University of Science and Technology of China (USTC), Hefei, China M.S., Electrical Engineering, July 2002

Transcription

1 Hao Chen Contact Information Research Interests Education ENGR 222 Voice: (208) (o), (315) (m) ECE Department Fax: (208) Boise State University Boise, ID USA Statistical signal and image processing and communications, including Noise Enhanced Signal Processing (NESP) Stochastic Resonance (SR) Distributed Inference Cognitive Radio (CR) Compressive Sensing (CS) Image Processing Syracuse University, Syracuse, NY Ph.D., Electrical Engineering, May 2007 Dissertation Topic: Noise Enhanced Signal Detection and Estimation (All University Doctoral Prize) Advisor: Dr. Pramod K. Varshney University of Science and Technology of China (USTC), Hefei, China M.S., Electrical Engineering, July 2002 University of Science and Technology of China (USTC), Hefei, China B.S., Electrical Engineering, July 1999 Honors and Awards Research and Teaching Research Projects All University Doctoral Prize, Syracuse University, 2007 Finalist for the Best Student Paper Prize, 2006 IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP 2006). Shing-Tung Yau Scholarship, USTC, Hefei, China, Assistant Professor Boise State University Aug Present Research Assistant Professor Syracuse University Nov, July, 2010 Postdoc Research Associate Syracuse University May, Oct Research Assistant Syracuse University August, May, PI. Privacy-Preserving Data Mining: Performance Limits and Optimization, Google Research, Pending 2. Co-PI (PI: Jim Browning). Study and Modeling of Dust Mechanics in Low Pressure Atmospheres and Reduced Gravity, NASA EPSCoR, Preproposal, Pending 3. Co-PI (PI: Biao Chen). A Unifying Framework for Distributed Inference in Networked Systems, National Science Foundation (NSF) , Senior Personnel (PI: Goodarz Ahmadi), Advancement of Intelligent Aerospace Systems (AIAS) for U.S. Air Force,

2 5. Senior Personnel (PI: Pramod K. Varshney). Noise Enhanced Sensory Signal Processing, Air Force Office of Scientific Research (AFOSR), Senior Personnel (PI: Pramod K. Varshney). Nonlinear Enhancement of Visual Target Detection: Phase II, AFOSR, through JHM Technologies, Senior Personnel (PI: Pramod K. Varshney). Nonlinear Enhancement of Visual Target Detection: Phase I, AFOSR, through JHM Technologies, Patent Journal Articles H. Chen, P. K. Varshney and J. H. Michels, Optimized Stochastic Resonance Method for Signal Detection and Image Processing. J1 T. Wimalajeewa, H. Chen and P. K. Varshney, Performance Limits of Compressive Sensing- Based Signal Classification, submitted to IEEE Transactions on Signal Processing, Feb J2 A. Rawat, P. Anand, H. Chen and P. K. Varshney, Collaborative Spectrum Sensing in the Presence of Byzantine Attacks in Cognitive Radio Networks, to appear in IEEE Transactions on Signal Processing J3 M. Xu, H. Chen and P. K. Varshney, Registration of high-dimensional remote sensing data sets based on a new fusion rule, submitted to IEEE Transactions on Image Processing, May J4 M. Xu, H. Chen and P. K. Varshney, An Image Fusion Approach Based on Markov Random Fields, to appear in IEEE Transactions on Geoscience and Remote Sensing J5 Y. Zhu, P. K. Varshney and H. Chen, ICA-Based Fusion for Color Display of Hyperspectral Images, to appear in International Journal of Remote Sensing, J6 H. Chen and P. K. Varshney, Nonparametric One-Bit Quantizers for Distributed Estimation, IEEE Transactions on Signal Processing, Volume 58, Issue 7, pp , July. J7 H. Chen and P. K. Varshney, Performance Limit for Distributed Estimation Systems with Identical One-Bit Quantizers, IEEE Transactions on Signal Processing, Volume 58, Issue 1, pp , Jan. J8 M. Xu, H. Chen and P. K. Varshney, Ziv-Zakai bounds on image registration, IEEE Transactions on Signal Processing, Volume 57, Issue 5, pp , May J9 H. Chen, P. K. Varshney, S. Kay and J. H. Michels, Noise Enhanced Nonparametric Detection, IEEE Transactions on Information Theory, Volume 55, Issue 2, pp , Feb J10 H. Chen, B. Chen and P. K. Varshney, Further Results On the Optimality of the Likelihood- Ratio Test for Local Sensor Decision Rules in the Presence of Nonideal Channels, IEEE Transactions on Information Theory, Volume 55, Issue 2, pp , Feb., J11 R. Peng, H. Chen and P. K. Varshney, Noise-Enhanced Detection of Micro-Calcifications in Digital Mammograms, IEEE Journal of Selected Topics in Signal Processing, Feb J12 H. Chen and P. K.Varshney, Theory of the Stochastic Resonance Effect in Signal Detection: Part II - Variable Detectors, IEEE Transactions on Signal Processing, Volume 56, Issue 10, pp , Oct J13 H. Chen, P. K. Varshney and J. H. Michels, Noise Enhanced Parameter Estimation, IEEE Transactions on Signal Processing, Volume 56, Issue 10, pp , Oct J14 H. Chen, P. K. Varshney and J. H. Michels, Improving Sequential Detection Performance Via Stochastic Resonance, IEEE Signal Processing Letters, Volume 15, pp , J15 H. Chen, P. K. Varshney, J. H. Michels and S. Kay, Theory of the Stochastic Resonance Effect in Signal Detection: Part I - Fixed Detectors, IEEE Transactions on Signal Processing, Volume 55, Issue 7, pp , July 2007.

