This era of the internet of things is poised to experience explosive growth in the number of interconnected smart electronic devices. Machine learning algorithms, such as neural networks, are expected […]
Autonomous flight through unknown environments in the presence of obstacles is a challenging problem for micro aerial vehicles (MAVs). A majority of the current state-of-art research focuses on modeling obstacles […]
Committee: Robert Riggleman, PhD (co-advisor); Russell Composto, PhD (co-advisor); Ravi Radhakrishan, PhD; and Jeff Meth, PhD
Low temperature synthesis of high quality 2D materials directly on flexible substrates remains a fundamental limitation towards realization of robust, strainable electronics possessing the unique physical properties of atomically thin […]
A reception on inclusion will be held for new Penn Engineering doctoral students to connect them to their peers and supporting structures within the school. Please join the Dean, Deputy Dean, […]
Abstract: We aim to establish and experimentally test mathematical models of embryogenesis. While the foundation of this research is based on models of isolated developmental events, the ultimate challenge is […]
Compressive Sensing is an acquisition technique which relies on the sparsity of the underlying signals, to enable sampling below the classical Nyquist rate. To do so, the signals must be […]
A dynamical systems approach is taken to explain the dynamics of two classes of ‘gap-leaping’ geophysical flow as well as the hypersonic second-mode instability. First, in the context of a […]
