感器网络等。该项目包括由当地教育评估专家实施的有效评估策略。高质量的研究环境，敬业和有才华的教师研究导师，以及由该评估专业人员驱动的反馈循环的结合，确保了拟议活动的强大智力价值。

Binghamton University in general, and its Computer Science (CS) Department in particular, are successfully complementing an outstanding reputation for undergraduate education with vibrant and growing graduate-level research programs. This combination provides fertile ground for an outstanding NSF REU Site in experimental computer systems research. Each summer, the Binghamton CISE REU Site attracts ten top undergraduate students from a wide variety of CS and Computer Engineering departments across the country. Participants include (i) students from under-represented groups, (ii) women, and (iii) students with limited local access to graduate-level research programs in their home institutions. Students immerse themselves in intensive high-quality research projects directed by one or more CS Faculty Research Mentors at Binghamton, for a ten week period in the summer.Binghamton's CISE REU Site exposes students to high-quality computer systems research, trains them to be effective researchers, and influences them through exciting and positive experiences to continue to pursue a research-oriented career path, including graduate study both at Binghamton and at other universities. As part of the REU experience, students write research-style papers and make public conference-style presentations in Binghamton's CS Department. In preparing to do so, the students make significant contributions to the department's research programs.Departmental research areas of expertise (and therefore potential areas for REU student projects) include computer architecture, energy-aware computing, graphics and image computing, virtualization, Internet search and information retrieval, security, cloud and grid computing, circuit design, algorithmic optimization, data mining, mobile and sensor networks, and more. The program includes an effective evaluation strategy carried out by a local educational evaluation expert. The combination of a high quality research environment, dedicated and talented Faculty Research Mentors, and a feedback loop driven by this evaluation professional, ensure the strong intellectual merit of the proposed activity.