Academic Profile : Faculty

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Prof Zheng Yuanjin
Professor, School of Electrical & Electronic Engineering
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Dr. Zheng Yuanjin received his B.Eng. from Xi'an Jiaotong University, P. R. China in 1993, M. Eng. from Xi'an Jiaotong University, P. R. China in 1996, and Ph.D. from Nanyang Technological University, Singapore in 2001. From July 1996 to April 1998, he worked in the National Key Lab of Optical Communication Technology, University of Electronic Science and Technology of China. He joined Institute of Microelectronics, A*SATAR on 2001 as a senior research engineer, and then promoted to a principle investigator and group leader for wideband RFIC design group. Here, he has leaded and developed various CMOS RF transceivers and baseband SoC for WLAN, WCDMA, Ultra-wideband, low power medical radio, and biomedical device etc. Since July, 2009, he joined Nanyang Technological University as assistant professor. His current research include GHz RFIC and SoC, Biomedical Imaging, Radar and UWB Systems and Circuits, SAW/acoustic/MEMS Sensors, and Energy and Power Conversion Circuits.

Prof. Zheng has published more than 100 prestigious international papers, 14 patents filed/disclosed and 4 book chapter (Springer). He served as session chairs and TPC members for several international conferences and constantly as technique reviewers for IEEE top journals. He has successfully leaded and contributed numerous public funded research and industry projects. He is a member of IEEE.
• GHz RFIC and SoC design, SAW, MEMS, Acoustics
• Bio-IC System and Circuits, Biomedical Imaging
• Radar and UWB Communication System and Circuits
• Adaptive Signal and Image Processing Algorithm and ASIC
  • Advanced Ultrasound Imaging System With Enhanced Sensitivity and Resolution
  • Conformal Electronics for Lab-on-a-Leaf Technology
  • Delta - NTU Corporate Laboratory (Phase 2) (Delta)
  • Delta WP4: Cognitive Intelligent Robotic Sensing: 3D chip-integrated Sub-THz Wave RADAR, Acoustic Radar, Optical LiDAR, and Light Field Camera (3D-IRALC) Sensor with Artificial Intelligence (AI) edge data fusion
  • LEES+ Monolithic CMOS + GaN HEMT Integrated Circuits for 5G and Beyond
  • Low-Voltage Bias GaN-on-Si for Mobile Applications
  • Multi-Sensor Mobile Edge Platform for Integrated Sensing and Communication (ISAC) Co-Optimization
  • Multi-Sensor Mobile Edge Platform for Integrated Sensing and Communication (ISAC) Co-Optimization (I2R Budget)
  • Multi-Sensor Mobile Edge Platform for Integrated Sensing and Communication (ISAC) Co-Optimization (NTU Budget)
  • Nanoantenna Spatial Light Modulators for Next-Gen Display Technologies (NSLM)
  • Nanosystems at the Edge
  • NTU-Delta Corporate Laboratory (Phase 2) (IAF-ICP)
  • Online Condition Monitoring System for Distribution Switchgear
  • P1 Soft Robotics Based on Integrated Torque Sensing in Arm Joints of Cobots
  • P1.1 Alternative Torque Sensors - SAW Sensors for Contact Control and Collision Detection in Robotic Outside Condition
  • P2 Novel Actuators for Robotic Applications
  • P6 Instantaneous Network Build-up for Surveillance /Positioning / Detection Tasks in Industrial Settings
  • P6 Instantaneous Network build-up for surveillance /positioning /detection tasks in industrial settings
  • P7 Degradation Prevention and Predictive Condition Monitoring
  • Project ARIDEN
  • Smart Mechatronic Lab for Industrial Collaborative Robotics in Manufacturing [NTU Internal Funding]
  • Work Package 1: Device Fabrication
  • Work Package 2A: Device Modeling, Circuit design and Packaging
  • WP4: Cognitive intelligent robotic sensing: 3D chip-integrated sub-THz radar, optical lidar, and light-field camera sensor with AI edge data fusion (IAF-ICP)
  • WP4.2 Development of GaN Power Amplifier Beyond 100GHz
US 2018-0064346 A1: Photo-Acoustic Sensing Apparatus And Methods Of Operation Thereof (2020)
Abstract: A photo-acoustic sensing apparatus (100) for non-invasive measurement of blood parameters of a subject (102) comprises a photo-acoustic sensor (104) for sensing photo-acoustic signals (106) induced when a region of the subject is illuminated by a light source (108). A first sensor processing module (112) may derive blood oxygen saturation using sensed photo-acoustic signals (114). A second sensor processing module (116) may derive blood core temperature using sensed photo-acoustic signals. A third sensor processing module (118) may derive blood glucose using sensed photo-acoustic signals. The sensing apparatus is configured to derive at least one of: a de-correlated value (120) of blood oxygen saturation of the subject; a de-correlated value (122) of blood core temperature of the subject; and a de-correlated value (124) of blood glucose of the subject.