My interest in computer vision started with a summer at a National Science Foundation Research Experience for Undergraduates where I researched applications of deep learning to tracking, and continued as an intern at Apple as a software engineer focusing on computer vision and machine learning research. I am currently focusing on vision and graphics, currently working with Professor James Hays on image to sketch generation.
(516) 726 - 0993
sichen [at] gmail.com Washington, DC 20052 USA
PhD Student in Computer Science • 2012 - 2016
Bachelor of Science in Computer Science, Minor in Music • 2012 - 2016
Dean's Scholar: Recipient of the highest merit scholarship from the School of Engineering and Applied Sciences. University Honors Program: A set of liberal arts focused supplementary courses that encourage connections between philosophy, art, and the sciences.
Summer Research Program Intern • June 2016 - August 2016
G104: Intelligence & Decision Technologies Group, Leveraged multi-network deep learning for person re- identification across multiple camera views. Conducted ablation study to better intuit the effects of parameter training, hard negative mining, and feature vs. neighborhood feature difference on Siamese networks.
Technology & Entrepreneurship Research • May 2015 - Present
Analyzing American and Russian models of technological innovation such as Silicon Valley and Skolkovo. Using econometrics and qualitative social studies to understand the variables driving entrepreneurship and innovation in naturally and artificially formed clusters of innovation. Creating a paired comparison of various clusters of innovation to suggest ideal models for encouraging innovation in the US, Russia, and in both naturally and artificially formed innovation centers.
Software Engineering Intern • May 2015 - August 2015
Researched problems at the intersection of computer vision and machine learning to create a feature that is currently being expanded. iContest Finalist: Participated in an Apple hackathon, presented a novel feature to a jury of managers.
Research Fellow • May 2014 - August 2014
Advisors: Dr. Mubarak Shah & Dr. Niels de la Vitoria Lobo University of Central Florida, Center for Research in Computer Vision Created Deep Tracking, which improved state of the art tracking performance by over 12% with the application of deep learning techniques to the fundamental challenge of tracking. Introduced motion and appearance dual-flow convolutional neural networks to tracking. Created a novel approach to scale change that is feature-dependent, rather than scale-dependent. This research will be submitted to CVPR and the submission can be viewed here.
Genetics & Breast Cancer Research • 2011 - 2012
Advisors: Dr. Sidney Fu Analyzed the role of microRNA-298 regulating genetic expression in breast cancer with genetic sequencing.
Genetics & Neuroscience Research • 2011 - 2012
Advisors: Dr. Zaven Kaprielian & Dr. Hannes Buelow Isolated the rz-1 mutation, which is responsible for extreme dendritic abnormalities, in C. elegans strains. Used genetic sequencing to find the gene responsible for the mutation. Chronicled its effects on dendritic formation as a preliminary model for understanding Fragile X Syndrome.
Visual Cognitive Psychology Research • 2010 - 2011
Advisors: Dr. Marisa Carrasco & Dr. David Carmel Studied the effect of attention cues on memory within the phenomenon of Boundary Extension.
CS1010: Introduction to Computer Science • Fall 2015
Assist students in lecture and lab sessions, guiding them through building their final robotics project. Introduce students to new ideas in computer science and algorithmic concepts.
School of Engineering & Applied Sciences Scholarship • 2012 - 2016
GW Program of Academic Merit • 2012 - 2016
Grace Hopper Celebration, Student Research Competition • October 2015
Award for arts-related travel. • 2015
Award for travel to Russia for research. • 2015
Travel scholarship from Facebook. • 2015
Travel scholarship from Google. • 2014