3 J16 H. Chen and P. K. Varshney, A Human Perceptual Inspired Quality Metric For Image Fusion Based on Regional Information, International Journal of Information Fusion, Volume 8, Issue 2, pp , Apr J17 S. M. Kay, J. H. Michels, H. Chen and P. K. Varshney, Reducing Probability of Error using Stochastic Resonance, IEEE Signal Processing Letters, Volume 13, Issue 11, pp , Nov J18 H. Chen, N. Yu, Z. Liu and R. Zhang, A New Data Fusion Algorithm for Improving Remote Sensing Images Resolution, Journal of Software (in Chinese), Vol. 12, Issue 10, pp , Oct Conference Proceedings C1 A. Vempaty, K. Agrawal, H. Chen and P. K. Varshney, Adaptive Learning of Byzantines Behavior in Cooperative Spectrum Sensing, to appear in IEEE WCNC 2011, Oct. C2 V. Nadendla, H. Chen and P. K. Varshney, Optimal Anti-Jamming for Cooperative Spectrum Sensing in a Simple Cognitive Radio Network, submitted to IEEE WCNC 2011, Oct. C3 V. Nadendla, H. Chen and P. K. Varshney, Effect of Jamming on Distributed Spectrum Sensing in a Cognitive Radio Network, Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, Nov. C4 V. Nadendla, H. Chen and P. K. Varshney, Secure Distributed Detection in the Presence of Eavesdroppers, Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, Nov. C5 T. Wimalajeewa, H. Chen and P. K. Varshney, Performance Analysis of Stochastic Signal Detection with Compressive Measurements, Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, Nov. C6 J. Xu, H. Chen and B. Chen, New Observations on Interference Channels Under Strong and Very Strong Interference, IEEE GLOBECOM 2010 C7 R. Peng, P. K. Varshney and H. Chen Noise-Refined Image Enhancement Using Multi- Objective Optimization, CISS 2010, Princeton, NJ, March, 2010 C8 H. Chen, P. K. Varshney and B. Chen A Novel Framework for Distributed Detection with Dependent Observations, ICASSP C9 P. Anand, A. Rawat, H. Chen and P. K. Varshney Countering Byzantine Attacks in Cognitive Radio Networks, ICASSP C10 A. Rawat, P. Anand, H. Chen and P. K. Varshney, Collaborative Spectrum Sensing in the Presence of Byzantine Attacks in Cognitive Radio Networks, COMSNETS C11 M. Xu, H. Chen, P. K. Varshney, Registration of high-dimensional remote sensing data sets based on a new fusion rule, ICIP C12 H. Chen, P. K. Varshney and B. Chen, Conditional Dependence in Distributed Detection: How Far Can We Go?, 2009 IEEE International Symposium on Information Theory C13 H. Chen and P. K. Varshney, Nonparametric One-Bit Quantizers for Distributed Estimation, 2008 IEEE International Symposium on Information Theory, Toronto, Canada, July, pp C14 M. Xu, H. Chen, P. K. Varshney, A Novel Approach for Image Fusion Based on Markov Random Fields, CISS 2008, Princeton, NJ, March, 2008, pp C15 H. Chen, P. K. Varshney and B. Chen, Cooperative Relay for Decentralized Detection, ICASSP 2008, Las Vegas, NV, 2008, pp C16 R. Peng, P. K. Varshney, H. Chen and J. H. Michels, Adaptive algorithms for digital mammogram enhancement, SPIE Medical Imaging Conference, San Diego, CA, Feb

