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Brief Introduction:

Dr. Xin Zhang is an Associate Professor and Associate Research Fellow at Tianjin University. His research centers on brain-computer interfaces and smart functional assessment, non-stationary signal acquisition and analysis, machine learning and its biomedical applications. He receives his Ph.D. in Engineering Science from Simon Fraser University, Canada, under the supervision of Prof. Carlo Menon (Tier 1 Canada Research Chair, Professor at ETH Zurich), and holds M.Eng. and B.Eng. degrees from Southeast University and Shandong University, respectively. He has led numerous national and provincial research projects, including the NSFC Young Scientists Fund and sub-projects of the National Key R&D Program. As a core inventor, his patented technology for quantifying motor function using EEG has been granted in the United States, Japan and Canada, which has been successfully transferred to Health Tech Connex Inc. as core technologies for Neurocatch^®, and won the 2024 International Golden Bridge Award (Medical Equipment Category). He has published several key journal papers in top-tier journals such as IEEE TNSRE and Journal of Neural Engineering, and is deeply involved in international standardization for brain-computer interfaces, currently serving as Convenor of ISO/IEC JTC 1/SC 43 AG 4 and as an expert on multiple international committees.

Research Areas:

1) Brain-Computer Interfaces & Smart Assessment

Endogenous activation-mediated rehabilitation paradigms, closed-loop system design, and device development; EEG-based motor function quantification (multi-national patents, assigned and awarded).

2) Non-Stationary Signal Acquisition & Analysis

Multi-modal physiological signal (EEG, fNIRS) acquisition, denoising, and decoding; addressing non-stationarity and nonlinearity for system reliability.

3) Machine Learning in Biomedical Applications

Lightweight multi-dimensional attention networks, multi-modal fusion frameworks, cross-session domain adaptation; radiomics and neural networks for stroke risk and plaque vulnerability assessment.

Main Achievements：

[1]. Zhang X, Nan J, Xu M, et al. PSIs of EEG with refined frequency decomposition could prognose motor recovery before rehabilitation intervention. IEEE Trans. Neural Syst. Rehabil. Eng., 2023.

[2]. Zhang X, D’Arcy R, Menon C. Scoring upper-extremity motor function from EEG with artificial neural networks. J. Neural Eng., 2019.

[3]. Zhang X, Miao Z, Menon C, Zheng Y, Zhao M, Ming D. Priming cross-session motor imagery classification with a universal deep domain adaptation framework. Neurocomputing. 2023:126659. doi:10.1016/j.neucom.2023.126659

[4]. International patent group “Quantifying Motor Function Using EEG Signals” granted in the US, Japan, Canada, and Europe; technology transferred to Health Tech Connex Inc. and awarded the 2024 International Golden Bridge Award (Medical Device Category).

[5]. Contributor to international standards ISO/IEC TR 27599 (BCI use cases) and ISO/IEC TS 27571 (BCI data format for non-invasive brain information collection).

Honors & Awards:

Research Projects

[1]. NSFC Young Scientists Fund: Risk Assessment and Prediction of Stroke in TIA Patients, RMB 300,000, PI

[2]. National Key R&D Program Sub-project: Design and Implementation of an Intelligent Bionic Eye Information Interaction and Verification System, ~RMB 1,100,000, Sub-project Leader

[3]. National Key R&D Program Sub-project: Bidirectional Closed-loop BCI for Motor and Consciousness Disorder Rehabilitation, ~RMB 800,000, Sub-project Leader

[4]. China Postdoctoral Science Foundation Special Pre-funding: Deep Vascular-Neural Functional State Information Coupling, RMB 180,000, PI

[5]. Tianjin Natural Science Foundation Youth Project: Prediction of Carotid Artery Stenosis Using Combined Spectral CTA and High-Resolution MR, RMB 100,000, PI

[6]. Provincial/Ministerial Project: Active Health Management and Risk Assessment System Based on Human Physiological Information, RMB 100,000, PI

Awards

Ÿ 2024, Tianjin Science and Technology Progress Award Tier II

Ÿ 2023, National Teaching Achievement Award (Higher Education, Undergraduate) Tier II

Ÿ 2022, Tianjin Teaching Achievement Award Special Tier

Ÿ 2013, Full PhD Scholarship, China Scholarship Council

Ÿ 2013, Provost International Fellowship, Government of British Columbia, Canada

Social and Academic Appointments

Ÿ Convenor, ISO/IEC JTC 1/SC 43 AG 4 (Liaison and Communication Advisory Group)

Ÿ Expert Member, IEC/ISO JSyC BDC (Joint Systems Committee on Bio-Digital Convergence)

Ÿ Associate Editor, Frontiers in Psychology

Ÿ Reviewer for Neural Networks, IEEE TNSRE, Computers in Biology and Medicine, Biomedical Signal Processing and Control, and other journals

Ÿ Project editor and expert for multiple ISO/IEC international standards on brain-computer interfaces