PIRE: Science of Design for Societal-Scale Cyber-Physical Systems

This project aims to develop a new Science of Design for societal-scale Cyber- Physical Systems (CPS).

Spatio-Temporal AI Inference Engines for System-Level Reliability

High-dimensional Data-driven Energy optimization for Multi-Modal transit Agencies (HD-EMMA)

Transportation accounts for 28% of the total energy use in the United States and as such, it is responsible for immense environmental impact, including urban air pollution and greenhouse gas emissions, and may pose a severe threat to energy security. As we encourage mode shift from personal vehicles to public transit, it is important to consider that public transit systems still require substantial amounts of energy; for example, public bus transit services in the U.S. are responsible for at least 19.7 million metric tons of CO2 emission annually.

SCC-IRG Track 1: Mobility for all - Harnessing Emerging Transit Solutions for Underserved Communities

Public transportation infrastructure is an essential component in cultivating equitable communities. However, public transit agencies have historically struggled to achieve this since they are often severely stressed in terms of resources as they have to make the trade-off between concentrating service into routes that serve large numbers of people and spreading service out to ensure that people everywhere have access to at least some service.

SAFE-Ride -- A regional transit Coalition for Managing Safe and Efficient Transit Operations using AI

III: Small: Collaborative Research: Summarizing Heterogeneous Crowdsourced & Web Streams Using Uncertain Concept Graphs

Ubiquitous access to mobile and web technologies enables the public to share valuable information about their surroundings anywhere and anytime. For example, during an emergency or crisis people report needs from affected areas via social media as an alternative to the traditional 911 calls. This can be valuable information for a range of emergency service officials. However, the utilization of this data poses several computational challenges as it is generated in real time, is heterogeneous, highly unstructured, redundant, and sometimes unreliable.

AI-Engine for Optimizing Integrated Service Mixed Fleet Transit Operations

In every public transit system, a trade-off has to be made between concentrating service into very useful routes that serve large numbers of people and spreading service out to ensure that people everywhere have access to at least some service. Improving the efficiency of an existing system while enhancing service in terms of both usefulness and coverage presents considerable challenges.

Combining Real-time & Offline Decision Making for Urban Air Mobility Systems

Pre-curser for Fully Distributed Control of Powergrids

CPS: Small: Integrated Reconfigurable Control and Moving Target Defense for Secure Cyber-Physical Systems

Cyber-physical systems (CPS) are engineered systems created as networks of interacting physical and computational processes. Most modern products in major industrial sectors, such as automotive, avionics, medical devices, and power systems already are or rapidly becoming CPS driven by new requirements and competitive pressures.

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