Shuanghua Liu

dblp:370/6492 · DBLP profile ↗
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4ranked-venue papers
3as first author
4since 2021 · last 2026
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 4 · 3 first-author · 4 since 2021
YearPublicationVenuePosition
2026 A Low-Power Tunable Dynamic-Range ISFET Sensor with In-Pixel Incremental Σ∆ Quantisation
Shuanghua Liu, Pantelis Georgiou
ISCAS1
2026 An ISFET based Multi-Modal Low-Power Chopper-Stabilised Analogue Front-End for Wearable Physiological and Sweat Monitoring
Shuanghua Liu, Haotian Yuan 0003, Junming Zeng, Pantelis Georgiou
ISCAS1
2026 FPGA-Accelerated Real-Time Image Reconstruction For CMOS Electrochemical Sensing Arrays
Tom Zhou, Shuanghua Liu, Pantelis Georgiou
ISCAS2
2024 A Low Power Analogue Compressed Sensing Approach for CMOS ISFET Arrays
abstract
In this work, we propose a novel approach to integrate a scalable compressed sensing methodology in the analogue domain with a CMOS ISFET array. A current conveyor is employed with a switched capacitor to encode the output current from each ISFET sensor to a corresponding charge onto a capacitor, following by a pseudo-random non-zero diagonal sampling matrix that is generated by Linear Feedback Shift Registers (LSFR) for array sampling. The design also features a 12-bit Successive Approximation Register (SAR) ADC, enabling power efficient conversions at 50 KSamples/s using a 1.25 MHz clock, with an ENOB of 10.3. The 32 × 32 array is divided into 16 clusters, each containing 64 pixels arranged in an 8 × 8 configuration serving as a compressed sensing unit block. The overall system is designed under a 65 nm process occupying a silicon area of 0.375 mm2. It operates at a programmable frame rate of 30 - 240 fps, with an overall power consumption of 17.13 -117.23 μW, and a lowest energy per pixel of 394 pJ in compressed sensing mode. We verify the performance of the system with a PSNR comparison for image quality under two scenarios where CS is either enabled or disabled.
Shuanghua Liu, Junming Zeng, Pantelis Georgiou
ISCAS1