MSE Thesis Defense: “Ultra-High-Resolution Patterning and Pattern Transfer via Nanocrystal Colloidal Lithography”

https://upenn.zoom.us/j/96715197752

The ability to design, pattern, and process materials at the nanoscale has enabled vast research opportunities ranging from fundamental science to technological applications and device integration. The continued development of nanoscience and nanotechnology relies upon pushing the limits of nanoscale fabrication capabilities. After decades of development, this frontier has moved to the sub-10 nm length […]

BE Doctoral Dissertation Defense: “Novel design strategies for engineering biliverdin-binding fluorescent proteins” (Michael Magaraci)

Room 337, Towne Building 220 South 33rd Street, Philadelphia, PA, United States

The Department of Bioengineering at the University of Pennsylvania and Dr. Brian Chow are pleased to announce the Doctoral Dissertation Defense of Michael Magaraci. Title: Novel design strategies for engineering biliverdin-binding fluorescent proteins Date: Friday, November 19, 2021 Time: 10:00 AM (EST) Location: Towne 337 and via Zoom at the link below:  https://upenn.zoom.us/j/98253474334?pwd=MXNQMWR2dWlXU2dZc0ZHb0FhV0Z0Zz09 The public is welcome […]

GRASP on Robotics: “Learning and Influencing Conventions in Interactive Robotics”

Wu and Chen Auditorium (Room 101), Levine Hall 3330 Walnut Street, Philadelphia, PA, United States

*This will be a HYBRID Event with in-person attendance in Wu & Chen Auditorium and Virtual attendance via Zoom Webinar here.  There have been significant advances in the field of robot learning in the past decade. However, many challenges still remain when studying how robot learning can advance interactive agents such as robots that collaborate […]

MEAM PhD Thesis Defense: “High Throughput Immunospecific Detection and Analysis of Subcellular Nanomaterials at the Single Particle Level”

Wu and Chen Auditorium (Room 101), Levine Hall 3330 Walnut Street, Philadelphia, PA, United States

Extracellular vesicles (EVs) have shown great potential in diagnostics, therapeutics, and have been discovered to play a key role in intercellular communication. The study of EVs in biological fluids has proven challenging due to the nanoscale size of EVs (30 nm-1 µm diameter), the enormous quantity of EVs present in clinical samples (e.g. 10E10/mL), and […]

ODEI Spotlight: SWE Headshots on Smith Walk

SWE Headshots | November 20, 3-4 pm | On Smith Walk (between Towne and Hayden Hall near the Penn Engineering Banner) Come get a professional headshot taken on Saturday, November 20th (rain date Sunday, November 21st)! Headshots will be taking place on Smith Walk (between Towne and Hayden Hall near the Penn Engineering Banner) from […]

ESE Ph.D. Thesis Defense: “Computer-aided Clinical Trials for Medical Devices”

Zoom - Meeting ID 916 4694 2571

Life-critical medical devices require robust safety and efficacy to treat patient populations with potentially large inter-patient and intra-patient variability. Today, the de facto standard for evaluating medical devices is the randomized clinical trial. However, even after years of device development many clinical trials fail. For example, in the Rhythm ID Goes Head to Head Trial […]

ESE Fall Colloquium Seminar – “New Materials for Three Dimensional Ferroelectric Microelectronics”

Zoom - Meeting ID 954 7393 2132 PA, United States

In the last decade, there have been major changes in the families of ferroelectric materials available for integration with CMOS electronics.  These new materials, including Hf1-xZrxO2, Al1-xScxN, Al1-xBxN and Zn1-xMgxO, offer the possibility of new functionalities. This talk will discuss the possibility of exploiting the 3rd dimension in microelectronics for functions beyond interconnects, enabling 3D […]

CIS Seminar: “From Seeing to Doing: Understanding and Interacting with the Real World”

Visual intelligence is a cornerstone of intelligence, for both humans and machines. In this talk, I go over a number of research work by our group on the topics of visual perception and robotic learning. The guiding principle of our work is inspired by the Gibsonian belief that perceptual and robotic learning should be based […]