ESE Seminar: “Liquid Silicon: A New Computing Paradigm Enabled by Monolithic 3D Cross-Point Memory”

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

Almost every subfield of electrical engineering and computer science are undergoing disruptive times. With Moore's Law coming to an end, an expanded roadmap for semiconductors beyond traditional CMOS scaling becomes unclear. At the other end, traditional application software development is being replaced by emerging machine learning techniques whose success will, in turn, rely on the […]

ESE Seminar: “Local Geometric Spectral Data Analysis”

Berger Auditorium (Room 13), Skirkanich Hall 210 South 33rd Street, Philadelphia, PA, United States

Modern technological developments have enabled the acquisition and storage of increasingly large-scale, high-resolution, and high-dimensional data in many fields. Yet in domains such as biomedical data, the complexity of these datasets and the unavailability of ground truth pose significant challenges for data analysis and modeling. In this talk, I present new unsupervised geometric approaches for […]

MEAM Seminar: “Fluid Mechanics and Turbulence in Extended Wind Farms”

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

In this presentation we discuss several properties of the flow structure and turbulence in the wind turbine array boundary layer (WTABL). This particular type of shear flow develops when the atmospheric boundary layer interacts with an array of large wind turbines. Based on such understanding, we aim to develop reduced order, analytically tractable models. These […]

CIS Seminar: “Visualization for People + Systems”

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

Abstract: While computers can help us manage data, human judgment and domain expertise is what turns it into understanding. Meeting the challenges of increasingly large and complex data requires methods that richly integrate the capabilities of both people and machines. In response to these challenges, my research combines methods from visualization, data management, human-computer interaction, […]

CIS Seminar: “Deep Learning Models for Language: What they learn, where they fail, and how to make them more robust”

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

Abstract: Deep learning has become pervasive in everyday life, powering language applications like Apple’s Siri, Amazon’s Alexa, and Google Translate. The inherent limitation of these deep learning systems, however, is that they often function as a “black box,” preventing researchers and users from discerning the roles of different components and what they learn during the […]