Robots often struggle to move through complicated environments from cluttered living spaces to treetop canopies where humans and animals flit with ease. Jumping is an exciting locomotion mode that can […]
The PICS Alumni Spotlight is an opportunity for current students to talk and network with alumni. These talks begin with the speaker discussing their education and career paths and then […]
Abstract The emergence of coordinated cellular, tissue, and organismal responses rely on complex biological networks. While the connectivity of the networks is increasingly defined, understanding the dynamics of the system […]
Seminar details forthcoming.
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 […]
Abstract: 3D printers are radically transforming the aerospace and automotive industries. Whole-garment knitting machines allow the automated production of complex apparel and shoes. Manufacturing electronics on flexible substrates enable a […]
The Penn Institute for Computational Science (PICS) will be hosting a Python workshop on Saturday, November 7 from 10:00am – 3:30pm via Zoom. This course is designed to be an […]
The Department of Bioengineering at the University of Pennsylvania and Dr. Walter Witschey are pleased to announce the Doctoral Dissertation Defense of Brianna Moon. The Defense will take place via […]
“Chromatin motion and DNA repair” Physical Sciences in Oncology Center PSOC@Penn Fall 2020 Webinar Series Mondays @ Noon (EST) For webinar links, please contact manu@seas.upenn.edu
Abstract: "Polymer nanoparticle composites (PNCs) have become an important topic of research due to their highly tunable macroscopic properties. Compared to the pure polymers, PNCs exhibit increase in mechanical strength, […]
Whereas human tissues and organs are mostly soft, wet and bioactive; machines are commonly hard, dry and biologically inert. Merging humans, machines and their intelligence is of imminent importance in […]
Classical and quantum photonics with superior properties can be implemented in a variety of old (silicon, silicon nitride) and new (silicon carbide, diamond) photonic materials by combining state of the […]