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Qiang Zhou

周锵

Engineering Doctorate (EngD) Student

EngD Candidate, City University of Hong Kong | M.Sc., University of Nottingham Ningbo China

zero.zhouqiang@gmail.com

About

Qiang Zhou is an Engineering Doctorate (EngD) student in the brain-computer interface area at City University of Hong Kong. His doctoral work explores non-invasive optogenetic brain-computer interface systems that combine focused ultrasound, mechanoluminescent nanomaterials, neural-signal acquisition, and closed-loop feedback for precise deep-brain neuromodulation.

Before beginning his EngD studies, he served as Vice President of Zhejiang Neurons Medical Technology Co., Ltd., where he led the development and translation of flexible wearable EEG monitoring and portable neuromodulation devices. His experience spans flexible electronics, EEG/EOG signal processing, deep-learning sleep staging, medical-device quality systems, regulatory registration, and technology commercialization.

Research Interests

Non-invasive Optogenetic BCIFocused-Ultrasound NeuromodulationMechanoluminescent NanomaterialsEEG/EOG Signal DecodingClosed-loop Neural InterfacesFlexible BioelectronicsNeurodegenerative Disease ApplicationsMedical Device Translation

Education

Engineering Doctorate (EngD) in Brain-Computer Interface

City University of Hong Kong, Hong Kong SAR, China

M.Sc. in Finance and Investment

University of Nottingham Ningbo China, Ningbo, China

Sep 2017 – Nov 2018

B.B.A. in Business Administration

University of Michigan–Flint, Flint, USA

Sep 2015 – Jun 2017

Selected Research Projects

YaoXing Sonogenetic Brain-Computer Interface

2025 – Present

Project Lead

Developing a non-invasive focused-ultrasound optogenetic platform for precise deep-brain neuromodulation using mechanoluminescent nanomaterials and closed-loop EEG feedback.

  • Combines focused-ultrasound scanning with intravenously delivered, surface-functionalized mechanoluminescent nanoparticles.
  • Uses localized blue-light emission for optogenetic activation and infrared emission for real-time imaging and localization.
  • Targets Parkinson's disease as the first application, with neural-circuit intervention focused on deep nuclei including the STN and GPe.

Patch-type Polysomnography Monitor and Portable Neuromodulation System

2020 – Present

Co-founder and R&D Lead

Led the development of wearable EEG monitoring and portable transcranial electrical stimulation systems integrating flexible electronics, physiological interfaces, and intelligent algorithms.

  • Developed scalable transfer printing for flexible electrode arrays and mixed EEG/EOG sleep-stage interpretation.
  • Built lightweight CRNN sleep-staging models and coordinated hardware, algorithm, and software development.
  • Established ISO 13485-aligned R&D processes and supported NMPA Class-II medical-device registration and clinical-validation planning.

Selected Awards & Honors

Selected for the Zhejiang Provincial 'Sharpshooter' Science and Technology Program

Jan 2025

National High-tech Enterprise Certification

Jun 2021

Third Prize, China Science and Technology Achievements Innovation and Entrepreneurship Competition

2019

Global Elite Scholarship, University of Michigan–Flint

2015 & 2016

Technical Skills

Optogenetic BCI System IntegrationFocused UltrasoundEEG/EOG/EMG AcquisitionClosed-loop Neural DecodingCRNN Sleep StagingFlexible ElectronicsNeuromodulation Device R&DISO 13485 Quality SystemsNMPA Medical Device RegistrationTechnology Transfer