Large-scale medical imaging studies to date have predominantly leveraged in-house, laboratory-based or traditional grid computing resources for their computing needs, where the applications often use hierarchical data ...

The advent of the Internet of Things (IoT) has enabled smart applications, which provides near real-time and robust predictive data analytics. The backbone of these predictive analytics services is an underlying machine ...

Over the past decades, distributed computing paradigm has evolved from smaller and mostly homogeneous clusters to the current notion of ubiquitous computing, which consists of dynamic and heterogeneous resources in large ...

Software Defined Networking (SDN) has seen growing deployment in the large wired data center networks due to its advantages like better network manageability and higher-level abstractions. At the core of SDN is the separation ...

Transportation infrastructure is a complex human cyber-physical system that is currently facing significant challenges in many communities around the world. The problem emanates from increased congestion, which results in ...

Decision making in the presence of uncertainty received a major focus of traditional Artificial Intelligence (AI) research. In an adversarial environment with competing agents, this challenge is compounded by interdependence: ...

Alienating Aesthetics considers the relationship between surgical practice and anatomical displays in museums, performance art, theatre, avant-garde film, and medical fictions. This project looks at the purpose of art ...