Micro Top Picks are given to the best papers from across the best conferences in computer architecture (ISCA, Micro, ASPLOS, etc.). Our paper, “Sapper: A Language for Hardware-Level Security Policy Enforcement”, received an honorable mention. Congrats to all of the authors: Xun Li (Facebook), Vineeth Kashyap (UCSB), Jason Oberg (UCSD), Mohit Tiwari (UT Austin), Vasanth Ram (UCSB), Ryan Kastner (UCSD), Tim Sherwood (UCSB), Ben Hardekopf (UCSB), and Fred Chong (UCSB).
It may seem like science fiction, but we showed that it is possible to use sensors to monitor your brain waves and quickly detect underwater mines in sonar images. We combined techniques from computer vision with cutting edge classification of focal interest of human operators via electroencephalography (EEG) analysis, i.e., the recording of electrical activity along the scalp. This is the first approach for using EEG in this application.
These ideas are detailed in our upcoming journal paper, “A Brain-Computer Interface (BCI) for the Detection of Mine-Like Objects in Side Scan Sonar Imagery”, that has been accepted as a full article in the Journal of Oceanic Engineering. Congrats are in order to the authors: Christopher Barngrover, Alric Althoff, Paul DeGuzman, and Ryan Kastner. Special thanks to Neuromatters for the support with the EEG analysis tools and to Advanced Brain Monitoring for the use of the EEG sensors and hardware. The picture shows Dr. Chris Barngrover stylishly sporting the EEG cap at Neuromatters in New York City.
Ruku – a robotic Rubik’s Cube solver – started a Kickstarter campaign. They are aiming to raise funding to develop their robotic platform as a way to motivate K-12 students to participate in science, technology, engineering, and math (STEM). The project was started by Daryl Stimm. He recruited Jonas Kabigting and Will Mutterspaugh to help him realize the project during Ryan’s CSE 145. They are aiming to raise $50,000 which will enable them to move this into larger production. We wish them the best of luck in their fundraising and future endeavors!
UCSD TV recently debuted the latest in the “Computing Primetime” series – 30 minute conversation between Ryan and Albert Lin. They discuss the Engineers for Exploration program, provide stories from field expeditions surveying Maya sites in Guatemala, and give opinions on the role of computing and engineering in understanding cultural heritage and the environment.
Our work on high speed cell sorting was one of three research projects discussed in a “Looking at Machine Vision” article recently published in the IEEE Signal Processing Magazine. This work is building a hardware accelerated system to classify cells as they pass through a microfluidic device. The image processing must handle 10,000+ frames/second, while accurately detecting the type of cell. We originally developed the algorithms based upon work in Prof. Dino DiCarlo’s lab at UCLA. We are now working with the startup Cytovale to develop a commercial system based upon our initial technology.
Janarbek was selected to attend and present a poster at Amazon’s Graduate Research Symposium. The symposium brings together graduate students from around the country to Amazon headquarters in Seattle, WA. Janarbek will present his research on easing the design process for building hardware accelerated applications.
The Kinect is a powerful tool for creating 3D models, and making a low power, real-time version has substantial impacts for robotics and virtual reality. Our recent work in this space used the new OpenCL API from Altera to implement portions of the algorithm on an FPGA. This is an important first step towards a mobile version of the Kinect Fusion 3D mapping algorithm. This research was accepted to the International
Conference on Field-Programmable Technology (FPT) held in Shanghai, China in December. The work was authored by Quentin Gautier, Alexandria Shearer, Janarbek Matai, Dustin Richmond, Pingfan Meng, and Ryan Kastner.
The picture shows the 3D reconstruction of our messy shelves in the student offices at UCSD. The left part shows the “normal” camera input. The center images is the depth map, and the right images is the 3D model. This demo runs on an FPGA.
Before the start of Fall Quarter, the group trekked up to Mammoth Lakes, CA (Eastern Sierras), home of endless scenery, breathtaking activities (not only due to 9000+ ft of elevation), and enlightening research talks. Each of us choose different activities during that day, ranging from hiking, mountain biking, fishing, and climbing, and came together in the evenings for discussions on past and future research directions. Add in a bit of bagpipe playing, pool shooting, card games and some beverages, and it was a great trip. Our group activity this year was a hike to the top of Lembert Dome in the Tuolumne Valley in Yosemite National Park, where we took in the amazing view and a research group picture. We invite you to find another research group with a better picture. We doubt you will be successful.
Kastner Group members Dustin Richmond, Perry Naughton, and Ryan Kastner were among a group of researchers documenting cultural heritage at the Maya site El Zotz in the Peten region of Guatemala. The team, which also included members from Engineers for Exploration and the Explorers Club, used ground lidar, imagery from unmanned aerial vehicles, and structure from motion to provide precise data of the temples, stelae, bowls, tunnels, and masks throughout the site from the Early Classic period. The site is named “Zotz” (the Maya name for “bat”) after the thousands of bats that emerge every night from a nearby cliff. Our team was also able to provide a 3D image of that cliff and determine the location of the bat cave. Additionally, we created 3D models of the excavated tunnels beneath two the main temples, El Diablo and M7-1.
After getting the blessing from the Guatemalan government, the results of these expeditions were written up by Calit2, put on the front page of the UCSD website and the Jacobs School website, picked up by Phys.org, Gizmodo, and International Business Times.
The US Patent Office recently issued patent number US 8,812,285 B2 to our research group for work related to developing application specific processors. The patent was awarded to Dr. Ali Irturk and Ryan, and is licensable through the UCSD Technology Transfer Office. The patent covers material related to Ali’s PhD thesis, which took a general purpose processor, analyzed a set of applications that would run upon it, and removed unnecessary components in order to reduce the complexity, save power, and increase the performance.