Academic Profile : Faculty

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Prof Zheng Yuanjin
Professor, School of Electrical & Electronic Engineering
External Links
 
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
 
  • Online Condition Monitoring System for Distribution Switchgear
  • Low-Voltage Bias GaN-on-Si for Mobile Applications
  • Work Package 2A: Device Modeling, Circuit design and Packaging
  • Project ARIDEN
  • 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
  • NF1.2: Comprehensive and Advanced Optical Design and Nanofabrication Technique for Domain Niche and Emerging Applications (IAF-ICP) - 01/11/2023 to 31/10/2027
  • Work Package 1: Device Fabrication
  • A Flexible Optoacoustic Blood Stethoscope for Non-invasive Multiparametric Cardiovascular Monitoring
  • NF1.1: Comprehensive and Advanced Optical Design and Nanofabrication Technique for Domain Niche and Emerging Applications (IAF-ICP) - 01/11/2023 to 31/10/2027
  • 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)
  • Delta - NTU Corporate Laboratory (Phase 2) (Delta)
  • Multi-Sensor Mobile Edge Platform for Integrated Sensing and Communication (ISAC) Co-Optimization (NTU Budget)
  • LEES+ Monolithic CMOS + GaN HEMT Integrated Circuits for 5G and Beyond
  • WP4.2 Development of GaN Power Amplifier Beyond 100GHz
  • NTU-Delta Corporate Laboratory (Phase 2) (IAF-ICP)
  • Advanced Ultrasound Imaging System With Enhanced Sensitivity and Resolution
  • 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)
  • A MEMS Enhanced Deep Cryogenic Fully Functional Quantum Gate Interface for Large Scale Quantum Computing
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.