REU Site in Advanced Manufacturing and Supply Chain

REU 先进制造和供应链基地

基本信息

项目摘要

This new three-year REU project entitled REU Site in Advanced Manufacturing and Supply Chain (AMSC) at the University of Louisville will provide a 10-week summer experiential training for 8 undergraduate students each year. This site features research projects covering a broad spectrum of topics, all of which focus on matters of immediate and pressing issues in current and future manufacturing and supply chain. AMSC research is an evolving interdisciplinary domain at the intersection of engineering, business, and science. Today’s manufacturing and supply chain rely on advanced technology and require intensive skills that include simulation, automation, and computing. These techniques provide a platform for students to study and analyze AMSC systems, and in turn, investigate new research opportunities in science, engineering, and technology to improve such systems. The goal is to foster the integration of research into undergraduate education based on project-specific activities within the AMSC domain and demonstrate to the REU students how research outcomes can be translated to real-world settings.This new three-year REU project entitled REU Site in Advanced Manufacturing and Supply Chain (AMSC) at the University of Louisville will provide a 10-week summer experiential training. The AMSC REU site will host 8 students per year who will be recruited from minority-serving institutions and institutions with limited access to research facilities. The goal is to foster the integration of research into undergraduate education based on project-specific activities within the AMSC domain and demonstrate to the REU students how research outcomes can be translated to real-world settings. REU students will work closely with faculty mentors on cutting-edge research projects that are motivated from real world problems. The participants will work in state-of-the-art labs and research centers at the University and will also interact with post-doctoral students, graduate students, and industry advisors. The AMSC REU students will also participate in professional development opportunities such as workshops, training sessions, research presentations, and plant tours. Students will be exposed to high-quality, cutting-edge research and will develop greater awareness of career opportunities and be prepared for advanced studies in manufacturing and supply chain.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
这项新的三年REU项目名称为路易斯维尔大学高级制造和供应链(AMSC)的REU网站将为每年8个本科生提供为期10周的夏季体验培训。该网站的研究项目涵盖了广泛的主题,所有这些都集中在当前和未来的制造和供应链中的直接和紧迫问题上。 AMSC研究是一个不断发展的跨学科领域,在工程,商业和科学的交汇处。当今的制造业和供应链依赖于先进的技术,并且需要包括模拟,自动化和计算在内的密集技能。这些技术为学生提供了研究和分析AMSC系统的平台,然后研究科学,工程和技术方面的新研究机会,以改善此类系统。目的是基于AMSC领域内的项目特定活动来促进将研究的研究整合到本科教育中,并向REU学生展示如何将研究成果转化为现实世界中的现实环境。这项新的三年REU项目名为Louisville University of Louisville University of Louisville University of Louisville of Louisville of Louisville的REU STER中的REU站点将提供10周的夏季培训。 AMSC REU网站每年将接待8名学生,他们将从少数派服务机构和机构招募有限的研究设施。目的是基于AMSC领域中特定于项目的活动来促进将研究整合到本科教育中,并向REU学生展示如何将研究成果转化为现实世界中的环境。 REU学生将与教师的导师紧密合作,从事来自现实世界问题的尖端研究项目。参与者将在大学的最先进的实验室和研究中心工作,还将与博士后学生,研究生和行业顾问进行互动。 AMSC REU学生还将参加专业发展机会,例如研讨会,培训课程,研究演示和植物之旅。学生将受到高质量,尖端的研究,并将提高人们对职业机会的认识,并为制造和供应链的高级研究做好准备。该奖项反映了NSF的法定任务,并通过使用基金会的知识分子的智力优点和更广泛的影响来评估NSF的法定任务。

