EE Student Information

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EE Student Information, Spring Quarter through Academic Year 2020-2021: FAQs and Updated EE Course List.

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SCIEN Talk

SCIEN presents "Imaging a Black Hole with the Event Horizon Telescope"

Topic: 
Imaging a Black Hole with the Event Horizon Telescope
Abstract / Description: 

This talk will present the methods and procedures used to produce the first results from the Event Horizon Telescope. It is theorized that a black hole will leave a "shadow" on a background of hot gas. Taking a picture of this black hole shadow could help to address a number of important scientific questions, both on the nature of black holes and the validity of general relativity. Unfortunately, due to its small size, traditional imaging approaches require an Earth-sized radio telescope. In this talk, I discuss techniques we have developed to photograph a black hole using the Event Horizon Telescope, a network of telescopes scattered across the globe. Imaging a black hole's structure with this computational telescope requires us to reconstruct images from sparse measurements, heavily corrupted by atmospheric error.

Date and Time: 
Wednesday, April 17, 2019 - 4:45pm
Venue: 
Hewlett 200

SCIEN presents "syGlass: Visualization, Annotation, and Communication of Very Large Image Volumes in Virtual Reality"

Topic: 
syGlass: Visualization, Annotation, and Communication of Very Large Image Volumes in Virtual Reality
Abstract / Description: 

Scientific researchers now utilize advanced microscopes to collect very large volumes of image data. These volumes often contain morphologically complex structures that can be difficulty to comprehend on a 2D monitor, even with 3D projection. syGlass is a software stack designed specifically for the visualization, exploration, and annotation of very large image volumes in virtual reality. This technology provides crucial advantages to exploring 3D volumetric data by correctly leveraging neurological processes and pipelines in the visual cortex, reducing cognitive load and search times, while increasing insight and annotation accuracy. The talk will provide a brief overview of new microscope technology, a description of the syGlass stack and product, some real use-cases from various labs around the world, and conclude with predictions and plans for the future of scientific communication.

Date and Time: 
Wednesday, April 3, 2019 - 4:30pm
Venue: 
Packard 101

SCIEN Colloquium and EE292E present "Fundamental Limits of Cell Phone Cameras"

Topic: 
Fundamental Limits of Cell Phone Cameras
Abstract / Description: 

For the vast majority of people in the world, the best camera they have ever owned is in their current cell phone. Sales of phone camera modules approached $30 billion in 2018, almost three times the sales of all lasers, and will soon exceed four times the sales of all lasers. This is one of the most ubiquitous and successful optical devices ever. Fundamental laws of physics limit the performance of smartphone cameras, and these laws act against the marketing-driven aspiration for thinner and thinner camera modules. I shall show that the single most important optical parameter is the lens diameter D.

Date and Time: 
Wednesday, March 6, 2019 - 4:30pm
Venue: 
Packard 101

SCIEN Colloquium and EE292E present "Burst photography in practice"

Topic: 
Burst photography in practice
Abstract / Description: 

Mobile photography has been transformed by software. While sensors and lens design have improved over time, the mobile phone industry relies increasingly on software to mitigate physical limits and the constraints imposed by industrial design. In this talk, I'll describe the HDR+ system for burst photography, comprising robust and efficient algorithms for capturing, fusing, and processing multiple images into a single higher-quality result. HDR+ is core imaging technology for Google's Pixel phones - it's used in all camera modes and powers millions of photos per day. I'll give a brief history of HDR+ starting from Google Glass (2013), present key algorithms from the HDR+ system, then describe the new features that enable the recently released Night Sight mode.

Date and Time: 
Wednesday, February 27, 2019 - 4:30pm
Venue: 
Packard 101

SCIEN Colloquium presents Deep Learning Meets Computational Imaging: Combining Data-Driven Priors and Domain Knowledge

Topic: 
Deep Learning Meets Computational Imaging: Combining Data-Driven Priors and Domain Knowledge
Abstract / Description: 

Neural networks have surpassed the performance of virtually any traditional computer vision algorithm thanks to their ability to learn priors directly from the data. The common encoder/decoder with skip connections architecture, for instance, has been successfully employed in a number of tasks, from optical flow estimation, to image deblurring, image denoising, and even higher level tasks, such as image-to-image translation.

To improve the results further, one must leverage the constraints of the specific problem at hand, in particular when the domain is fairly well understood, such as the case of computational imaging.

In this talk I will describe a few of my recent projects that build on this observation, ranging from reflection removal, to novel view synthesis, and deblurring.

Date and Time: 
Wednesday, February 20, 2019 - 4:30pm
Venue: 
Packard 101

SCIEN Colloquium presents Digital Humans At Disney Research

Topic: 
Digital Humans At Disney Research
Abstract / Description: 

Disney Research has been actively pushing the state-of-the-art in digitizing humans over the past decade, impacting both academia and industry. In this talk I will give an overview of a selected few projects in this area, from research into production. I will be talking about photogrammetric shape acquisition and dense performance capture for faces, eye and teeth scanning and parameterization, as well as physically based capture and modelling for hair and volumetric tissues.

