REU Site: Parallel and Distributed Computing

本计划建立本科生研究经验（REU）网站，以促进本科生早期参与研究。来自奥本大学计算机科学与软件工程系、电气与计算机工程系和物理系的多学科教师团队合作，为参与的学生提供多学科计算方面的研究经验。它将让学生接触高性能计算和其他网络基础设施资源，在合作研究环境中提供实践经验，并激励他们走向先进的STEM教育和研究事业。因此，该项目将促进学生参与计算机科学、电气工程和物理学的研究生学习，并将有助于保持美国在计算机教育和研究方面的领导地位。社会将受益于在网络基础设施、并行和分布式计算以及神经成像信息学等国家需要的关键领域训练有素的劳动力。来自代表性不足群体的学生将被鼓励参加REU网站。教师将指导学生进行精心策划的研究项目，这些项目提出了一系列科学和技术挑战。该项目通过合作培养学生和教师之间的长期指导关系。研究成果可以降低运营数据中心的能源成本和碳足迹，并保护美国电网的智能公用事业网络。该研究旨在更好地理解在GPS退化环境中加强城市交通控制、国土安全和车辆位置信息、等离子体物理和更好地诊断精神健康疾病。该项目的目标是为本科生提供关于并行和分布式计算的连贯主题的研究机会。学生将使用网络基础设施来解决计算机科学、电气和计算机工程以及物理方面的问题。由于当前计算领域的能源消耗非常重要，学生们将以减少能源消耗为共同目标来解决问题，从而加强群体体验。多学科互动将提供横切研究的经验。学生们将在初夏参加培训活动。接下来，他们将在导师的指导下进行研究，撰写报告并进行口头陈述。该研究项目旨在为新型热意识计算机系统的设计做出贡献，以提高能源效率，从而延长组件的使用寿命。它将研究在自组织网络基础设施中使用最小带宽和时间校正GPS信息的新型数据传播算法。它探索了移动网络基础设施的创新实时分布式分析，以支持多用户协调行动，平衡风险和回报。它可以帮助理解等离子体中离子速度环的不稳定性，使用通道状态指纹识别的新型深度学习算法来降低室内位置检测的功耗，以及神经信息学中的机器学习算法来推进脑科学。

This project establishes a Research Experiences for Undergraduates (REU) Site to promote early engagement of undergraduate students in research. A multi-disciplinary team of faculty from the departments of Computer Science and Software Engineering, Electrical and Computer Engineering, and Physics at Auburn University collaborate to provide participating students with research experiences in computational aspects of multiple disciplines. It will expose students to high-performance computing and other cyberinfrastructure resources, provide hands-on experience in a collaborative research environment, and inspire them towards advanced STEM education and research careers. Thus, the project will promote participation of students in graduate studies in computer science, electrical engineering and physics and will help maintain US leadership in computing education and research. The society will benefit from the trained workforce in critical areas of national need of cyberinfrastructure, parallel and distributed computing and neuroimaging informatics. Students from underrepresented groups will be encouraged to participate in the REU site. Faculty will mentor students in carefully planned research projects which pose a range of scientific and technological challenges. The program fosters long-term mentoring relationships between students and faculty through collaboration. The research outcomes can lower energy costs and carbon footprint in operating data centers and secure smart utility networks in US power grids. The research aims for better understanding of enhancing urban traffic control, homeland security and location information to vehicles in a GPS degraded environment, plasma physics and better diagnosis of mental health diseases.The objective of this project is to offer research opportunities to undergraduate students around a coherent theme of parallel and distributed computing. The students will use cyberinfrastructure to solve problems in computer science, electrical and computer engineering and physics. As energy consumption in computing is of current importance, students will solve problems with a common focus on energy reduction, reinforcing the cohort experience. The multidisciplinary interaction will provide experience in crosscutting research. The students will participate in training activities at the beginning of summer. Next, they will conduct research under the supervision of mentors and write reports and deliver oral presentations. The research project aims to contribute to the design of new thermal conscious computer systems to improve energy-efficiency and thereby longer component lifespan. It will investigate novel data dissemination algorithms in ad-hoc cyberinfrastructure to correct GPS information using minimal bandwidth and time. It explores innovative real-time distributed analytics on mobile cyberinfrastructure to support multi-user coordinated actions, which balance risk and reward. It can contribute to the understanding of ion velocity ring instabilities in plasmas, novel deep learning algorithm using channel state finger-printing to reduce power for indoor location detection and machine learning algorithms in neuro-informatics to advance brain science.