Restricted Research - Award List, Note/Discussion Page

Fiscal Year: 2021

201  University of North Texas  (84497)

Principal Investigator: Yang,Qing

Total Amount of Contract, Award, or Gift (Annual before 2011): $ 499,438

Exceeds $250,000 (Is it flagged?): Yes

Start and End Dates: - 7/31/23

Restricted Research: YES

Academic Discipline: Computer Science & Engineering

Department, Center, School, or Institute: College of Engineering

Title of Contract, Award, or Gift: Cyber Training: Implementation: Small: Collaborative Integrated Training on Connected and Autonomous Vehicles Cyber Infrastructure

Name of Granting or Contracting Agency/Entity: National Science Foundation

Program Title: N/A
CFDA Linked: Computer and Information Science and Engineering


1.3.2 (SAM); This project will leverage the existing partnerships with relevant stakeholders to create tailored, highimpact,engaging, collaborative, and integrated training modules for CAV-CI research workforce development. The training activities are built upon our innovative research on deep learning for safe selfdriving,efficient data sharing and fusion for CAVs, and edge-assisted vehicle and traffic information processing. Each training module will focus on a project, each with strong practical relevance and meaningfulness, in order to foster CAV-CI research and enlighten the trainees. With the aim to enhance trainee's design and implementation capability, problem-solving skills, and critical thinking ability, the proposed training program will result in: (1) a project-oriented short course plus long-term coaching and support, (2) hands-on training modules on the perception, network, and application layers in CAV-CI, (3) an annual research workshop that disseminates research results and receives feedback on the training program from the research and industrial communities, and (4) research projects for REU students and capstone projects for senior undergraduates. The long-term goal is to develop a first of its kind open CAV cyberinfrastructure, an integrated training and research hub, to accelerate the research and education in CAV.This project has immediate impacts. (1) Technical impacts: The prospect of cooperative perceptionmfunctions, information dissemination mechanisms, data fusion algorithms, and the generated datasets canadvance the design and development of future CAV systems and applications. (2) Involvement of under undergraduate students: The PIs will leverage the NSF “REU Site: Vehicular Edge Computing and Security: Research Experience for Undergraduates” hosted at UNT to recruit women and minority undergraduates to participate in the training program at UNT. (3) Community College Outreach: UNT is a major hub of the NSF National Convergence Technology Center (CTC), the research outcomes and training modules developed from this project will be integrated into the training activities already employed by this center, to implement best practices for recruiting, retaining and graduating underserved students in community colleges. (4) Industrial Outreach: The PIs will organize the Annual Workshop on Connected and Autonomous Vehicles at UNT to promote the UNT CAV-CI and the proposed training program to our industrial partners and research collaborators from various domains, e.g., networking, traffic engineering, automobile, edge computing, and cyber-physical systems.

Discussion: No discussion notes


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