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Rui Yang
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| Office: GWC 606 |
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| Who let the Chaos out? |
Rui Yang is a Ph.D candidate working with Prof. Ying-Cheng Lai in the Department of Electrical Engineering at Arizona State University. He received his Bachelor's degree in Applied Physics from University of Science and Technology of China (USTC), China in 2007.
He has both science and engineering backgrounds and hence usually, he needs to develop mathematical/physical approach/model to the solution, and iteratively implement the ideas to the program simulation. His research interests are broad and mainly in interdisciplinary science and technology, such as time-series analysis, data discovery and information visualization, system/network prediction, network science and dynamics modeling/simulation, nonlinear dynamics/Chaos, signal processing (compressive sensing/sparse sampling), solid-state electron transport simulation (Graphene/Single-layer Graphite: Note that, The Nobel Prize in Physics for 2010 was awarded to those who fabricated graphene), etc. He is currently working on two projects, compressive sensing (Note that, in electrical engineering , particularly in signal processing , compressed sensing is the process of acquiring and reconstructing a signal that is supposed to be sparse or compressible.) and its application in dynamical system/network prediction and electron transport in Graphene systems. Till now, he has already published 17 journal papers with impact factor ranging from 2 to 7+ (In average, 3-4 papers were published every year.) His papers have received over 150 scientific citations and his current H-index is 7. He is and will continue to be a quick learner and hard worker :) Also, he has extensive programming experience with C/C++, and Matlab. He has taken 10+ courses in Signal processing & Digital/wireless communication and his cumulative GPA is 3.80/4.0. Cover_Letter and Resume
He passed PhD comprehensive exam on February 2012 with presentation topic " Quantum Chaotic Scattering and Abnormal Electron Paths in Graphene Systems". PPT slides He passed the final defense on March 12, 2012 with presentation topic " Modulating Quantum Transport by Transient Chaos and System Reconstruction via Compressive Sensing" . PPT slides. His dissertation topic is "System Reconstruction via Compressive Sensing, Complex-Network Dynamics and Electron Transport in Graphene Systems", which can be found here. The committee members are Dr. Yingcheng Lai, Dr. Tolga M. Duman, Dr. Richard Akis, and Dr. Liang Huang.
From Auguest 2011 , he is employed as a Senior System (algorithm) Engineer at LinkQuest Inc. in San Diego, Califonia. His main duties include design, implementation, debugging and testing of medical ultrasound instrument algorithms, and system test and integration.
PROFESSIONAL ACTIVITES & PUBLICATIONS MAIN COURSES & COURSE PROJECTS AWARDS AND RECOGNITIONS
Research Resources (Open Source Codes) Old Homepage
Online Storage
Professional Activities
- Time-series analysis/prediction by compressive sampling , Spring 2009 – Present
Technologies: Matlab, C/C++, Python, LaTeX, XFig, SSH, Windows/Linux, etc.
- Expand the vector field or map of the underlying dynamical system into a suitable function series
- Predict the parameters of system based on time series by compressing sampling (L 1 -norm optimization)
- Numerically solve the reconstructed dynamical systems (ODE/PDE) to predict future time series
- Perform bifurcation analysis to locate potential catastrophic/unexpected events in the parameter space
Publications:
- Rui Yang, Y.-C. Lai and C. Grebogi, "Forecasting the future: Is it possible for adiabatically time-varying nonlinear dynamical systems?", Physical Review Letters, under review. paper
- Wen-Xu Wang*, Rui Yang†, Y.-C. Lai, Vassilios Kovanis, and Celso Grebogi, ''Predicting catastrophes in nonlinear dynamical systems by compressive sensing'', Physical Review Letters 106, 154101 (2011). paper
- Data analysis and social network/link prediction , Fall 2008 – Present (supported by NSF)
Technologies: C/C++, Matlab, Python, LaTeX, XFig, SSH, Windows/Linux, etc.
- Model and classify the network structure based on the scaling characteristics of empirical network data
- Predict the unknown links or connections in social networks using less than 30% data points
- Model and simulate the rumor/information spreading on social networks (Facebook)
Publications:
- W.-X. Wang, Rui Yang, Y.-C. Lai , V. Kovanis, and M. A. F. Harrison, ``Time-series-based prediction of complex oscillator networks via compressive sensing,'' Europhysics Letters 94, 48006 (2011) .paper
- G.M. Gui, H.-J. Yang, Rui Yang, J. Ren, B.-W. Li, and Y.-C. Lai, "Uncovering Evolutionary Ages of Nodes in Complex Networks", Eruo. Phys. J. B, accepted. paper
- Econo-physics modeling and understanding , Fall 2007 –Fall 2009 (supported by NSF)
Technologies: C/C++, Matlab, Python, ORIGIN, LaTeX, Windows/Linux, etc.
