Lately there has been much talk in universities and the public about "the great disengagement." As we emerge from the pandemic era, many students and instructors alike are experiencing a […]
To design personalized treatment strategies, a number of measurable quantities (biomarkers) that relate a patient’s clinical representation to the existence, progress, and outcome of a disease need to be identified […]
ABSTRACT: Many regression and classification procedures fit a function f(x;w) of predictor variables x to data 〖{x_i,y_i}〗_1^N based on some loss criterion L(y,f(x;w)). Often, regularization is applied to improve accuracy […]
This is a hybrid event with in-person attendance in Levine 307 and virtual attendance via Zoom. This week's presenter will be in-person as well. ABSTRACT In this talk, I will […]
Interfaces in heterostructures often exhibit emergent physical properties that are absent in the constituent layers. These heterostructures, together with their compatibility with nanofabrication, are promising for constructing functional quantum devices. […]
The Department of Bioengineering at the University of Pennsylvania and Dr. Rebecca Wells are pleased to announce the Doctoral Dissertation Defense of Abigail Lonker. Title: Investigating the Role of Lipid […]
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Anomaly detection is a crucial task in the operation of complex systems such as industrial facilities, manufacturing plants, and large-scale science experiments. Failures in a sub-system can result in low […]
Millimeter-wave and terahertz bands are emerging as the most promising spectrum to meet the data-rate and latency demands of future wireless applications, including virtual reality and autonomous cars. Moreover, the […]
The Department of Bioengineering at the University of Pennsylvania and Dr. Louis Soslowsky are pleased to announce the Doctoral Dissertation Defense of Jaclyn Carlson. Title: Fibrillar Collagen Modulation of Extracellular […]
The development of approaches to design and manufacture complex 3D functional mesoscopic structures in advanced materials is a topic of increasing research interest. Previous options in forming 3D mesostructures are, […]
ABSTRACT: The training data that modern machine learning models ingest has a major impact on these models’ performance (as well as failures). Yet, this impact tends to be neither fully […]