Faculty profile
Lihong Zhang
Back to facultyThis profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a Memorial University of Newfoundland directory, so their courses may be missing. Find their university profile.
Research
Latest papers
Prediction of Whole-Body Tissue Composition from Regional Sub-Body CT Scans.
Journal of imaging informatics in medicine · 2026
Automatic Body Region Classification in CT Scans Using Deep Learning.
Journal of imaging informatics in medicine · 2026
Acceleration for Efficient Automated Generation of Operational Amplifiers.
Sensors (Basel, Switzerland) · 2024 · senior author
Latest funding
- $25,000
Quantum Electronic Design Automation for Automated Synthesis of Delta-Sigma Modulators
NSERC · 2025 · Principal investigator
- $25,000
Quantum-Optimized Stealth Antennas and Metasurfaces for Low-Observable UAVs
NSERC · 2025 · Principal investigator
- $53,000
Automated Synthesis of Analog and Mixed-Signal Integrated Circuits and Systems Powered by Advanced Machine Learning
NSERC · 2024 · Principal investigator
4 publications.
Prediction of Whole-Body Tissue Composition from Regional Sub-Body CT Scans.
Golzan M, Lee H, Chow V, Ngatched TMN, Zhang L, Ma D, Michalak M, Popuri K, Beg MF
Automatic Body Region Classification in CT Scans Using Deep Learning.
Golzan M, Lee H, Ngatched TMN, Zhang L, Michalak M, Chow V, Beg MF, Popuri K
Acceleration for Efficient Automated Generation of Operational Amplifiers.
Zhao Z, Liu J, Zhang L
Portable Wind Energy Harvesters for Low-Power Applications: A Survey.
Nabavi S, Zhang L
Quantum Electronic Design Automation for Automated Synthesis of Delta-Sigma Modulators
Principal investigators: Zhang, Lihong
Keywords: Computer software; Electrical and electronic machinery and equipment (including computer hardware)
Quantum-Optimized Stealth Antennas and Metasurfaces for Low-Observable UAVs
Principal investigators: Zhang, Lihong
Keywords: Electrical and electronic machinery and equipment (including computer hardware); Aerospace
Automated Synthesis of Analog and Mixed-Signal Integrated Circuits and Systems Powered by Advanced Machine Learning
Principal investigators: Zhang, Lihong
Keywords: vlsi electronic design automation; analog and mixed-signal integrated circuits and systems; methodologies and computer-aided-design tools; circuit and system topology synthesis; parameter sizing; layout synthesis and layout parasitic estimation; advanced machine learning; multi-agent reinforcement learning; explainable artificial intelligence (xai); high-dimensional multi-objective circuit/system optimization
A Dual-Arm Wafer Robot Handler for Precision Mechatronics and MEMS Characterizations
Principal investigators: Al Janaideh, Mohammad
Piezoelectric MEMS Vibration Energy Harvesters: Renewable Energy Source in the Portable Era (I2I Phase - Market Assessment)
Principal investigators: Zhang, Lihong
Ultra-Low Power SAR ADC for Low-Activity Signals (I2I-Lab2Market - Market Assessment)
Principal investigators: Zhang, Lihong
Multi-Axis Laser Interferometer for Position Measurements and Motion Feedback Control
Principal investigators: Al Janaideh, Mohammad
Nanometer-Resolution High-Speed Planar Positioning System
Principal investigators: AlJanaideh, Mohammad
3-D Laser Doppler Vibrometer for Versatile Engineering and Scientific Measurements
Principal investigators: AlJanaideh, Mohammad
Machine-Learning-Driven Synthesis Methodologies for Analog and RF Integrated Circuits in Advanced Nanometer Technologies
Principal investigators: Zhang, Lihong
Keywords: advanced CMOS and FinFET technologies; analog and RF integrated circuits; artificial-intelligence-inspired circuit design reasoning; circuit sizing and layout synthesis; circuit topology synthesis; constraint-driven circuit optimization flow; machine learning; methodologies and computer-aided-design tools; nonplanar nanometer technologies; VLSI electronic design automation
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
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