Imperial College London


Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Research Fellow







Electrical EngineeringSouth Kensington Campus





Dr Yan Liu

I'm a research fellow in Centre of Bio-inspired Technology, EEE department.


I started my PhD study on ISFETs based smart chemical sensing systems under supersvison of Prof. Chris Toumazou in EE, Imperial College. Since then, I have been working with supervision of Dr Timothy Constandinou to develop next generation neural interface NGNI. I'm currently working at development low power low noise circuits for neural recording and signal processing..


My Research interest includes:

1: Biochemical and chemical sensors.

2: Sensor interface.

3. Lab-on-chip Applications

3: Low power and Low noise analogue circuit for electrophysiology recordings.

4: Analogue signal processing circuits for neural signal

5: CMOS Data converter.

6. Power management.



Liu Y, Pereira JL, Constandinou TG, 2018, Event-driven processing for hardware-efficient neural spike sorting, Journal of Neural Engineering, Vol:15, ISSN:1741-2560

Ghoreishizadeh SS, Haci D, Liu Y, et al., 2017, Four-Wire Interface ASIC for a Multi-Implant Link, Ieee Transactions on Circuits and Systems I-regular Papers, Vol:64, ISSN:1549-8328, Pages:3056-3067


Gao C, Ghoreishizadeh S, Liu Y, et al., 2017, On-chip ID generation for multi-node implantable devices using SA-PUF, IEEE International Symposium on Circuits and Systems (ISCAS), IEEE, Pages:678-681

Maslik M, Liu Y, Lande TS, et al., 2017, A charge-based ultra-low power continuous-time ADC for data driven neural spike processing, IEEE International Symposium on Circuits and Systems (ISCAS), IEEE, Pages:1420-1423

Haci D, Liu Y, Constandinou TG, 2017, 32-channel ultra-low-noise arbitrary signal generation platform for biopotential emulation, IEEE International Symposium on Circuits and Systems (ISCAS), IEEE, Pages:698-701

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