- Model and analyze the mechanisms of chain-reaction bankruptcies process based on game theory
- Understand how self-organized cooperation behavior emerged in social and economical systems
- Use finite difference method and Euler/Runge-Kutta method to numerically solve different ODEs/PDEs
Publications:
- Real-time routing strategies design on networks , Fall 2006 – Present (supported by NSF and AFOSR)
Technologies: C/C++, Matlab, Mathematica, Python, ORIGIN, LaTeX, XFig, SSH, Windows/Linux, etc.
- Design routing strategies to optimize information spreading or suppress traffic congestion on networks
- Consider the information spreading dynamics with unsymmetrical uploading/downloading capacities
Publications:
- Rui Yang , Wen-Xu Wang, Ying-Cheng Lai and Guanrong Chen, "Optimal weighting scheme for suppressing cascades and traffic congestion in complex networks ",Physical Review E 79, 026112 (2009). paper
- Rui Yang , Liang Huang, and Ying-Cheng Lai, "Selectivity-based spreading dynamics on complex networks", Physical Review E 78, 026111 (2008). paper
- Rui Yang , Tao Zhou, Yan-Bo Xie, Ying-Cheng Lai, and Bing-Hong Wang, "Optimal contact process on complex networks", Physical Review E 78, 066109 (2008). paper
- Rui Yang , Bing-Hong Wang, Jie Ren, Wen-Jie Bai, Zhi-Wen Shi, Wen-Xu Wang, and Tao Zhou, " Epidemic Spreading on heterogeneous networks with identical infectivity", Phys. Lett. A 364, 189 (2007). paper
- Temporal and spatial evolution of game dynamics and pattern formation on networks, Fall 2008– Fall 2010 (supported by NSF and AFOSR)
Technologies: C/C++, Matlab, Mathematica, Python, ORIGIN, LaTeX, XFig, SSH, Windows/Linux, etc.
- Investigate the steady state and evolution patterns of rock-paper-scissor game dynamics on regular lattice and complex networks
- Investigate the role of intraspecies competition in the coexistence of mobile populations in spatially extended ecosystems
- Investigate the basins of attraction in spatial rock-paper-scissor games
Publications:
- Rui Yang ,Wen-Xu Wang, Ying-Cheng Lai,and Celso Grebogi, "Role of intraspecific competition in the coexistence of mobile populations in spatially extended ecosystems", AIP Journal: CHAOS 20 , 023113 (2010). This work was selected by Virtual Journal of Biological Physics Research for the June 1, 2010 issue See here . paper
- X. Ni, Rui Yang*, W.-X. Wang, Y.-C. Lai , and C. Grebogi, ``Basins of coexistence and extinction in spatially extended ecosystems of cyclically competing species,'' Chaos 20 , 045116 (2010). paper
- Hongjing Shi, Wen-Xu Wang, Rui Yang , and Ying-Cheng Lai, " Basins of attraction for species extinction and coexistence in spatial rock-paper-scissors games", Physical Review E (Rapid Communications) 81, 030901 (2010). paper
- Ming-Feng Zhang, Bing-Hong Wang, Wenxu Wang, Chuanlong Tang, Rui Yang , "Randomness Effect on Cooperation in Memory-Based Snowdrift Game", Chin. Phys. Lett. 25 , 1494 (2008). paper
- Semiconductor transport simulation and device design , Spring 2009 - Present (supported by AFOSR)
Technologies: Matlab (Parallel programming), Python, LaTeX, XFig, SSH, Windows/Linux, etc.
