Assistant Signal Processing

Junyao Tang

Department of Physics Phone: 919-***-****

Duke University Email: ****@***.****.***

http://www.phy.duke.edu/ jt41

Durham, NC 27707

Duke University, Durham, NC, U.S.

Education

Ph.D. in Physics, (GPA: 3.7, rank: top 5) 09/2006-11/2012

Dissertation Topic: How Granular Materials Flow and Jam in a Two-dimensional Hopper

M.S. in Electrical and Computer Engineering, (GPA: 3.9) 09/2010-05/2012

M.S. Area of Concentration: Image/Signal Processing

University of Science and Technology of China, Hefei, Anhui, China

B.S. in Applied Physics,(GPA: 3.74, rank: 11/85) 2002-2006

5 years of experience in Image Processing Algorithms: Segmentation/Restoration/Pattern Recognition

Skills

Specialize in High-Speed Image Acquisition, Particle Velocimetry and related Camera/Lighting Techniques

Statistical Signal Processing, Bayesian Statistics and Compressive Sensing

Programming: Matlab, C/C++, OpenCV, OpenGL, HTML, Latex, Condor Parallel Computing

Language: Fluent English and Chinese, TOEFL 105/120, GRE 1360 (V: 560+Q: 800)

Duke University, Department of Physics, Granular Materials Laboratory

Professional

Research Assistant, Advisor: Professor Robert P. Behringer, 2008-present

Experience

Developed 2D computer vision algorithms to precisely identify circular/elliptical-shaped particles in low-

resolution or noisy images taken by high-speed cameras for granular ow experiments (see publication 1).

Developed 3D computer vision algorithms to identify spherical-shaped particles with various radius in the

three-dimensional (3D) laser scanning experiment of granular materials.

Creatively adapted visualization techniques from computer graphics into physics experiments. The re-

sulting video won 1st prize in American Physical Society GSNP (Topical Group on Statistical

& Nonlinear Physics) Gallery Award, 2011 (see publication 2).

Designed and built a high-speed CMOS imaging system to simultaneously probe particle movements and

interaction forces between particles during granular ow in a 2-dimensional hopper.

Statistically modeled hopper clogging behaviors based on Poisson stochastic process. Data analysis of

Force-chain Network showed impacts of density/force uctutations and the role of the shape of particles on

regulating granular ow rheology. (see publication 3).

Developed quantitative models based on beam mechanics (Euler Bernoulli beam theory) to predict the

relation between the hopper ow rate and the aspect ratio of elliptical particles.

Duke University, Department of Physics 2008

Teaching Assistant, weekly Q&A sections, PHY 213-Nonlinear Dynamics, PHY 203-Statistical Mechanics

University of Science and Technology of China, Low Temperature Physics Laboratory

Engaged in the study of electronic and magnetic properties of ferromagnetic superconductors. 2005-2006

1. J.Tang, and Jie Ren, Hough Transform Applications to Particle Detection of Granular Physics Experi-

Selected

ments, Journal of Computational Information Systems, 2012, accepted

Publications

2. J.Tang, and R.P. Behringer, How granular materials jam in a hopper, Chaos, 21, 041107, 2011

3. J.Tang, S. Sagdiphour, and R.P. Behringer, Jamming and Flow in a 2D Hopper, Proceedings of The

6th International Conference on Micromechanics of Granular Media, 1145, 515, 2009

4. J.Tang, The Symmetry of Physics and Music, Duke Physics Annual Newsletter, 10, 2008

First Prize, American Physical Society GSNP Gallery Award 2011

Selected

Second Prize, Duke Chinese Student Photography Competition 2011

Honors &

U.S.T.C. Outstanding Student Scholarship 2002-2005

Awards

First Prize, National Physics Olympiad (Anhui Province) 2001

Third Prize, National Mathematics Olympiad 2001

Ranked 1st in Exams of Duke ECE 189-Digital Image Processing (40 people)

Other

Web Technical Chair, Duke Physics Graduate Student Organization 2010-2011

Student Representative and Writer, Duke Physics Newsletter 2008

Chair of Newcomer Service, Duke Chinese Student and Scholar Association 2008

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