Abstract: The project aims to establish a Cyber-Physical Infrastructure for urban environments and address fundamental problems that involve data collection, resource allocation, real-time decision making, safety, and security.

Abstract: This project's objective is to enable assertion-­‐driven development and debugging cyber-­‐ physical systems (CPS). As opposed to traditional uses of assertions in software engineering, CPS demand a tight coupling of the cyber with the physical, including in system validation. This project will use mathematical models of key physical attributes to guide creation of assertions, to identify inconsistent or infeasible assertions, and to localize potential causes for CPS failures.

Abstract: As technology pushes automation to greater degrees of autonomy, the verification  and  validation burden becomes more cost and time prohibitive. It has been well established that, as stated in AF Technology Horizons 2010, “It is possible to develop systems having high levels of autonomy, but it is the lack of suitable V&V methods that prevents all but relatively low levels of autonomy from being certified for use." This increased move towards further levels of autonomy has brought the certification need to a national level.

Abstract: How much should a person be allowed to interact with a controlled machine? If that machine is easily destabilized, and if the controller operating it is essential to its operation, the answer may be that the person should not be allowed any control authority at all. Using a combination of techniques coming from machine learning, optimal control, and formal verification, the proposed work focuses on a computable notion of trust that allows the embedded system to assess the safety of instruction.

Abstract: Growing demands on our civil infrastructure have heightened the need for smart structural components and systems whose behavior and performance can be controlled under a variety of loading scenarios such as high winds and earthquakes.

Abstract: The objective of this NSF-CPS Synergy proposal is to develop a distributed algorithmic framework, supported by a highly fault-tolerant software system, for executing critical transmission-level operations of the North American power grid using gigantic volumes of Synchrophasor data.

Abstract: The project pursues two major goals addressing the verification of cyber-physical systems. Firstly, one goal of this project is to develop theory, practice, and applications of verification techniques for distributed hybrid systems with flexible system structures that can change by reconfiguring the system.

Abstract: The project is an on‐going collaborative effort between Massachusetts Institute of Technology and University of Pennsylvania since 2011.

Abstract: This cross-disciplinary project brings together a team of engineering and computer science researchers to create, validate, and demonstrate the value of new techniques for ensuring that systems composed of combinations of hardware, software, and people are designed to operate in a truly synergistic and safe fashion.

Abstract: Ongoing breakthroughs in nationally important research areas like Verification and Artificial Intelligence depend on continuing advances in high-performance automated theorem proving tools. The typical use of these tools is as backends: application problems are translated by an application tool into (typically very large and complex) logic formulas, which are then handed off to a logic solver. Different tradeoffs between linguistic expressiveness and the difficulty of solving the resulting problems give rise to different logics.