MRI: Acquisition of Automatic Test Equipment to Enhance Research and Research Training in Engineering and Computer Science at San Francisco State University

MRI：采购自动测试设备以加强旧金山州立大学工程和计算机科学领域的研究和研究培训

• 批准号: 2018728
• 负责人: Hamid Mahmoodi
• 金额: $ 74.93万
• 依托单位: San Francisco State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-08-01 至 2023-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2018728&HistoricalAwards=false
• 关键词: MRI; Acquisition; Automatic; Test; Equipment

This Major Research Instrumentation (MRI) award supports the acquisition of state-of-the-art Automatic Test Equipment at San Francisco State University (SFSU) to accelerate research, expand research training capacity, and build new programs on electronic design and testing as well as collaborative robotics. This industry-standard test system will bring new experimental capability to test a variety of integrated circuits and circuit boards and will enable functional tests, parametric measurements, memory tests, scan tests, and speed tests. This MRI equipment acquisition will create new research opportunities and enhance existing research capabilities at an urban, Hispanic-serving, non-Ph.D. granting institution in the critical areas of hardware security, machine learning hardware, neural machine interface, wearable robotics, and artificial intelligence in robotics. The equipment will catalyze the establishment of an expert testing center that will benefit the broader research community and promote extensive collaborations with academic and industry partners. It will provide opportunities for Master’s and undergraduate students to engage in frontier research using cutting-edge technologies, which is critical for them to compete successfully for positions in industry or entrance into Ph.D. programs. The Automatic Test Equipment will provide a new tool for recruiting, retaining, and engaging students and faculty members from underrepresented groups in engineering and computer science at SFSU.The Automatic Test Equipment acquisition will greatly advance the research programs of faculty members and student researchers enabling them to test and characterize circuits ranging from simple digital circuits to complex system-on-chips. In hardware security research, the instrument will catalyze progress in designing reconfigurable circuits for hardware obfuscation. It will be used for testing the functionality, performance, and security of circuits and design techniques to enhance the security of Integrated Circuits. In the area of machine learning hardware, it will be used to test and characterize the functionality, power, frequency, and reliability of memristor-based pattern recognition circuits. The focus will be on testing analog integrated circuits interfaced with memristor crossbar arrays and determining memristor properties in pattern recognition applications. In the neural-machine interfaces area, the Automatic Test Equipment will enable collecting and interpreting bioelectric signals from human neural control systems to identify human states, including emotion, intention, and motion; and to control external devices, including power prostheses and virtual input devices. It will allow testing of embedded neural-machine interface prototypes with integrated microcontrollers, Radio Frequency chips, and biosensors. In the robotics area, the Automatic Test Equipment will be used to: (1) test and debug electronics used in wearable robotics to improve the mobility and quality of life for the disabled population; and (2) verify the functionality and security of sensors, including cameras and range and positioning sensors employed in autonomous robots and cyber-physical systems.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.

该重大研究仪器 (MRI) 奖项支持旧金山州立大学 (SFSU) 购买最先进的自动测试设备，以加速研究、扩大研究培训能力并建立电子设计和测试方面的新项目这种行业标准的测试系统将带来新的实验能力来测试各种集成电路和电路板，并将实现功能测试、参数测量、内存测试、扫描测试和速度测试。新的研究机会并增强现有的研究能力该设备将促进硬件安全、机器学习硬件、神经机器接口、可穿戴机器人和机器人人工智能等关键领域的城市、西班牙裔非博士学位授予机构。这将使更广泛的研究界受益，并促进与学术和行业合作伙伴的广泛合作。它将为硕士和本科生提供利用尖端技术从事前沿研究的机会，这对于他们成功竞争行业或行业职位至关重要。进入博士学位自动测试设备将为 SFSU 招募、留住和吸引来自工程和计算机科学领域代表性不足群体的学生和教职人员提供新工具。自动测试设备的采购将极大地推进教职人员和学生研究人员的研究计划。使他们能够测试和表征从简单数字电路到复杂片上系统的电路。在硬件安全研究中，该仪器将促进硬件混淆设计可重构电路的进展，它将用于测试功能、性能和功能。在机器学习硬件领域，它将用于测试和表征基于忆阻器的模式识别电路的功能、功率、频率和可靠性。重点将是测试与忆阻器交叉阵列接口的模拟集成电路，并确定模式识别应用中的忆阻器特性。在神经机器接口领域，自动测试设备将能够收集和解释来自人类神经控制系统的生物电信号，以识别人类。状态，包括情感、意图和运动；并控制外部设备，包括动力假肢和虚拟输入设备，它将允许在机器人领域测试带有集成微控制器、射频芯片和生物传感器的嵌入式神经机器接口原型。自动测试设备将用于：(1) 测试和调试可穿戴机器人中使用的电子设备，以改善残疾人的移动性和生活质量；(2) 验证传感器（包括摄像头和范围）的功能和安全性；和该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。