Events

May07

Dissertation Talk: On Systems and Algorithms for Distributed Machine Learning

521 Cory Hall
The advent of algorithms capable of leveraging vast quantities of data and computational resources has led to the proliferation of systems and tools aimed to facilitate the development and usage of these algorithms. Hardware trends, including the end of Moore's Law and the maturation of cloud computing, have placed a premium on the development of scalable algorithms designed for parallel...
May07

Dissertation Talk: Approximation and Hardness: Beyond P and NP

310 Soda Hall
  • Pasin Manurangsi, University of California, Berkeley
The theory of NP-hardness of approximation has led to numerous tight characterizations of approximability of hard combinatorial optimization problems. Nonetheless, there are many fundamental problems which are out of reach for these techniques, such as problems that can be solved (or approximated) in quasi-polynomial time...
May08

Dissertation Talk: Coded Illumination for Multidimensional Quantitative Phase Microscopy

Visual Computing Lab (VCL) Soda Hall
  • Michael Chen, UC Berkeley
Imaging biological samples under optical microscopes is challenging, since the absorption is too weak to form images with informative contrast. Besides fluorescent imaging techniques, label-free phase contrast imaging methods have been proposed to greatly improve the contrast of transparent samples. In order to efficiently recover quantitative properties, such as 2D phase projection and 3D...
May08

Dissertation Talk: Realization of Integrated Coherent LiDAR

299 Cory Hall
  • Taehwan Kim, UC Berkeley
LiDAR (Light Detection and Ranging) captures high-definition real-time 3D images of the surrounding environment, which makes it a crucial sensing modality for applications such as self-driving cars. However, high price tag of existing commercial LiDAR modules based on mechanical beam scanners and intensity-based detection scheme prohibits them from being extensively applied to consumer products....
May09

Dissertation Talk: Chip-Scale Fluorescence Microscope

490H (Immersion Room in Swarm Lab) Cory Hall
  • Efthymios Philip Papageorgiou
This talks presents a chip-scale fluorescence microscope for the detection of microscopic residual disease, small clusters of hundreds to thousands of cancer cells left behind after the gross tumor is removed during a surgical resection.
May10

EECS Student Awards

Sibley Auditorium, Bechtel Engineering Center
Each year the EECS Student Awards Committee selects winners for each of our department awards, many based on nominations gathered from EECS students, faculty and staff.
May10

Dissertation Talk: Expert-Level Detection of Acute Intracranial Hemorrhage on Head Computed Tomography using Deep Learning

Sutardja Dai Hall
  • WEICHENG KUO
Head CT is the workhorse medical imaging modality used worldwide to diagnose neurologic emergencies. We demonstrated state-of-the-art exam-level classification performance, comparable to that of U.S. board-certified radiologists, in addition to robust localization of abnormalities, both of which are important to this application.
May10

Dissertation Talk: Solving Hard Computational Problems using Oscillator Networks

540A/B Cory Hall
  • Tianshi Wang, UC Berkeley
Over the last few years, there has been considerable interest in Ising machines, ie, analog hardware for solving difficult (NP hard/complete) computational problems effectively. We present a new way to make Ising machines using networks of coupled self-sustaining nonlinear oscillators. Our scheme is theoretically rooted in a novel result that connects the phase dynamics of coupled oscillator...
May13

Dissertation Talk: A Hierarchical Approach to the Design and Optimization of Silicon Photonics

540A/B Cory Hall
  • Andrew Michaels
Silicon photonics is a rapidly maturing platform for optical communication and sensing. As systems leveraging silicon photonics have grown in size and complexity, so too has the demand for high performance silicon photonics components. In order to meet these demands, we propose a hierarchical approach to design and optimization of silicon photonics components. Our approach applies simple physical...