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CIS & ESE Seminar: “Wireless Systems that See the Invisible with Machine Learning: Through-Wall Vision, Emotion Recognition, and Health Monitoring”

Zoom - Email CIS for link cherylh@cis.upenn.edu

Today, there is a huge interest in sensing technologies that can sense people and monitor their health. Yet, existing solutions require people to wear different sensors and devices on their bodies. In contrast, my research uses wireless signals to sense people without any physical contact. Wireless signals, which have been traditionally used for data communication, […]

CIS Seminar: “Communication Complexity, Quantum Computing and Optimization: New Connections and Insights”

Zoom - Email CIS for link cherylh@cis.upenn.edu

How much information flows through a system? This fundamental question is at the heart of communication complexity. Techniques from this field have turned out to be immensely powerful and fairly universal tools to understand the power of different kinds of algorithms. In this talk, I will describe new methods that I have developed to analyze […]

CBE Seminar: “Systems Biology of Glycosylation: Examples from Cancer Biology, Inflammatory Disease and SARS-CoV-2 Infection”

Zoom - Email CBE for link

Abstract Glycosylation is a common and complex post-translational modification that is orchestrated in all mammalian cells. Glycan structures thus formed either absolutely control or fine-tune various biological processes. These include the half-life of biologics in circulation, the rates of leukocyte-endothelial cell adhesion interaction during inflammation, tumorigenesis and the kinetics of cancer metastasis. The pattern of […]

Spring 2021 GRASP SFI: “Optimizing Orthoses: Challenges in predicting human performance”

https://upenn.zoom.us/j/96715197752

Abstract: Innovations in hardware and control have created a new class of orthoses or exoskeletons to augment and assist human movement. These designs enable forces and torques to be applied to nearly any segment of the body. However, predicting how an individual will adapt their movement in response to external assistance remains incredibly challenging. These […]

ODEI Spotlight: Cultivating Equity-Focused Institutional Change in University STEM Departments

Discipline-based education research has made great strides in understanding how to foster more equitable and effective teaching in science, technology, engineering, and mathematics (STEM). However, there still has yet to be widespread adoption of reforms in university STEM departments. Our project seeks to understand how departments can implement sustainable, large-scale changes to undergraduate education. While these […]

MSE Seminar: “Reaction-Diffusion Driven Pattern Formation in Thermosetting Polymers”

Reaction-diffusion processes are versatile, yet underexplored methods for manufacturing that provide unique opportunities to control the spatial properties of materials, achieving order through broken symmetry. The mathematical formalism and derivation of equations coupling reaction and diffusion were presented in the seminal paper by Alan Turing , which describes how random fluctuations can drive the emergence […]

ESE Seminar: “Engineering (Useful) Quantum Systems”

Zoom - Email ESE for Link jbatter@seas.upenn.edu

Quantum technologies have the potential to revolutionize sensing, communication, and computation. To realize this potential, it will be necessary to scale the size and complexity of engineered quantum systems by several orders of magnitude, without sacrificing coherence or fidelity. Trapped ion qubits provide unparalleled coherence and are a leading platform for current small-scale quantum technology […]

CIS Seminar: “Expanding the Reach of Fuzzing”

Zoom - Email CIS for link cherylh@cis.upenn.edu

Software bugs are pervasive in modern software. As software is integrated into increasingly many aspects of our lives, these bugs have increasingly severe consequences, both from a security (e.g. Cloudbleed, Heartbleed, Shellshock) and cost standpoint. Fuzzing refers to a set of techniques that automatically find bug-triggering inputs by sending many random-looking inputs to the program […]