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Developing adaptive instruction for teams requires a new generation of Adaptive Instructional Systems that can accurately assess team behaviors in real-time. To effectively adapt tutoring to the complex dynamics of teams calls for the creation of computational models that can operationalize and assess team performance and deliver coaching and feedback to team members as they complete simulated training events. Recent advancements in deep learning-driven natural language processing and reinforcement learning offer significant promise for achieving these capabilities. The goal of this project is to develop tools and methods that can be used by team training researchers to automatically analyzing team communication data and devise tutorial planners that can deliver run time feedback during team training tasks in synthetic environments. In particular, the project will (1) investigate how advances in deep learning-driven natural language processing can be leveraged to analyze team discourse in order to help researchers automatically assess team communication and team performance and (2) investigate how data-driven machine learning approaches can be leveraged to devise tutorial planning models that can automatically deliver run-time feedback during team training tasks in simulated environments.
The DoD is making available scholarships for N.C. State students specializing in cybersecurity. Students (junior and senior) must be US citizens and majoring in any engineering field at the bachelor, master's, and PhD level with a specialization in cybersecurity. In addition to full tuition, this scholarship can last up to five years and provide a generous stipend, tuition, health insurance, and an allowance for other professional expenses. In return, the student agrees to work after graduation with a federal, executive-branch government agency for an equal period of time. The program includes mentoring, professional opportunities while in school, and assistance finding internships and post-graduation full-time employment in government.
This project will develop adaptive rendering and display technologies supporting emerging immersive displays, including wall-spanning, glasses-free stereo windows and lightweight AR/VR glasses. Such displays demand high-bandwidth, low-latency input not available today. We will attack this problem with software and hardware that exploit perceptual asymmetries and spatiotemporal redundancies. The resulting immersive displays will help realize nascent applications such as immersive entertainment and simulation, socially engaging conferencing and first-person wayfinding.
Digital innovation is the source of competitiveness and value creation for many types of businesses. The universal desire for rapid digital innovation demands efficient reuse of software code building blocks, which has increased the dependence upon open source and third-party libraries and tools that comprise the software supply chain. Adversaries have moved from finding and exploiting vulnerabilities in end products to a new generation of supply chain attacks where attackers aggressively implant malicious code directly into artifacts in the supply chain and find their way into build and deployment pipelines. Digital innovation depends upon confidence in the software supply chain. As such, our research will enable the following vision:The software industry can rapidly innovate with confidence in the security of their software supply chain.The challenge of software supply chain security has recently received significant interest from industry and government. However, discussions with key stakeholders indicate that the state-of-the-art is preliminary, motivating scientific research to address the underlying fundamental challenges that will limit the practical success of existing approaches. We tackle the challenges of secure software supply chain through three thrusts: prevention, detection, and response, with an explicit objective of moving toward preventing security failures. For each thrust, we consider five hard security problems: (1) Scalability and Composability, such as detecting malicious commits and hardening containers; (2) Policy-governed Secure Collaboration, such as effective use of Software Bill of Materials; (3) Predictive Security Metrics, such as measuring the exploitability of vulnerabilities; (4) Resilient Architectures, such as isolation and sandboxing of components; and (5) Human Behavior, such as studying how to make software developers make more secure decisions. The project will impact the software industry by engaging with current industry players/community, enabling their participation in our research thrusts. Additionally, the project will involve educating the next generation of engineers to eradicate software supply chain security issues and training current employees to make them aware of these issues to help reduce them. To solve these challenging issues, we have created a multidisciplinary proposing team committed to diversity. 2b1af7f3a8