Over time, the energy cost of computation has steadily fallen due to progressive advances predicted by Moore’s Law, while the energy cost of communication remains fundamentally limited by the signal power required to overcome noise and interference at the receiver. Across a diverse space of power-limited wireless devices, including sensor …
Many real-world phenomena can be represented by a spatio-temporal signal: where, when, and how much. Social media is a tantalizing data source for those who wish to monitor such signals. Unlike most prior work, we assume that the target phenomenon is known and we are given a method to count …
**** Ke Shen: Title: Enhanced Face Recognition using Message-Passing Algorithm Abstract: The goal of this project is to develop theories and algorithms to facilitate large-scale, unconstrained identity discovery, using images containing faces where the individuals belong to various social networks. By exploiting the contextual information from multiple photos and other …
What does the world look like at a trillion frames per second? Creative use of high-end laboratory equipment allows us to capture high resolution 2D videos of repetitive events with an effective time resolution of 2 picoseconds. In these videos, light moves less than one millimeter in each frame. The …
A significant challenge in biomechanical simulations is the handling of complex routing and contact constraints between muscles, tendons, and bones. I will discuss the constrained strand framework, which has been developed for the simulation of thin solids, with special focus on biomechanical simulations. In particular, I will discuss the importance …
Title: Atomic Norm Denoising with Applications to Line Spectral Estimation by Badri Narayan Bhaskar The sub-Nyquist estimation of line spectra is a classical problem in signal processing, but currently popular subspace-based techniques have few guarantees in the presence of noise and rely on a priori knowledge about system model order. …
Title: Canonical Estimation in a Rare-Events Regime by Vincent Tan Abstract: We propose a general methodology for performing statistical inference within a `rare-events regime’ that was recently suggested by Wagner, Viswanath and Kulkarni. Our approach allows one to easily establish consistent estimators for a very large class of canonical estimation …
Title: Active Ranking using Pairwise Comparisons by Kevin Jamieson This talk examines the problem of ranking a collection of objects using pairwise comparisons (rankings of two objects). In general, the ranking of n objects can be identified by standard sorting methods using n log2 n pairwise comparisons. We are interested …
Meg Mitchell creates work in diverse media from video, to performance, digital media and interactive installations. She uses humor to subvert formalist interpretations of her work, and to play with the boundaries between the conceptual and the physical spaces her work occupies. Mitchell borrows from a diverse range of sources …
Title: Metamaterial Lens Modeling for mm-wave MIMO Communications by John Brady The capacity requirements of wireless communications are expanding rapidly with the proliferation of consumer wireless devices. Millimeter wave communication systems are uniquely suited to high data-rate applications not only due to large bandwidths but also small wavelengths that enable …