First year computer science PhD student at Stanford University
My research interests are broadly at the intersection of computer systems and machine learning (specifically computer vision). My current work focuses on building systems that explore the trade-off space between accuracy and throughput for deep neural network based visual queries on video.
I am first year PhD student at Stanford University studying computer science and rotating with Silvio Savarese. During my undergrad, I participated in the engineering dual degree program between Washington University in St. Louis and Drake University. I have an MS degree in computer science and three BS degrees in (1) computer engineering, (2) electrical engineering, and (3) computer science, mathematics and physics (triple major).
In my spare time, I run long-distance road races, competing mostly in marathons and half marathons. My most recent success was the San Francisco Marathon (mile 9, mile 19); I finished in 3:02:14, placing 68th of 6067 participants and 9th in my age division.
Daniel Kang, John Emmons, Firas Abuzaid, Peter Bailis, Matei Zaharia. "Optimizing Deep CNN-Based Queries over Video Streams at Scale". VLDB (under review). Mar. 2017. [pdf]
Hongyi Xin, Sunny Nahar, Richard Zhu, John Emmons, Gennady Pekhimenko, Carl Kingsford, Can Alkan, and Onur Mutlu. "Optimal Seed Solver: Optimizing Seed Selection in Read Mapping". Oxford Bioinformatics, Nov. 2015. [pdf][supp]
Hongyi Xin, John Greth, John Emmons, Gennady Pekhimenko, Carl Kingsford, Can Alkan, and Onur Mutlu. "Shifted Hamming Distance: A Fast and Accurate SIMD-Friendly Filter for Local Alignment in Read Mapping". Oxford Bioinformatics, Dec. 2014. [pdf]
Igor A. Ivanov, Anatoli S. Kheifets, Klaus Bartschat, John Emmons, Sean M. Buczek, Elena V. Gryzlova, and Alexei N. Grum-Grzhimailo. "Displacement effect in strong-field atomic ionization by an XUV pulse". Physical Review Letters A. Oct. 2014. [pdf]