Integrated Circuit Science and Engineering PhD in Engineering
Advisor: Associate Professor Hu Chen
Research direction: AI compilers for NPUs
Resume
PhD Student in Integrated Circuit Science and Engineering Research Direction: AI Compilers for NPUs
My training spans automation, robotics, embedded systems, photoacoustic imaging, brain function monitoring, and intelligent computing
These experiences help me understand complete intelligent systems from hardware sensing, system control, signal acquisition, and algorithmic processing to compiler optimization, with the goal of becoming an interdisciplinary talent connecting life science, robotics, AI chips, and intelligent computing
Research
I focus on the full sensing-computing-control chain in intelligent systems, from multimodal signal acquisition in robotics and brain-computer interfaces to real-time inference for embodied intelligence, AI chips, and NPU compiler optimization
Education
Advisor: Associate Professor Hu Chen
Research direction: AI compilers for NPUs
Advisors: Professor Sihua Yang Distinguished Researcher Zhiyang Wang
Major courses: laser physics, nonlinear optics, biomedical photonics, photoacoustic imaging technology and biological applications
Thesis: head-mounted multimodal optical/acoustic technology for cerebral lymphatic-neurovascular activity monitoring and closed-loop ultrasound modulation
Major courses: automatic control, computer control, motion control, pattern recognition, microcomputer principles, and embedded systems
Graduation project: STM32-based remote somatosensory robotic arm design
Outcomes
Experience
Conducted research on photoacoustic imaging, brain function monitoring, and closed-loop ultrasound modulation, building head-mounted multimodal optical/acoustic systems that integrate optics, acoustics, electronics, and algorithmic processing for dynamic neurovascular-lymphatic observation and precise modulation
Led robotic and embedded-control projects, covering system planning, firmware development, sensor integration, team training, and hardware-software debugging across quadruped robots, robotic arms, and automation devices
Projects
Built a head-mounted device using MEMS technology, integrating photoacoustic imaging and EEG to dynamically monitor lymphatic, vascular, and neural activity and realize closed-loop ultrasound stimulation for precise modulation
Used a fast-axis voice coil motor and slow-axis stepper motor to acquire wide-range photoacoustic images at higher speed, and obtained laser wavelengths through stimulated Raman effects for structural, oxygen saturation, and blood flow functional imaging
Combined a fast-axis galvanometer, slow-axis stepper motor, and line-focusing ultrasound transducer for rapid wide-range photoacoustic acquisition, enabling clear vascular imaging of the brain, large intestine, and placenta
Independently developed a remote somatosensory robotic arm and implemented torque feedback for the gripper
Independently developed an automatic bathing machine, implementing washing and drying functions through mechanical design, software control, and peripheral communication
Collaboratively developed a quadruped bionic robot and was responsible for the control program, realizing movement, jumping, obstacle avoidance, and line tracking
Awards