This is a hybrid event with in-person attendance in Levine 307 and virtual attendance on Zoom. ABSTRACT Countless science fiction works have set our expectations for small, mobile, autonomous robots […]
The ability to modulate pathogenic proteins represents a powerful treatment strategy for diseases. Unfortunately, many proteins are considered "undruggable" by small molecules, and are often intrinsically disordered, precluding the usage […]
In this talk we will discuss how to engineer the dispersion relation of photonic platforms to provide robust propagation of classical and quantum states of light. In the first part […]
This is a HYRBID event with a VIRTUAL SPEAKER. The GRASP on Robotics Seminar will be streamed for in-person attendees in Wu and Chen and virtual attendees may join the […]
Many microorganisms and cells function in complex (non-Newtonian) fluids, which are mixtures of different materials that exhibit both viscous and elastic stresses. For example, mammalian sperm swim through cervical mucus […]
Recent years have witnessed tremendous growth in the capabilities of legged robots, with quadrupeds and humanoids demonstrating athletic behaviors that even five years ago were out of reach. Likewise, actively […]
The Department of Bioengineering at the University of Pennsylvania and Dr. Dennis Discher are pleased to announce the Doctoral Dissertation Defense of Michael Tobin. Title: Physiologically Induced High Gaussian Curvature Drives […]
The Department of Bioengineering at the University of Pennsylvania and Dr. Max Kelz are pleased to announce the Doctoral Dissertation Defense of Andrzej Wasilczuk Reversing Engineering the Anesthetic State: Insights […]
ABSTRACT: Algorithm audits are powerful tools for studying black-box systems without direct knowledge of those systems’ inner workings. While they have been effectively deployed to identify harms and biases in […]
This is a hybrid event with in-person attendance in Levine 307 and virtual attendance on Zoom. ABSTRACT Soft and continuum robots have immense potential to assist humans with tasks that […]
In this talk, we explain different roles that symmetries and approximate symmetries can play in machine learning models. We define approximately equivariant graph neural networks and we show a bias-variance […]
The Department of Bioengineering at the University of Pennsylvania and Dr. Arjun Raj are pleased to announce the Doctoral Dissertation Defense of Sam Reffsin. Title: Mapping variable host gene expression […]