The Department of Bioengineering at the University of Pennsylvania and Dr. Rahim Rizi are pleased to announce the Doctoral Dissertation Defense of Faraz Amzajerdian. Title: "Development of Hyperpolarized Xenon-129 Imaging Approaches […]
Rocket propulsion systems push the limits of our understanding and applications of science, engineering, and manufacturing. With every new mission requirement there is need for innovations in the design, modeling […]
This is a virtual event with virtual attendance on Zoom. ABSTRACT Foundation models that connect vision and language have recently shown great promise for a wide array of tasks such […]
The Department of Bioengineering at the University of Pennsylvania along with Drs. Chamith Rajapakse and Felix Wehrli are pleased to announce the Doctoral Dissertation Defense of Brandon Jones. Title: "MRI Quantification of Cortical […]
ABSTRACT: As the sizes of Large Language Models (LLMs) continue to grow exponentially, it becomes imperative to explore novel computing paradigms that can address the dual challenge of scaling these […]
The Department of Bioengineering at the University of Pennsylvania and Dr. Ophir Shalem are pleased to announce the Doctoral Dissertation Defense of Saranya Santhosh Kumar. Title: Exploring the cell biology of […]
Neuroscience datasets are expanding rapidly in both size and volume. However, integrating information across diverse datasets to form a unified understanding of brain function remains challenging. In this talk, I […]
The Department of Bioengineering at the University of Pennsylvania and Dr. Carl June are pleased to announce the Doctoral Dissertation Defense of David Mai. Date: January 22, 2024 Time: 1PM EST Title: Harnessing Regnase-1 […]
One of the major challenges in robotics is controlling micromanipulation by active and adaptive materials. Existing delivery technologies often suffer from limited navigation control, low speeds, and proneness to environmental […]
ABSTRACT: We propose and demonstrate a novel approach to training image classification models based on large collections of images with limited labels. We take advantage of availability of radiology reports […]
