Papers
2
Total Citations
10
H-Index
2
About
Lian Zhang’s research bridges two transformative frontiers: assistive technology for neurodiverse populations and low-power hardware for robotic perception. Her pioneering work on adaptive multimodal virtual social interaction platforms for children with autism (2013, 6 citations) laid foundational insights into how virtual environments can be tailored to support social skill development—a contribution that resonates with growing interest in AI-driven therapeutic tools. More recently, Zhang has driven breakthroughs in hardware efficiency for autonomous systems. Her 2021 paper (4 citations) introduces a 64-channel ultrasound ASIC fabricated in 180nm CMOS, achieving a remarkable 7-meter object detection range while consuming only 4.3mW per channel. The chip’s Universal Energy Recycling TX (UERTX) architecture enables all-weather operation for metamorphic robotic 3D vision systems, all within a compact, lightweight form factor (5×5×5 cm³, 100g). This work addresses critical challenges in deploying robust, energy-efficient perception in field robotics. Zhang’s trajectory—from human-centered interaction design to cutting-edge integrated circuits—exemplifies a rare ability to span disciplines, creating technologies that are both socially impactful and technically elegant. Her innovations hold promise for next-generation robots that can see, sense, and interact more naturally with humans.
Research Focus
Key Achievements
Top Papers
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