REU Sites: Experimental Computer Systems Research at Binghamton University

宾厄姆顿大学，特别是其计算机科学（CS）系，正在成功地补充了本科教育的杰出声誉，并提供了充满活力和不断增长的研究生水平的研究项目。 这种结合为实验计算机系统领域的优秀本科生研究经验提供了肥沃的土壤。 高质量的研究环境，敬业和有才华的教师研究导师的组合，以及由当地教育评估专业人士驱动的反馈循环，确保了这个REU网站的强大智力价值。 一个有吸引力的高质量的网络空间，在高知名度的场地发表的论文，以及教师的谈话描述学生的研究，将证明本科生可以是有价值的和有效的研究人员，从而鼓励其他CS部门越来越多地雇用他们在这方面的能力。目前的研究项目由宾厄姆顿CS教师指导，包括提高现代微处理器和存储系统的性能，能源效率和可靠性;使用网格计算来解决计算复杂的分布式科学应用;结合和扩展广域网为基础的信息检索技术;推进人脸识别，处理，分析和动画研究;并为超大规模集成电路计算机辅助设计问题创造了新的组合优化技术。 宾厄姆顿REU网站的具体目标包括让学生接触高质量的计算机系统研究，培训他们成为有效和富有成效的计算机科学研究人员，并通过令人兴奋和积极的经验吸引他们继续追求以研究为导向的职业道路。

Binghamton University in general, and its Computer Science (CS) Departmentin particular, are successfully complementing an outstanding reputationfor undergraduate education with vibrant and growing graduate-levelresearch programs. This combination provides fertile ground foroutstanding undergraduate research experiences in the area of experimentalcomputer systems. The combination of a high quality research environment,dedicated and talented Faculty Research Mentors, and a feedback loop drivenby a local educational evaluation professional, ensure the strongintellectual merit of this REU site. An attractive high-quality Web space,papers published in high-profile venues, and faculty talks describingstudent research, will demonstrate that undergraduates can be valuable andeffective researchers, thereby encouraging other CS departments toincreasingly employ them in this capacity. Current research projects directed by Binghamton CS faculty include improvingthe performance, energy-efficiency, and reliability of modern microprocessorsand memory systems; using Grid computing to solve computationally complexdistributed scientific applications; combining and scaling wide-area Web-basedinformation retrieval techniques; advancing face recognition, processing,analysis, and animation research; and creating new combinatorial optimizationtechniques for VLSI computer aided design problems. Specific goals of theBinghamton REU Site include exposing students to high-quality computer systemsresearch, training them to be effective and productive computer scienceresearchers, and attracting them through exciting and positive experiencesto continue to pursue a research-oriented career path.