Cheng Chen
Cell 201-***-****, Office 212-***-**** 14 Bliss Ave Apt R Tenafly,
NJ 07670 ***.****@*****.***
SUMMARY of SKILLS
. 6+ years experience in image processing/computer vision, machine learning
and pattern recognition algorithm designing
. 4+ years experience in embedded control system firmware designing
. 6+ years experience in C/C++, Linux, Matlab/Simulink, Assembly language.
EDUCATION
Ph.D. in Electrical Engineering
12/2008
Oklahoma State University, Stillwater, OK.
GPA: 3.78/4.00
Specialization: Image Processing/Computer Vision
Dissertation Title: "Human Object Detection, Tracking and Segmentation"
Master of Science in Mechatronics
04/1997
University of Electronic Science and Technology of China, Chengdu, China
GPA: 84/100
Specialization: Mechatronic System Control and Industrial Robot
Thesis Title: "Embedded Intelligent Electric Machines Speed Control
System"
Bachelor of Science in Mechanical Engineering
07/1992
Shenyang Institute of Technology, Shenyang, China
GPA: 81/100
Specialization: Machine Building Equipment and Manufacturing Process
Thesis Title: "Computer-Aided Process Planning (CAPP) for Revolving Parts"
WORK EXPERIENCE
Postdoctoral research associate in image processing
03/2009-Present
The City College of CUNY, New York City, NY
- Developed indoor object detection algorithms for wearable vision system
Research assistant in computer vision
01/2004-02/2009
Visual Computing and Image Processing Lab, Oklahoma State University,
Stillwater, OK
- Investigated efficient computer vision algorithms for object detection,
segmentation and tracking.
Research assistant in embedded control
08/2002-12/2002
Advanced Dynamics and Control Laboratory, Oklahoma State University,
Stillwater, OK.
- Developed embedded speed control algorithm for DC motor using
Matlab/Simulink and dSPACE tools
Lecturer of Department of Mechatronics
10/1997 - 07/2002
University of Electronic Science and Technology of China Chengdu,
Sichuan, China
- Researched and developed on-line monitoring, fault detection and
control methods to improve the operational safety, reliability, and
efficiency of large industrial equipment
Application engineer of Caterpillar's earth moving equipment 01/1997-
09/1997
ECI-Metro Engineering Machinery Service Co., Ltd.
Chengdu, China
- Provided technical and engineering support to field sales offices for
Caterpillar's earth moving equipment
Assistant mechanical engineer
08/1992-08/1994
Xuzhou Construction Machinery Group (Caterpillar's cooperator for
Caterpillar Xuzhou Ltd.) Xuzhou, China
- Troubleshoot and improved a control system for the DC Motor of a semi-
automated welding machine
RESEARCH PROJECTS
Indoor object detection algorithms for wearable vision system
03/2009-present
- Investigated how to incorporate context information into an object model
to handle serious occlusion problem for object detection on mobile
platforms.
Joint human localization, segmentation and pose estimation aided by shape
prior 03/2005-02/2009
- Investigated biologically plausible approaches for human pose estimation,
segmentation and tracking.
- Use probabilistic modeling methods for prior learning and Bayesian
methods for inference.
- Developed algorithms using C/C++ language under a Linux operation system.
Statistical modeling based multi-layer classifier for image/video
segmentation 01/2004-02/2005
- Developed multi-layer classification architecture by combining
statistical and graph-theoretic approaches.
- Extracted and incorporated multiple features in a sequential
classification process.
- Developed algorithms using C language under a Windows operation system.
Onboard real-time data acquisition and diagnostic instrument for
earthmoving fleet 01/1998-01/2002
- Developed an on-line data acquisition, control and diagnostic instrument.
- Gathered various fleet operating parameters by the way of wireless
communication.
PUBLICATIONS:
"Joint Localization and Figure-ground Segmentation Aided by Coupled Region-
Edge Shape Priors'' Pattern Recognition (Accepted)
"Hybrid Body Representation for Integrated Pose Recognition, Localization
and Segmentation'' IEEE Conf. Computer Vision and Pattern Recognition
(CVPR), Anchorage, June 24, 2008.
"Combining Spatial and Temporal Priors for Articulate Human Tracking with
Online Learning", in Proc. the 4th Dynamic Vision Workshop, in conjunction
with ICCV09, Japan, Oct. 2009
"Signage Context-based Indoor Object Detection" Submitted to International
Workshop on Situational Awareness for Autonomous and Mobile Platforms (In
conjunction with VISIGRAPP 2010)
"What Can We Learn From Biological Vision Studies for Human Motion
Segmentation?" (Oral presentation) International Symposium on Visual
Computing, Lake Tahoe, Nevada, Nov. 6-8, 2006
"Perception Principles Guided Video Segmentation" EEE International
Workshop on Multimedia Signal Processing, Shanghai Oct. 30-Nov. 2, 2005