People
Huazhong Yang

Huazhong Yang, PhD

Professor, Tsinghua University

Office: Rohm Building, Room 4-305
+86-10-62789670
yanghz@tsinghua.edu.cn


Education

PhD, Circuits & Systems, Tsinghua University (1998)
MS, Circuits & Systems, Tsinghua University (1993)
BS, Microelectronics, Tsinghua University (1989)

Research Interests

Wireless body area network for wearable devices, mainly focus on modeling, circuit techniques, and chip design of capacitive-coupling body channel communication (CC-BCC). Significant progresses include:

  • A 5-tissue-layer capacitive body channel model based on the physiological characteristics of human tissues, which achieves a maximum error of 2.21%
  • An automatic loss compensation (ALC) system enabling non-contact intrabody communication
  • A Galvanically-coupled BCC receiver fabricated in 0.18um CMOS technology, which can withstand carrier frequency offset up to ±12.5% and keep the bit error rate below 0.1%
  • A tissue-channel power transfer technique for implantable devices, which achieves a doubled power transfer efficiency in smaller implanted devices– 0.39% for a 1mm-sized implant locating 5cm depth inside the tissue

Calibration of wireless sensor network for structural health monitoring

  • A blind drift calibration method by signal space projection and sparse Baysian learning, which can detect and recover the drift of multiple sensors
  • A deep learning approach called projection-recovery network (PRNet) can calibrate 60% sensors under the constraint of 5% calibration error and 80% successful rate

Publications

Jingna Mao, Huazhong Yang, Yong Lian, Bo Zhao, “A Five-Tissue-Layer Human Body Communication Circuit Model Tunable to Individual Characteristics,” IEEE T-BioCAS, 2018, 12(2): 303-312

Pengpeng Chen, Huazhong Yang, Rong Luo, Bo Zhao, “All-Digital Galvanically- Coupled BCC Receiver Resilient to Frequency Misalignment,” IEEE T-BioCAS, 2017, 11(3):714-726

Yuzhi Wang, Anqi Yang, Pengjun Wang, Yu Wang, Huazhong Yang, “A Deep Learning Approach for Blind Drift Calibration of Sensor Networks,” IEEE Sensors Journal, 2017, 13(1): 4158-4170

Yiqun Wang, Yongpan Liu, Cong Wang, Zewei Li, Xiao Sheng, Hyung Gyu Lee, Naehyuck Chang, Huazhong Yang, “Storage-Less and Converter-Less Photovoltaic Energy Harvesting with Maximum Power Point Tracking for Internet of Things”, IEEE T-CAD, 2016, 35(2):173-186

Xueqing Li, Qi Wei, Zhen Xu, Jianan Liu, Hui Wang, and Huazhong Yang, “A 14 Bit 500 MS/s CMOS DAC Using Complementary Switched Current Sources and Time-Relaxed Interleaving DRRZ,“ IEEE T-CAS-I, 2014, 61(8):2337-2347

Xinkai Wang, Pengjun Wang, Peng Zhang, Shuzheng Xu, Huazhong Yang, “A Norm-space, Adaptive, and Blind Audio Watermarking Algorithm by Discrete Wavelet Transform,” Signal Processing, 2013, 93(4): 913-922