Jiakai ZHANG Home Page: jiakaizhang.com, Email: zhjk@nyu.edu EDUCATION New York University, Department of Computer Science Ph.D. of Computer Science, GPA: 3.8/4.0 New York University, Department of Computer Science Master of Computer Science, GPA: 3.8/4.0 Tsinghua University, Department of Engineering Physics Bachelor of Engineering Physics, GPA: 3.5/4.0 New York, NY 09/2013 - Present New York, NY 09/2011 - 05/2013 Beijing, China 09/2007 - 07/2011 RESEARCH EXPERIENCE Local Image Descriptor 09/2014-12/2014 Co-researcher Arjun Jain, Jonathan Tompson, New York University  Trained a SIFT-like local image descriptor using Deep Convolutional Neural Network, which outperforms the state-of-the-art result Real-time Object Detector 06/2014-08/2014 Advisor Bernd Heisele, Alper Ayvaci, Vision Research Group, Honda Research Institute  Developed the real-time object detector using Deformable parts model (DPM) and GPU technology Motion Reconstruction Using iPhone Acceleration 11/2013-02/2014 Advisor Prof. Christoph Bregler, Arjun Jain, New York University  Reconstructed human motion sequences using iPhone acceleration and Kinect key frames in real time Real-time Facial Expression Tracking 05/2013-08/2013 Advisor Lance Williams, Graphics Research Group, NVIDIA  Created a facial expression tracker using Eigen faces and transferred the facial expression into a facial Blendshape model “Digital Ira” in real time  Implemented the dynamic textures mapping for facial expression to create convincing emotions 3D Human Shape Deformation Learning 09/2012-04/2013 Advisor Prof. Christoph Bregler, Prof. Hao Li, Movement Lab, New York University  Applied point to point registration between different human poses and different identities by using non-rigid Iteration Closest Point Algorithm  Trained pose and shape deformable models of human body by encoding muscles and implemented skeleton-based body shape deformation which can be driven by motion capture in real time Real-time 3D Reconstruction 03/2012-08/2012 Advisor Prof. Davi Geiger, Media Lab, New York University  Created detailed 3D reconstructions of an indoor scene using a moving Kinect camera  Implemented the GPU pipeline for Depth Map Conversion, Bilateral Filter, Camera Tracking (Iterative Closest Point algorithm), volumetric integration and ray casting by using CUDA language OTHER EXPERIENCE AND QUALIFICATIONS Teaching Assistant NYU: Computer Graphics, Computer Game, Multicore Processors, GPU, Operating System Programming Language C/C++/C#, Lua, CUDA, Java, OCaml, MATLAB, OpenCV, OpenGL