Imperial College London

MrZhengZhang

Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Research Postgraduate
 
 
 
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Contact

 

zheng.zhang18 Website CV

 
 
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Location

 

Electrical EngineeringSouth Kensington Campus

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Summary

 

Summary

Biography


Zheng Zhang received the B.E degree in Internet of Things from Beijing University of Technology (BJUT), China, and University College Dublin (UCD), Ireland, with GPA: 4.17/4.2,  in 2018, and he was awarded as top 10 graduates of BJUT (Only two qualified undergraduate students). He received the M.S. degree in Communications and Signal Processing from Imperial College London , UK,with distinction in 2019. Since October 2019, he has been working in Next Generation Neural Interfaces (NGNI) Lab, Imperial College London, UK, as a PhD student.

PhD Thesis TOPIC


Ultra low power signal processing and hardware implementation on closed-loop control neuromodulation

Research interests


Digital Signal Processing, Brain-Machine Interfaces, Biomedical Signal Processing, Healthcare, Embedded System Design, Machine Learning, Deep Learning and Artificial Intelligence.

Publications


Conference


Yang L, Zhang Z, et al., Explainable Text-Driven Neural Network for Stock Prediction, 2018 5th IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS), Nanjing, China, 2018, pp. 441-445

Access Link


Z. Zhang and T. G. Constandinou, "A robust and automated algorithm that uses single-channel spike sorting to label multi-channel Neuropixels data," 2021 10th International IEEE/EMBS Conference on Neural Engineering (NER), 2021, pp. 783-787

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Publications

Journals

Zhang Z, Constandinou T, 2021, Adaptive spike detection and hardware optimization towards autonomous, high-channel-count BMIs, Journal of Neuroscience Methods, Vol:354, ISSN:0165-0270

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