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 film decorated with magnetic particles can be deformed locally with an external magnetic field. When these deformations are coupled with capillary force, small liquid drops […]
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 machine failure grows. We show that metal oxide additives in low-viscosity lubricants will form protective coatings, or tribofilms, in situ at contacting interfaces. Compared to […]
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 ACQUISITION GEOMETRY IN DIGITAL BREAST TOMOSYNTHESIS Date: Wednesday, July 17, 2024 Time: 10:00am Location: Reunion auditorium, JMB.
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 “Societies are complex systems. So, how to manage them?, to be given at 1 pm ET / 7 pm CET on Wednesday, July 17th. The […]
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 Medical Image Analysis Date: July 17, 2024, Wednesday Time: 2:30 PM to 4:40 PM Location: Towne Room 337 Zoom option: https://upenn.zoom.us/j/96378457553?pwd=Zf5UWdZmA87iVawEPnGmvMOOURbNDo.1 The public is welcome to […]
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) In this presentation, we introduce a methodology that utilizes both real and synthetic datasets (digital twins) to address the uncertainties associated with anomaly detection thresholds […]
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 interactions compared to bulk systems. Through self-assembly, liquid crystal (LC) mesophases offer a route to achieve nanostructured polymers, a promising alternative to traditional nanostructured inorganic […]
Abstract: Micro unmanned vehicles, defined as 25-gram to 5-kg in weight, are increasingly being utilized in applications such as search and rescue or agricultural monitoring. Such vehicles are typically powered with lithium-ion batteries. However, vehicle operational efficiency and capability are often compromised by the limited energy density of these batteries, resulting in short operational duration. […]
Multi-robot coordination and cooperation are critical behaviors that improve team performance and enable new tasks in application areas like autonomous construction, agriculture, and extended operation in large unknown regions. This dissertation examines these behaviors in the context of the multi-robot resource allocation problem, where robots must be allocated to regions of demand. In particular, we […]
Aluminum scandium nitride (AlScN), a ternary alloy by doping scandium into aluminum nitride (AlN), has circumspectly gained recognition through the last decade as one of the promised materials in forming the next generation radio frequency (RF) filters and resonators - core components in the wireless telecommunication systems that interconnect today’s world. This, coupled with the […]
