The Department of Bioengineering at the University of Pennsylvania and Dr. Marco Ruella are pleased to announce the Doctoral Dissertation Defense of Puneeth Guruprasad. Title: Decoding the tumor microenvironment […]
Many natural materials achieve excellent combinations of mechanical properties through their micro- and nano-scale structures, which leverage a level of complexity currently unmatched in engineering design. Recent advances in digital […]
This is a hybrid event with in-person attendance in Wu and Chen and virtual attendance on Zoom. PANEL DISCUSSION Please join us for a lively panel discussion featuring GRASP Faculty […]
The Department of Bioengineering at the University of Pennsylvania and Dr. Alex Hughes are pleased to announce the Doctoral Dissertation Defense of John Viola. Title: Sculpting native and de novo tissue geometries for kidney organogenesis […]
Abstract: Soft jammed materials are disordered viscoelastic solids, composed of densely packed particles, that are commonly found both in the natural world and in a wide range of manufactured products. […]
Global reliance on cloud services, powered by transformative technologies like generative AI, machine learning, and big-data analytics, is driving exponential growth in demand for hyperscale cloud compute infrastructure. Meanwhile, the […]
Finite element models provide a valuable tool for studying disease progression, risk of tissue failure, or repair strategies. To date, many models for biological tissues employ hyperelastic material descriptions with […]
The Department of Defense (DoD)’s Basic Research Office (BRO) sets scientific priorities aimed toward ensuring DoD is a leader in scientific discovery and identifying new paths for investigation. The office […]
Large Language Models (LLMs) have brought remarkable advancements to the computing industry. However, a high barrier exists between the LLMs and the vast majority of researchers and practitioners, brought by […]
The growing complexity and heterogeneity of networked systems have spurred a plethora of machine learning (ML) solutions, each promising a tantalizing improvement in performance. However, their path to real-world adoption […]
