Imperial College London


Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Visiting Researcher



s.luan Website




422Bessemer BuildingSouth Kensington Campus





Song Luan received the M.Sc. in analogue and digital integrated circuit design and Ph.D. degrees in biomedical microelectronics engineering from Imperial College London in 2010 and 2014 respectively.In 2014, he works as a research associate in the Next Generation Neural Interfaces Lab.

He has designed different types of integrated neural stimulation circuits and systems with 0.35 and 0.18 um process. He is also an advanced engineer in PCB, firmware and software development for in-house custom hardware.

His main research interests include chronic implantable neural interfaces and its applications, low power microelectronics and wireless power/data link.



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

Luan S, Williams I, Maslik M, et al., 2018, Compact standalone platform for neural recording with real-time spike sorting and data logging, Journal of Neural Engineering, Vol:15, ISSN:1741-2552, Pages:1-13

Liu Y, Luan S, Williams I, et al., 2017, A 64-Channel Versatile Neural Recording SoC with Activity Dependant Data Throughput, Ieee Transactions on Biomedical Circuits and Systems, Vol:11, ISSN:1932-4545, Pages:1344-1355

Luan S, Williams I, Maslik M, et al., 2017, Compact Standalone Platform for Neural Recording with Real-Time Spike Sorting and Data Logging


Williams I, Rapeaux A, Luan S, et al., 2018, Waveform Generator, GB

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