Prior to coming to Boise State in 2010, Dr. Hao Chen worked at Syracuse University as a research assistant professor. He has a Ph.D. in Electrical Engineering from Syracuse University and master’s and bachelor’s degrees in Electrical Engineering from the University of Science and Technology of China. Dr. Chen’s research interests include noise-enhanced signal processing (NESP), stochastic resonance (SR), distributed inference, detection and estimation, image processing and cognitive radio. He recently received the All University Doctoral Prize at Syracuse University. Dr. Chen has many professional affiliations, including membership in the Institute of Electrical and Electronics Engineers (IEEE) and American Society for Engineering Education.
Articles and Conference Proceedings
Dimensionality Reduction for Registration of High-Dimensional Data Sets (with Min Xu and Pramod K. Varshney), IEEE Transactions on Image Processing (2013)
Registration of two high-dimensional data sets often involves dimensionality reduction to yield a single-band image...
Localization in Wireless Sensor Networks: Byzantines and Mitigation Techniques (with Aditya Vempaty, Onur Ozdemir, Keshav Agrawal, and Pramod K. Varshney), IEEE Transactions on Signal Processing (2013)
Wireless Sensor Networks (WSNs) are vulnerable to Byzantine attacks in which malicious sensors send falsified...
New Results on Distributed Detection with Dependent Observations (with Ge Xu and Biao Chen), IEEE Global Communications Conference (2012)
Without the conditional independence assumption, the problem of distributed detection becomes intractable in general. A...
Performance Limit for Distributed Detection Under Correlated Observations in Wireless Sensor Networks (with Ying Lin), 2012 IEEE 19th Symposium on Communications and Vehicular Technology in the Benelux (SCVT) (2012)
In large-scale and dense wireless sensor networks, sensor observations often are correlated and the correlation...
Tandem Distributed Detection with Conditionally Dependent Observations (with Pengfei Yang, Biao Chen, and Pramod K. Varshney), 15th International Conference on Information Fusion (2012)
This paper deals with distributed detection using a tandem network with conditionally dependent observations. Our...
Patents
Optimized Stochastic Resonance Method for Signal Detection and Image Processing (with P. K. Varshney and J. H. Michels) (2010)
Apparatus and method for improving the detection of signals obscured by noise using stochastic resonance...