JINJIN LI

* ** * * ********** Dr. A PT * ** T empe AZ 85281 j acvchh@r.postjobfree.com 6 02 -638 -7693

T ECHNICAL SKILLS AND ABILITIES

- Solid understanding of 3D machine vision, Stereo Vision, Image/Video Processing

- 5 years experience of research in coordination with Industrial companies (Intel Corporation)

- Over 7 years algorithm design and programming experience in MATLAB and C++

- Deeply experienced in imaging setup including cameras, illumination and hardware integration

- Strong Mathematical and Analytical Skills. Good Communication and teamwork skills.

- Self-motivated and highly organized to multitask efficiently under pressure

- Specialties:

3D Machine Vision Stereo Vision and 3D Modeling Digital Image and Video Processing

Computer Vision Camera Calibration (pin-hole and fisheye) Structure From Motion

Machine Learning Algorithm Developing and Programming Data Organizing and Analysis

- Programming Languages: Visual C++, FPGA, VHDL, Assembly, JAVA

- Software: MATLAB, MS Visual Studio C++, OPENCV, JMP, LaTex, Eclipse IDE, Weka, Cadence,

CodeWarrior (Motorola), Code Composer Studio (TI), MS office, Photoshop

P ROFESSIONAL EXPERIENCE

I ndustrial Research and Internship

3D Reconstruction and Image Processing for Industrial Product (BGA) Inspection

Sponsored by Intel Corporation, Chandler AZ (Sep.2010-Dec.2013)

Proposed an automatic stereo vision based solder ball height and substrate coplanarity detection

method with less-complex algorithm, faster speed and higher accuracy, which outperforms many

major techniques

Proposed an iso-contour based segmentation algorithm for featureless images

Implemented a automated camera calibration system

Assembled high resolution camera, optics, lighting, and movement hardware into final tool

Filed a US patent based on this original and novel method

3D Depth Estimation and Structure from Motion for Automobile Surveillance and

Detection System

Sponsored by Intel Corporation, Chandler AZ (Aug.2013May. 2014)

Proposed a 3D reconstruction system based on fisheye video frames, to detect the distance of

objects around the vehicle and send out alarm when stops are needed

Implemented a fisheye un-distortion and multi-view reconstruction method using MATLAB and

OpenCV (C++)

Emotion Detection and Classification on Mobile Phone System

Internship at InterDigital Inc., San Diego CA (May.2014-Aug.2014)

Investigated existing mobile device sensing applications on user information

Developed an Android-based app for user attention detection using mobile sensors and machine

learning algorithms

R elev ant Projects

Stereo Matching System of Rectified Stereo Images based on Sparse Locally

Adaptive Cost Aggregation (Sep.2014-Dec.2015)

Proposed a stereo matching system using both MATLAB and OpenCV to generate dense disparity

map from stereo images with improved overall accuracy and reduced computation redundancy

Proposed a sparse locally adaptive cost aggregation method using adaptive guided filter

Proposed an improved adaptive support region method for support region detection

3D Depth Estimation and Structure From Motion using Multiple View Images and

Videos (Sep.2009-Aug.2010)

Constructed a 3D multi-view reconstruction system combining various techniques including

feature detection (SIFT, BRISK and FAST), RANSAC, Triangulation, Bundle Adjustment and Metric

Upgrade

Developed a Euclidean reconstruction algorithm from metric 3D frame

Analyzed algorithm performance in aspects of profiling speed, accuracy and video capability

Velocity and Flow Rate Estimation of Blood Vessels in Biomedical Images

(Nov.2011)

Implemented a motion estimation algorithm to estimate the flow rate and velocity in blood vessels

videos using Phase-Correlation Motion Estimation techniques in MATLAB

Muscle Fiber Classification using Biomedical image processing (Oct.2011)

Implemented a classification algorithm to classify healthy muscle fibers and unhealthy ones using

techniques of minimum-distance classifier, image segmentation and morphological operations

Survey of Major Data Mining and Machine Learning Techniques

(Sep.2010-Dec.2010)

Implemented machine learning algorithms including decision trees, Bayesian classifiers, neural

networks, support vector machines (SVM), etc. using Weka

Real-time Digital Signal and Image Processing using fixed-point DSP boards

(Feb.2009-May.2015)

Instructed, designed and debugged real-time DSP labs including signal filtering, histogram

equalization and musical tone synthesis on DSP56858EVM and TMS320c55x DSP boards

Elimination of Blocking and Ringing Artifacts from Transform Domain Images

(April.2009)

Designed an image deringing and deblocking filter using OPENCV and C++

P UBLICATIONS

Sparse Depth Estimation using Multi-view 3D Modeling

l

IEEE International Conference on Emerging Signal Processing Applications (ESPA),

2012

Stereo Vision Based Automated Solder Ball Height Detection

l

IPC Printed Circuit Expo, APEX & Designer Summit Proceedings, 2014

Sparse Depth Calculation Using Real-Time Key-Point Detection and Structure

l

from Motion for Advanced Driver Assist Systems

Advances in Visual Computing, 2014

Automated BGA Solder Ball Height and Coplanarity Detection based on Stereo

l

Vision Method

IEEE Transactions on Automation Science and Engineering, March 2015

Sparse Locally Adaptive Cost Aggregation For Stereo Matching

l

To be submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016

P ATENTS AND INVENTION DISCLOSURES

Automated Warpage and Solder Ball Height Measurement and Inspection for

l

Semi-Conductor Units

Provisional Patent filed March 2014; AzTE Invention Disclosure, September 2013. AzTE Case

Number M14-056P

F ELLOWSHIPS AND AWARDS

Nomination for ASU Faculty Womens Association Awards for Distinguished Graduate

l

Students (March.2014)

Member of Mathematical Modeling team in nationwide Mathematical Modeling

l

competition (Aug.2006)

Member of the Elite Class for top 3 of students from each department in Hebei

l

University of Technology

Best Director of Student Associate Union (Oct.2004-Sep.2006)

l

E DUCATION

PhD in Electrical Engineering Jan.2011- Aug.2016 (expected)

Arizona State University, Tempe AZ USA GPA: 4.0 / 4.0

MS in Electrical Engineering Aug.2008-Dec.2010

Arizona State University, Tempe AZ USA GPA: 4.0 / 4.0

BS in Electrical Engineering Oct.2004-July.2008

Hebei University of Technology, TianJin China GPA: 3.85 / 4.0

M AJOR COURSES & G RADES

Digital Signal Processing

Digital Image and Video Processing (A) Biomedical Image Processing (A)

(A)

Multidimensional Signal Processing (A+) Stat. Learning for Data Mining (A) Real Time DSP (A+)

Digital Spectral Analysis (A+) Detection/Estimation Theory (A) Random Signal Theory (A)

R EFERENCE CONTACT

Lina Karam, Professor, Image, Video and Usability Lab, Arizona State University,

l

Tempe AZ

Email: acvchh@r.postjobfree.com Tel: 480-***-****

Bonnie Bennett, Research Technologist, Intel Corporation, Chandler AZ

l

Email: acvchh@r.postjobfree.com

Nital Patel, Principal Engineer, Intel Corporation, Chandler AZ

l

Email: acvchh@r.postjobfree.com

Contact this candidate