Mobile robots have shown significant advancements in agility, intelligence, and efficiency over the past few decades. However, their endurance and overall performance remain limited by the onboard power supplies. Current […]
Abstract: It is crucial for chemical and manufacturing industries to ensure safe and reliable operation of their plants and processes, by mitigating safety issues (e.g., extreme operating conditions) and reliability […]
Machine learning has been widely adopted to medical imaging research, yet it suffers from domain shift for real world applications. Due to the heterogeneity of medical data, machine learning-based diagnostic […]
Graphs are powerful mathematical tools that enable modeling of complex systems. Graph machine learning exploits possibly unknown data structures, which provides a unified approach to tackle a wide variety of […]
This talk will present a brief overview of advances in ferroelectric devices and their integration into computing systems to provide novel functionality and energy efficiency in various data intensive applications. […]
I plan to tell two short stories. The first story is about a new drop fluidics that uses a deformable and stretchable elastomeric film as the platform. Such a soft […]
Machinery relies on lubrication to regulate the friction and wear at contacting interfaces. As new lubricants become less viscous to comply with environmental and cost-saving standards, the risk of surface-initiated […]
The Department of Bioengineering at the University of Pennsylvania and Dr. Andrew Maidment are pleased to announce the Doctoral Dissertation Defense of Chloe Jeongin Choi. Title: INVESTIGATION OF IMAGE QUALITY SPATIAL DEPENDENCY IN RELATION […]
To kick off the IC2S2 conference being held right here at the University of Pennsylvania, we warmly invite you to join us for Dirk Helbing’s (ETH Zurich) Virtual Keynote address […]
The Department of Bioengineering at the University of Pennsylvania and Dr. Jim Gee are pleased to announce the Doctoral Dissertation Defense of Yifan Wu. Title: Knowledge-Integrated Learning for AI in […]
These talks will be held jointly, with each talk 30 minutes each (1 hour total). Talk 1: "Optimizing Anomaly Detection for GenAI based Digital Twins of Wearable Data" (Uma Balakrishnan) […]
Abstract: Nanostructured materials with interconnected nanoscale structures have garnered significant attention due to the ability to precisely regulate molecular transport by tuning molecular-level properties and offering more functional interfaces for […]