4 C17 R. Peng, H. Chen, P. K. Varshney and J. H. Michels, Stochastic Resonance: An approach for enhanced medical image processing, the 3rd Annual IEEE-NIH Life Science System and Application (LISSA 07) Workshop, Nov. 2007, pp C18 H. Chen, P. K. Varshney and J. H. Michels, Noise Enhanced Signal Detection and Estimation, Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, Nov C19 H. Chen, P. K. Varshney and J. H. Michels, Denoising Noisy Images with Noise, Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, Nov C20 Y. Zhu, P. K.Varshney and H. Chen, Dimensionality Reduction of Hyperspectral Images for Color Display Using Segmented Independent Component Analysis, Proceedings of the 2007 IEEE International Conference on Image Processing, San Antonio, TX, Sept C21 B. Liu, S. Iyengar, H. Chen, P. K. Varshney and J. H. Michels, Sensor Fusion Enhancement via Optimized Stochastic Resonance at Local Sensors, 10th International Conference on Information Fusion (ICIF 2007), Quebec, Canada, July, C22 Y. Zhu, P. K. Varshney and H. Chen, Evaluation of ICA Based Fusion of Hyperspectral Images for Color Display, 10th International Conference on Information Fusion (ICIF 2007), Quebec, Canada, July, C23 H. Chen, P. K. Varshney, J. H. Michels and S. Kay, Approaching Near Optimal Detection Performance via Stochastic Resonance, Proceedings of the 2006 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2006), Toulouse, France, May. 2006, Volume 3, pp C24 H. Chen, P. K. Varshney, S. Kay and J. H. Michels, Can addition of noise improve distributed detection performance?, Proceedings of the 9th International Conference on Information Fusion (ICIF 2006), Florence, Italy, July 2006, pp C25 H. Chen, P. K. Varshney, S. Kay and J. H. Michels, Improving Nonparametric Detectors via Stochastic Resonance, 40th Annual Conference on Information Sciences and Systems, Princeton, NJ, Mar. 2006, pp C26 R. S. Rand, H. Chen, P. K. Varshney, Separating patterns and finding the independent components of mixed signals based on non-gaussian distribution properties, Proceedings of the SPIE, Aug. 2005, Vol. 5909, pp C27 H. Chen and P. K. Varshney, A perceptual quality metric for image fusion based on regional information, Proceedings of the SPIE, 2005, Vol. 5813, pp C28 H. Chen and P. K. Varshney, Feature subset selection with applications to hyperspectral data, Proceedings of the 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2005), Philadelphia, PA, Mar. 2005, Vol. 2, pp General Media Invited Talks and Presentations M1 H. Chen, Constructive Role of Noise in Signal Processing, SPIE Newsroom. T1 H. Chen, Noise Enhanced Signal Detection and Estimation, Mitsubishi Electric Research Laboratories, Cambridge, MA, Dec. 17, T2 H. Chen and Pramod Varshney, Noise Enhanced Signal and Image Processing, The 5th Annual Mohawk Valley Technology Symposium, Utica, NY, Apr. 23, 2009.

5 Professional Collaborators in the last 48 months Doctoral Student Advising Ph.D. Dissertation Advised Master Thesis Advised Reviewer, IEEE Transactions on Control Systems Reviewer, IEEE Transactions on Signal Processing Reviewer, IEEE Transactions on Image Processing Reviewer, IEEE Transactions on Communications Reviewer, IEEE Transactions on Wireless Communications Reviewer, IEEE Transactions on Aerospace and Electronic Systems Reviewer, IEEE Communication Letters Reviewer, IEEE Signal Processing Letters Reviewer, EURASIP Journal on Signal Processing Reviewer, EURASIP Journal on Wireless Communications and Networking Reviewer, 14th European Signal Processing Conference Member of the Institute of Electrical and Electronics Engineers Biao Chen (Syracuse University); James H. Michels (JHM Technologies); Pramod K. Varshney (Syracuse University); Steven M. Kay (University of Rhode Island); Mark Glauser (Syracuse University); Om Gupta (Digicomp Research Corporation), Fatos T. Yarman Vural (Middle East Technical University, Turkey). Ms. Yingxuan Zhu, Ph.D. Student, Electrical Engineering, Syracuse University. Mr. Renbin Peng, Ph.D. Student, Electrical Engineering, Syracuse University. Mr. Satish Iyengar, Ph.D. Student, Electrical Engineering, Syracuse University. Mr. Swarnendu Kar, Ph.D. Student, Electrical Engineering, Syracuse University. Mr. Venkata Sriram Siddhardh Nadendla, Ph.D. Student, Electrical Engineering, Syracuse University. Mr. Arun Subramanian, Ph.D. Student, Electrical Engineering, Syracuse University. Mr. Ashok Sundaresan, Ph.D. Student, Electrical Engineering, Syracuse University. Mr. Uri Rogers, Ph.D. Student, Electrical Engineering, Boise State University Min Xu, Image Registration and Fusion: Algorithms and Performance Bounds, Feb ( co-advised with Pramod K. Varshney). Mr. Ylker Ozcelik, Electrical Engineering, Syracuse University, July,