Date and Time: 
Wednesday, February 13, 2019 - 4:30pm
Venue: 
Packard 101

SCIEN Colloquium presents Microscopic particle localization in 3D and in multicolor

Topic: 
Microscopic particle localization in 3D and in multicolor
Abstract / Description: 

Precise determination of the position of a single point source (e.g. fluorescent molecule/protein, quantum dot) is at the heart of microscopy methods such as single particle tracking and super-resolution localization microscopy ((F)PALM, STORM). Localizing a point source in all three dimensions, i.e. including depth, poses a significant challenge; the depth of field of a standard high-NA microscope is fundamentally limited, and its pointspread-function (PSF), namely, the shape that a point source creates in the image plane, contains little information about the emitter's depth. Various techniques exist that enable 3D localization, prominent among them being PSF engineering, in which the PSF of a microscope is modified to encode the depth of the source. This is achieved by shaping the wavefront of the light emitted from the sample, using a phase mask in the pupil (Fourier) plane of the microscope.


In this talk, I will describe how our search for the optimal PSF for 3D localization, using tools from estimation theory, led to the development of microscopy systems with unprecedented capabilities in terms of depth of field and spectral discrimination. Such methods enable fast, precise, non-destructive localization in thick samples and in multicolor. Applications of these novel advances will be demonstrated, including super-resolution imaging, tracking biomolecules in living cells and microfluidic flow profiling. I will also present our most recent results: 1. Application of deep learning for solving difficult localization problems (high density, low SNR, multicolor imaging), and 2. Precise refractometry from minute volumes by super-critical-angle fluorescence.

Date and Time: 
Wednesday, February 6, 2019 - 4:30pm
Venue: 
Packard 101

SCIEN Colloquium presents Optical Super-resolution Microscopy with Spatial Frequency Shift

Topic: 
Optical Super-resolution Microscopy with Spatial Frequency Shift
Abstract / Description: 

Exploiting to see beyond the diffraction-limit of optical microscopies is of great significance. State-of-the-art solutions of super-resolution microscopy, like STED and STORM approaches, rely on the fluorescent effect of labeling samples. It is still challenging to obtain the super-resolution for unlabeling samples without fluorescent effect. To this end, we have developed a novel super-resolution method, called Spatial Frequency Shift (SFS), to realize the deep super-resolution with or without fluorescent effect in wide field imaging. The principle and the applications of this SFS technique will be presented.

Date and Time: 
Tuesday, February 5, 2019 - 10:00am
Venue: 
Packard 101

SCIEN Colloquium and EE292E present "Bottlenecks in Autonomy: The Last 1%"

Topic: 
Bottlenecks in Autonomy: The Last 1%
Abstract / Description: 

Accurate and reliable 3D perception is the key remaining bottleneck to making self-driving vehicles safe and ubiquitous. Today, it's relatively easy to get an autonomous car to work 99% of the time, but it's the incredibly long tail of edge cases that's preventing them from reaching real-world deployment without a backup driver constantly watching over. All of this comes down to how well the autonomous car can see and understand the world around it. The key to achieving accurate, safer-than-human level 3D perception all starts with the LiDAR. That said, both legacy LiDAR solutions and newer upstarts, which largely leverage off-the-shelf components, have still struggled to meet the stringent performance requirements needed to solve key edge cases encountered in everyday driving scenarios.
Luminar, founded in 2012 by Austin Russell, has taken an entirely new approach to LiDAR, building its' system from the ground up at the component level for over 5 years. The result was the first and only solution that meets and exceeds all of the key performance requirements demanded by Car/Truck OEM's and technology leaders to achieve safe autonomy, in addition to unit economics that can enable widespread adoption across even mainstream consumer vehicle platforms. This has culminated with last years' release of their first scalable product for autonomous test and development fleets, which has subsequently led to rapidly accelerating adoption in the market. During this talk, raw Luminar LiDAR data from autonomous test vehicles will be presented to the audience, demonstrating real world examples of life-threatening edge cases and how they can now be avoided.

Date and Time: 
Wednesday, January 30, 2019 - 4:30pm
Venue: 
Packard 101

SCIEN Colloquium presents "Leveraging lanthanide-based spectral encoding for highly multiplexed biological assays"

Topic: 
Leveraging lanthanide-based spectral encoding for highly multiplexed biological assays
Abstract / Description: 

Encoded microparticles have become a powerful tool for a wide array of applications, including high-throughput sample tracking and massively parallel biological multiplexing. Spectral encoding, where particles are encoded with distinct luminescence spectra, provides a particularly appealing encoding strategy because of the ease of reading codes and assay flexibility. We recently developed a microfluidic method for producing microparticles with > 1,100 spectral codes by ratiometrically embedding different amounts of lanthanide nanophosphorsn within them, which we term MRBLEs (Microspheres with Ratiometric Barcode Lanthanide Encoding). We are now applying these MRBLEs towards a wide variety of biological problems, from high-throughput and quantitative profiling of protein-peptide interactions to specific and sensitive detection of multiple bacterial species from blood for fast diagnosis of sepsis.

Date and Time: 
Wednesday, January 23, 2019 - 4:30pm
Venue: 
Packard 101

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