Imperial College London

Dr Peilong Feng

Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Research Associate
 
 
 
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Contact

 

peilong.feng14 Website

 
 
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Location

 

B422Bessemer BuildingSouth Kensington Campus

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Summary

 

Summary

Peilong Feng is a postdoctoral researcher in Next Generation Neural Interfaces Lab.

Education

2020 PhD from Imperial College London, UK

         Topic: Wireless Power Transfer and Data Communication

2015 MSc - Distinction from Imperial College London, UK

         Major: Analogue and Digital Integrated Circuit Design

2012 MSc - Distinction from University of Southampton, UK

         Major: Microelectronic Systems Design

Work Experience

2020- Now Postdoc Research

Next Generation Neural Interfaces Lab, Imperial College London, UK

2012-2014 Electronic Engineer

Shanghai Research Institute, China Coal Technology and Engineering Group, China

Selected Publications

Journal Articles

Zhang Z, Feng P, Oprea A, et al., 2023, Calibration-free and hardware-efficient neural spike detection for brain machine interfaces, IEEE Transactions on Biomedical Circuits and Systems, Vol:17, ISSN:1932-4545, Pages:725-740

Savolainen O, Zhang Z, Feng P, et al., 2022, Hardware-efficient compression of neural multi-unit activity, Ieee Access, Vol:10, ISSN:2169-3536, Pages:117515-117529

Savolainen OW, Zhang Z, Feng P, et al., 2022, Hardware-Efficient Compression of Neural Multi-Unit Activity

Antoniadis D, Mifsud A, Feng P, et al., 2022, An Open-Source RRAM Compiler, 2022 20th Ieee Interregional Newcas Conference (newcas), Pages:465-469

Feng P, Yeon P, Cheng Y, et al., 2018, Chip-scale coils for millimeter-sized bio-implants, IEEE Transactions on Biomedical Circuits and Systems, Vol:12, ISSN:1932-4545, Pages:1088-1099

Conference

Ahmadi N, Cavuto ML, Feng P, et al., 2019, Towards a distributed, chronically-implantable neural interface, 9th IEEE/EMBS International Conference on Neural Engineering (NER), IEEE, Pages:719-724, ISSN:1948-3546

Feng P, Constandinou TG, 2018, Robust wireless power transfer to multiple mm-scale freely-positioned Neural implants, IEEE Biomedical Circuits and Systems (BioCAS) Conference 2018, IEEE, Pages:363-366

Leene L, Maslik M, Feng P, et al., 2018, Autonomous SoC for neural local field potential recording in mm-scale wireless implants, IEEE International Symposium on Circuits and Systems, IEEE, Pages:1-5, ISSN:2379-447X

Szostak K, Mazza F, Maslik M, et al., 2017, Microwire-CMOS Integration of mm-Scale Neural Probes for Chronic Local Field Potential Recording, IEEE Biomedical Circuits and Systems (BioCAS) Conference, IEEE, Pages:492-495

Feng P, Constandinou TG, Yeon P, et al., 2017, Millimeter-Scale Integrated and Wirewound Coils for Powering Implantable Neural Microsystems, IEEE Biomedical Circuits and Systems (BioCAS) Conference, Pages:488-491

More Publications