Penn Engineering Class of 2020 Doctoral Graduate Recognition
Join us to hear a message from the Dean of Penn Engineering, Dr. Vijay Kumar, and view a virtual roll call of the Class of 2020 doctoral graduates, complete with […]
Join us to hear a message from the Dean of Penn Engineering, Dr. Vijay Kumar, and view a virtual roll call of the Class of 2020 doctoral graduates, complete with […]
Dean Vijay Kumar will address the Penn Engineering Class of 2020 undergraduate and master’s graduates and their loved ones. Join us to hear Dean Kumar’s address, view student photos, and […]
Abstract: The rising research interest in personalized medicine promises to revolutionize traditional medical practices. This presents a tremendous opportunity for developing wearable devices toward predictive analytics and treatment. In this […]
Gastrointestinal (GI) problems are the second leading cause for missing work or school after the common cold, giving rise to 10 percent of the reasons a patient visits their physician […]
A common theme among many models for spreading processes in networks is the assumption that the propagating object (e.g., a pathogen, in the context of infectious disease propagation, or a […]
Abstract The last decade has seen a remarkable shift in usage and value of semiconductor memory technologies. These changes are driven by the elevation of four particular target applications –(1) […]
The modern instantiation of a sensor network is a cyberphysical (CPS) system where CPS subsystems can be interconnected by a shared communication network of limited bandwidth. A common problem in […]
We shall examine in our talk concepts and tools for the analysis of social networks. We shall present in particular YouTube and Twitter. For YouTube, we point at shortcomings in […]
With the commercialization of wide-bandgap power semiconductors, multi-MHz switching frequencies are more compelling and critical to meet new applications demanding leaps in power density and efficiency. In the past, studies […]
Magnetic Resonance Imaging (MRI) can be accelerated by sampling below the Shannon-Nyquist rate via compressed sensing techniques. In this talk, I will consider the problem of optimizing the under-sampling pattern […]