Abstract: In this talk, I’ll explore the power of a game-theoretic viewpoint in self-driving and in machine learning. We begin by considering the application of machine learning to Aurora’s advanced self-driving system in both perception and decision making. We discuss complexities that arise from multi-actor interaction. We then explore the, perhaps surprising, role a game-theoretic […]
The purpose of the seminar, Blindspot: Hidden Biases of Good People, is to reveal the surprising and even perplexing ways in which we make errors in assessing and evaluating others when we recruit and hire, onboard and promote, lead teams, undertake succession planning, and work on behalf of our clients or the public we serve. […]
Abstract: This thesis explores the development of a fingertip implantable MEMS tactile sensing system to provide tactile sensing capabilities for paralyzed people using a brain machine interface (BMI) technology. With the BMI-controlled stimulation, paralyzed people are able to restore hand movement with their native hands without sensation. However, sensory feedback for these BMI-controlled stimulators is […]
The Department of Bioengineering at the University of Pennsylvania and Dr. David Cormode are pleased to announce the Doctoral Dissertation Defense of Jessica Hsu. Title: Silver sulfide nanoparticles for breast cancer imaging with dual energy mammography and other modalities Date: April 16, 2021 Time: 1:30 pm (Eastern Time) Please join via the zoom link below: […]
Abstract: Virus infections remain major threats to human health worldwide. Viruses are intracellular parasites, and must enter host cells and deliver their genetic material to initiate infection. Virus entry is a highly complex process that may involve hundreds of trans-membrane and peripheral membrane proteins. This highly complex process is dictated by various events, such as […]
Monitoring cytokine profiles plays a crucial role in predictive and early disease diagnosis, as well as in research in many biological fields, thus multiple approaches have been investigated. Despite the promise of these techniques, many still require specialized instrumentation or have not been shown in real-time applications, impeding their clinical adoption as point-of-care systems. Impedance-based […]
Abstract: Coagulation testing is an important diagnostic tool for the detection of excessive bleeding risk or obstructive clot formation (thrombosis), using blood samples from patients. Microfluidic flow devices have been well established to provide insights on the impacts of shear rate, drug action, and disease state on coagulation and platelet biology. The bulk of the […]
The Department of Bioengineering at the University of Pennsylvania and Dr. David Cormode are pleased to announce the Doctoral Dissertation Defense of Johoon Kim. Title: Development of nanoparticle-based contrast agents for applications with conventional and photon-counting CT imaging Date/time: April 19, 2021 Time: 1:30pm You are invited to attend via zoom: Zoom link: https://upenn.zoom.us/j/94279939416
Understanding the relationships between the structure of polymer networks and their mechanical properties remains a long-standing challenge in polymer physics. In recent years, a new paradigm for network formation has emerged, whereby near-ideal hydrogels are produced by the cross-coupling of branched macromolecules with well-defined chain length. Such near-ideal networks constitute an excellent model system to […]
The Department of Bioengineering at the University of Pennsylvania and Dr. Dan Huh are pleased to announce the Doctoral Dissertation Defense of Andrei Georgescu. Title: Large scale integration of microengineered tissue models for high-content, high-throughput analysis of complex human physiological systems. Date: Tuesday April 20, 2021 Time: 2:00pm You are invited to attend via zoom: Zoom […]
Mobile robots are already in use for mapping, agriculture, entertainment, and the delivery of goods and people. As robotic systems continue to become more affordable, large numbers of mobile robots may be deployed concurrently to accomplish tasks faster and more efficiently. Practical deployments of very large teams will require scalable algorithms to enable the distributed […]