Imperial College London


Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Academic Visitor



yan.liu06 CV




Electrical EngineeringSouth Kensington Campus






Dr Yan Liu currently is an associate professor in Shanghai Jiaotong university (PWP in SJTU), he is also a visiting academic in Centre of Bio-inspired Technology, Department of Electrical and Electronic, Imperial College. He was working within Next Generation Neural Interfaces (NGNI) Lab during his postdoc research in Imperial College, and involved in CANDO , iProbe, NGNI, I2MOVE and Senseback projects.

His research interest includes low power mixed-signal integrated circuits, biomedical circuits and systems, Lab-on-chip.


Dr Yan Liu received the B.Eng degree in 2006 from Zhejiang University, China, the M.Sc degree in 2007 and Ph,D in 2012 from Electrical and Electronic Engineering at Imperial College London, UK. From 2012 to 2019 he was a research associate and research fellow with NGNI lab. Since 2020 he is an associate professor in Shanghai Jiaotong university



Pan L, Chen M, Chen Y, et al., 2021, An Energy-Autonomous Power-and-Data Telemetry Circuit With Digital-Assisted-PLL-Based BPSK Demodulator for Implantable Flexible Electronics Applications, Ieee Open Journal of Circuits and Systems, Vol:2, Pages:721-731

Luo J, Firflionis D, Turnball M, et al., 2020, The neural engine: a reprogrammable low power platform for closed-loop optogenetics, Ieee Transactions on Biomedical Engineering, Vol:67, ISSN:0018-9294, Pages:3004-3015

Williams I, Brunton E, Rapeaux A, et al., 2020, SenseBack-an implantable system for bidirectional neural interfacing, Ieee Transactions on Biomedical Circuits and Systems, Vol:14, ISSN:1932-4545, Pages:1079-1087

Liu Y, Constandinou TG, Georgiou P, 2019, Ultrafast large-scale chemical sensing with CMOS ISFETs: a level-crossing time-domain approach, Ieee Transactions on Biomedical Circuits and Systems, Vol:13, ISSN:1932-4545, Pages:1201-1213


Mirza KB, Kulasekeram N, Liu Y, et al., 2019, System on chip for closed loop neuromodulation based on dual mode biosignals, 2019 IEEE International Symposium on Circuits and Systems (ISCAS), Institute of Electrical and Electronics Engineers (IEEE), ISSN:2158-1525

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