*This will be a HYBRID Event with in-person attendance in Wu & Chen Auditorium and Virtual attendance via Zoom Webinar here. The prevalent approach to object manipulation is based on the availability of explicit 3D object models. By estimating the pose of such object models in a scene, a robot can readily reason about how […]
Abstract: Computational fluid dynamics simulations and experiments were conducted to study the performance of distillation membrane process for water treatment and desalination applications. Polarizations and fouling/scaling in a direct contact membrane distillation module were examined. Laminar and turbulent flow regimes in the feed and permeate channels were considered. The hydrophobic membrane separates feed and permeate […]
This year marks the 40th anniversary of Penn Engineering's diversity efforts and we invite you to join us on Friday, December 3, at 3:00 p.m. EST to celebrate Penn Engineering’s new Office of Diversity, Equity, and Inclusion (ODEI), formerly known as the Office of Minority Programs. We plan to meet in Heilmeier Hall (Towne 100) […]
The fascinating diversity of material behavior at the macroscopic scale, including plasticity, phase transformations, viscoelasticity or diffusion, can only emerge from the underlying atomistic or particle behavior. Yet, the direct connection between these two scales for non-equilibrium phenomena remains an extremely challenging quest from both a theoretical and computational perspective. This knowledge gap currently hinders […]
Machine learning has dramatically enhanced the role of automated decision making across a variety of domains. There are three ingredients that are at the heart of designing of sound ML algorithms: data, learning architectures, and loss functions. In this talk, we focus on loss functions and the role of information theory in understanding the choice […]
Synthetic data has been advertised as a silver-bullet solution to privacy-preserving data publishing that addresses the shortcomings of traditional anonymisation techniques. The promise is that synthetic data drawn from generative models preserves the statistical properties of the original dataset but, at the same time, provides perfect protection against privacy attacks. In this work, we present the first […]
Lossy data compression is a vital, if hidden, enabling technology. This virtual seminar would be impossible without data compression! Existing compression standards for images and audio rely on a "classical" theory of compression that models sources as stationary Gaussian processes. This theory is quite mature, and it provides remarkable insights into how to compress Gaussian […]
Dr. Bansil will discuss some of his recent work aimed at understanding the electronic structure and spectroscopy of novel superconductors, topological materials, and atomically thin 2D films and battery materials. Illustrative examples will include: (i) How by exploiting electronic structure techniques we have been able to successfully predict and understand the characteristics of many new […]
This seminar will be held live and broadcast on zoom - check your email for the zoom link or contact ksas@seas.upenn.edu. Improved experimental model systems are critically needed to better understand cancer progression and bridge the gap between lab bench proof-of-concept studies, validation in animal models, and eventual clinical application. Many methods exist to create […]
The Department of Bioengineering at the University of Pennsylvania and Dr. Brian Chow are pleased to announce the Doctoral Dissertation Defense of Erin Berlew. Title: "Single-component optogenetic tools for cytoskeletal rearrangements" Date: Friday, December 10, 2021 Time: 10:00 AM Location: Towne 337 and Zoom Zoom information: ERIN BERLEW is inviting you to a scheduled Zoom […]