- Numerically compute the conductance in conventional semiconductor (described by Schrödinger equation) and in Graphene (described by Dirac equation, single-layer graphite)
- Control conductance/transmission in disordered Graphene nanojuctions through stochastic resonance
- Investigate the scaling properties of relativistic pointer states in open Graphene pointer states
- Design and simulate the performance of Graphene-based semiconductor devices
- Investigate the net magnetic moment in unsymmetrical or disordered Graphene quantum dots
Publications:
- R. Yang, L. Huang, Y.-C. Lai, C. Grebogi, and L.M. Pecora, "Chaos-based method to control quantum transport", Physical Review E, submitted. paper
- R. Yang, L. Huang, Y.-C. Lai, and L.M. Pecora, "Modulating quantum transport by transient chaos", Applied Physics Letters, 100 , 093105 (2012). paper
- R. Yang, L. Huang, Y.-C. Lai, and C. Grebogi, ``Abnormal electron paths induced by Klein tunneling in graphene quantum point contacts,'' Physical Review B 84 , 035426 (2011). paper
- Rui Yang, L. Huang, Y.-C. Lai , and C. Grebogi, ``Quantum chaotic scattering in graphene systems,'' Europhysics Letters 94, 40004 (2011). paper
- L. Huang, Rui Yang,Y.-C. Lai , ``Geometry-dependent conductance oscillations in graphene quantum dots,'' Europhysics Letters 94, 58003 (2011). paper
- L.-L. Jiang, L. Huang, Rui Yang , and Y.-C. Lai, "Control of transmission in disordered graphene nanojunctions through stochastic resonance," Applied Physics Letters 96, 262114 (2010).This work was selected by Virtual Journal of Nanoscale Science & Technology for the July 19, 2010 issue See here. paper
- D. K. Ferry, L. Huang, Rui Yang , Y.-C. Lai , and R. Akis,"Open quantum dots in graphene: scaling relativistic pointer states,'' Progress in Nonequilibriym Green's Functions IV - Journal of Physics: Conference Series 220 , 012015 (2010). paper
- Scalability and Synchronizability on Complex Networks , Fall 2008– Fall 2009 (supported by NSF and AFOSR)
Technologies: C/C++, Matlab, Mathematica, Python, ORIGIN, LaTeX, XFig, SSH, Windows/Linux, etc.
- Investigate transient chaos (weak-synchronizability, characterized by the eigenvalue spectrum of the network's coupling matrix) in dynamically growing networks' time series
- Investigate the dynamics-based scalability on small-world and scale-free networks
Publications:
- Signal Processing and Image Processing:
(GPA: 3.96/4.0)
- EEE 554 Random Signal Theory; EEE 556 Detection/Estimation Theory; EEE 507 Multidimension Signal Process;
- EEE 505 Time-Frequency Signal Process; EEE 605 Adaptive Signal Process; EEE 551 Information Theory;
- EEE 508 Digital Images and Video Process and Compression
- Digital and Wireless Communications:
(GPA: 4.0/4.0)
- EEE 591 Communication systems; EEE 552 Digital Communications; EEE 558 Wireless Communications;
- EEE 557 Broadband Networks
Selected Course Projects
- CDMA and C-OFDM s imulation (in-class project) , Fall 2009
T echnologies : Matlab, LaTeX, Windows/Linux, etc.
- Monte Carlo simulation and performance analysis for BPSK-modulated CDMA systems in the uplink
- Assume channel is random with exponential power profile and do perfect power control to solve the “near-far” problem for uplink communication
- A pply Rake Reception to do demodulation
- Test the CDMA performance for different number of users and different channel lengths
- Convolutional c oded - OFDM system simulation
- Do IFFT/FFT operations and CP insertions to cancel inter-block interference
- Interleave coded bits to make sure these consecutive bits experience approximately independent frequency-domain channel taps
- Apply viterbi HDD/SDD algorithms to do decoding and compare the performance difference
- Test the performance under different channel decreasing coefficients, channel lengths and free distance of the convolutional codes
- Diversity techniques and e qualizer approaches (in-class project) , Fall 2009
T echnologies : Matlab, LaTeX, Windows/Linux, etc.
- Simulation and theoretical analysis for different diversity techniques, such as MRC, EGC, SC, PDC, etc., and performance analysis for these diversity techniques under different number of antenna cases
- Design viterbi algorithms and compare the simulation performance of it with MMSE equalizers through ISI channel (known channel case and unknown channel case)
- For liner equalizers, consider good/bad channel effect, different equalizer length effect tradeoff, find optimal delay to minimize MSE, and comment on the error floor
- Image Processing and vedio compression using OpenCV (in-class project) , Fall 2010
Investigate the existing feature-based and image-based face detection methods
- Apply Viola-Jones face detection method to detect faces, mosaic, and exchange faces
- PAM, PSK, FSK, DPSK, Non-coherent FSK simulation and theoretical analysis (in-class project) , Spring 2009
- Graduate Research Assistantship (20 hrs/week), Arizona State University, August 2007 – Present
- Complex Network/Nonlinear Dynamics Research Center Internship (40 hrs/week), Arizona State University, Summer 2008/2010
- Annual Scholarship for Excellent Students, USTC, China, 2004, 2005
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