REU-Site: A Summer Information TEchnology Research Experience for Undergraduates (SITe-REU)

马萨诸塞大学阿默斯特分校计算机科学系在W. Richards (Rick) Adrion教授的指导下，正在举办本科生暑期信息技术研究体验（SITe-REU）。我们正在招收社区大学的学生，也就是说，计划转学或已经转学到四年制课程的学生。少数族裔和女性在IT副学士学位课程中的比例要高于在学士学位课程中的比例。这些学生通常是家里第一个上大学的人，可能缺乏家庭和社区的指导和榜样，经常专注于工作机会，很少考虑研究生课程或研究职业。接触到这些不同的学生群体，以吸引，留住和培养他们在高年级和研究生课程是我们REU网站的主要目标。我们正在与三个NSF BPC，两个LSAMP和一个EGEP联盟以及其他联盟合作，以广泛撒网，使各种各样的学生获得积极的研究经验。每年春天，我们将选择10名即将升学的大三学生或大四学生参加为期10周的暑期研究体验。我们为学生确定了强调基础计算机科学的研究项目，这是解决广泛的IT挑战的核心。项目包括：机器人技术（用于操作的传感器融合，内部碰撞的紧急检测）；生物信息学和生物计算（记忆、昼夜节律或肿瘤建模、蛋白质折叠、基因调控）；无线网络（DieselNET定位系统、数据库和诊断、TurtleNET野生动物追踪网）；学习系统（智能导师的教学代理、jMANIC、Ubiquitous/Auto Presenter）；软件工程（医疗错误建模，争议解决系统）；安全/隐私（医疗设备，rfid）；和数据挖掘（社交网络模型）。

The Department of Computer Science at the University of Massachusetts Amherst is hosting a Summer Information Technology Research Experience for Undergraduates (SITe-REU) under the direction of Professor W. Richards (Rick) Adrion. We are recruiting students in community college pathways, i.e., students planning to transfer or who have transferred to 4-year programs. Minorities and women are proportionally better represented in IT associates degree programs than they are in bachelors programs. These students often are the first in their families to attend college, may lack family and community mentoring and role models, frequently are focused on job opportunities, and seldom think about graduate programs or research careers. Reaching out to this diverse student population to attract, retain and nurture them in upper division and graduate programs is the primary goal of our REU Site. We are partnering with three NSF BPC, two LSAMP, and one EGEP alliances and others to cast a wide net and bring a diverse set of students into positive research experiences. Each spring we will select 10 rising juniors or seniors to participate in a 10-week summer research experience. We identified research projects for the students that emphasize fundamental computer science that is core to addressing a broad set of IT challenges. Projects include: Robotics (sensor fusion for manipulation, emergency detection of immanent collision); Bioinformatics and Biocomputing (memory, circadian, or tumor modeling, protein folding, gene regulation); Wireless Networks (the DieselNET location system, database, and diagnostics, the TurtleNET wildlife tracking net); Learning Systems (pedagogical agents for intelligent tutors, jMANIC, Ubiquitous/Auto Presenter); Software engineering (medical error modeling, dispute resolution systems); Security/Privacy (medical Devices, RFIDs); and Data Mining (models for social nets).