CNIC:US-UAE Planning Visit: Development of Research Collaborations on Spatio-temporal Modeling and Analysis of Mobile Sensor Data in Evaluating Environmental Exposures

CNIC：美国-阿联酋计划访问：评估环境暴露的移动传感器数据时空建模和分析方面的研究合作的发展

• 批准号: 1338378
• 负责人: Wan Bae
• 金额: $ 3.46万
• 依托单位: University of Wisconsin-Stout
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-10-01 至 2014-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1338378&HistoricalAwards=false
• 关键词: CNIC; US; UAE; Planning; Visit

1338378BaeThis project will support a team headed by Dr. Wan Bae, University of Wisconsin-Stout, Menomonie, WI for a two week visit to the United Arab Emirates (UAE) for the establishment of new international research collaborations between researchers in the two countries. This visit will enable the PI and Dr. Cheng Liu and two undergraduate students from the UWI-Stout, Dr. Petr Vojtchovsky from the University of Denver, and Dr. Shashi Shekhar from the University of Minnesota, to meet with Dr. Shayma Alkobaisi, Dr. Ahmed Al Faresi, Dr. Mohammad Masud, Dr. Fatma Maskari and their students from the United Arab Emirates University, and Dr. Ibrahim Kamel from the University of Sharjah to develop a research framework for modeling and analysis of individual exposure to various environmental conditions. The research will focus on developing data models and computing algorithms for effectively mapping individuals? environmental exposure to their health conditions, and implementing Map/Reduce methods for efficiently processing iterative computations of the proposed models and algorithms. As a result, the research team will submit a subsequent grant proposal targeted for the NSF Smart Health and Wellbeing (SHB) program.Intellectual Merit: Relations between negative health effects like asthma and lung cancer and elevated levels of the environmental factors, such as air pollution, tobacco smoke and humidity, have been detected in several large scale exposure studies. Evaluating environmental exposures often requires the ability to track, monitor, store, and analyze individual moving trajectories along with several environmental conditions the individual is exposed to in order to identify relationships among these data. Challenges arise due to spatio-temporal uncertainty, data size, and iterative computations of commonly used data modeling algorithms such as the Back propagation neural network algorithm. The main objectives of this research are: (1) to develop novel data models to map individuals environmental exposures to health levels, (2) to design a new technique for implementing the proposed models on the Map/Reduce paradigm of the Hadoop system, (3) to develop data analysis algorithms to characterize behaviors in learned models and interpret the data for estimating their effects on human health, (4) to build an evaluation system for Asthma patients as a case study. The research team, consisting of mathematicians, computer and information scientists, engineers and medical expertise, is capable of carrying out the planned tasks.Broader Impacts: The project will support two U.S. undergraduate students to be actively involved in scientific research. Their involvement is designed to integrate research and education through various activities. Gaining experience with inter-cultural collaboration is one of the mutual benefits to both the U.S. and UAE students. The also promotes diversity with the involvement by students from the U.S. who may be first-generation college students and UAE national students. The U.S. and UAE researchers will build new relationships that are the basis for future collaborations in research and education. Further, this project will broaden the understanding of the impact of the environment on public health and the importance of individual-based health care for patients, doctors, and healthcare providers.

1338378 BaeThis项目将支持由Wan Bae博士领导的团队，威斯康星大学Stout，Menomonie，WI对阿拉伯联合酋长国（UAE）进行为期两周的访问，以建立两国研究人员之间的新的国际研究合作。此次访问将使PI和Cheng Liu博士以及来自UWI Stout的两名本科生，丹佛大学的Petr Vojtchovsky博士和明尼苏达大学的Shashi Shekhar博士能够会见来自阿拉伯联合酋长国大学的Shayma Alkobaisi博士，Ahmed Al Faresi博士，Mohammad Masud博士，Fatma Maskari博士及其学生，和来自沙迦大学的Ibrahim Kamel博士合作，开发一个研究框架，用于对个人暴露于各种环境条件进行建模和分析。这项研究将集中在开发数据模型和计算算法，有效地映射个人？环境暴露于他们的健康状况，并实施Map/Reduce方法，以有效地处理所提出的模型和算法的迭代计算。因此，该研究团队将提交一份针对NSF智能健康和福祉（SHB）项目的后续拨款提案。学术价值：在几项大规模暴露研究中，发现了哮喘和肺癌等负面健康影响与空气污染、烟草烟雾和湿度等环境因素水平升高之间的关系。评估环境暴露通常需要跟踪、监视、存储和分析个体移动轨迹沿着个体暴露于的若干环境条件的能力，以便识别这些数据之间的关系。由于时空不确定性、数据大小和常用数据建模算法（如反向传播神经网络算法）的迭代计算，出现了挑战。这项研究的主要目标是：（1）开发新的数据模型，将个人环境暴露映射到健康水平，（2）设计一种新技术，用于在Hadoop系统的Map/Reduce范式上实现所提出的模型，（3）开发数据分析算法，以表征学习模型中的行为，并解释数据，以估计其对人类健康的影响，（4）以哮喘患者为例，建立哮喘患者的评估体系。该研究小组由数学家、计算机和信息科学家、工程师和医学专家组成，能够完成计划中的任务。更广泛的影响：该项目将支持两名美国本科生积极参与科学研究。 他们的参与旨在通过各种活动将研究和教育结合起来。获得跨文化合作的经验是美国和阿联酋学生的共同利益。它还促进了来自美国的学生的参与，这些学生可能是第一代大学生和阿联酋国民学生。美国和阿联酋的研究人员将建立新的关系，这是未来研究和教育合作的基础。此外，该项目将扩大对环境对公共卫生的影响以及患者，医生和医疗保健提供者基于个人的医疗保健的重要性的理解。