项目成果

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Faisal Aqlan其他文献

Applying Product Manufacturing Techniques to Teach Data Analytics in Industrial Engineering: A Project Based Learning Experience
应用产品制造技术教授工业工程中的数据分析:基于项目的学习体验
Optimal Cholera Vaccine Allocation Policies in Developing Countries: A Case Study
发展中国家霍乱疫苗的最佳分配政策:案例研究
  • DOI:
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    0
  • 作者:
    A. G. Qasem;Abdulrahman Shamsan;Faisal Aqlan
  • 通讯作者:
    Faisal Aqlan
A risk-based optimization framework for integrated supply chains using genetic algorithm and artificial neural networks
使用遗传算法和人工神经网络的基于风险的集成供应链优化框架
AN APPROXIMATION TO THE INVERSE OF LEFT-SIDED TRUNCATED GAUSSIAN CUMULATIVE NORMAL DENSITY FUNCTION USING POLYA’S MODEL TO GENERATE RANDOM VARIATES FOR SIMULATION APPLICATIONS
左端截断高斯累积正态密度函数的反函数的近似,利用Polya模型生成随机变量用于仿真应用
  • DOI:
    10.5937/jaes0-35413
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    0
  • 作者:
    M. Hamasha;Abdulaziz Ahmed;Haneen Ali;S. Hamasha;Faisal Aqlan
  • 通讯作者:
    Faisal Aqlan
Sensor-Based Virtual Reality for Clinical Decision Support in the Assessment of Mental Disorders
基于传感器的虚拟现实用于精神障碍评估中的临床决策支持
  • DOI:
    10.1109/cog47356.2020.9231896
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Bryant Niederriter;Alice Rong;Faisal Aqlan;Hui Yang
  • 通讯作者:
    Hui Yang

Faisal Aqlan的其他文献

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{{ truncateString('Faisal Aqlan', 18)}}的其他基金

Collaborative Research: An Extended Reality Factory Innovation for Adaptive Problem-solving and Personalized Learning in Manufacturing Engineering
协作研究:制造工程中自适应问题解决和个性化学习的扩展现实工厂创新
  • 批准号:
    2302833
  • 财政年份:
    2023
  • 资助金额:
    $ 38.05万
  • 项目类别:
    Standard Grant
Integrating Undergraduate Learning in Engineering and Business to Improve Manufacturing Education
将工程和商业本科学习相结合以改善制造教育
  • 批准号:
    2211066
  • 财政年份:
    2022
  • 资助金额:
    $ 38.05万
  • 项目类别:
    Standard Grant
Collaborative Research: Replication of a Community-Engaged Educational Ecosystem Model in Rust Belt Cities
合作研究:在铁锈地带城市复制社区参与的教育生态系统模式
  • 批准号:
    2111377
  • 财政年份:
    2021
  • 资助金额:
    $ 38.05万
  • 项目类别:
    Continuing Grant
RET Site in Manufacturing Simulation and Automation
制造仿真和自动化中的 RET 站点
  • 批准号:
    2055384
  • 财政年份:
    2021
  • 资助金额:
    $ 38.05万
  • 项目类别:
    Standard Grant
Research Initiation: Advanced Modeling of Metacognitive Problem Solving and Group Effectiveness in Collaborative Engineering Teams
研究启动:协作工程团队中元认知问题解决和团队有效性的高级建模
  • 批准号:
    2208680
  • 财政年份:
    2021
  • 资助金额:
    $ 38.05万
  • 项目类别:
    Standard Grant
RET Site in Manufacturing Simulation and Automation
制造仿真和自动化中的 RET 站点
  • 批准号:
    2204719
  • 财政年份:
    2021
  • 资助金额:
    $ 38.05万
  • 项目类别:
    Standard Grant
GOALI: Stochastic Optimization Framework for Energy-Smart Re/Manufacturing Systems
GOALI:能源智能再造/制造系统的随机优化框架
  • 批准号:
    2038325
  • 财政年份:
    2021
  • 资助金额:
    $ 38.05万
  • 项目类别:
    Standard Grant
RET Site in Manufacturing Simulation and Automation
制造仿真和自动化中的 RET 站点
  • 批准号:
    2204601
  • 财政年份:
    2021
  • 资助金额:
    $ 38.05万
  • 项目类别:
    Standard Grant
Collaborative Research: Replication of a Community-Engaged Educational Ecosystem Model in Rust Belt Cities
合作研究:在铁锈地带城市复制社区参与的教育生态系统模式
  • 批准号:
    2152282
  • 财政年份:
    2021
  • 资助金额:
    $ 38.05万
  • 项目类别:
    Continuing Grant
Integrating Undergraduate Learning in Engineering and Business to Improve Manufacturing Education
将工程和商业本科学习相结合以改善制造教育
  • 批准号:
    2021303
  • 财政年份:
    2020
  • 资助金额:
    $ 38.05万
  • 项目类别:
    Standard Grant

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REU 网站:ACRES:学生的高级计算研究体验
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