CIS Seminar: “Data Discovery: Unleashing the Value of Data”

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

Organizations use only a small portion of all data they own. Consequently, most of the potential value is untapped. This happens because their analysts suffer a data discovery problem: when solving a task that requires data, analysts spend more time finding the relevant data than solving the task at hand. The core problem is that […]

ESE Seminar: “Confluence of Electromagnetics, Circuits and Systems Enables The Third Wireless Revolution”

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

Integrated circuits have fueled several revolutions that have deeply impacted modern society, including the computing revolution, the internet and the first two wireless revolutions. We are at the dawn of the third wireless revolution, which I call the Wireless Mobile Reality revolution. Over the next fifteen years, new wireless paradigms spanning from radio frequencies to […]

PICS Seminar: “Coupled Multiphysics Models of Cardiac Hemodynamics: From Fundamental Insights to Clinical Translation”

Room 401B, 3401 Walnut 3401 Walnut Street, Philadelphia, PA, United States

  Abstract: The mammalian heart has been sculpted by millions of years of evolution into a flow pump par excellence. During the typical lifetime of a human, the heart will beat over three billion times and pump enough blood to fill over 60 Olympic-sized swimming pools. Each of these billions of cardiac cycles is itself a […]

MEAM Seminar: “Nanoparticle Heating for Therapeutics, Regenerative Medicine and Diagnostics”

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

Gold and iron oxide nanoparticles have unique and tunable properties that allow transduction of optical (light), or radiofrequency (RF) electromagnetic fields to affect heating of biomaterials at multiple scales. This talk will explore the underlying physics and relative advantages of each form of nanoparticle heating for therapeutic treatment of cancer or other disease by heating […]

CIS Seminar: “Security for All: Modeling Structural Inequities to Design More Secure Systems”

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

Users often fall for phishing emails, reuse simple passwords, and fail to effectively utilize "provably" secure systems. These behaviors expose users to significant harm and frustrate industry practitioners and security researchers alike. As consequences of security breaches become ever more grave, it is important to study why humans behave seemingly irrationally. In this talk, I […]

CIS Seminar: ” Natural language to structured knowledge representations”

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

Computing machinery such as smartphones are ubiquitous, and so will be smart home appliances, self-driving cars and robots in the near future. Enabling these machines with natural language understanding abilities opens up potential opportunities for the broader society to benefit from, e.g., in accessing the world’s knowledge, or in controlling complex machines with little effort. […]

John A. Quinn Distinguished Lecture: “Some Uses and Misuses of Equilibrium Thermodynamics”

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

We will discuss a number of legitimate and of wrongful applications of the Second Law of Thermodynamics, in particular, in the screening of chemical processes. We consider how ideas of equilibrium thermodynamics and statistical mechanics can be of value in some non-equilibrium situations, particularly in the cases of very slow diffusion and reaction.

CIS Seminar: “Machine Learning: Why Do Simple Algorithms Work So Well?”

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

While state-of-the-art machine learning models are deep, large-scale, sequential and highly nonconvex, the backbone of modern learning algorithms are simple algorithms such as stochastic gradient descent, or Q-learning (in the case of reinforcement learning tasks). A basic question endures---why do simple algorithms work so well even in these challenging settings? This talk focuses on two […]