Abstract: Overall Objective. The goal of this project is to facilitate the timely retrieval of dynamic situational awareness information from field deployed nodes by an operational center in disaster recovery or search and rescue missions, which are typically characterized by resource-constrained uncertain environments.  Technology advances allow the deployment of field nodes capable of returning rich content (e.g., video/images) that can significantly aid rescue and recovery.

Abstract: Despite their importance within the energy sector, buildings have not kept pace with technological improvements and particularly the evolution of intelligent features. A primary obstacle in enabling intelligent buildings is their highly distributed and diverse nature.

Abstract: Selective laser sintering (SLS) is an additive manufacturing technique able to rapidly create parts directly from a CAD model using a laser to selectively fuse successive layers of powder. Defects can arise in SLS parts due to incomplete fusion of the powder layers or thermal stresses introduced by large temperature gradients during the part build.

Abstract: Implantable Cardiac Defibrillators (ICDs) are at the forefront of preventing sudden death in patients suffering from ventricular arrhythmias. ICDs have evolved into complex Cyber-Physical Systems (CPS) which tightly sensing, hardware, and software to diagnose arrhythmias based on electrogram signals and control cardiac excitation. These devices are life-critical, yet the Verification and Validation (V&V) techniques used for establishing their safety have remained informal, and rely largely on extensive unit testing.

NSF Awards #1035603 and #1545097 seek to bring software programmability to cyber-physical Laboratories-on-a-Chip (LoCs) that combine electrowetting-on-dielectric (EWoD) technology, driven by active-matrix addressing, with integrated sensing. Compared to traditional benchtop chemistry methods, EWoD-based LoCs reduce reagent consumption and the human error through miniaturization, automation, and programmability.

Abstract: Parking can take up a significant amount of the trip costs (time and money) in urban travel. As such, it can considerably influence travelers' choices of modes, locations, and time of travel. The advent of smart sensors, wireless communications, social media and big data analytics offers a unique opportunity to tap parking's influence on travel to make the transportation system more efficient, cleaner, and more resilient.

Abstract: The PIs are developing their novel modeling paradigm, Generalized Synchronization Trees (GSTs), into a rich framework for both describing cyber-physical systems (CPSs) and studying their behavior under interconnection. GSTs were inspired by Milner’s use of Synchronization Trees (STs) to model interconnected computing processes, but GSTs generalize the mathematical structure of their forebears in such a way as to encompass many classes of CPSs.

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Abstract: As part of our CPS project, we have focused on the problem of model repair for cyber-physical systems. This work involves identifying constraints caused due to physical components during revision. We consider four types of constraints cyber-cyber, cyber-physical, physical-cyber and physical-physical. Based on the complexity limitations caused by these constraints we are developing efficient heuristics to mitigate the cost of model repair. We have also focused on extending revision to code level.

Abstract: Our overall aim in this project is to synthesize desired behaviors in populations of bacterial and mammalian cells. To this goal, we define the basis of a next-generation CPS called biological CPS (bioCPS). The enabling technologies are synthetic biology and micron-scale mobile robotics. Synthetic gene circuits for decision making and local communication among the cells are automatically synthesized using a Bio- Design Automation (BDA) workflow.