REU Site: Research Experiences for Undergraduates in Smart Computing and Communications

REU 网站：智能计算和通信本科生的研究经验

• 批准号: 2050999
• 负责人: Nirmalya Roy
• 金额: $ 40.22万
• 依托单位: University of Maryland Baltimore County
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-03-01 至 2025-02-28
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2050999&HistoricalAwards=false
• 关键词: REU; Site; Research; Experiences; Undergraduates

The goal of this Research Experiences for Undergraduate (REU) site in Smart Computing and Communications is to increase technical awareness, intellectual curiosity, creativity, and critical thinking of undergraduate students in smart computing and communications. This project will contribute to the preparation of a diverse workforce of scientist trained in the multi-disciplinary area, which promises to impact most every sector of society such as healthcare, natural disasters, energy, transportation, agriculture, finance, manufacturing, and national defense. Students from predominantly undergraduate and community college institutions will have the opportunity to be engaged in cutting edge research. The program will bring together a cohort of ten undergraduate student researchers per year to participate in a 10-week full-time research program. Each student will select a research project and will be immersed in an active research group, led by a faculty mentor and a senior-level graduate student, committed to actively guiding undergraduate researchers and providing a high-impact educational experience. The students will participate in weekly professional development seminars and short courses on topics including, but not limited to, technical writing, public speaking, and ethics in science and engineering. At the end of the 10-week program, students will conduct a poster presentation as part of the campus-wide Summer Undergraduate Research Fest (SURF). Students will also have the opportunity to continue their research throughout the academic year and submit papers to peer-reviewed venues with faculty advisors.The REU research projects will be conducted in three interrelated thrust areas of smart computing and communications: (i) security and privacy protection, (ii) novel applications and (iii) sensing and adaptive networking. Proposed projects will include a mix of theory and hands-on work and will leverage enabling paradigms (e.g., cloud computing, Internet-of-Things, high-speed wireless) to design, model, and implement novel techniques and solutions for smart computing and communication applications, encompassing algorithms for artificial intelligence, data mining, machine learning, edge analytics, signal processing and big data. Some projects will also include building functional prototypes for demonstration. The program will expand the minds and capabilities of each participant, including faculty mentors and graduate students to help them become better teachers and communicators. The research results will be disseminated through data releases, conference publications and presentations in scholarly venues.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.

智能计算和通信本科生研究体验 (REU) 网站的目标是提高本科生在智能计算和通信方面的技术意识、求知欲、创造力和批判性思维。该项目将有助于培养在多学科领域接受过培训的多元化科学家队伍，这有望影响社会的几乎每个部门，例如医疗保健、自然灾害、能源、交通、农业、金融、制造和国防。主要来自本科和社区学院机构的学生将有机会从事前沿研究。该项目每年将召集 10 名本科生研究人员参加为期 10 周的全日制研究项目。每个学生都将选择一个研究项目，并加入一个活跃的研究小组，该小组由一名教师导师和一名高级研究生领导，致力于积极指导本科生研究人员并提供高影响力的教育体验。学生将参加每周的专业发展研讨会和短期课程，主题包括但不限于技术写作、公开演讲以及科学与工程伦理。在为期 10 周的项目结束时，学生将进行海报展示，作为全校夏季本科生研究节 (SURF) 的一部分。学生还将有机会在整个学年继续进行研究，并与教师顾问一起向同行评审场所提交论文。REU 研究项目将在智能计算和通信的三个相互关联的重点领域进行：(i) 安全和隐私保护，(ii) 新颖的应用以及 (iii) 传感和自适应网络。拟议的项目将包括理论和实践工作的结合，并将利用支持范例（例如云计算、物联网、高速无线）来设计、建模和实施智能计算和应用的新技术和解决方案。通信应用，包括人工智能、数据挖掘、机器学习、边缘分析、信号处理和大数据的算法。一些项目还将包括构建用于演示的功能原型。该计划将拓展每个参与者（包括教师导师和研究生）的思想和能力，帮助他们成为更好的教师和沟通者。研究结果将通过数据发布、会议出版物和学术场所演讲的方式传播。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。

项目成果

SpecTextor: End-to-End Attention-based Mechanism for Dense Text Generation in Sports Journalism

• DOI: 10.1109/smartcomp55677.2022.00081
• 发表时间: 2022-06
• 期刊: 2022 IEEE International Conference on Smart Computing (SMARTCOMP)
• 作者: Indrajeet Ghosh;Matthew Ivler;S. R. Ramamurthy;Nirmalya Roy

SrPPG: Semi-Supervised Adversarial Learning for Remote Photoplethysmography with Noisy Data

• DOI: 10.1109/smartcomp58114.2023.00021
• 发表时间: 2023-06
• 期刊: 2023 IEEE International Conference on Smart Computing (SMARTCOMP)
• 作者: Zahid Hasan;A. Faridee;Masud Ahmed;Shibi Ayyanar;Nirmalya Roy

CHARLIE: A Chatbot That Recommends Daily Fitness and Diet Plans

CHARLIE：推荐日常健身和饮食计划的聊天机器人

• DOI: 10.1109/percomworkshops56833.2023.10150359
• 发表时间: 2023
• 期刊: IEEE
• 作者: Chowdhury, Deepanjali;Roy, Ahana;Ramamurthy, Sreenivasan Ramasamy;Roy, Nirmalya
• 通讯作者: Roy, Nirmalya

A Scalable and Domain Adaptive Respiratory Symptoms Detection Framework using Earables

• DOI: 10.1109/bigdata52589.2021.9671796
• 发表时间: 2021-12
• 期刊: 2021 IEEE International Conference on Big Data (Big Data)
• 作者: Nhan Nguyen;Avijoy Chakma;Nirmalya Roy

An Online Continuous Semantic Segmentation Framework With Minimal Labeling Efforts

• DOI: 10.1109/smartcomp58114.2023.00032
• 发表时间: 2023-06
• 期刊: 2023 IEEE International Conference on Smart Computing (SMARTCOMP)
• 作者: Masud Ahmed;Zahid Hasan;Tim Yingling;Eric O'Leary;S. Purushotham;Suya You;Nirmalya Roy