Prof. Wang Zhongpeng | Neurotechnology – Associate professor at Tianjin University, China
Dr. Zhongpeng Wang is an accomplished associate professor and senior engineer at Tianjin University’s Academy of Medical Engineering and Translational Medicine. With a deep-seated commitment to neural engineering and translational biomedical innovation, Dr. Wang has swiftly established himself as a leading figure in the areas of brain-computer interfaces, rehabilitation engineering, and cognitive neuroscience. Since earning his doctorate in biomedical engineering in 2020, he has demonstrated a consistent trajectory of academic excellence, pioneering development in non-invasive brain stimulation and neurofeedback systems. His dedication to integrating neuroscience, engineering, and clinical application reflects his mission to enhance the quality of life for individuals affected by neurological disorders.
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Education:
Dr. Wang received his doctoral degree in Biomedical Engineering from Tianjin University, where he conducted multidisciplinary research on neural modulation and cognitive-motor rehabilitation. His graduate studies laid the technical and conceptual foundation for his future work in brain-computer interaction, cortical excitability analysis, and the development of neurotechnologies for clinical rehabilitation. His strong academic foundation is reflected in the originality and translational relevance of his research outcomes.
Experience:
Following his PhD, Dr. Wang advanced into a faculty role where he now leads multiple national and municipal-level research initiatives. His experience encompasses serving as Principal Investigator on five major funded projects, including those supported by the National Natural Science Foundation of China and the Ministry of Science and Technology. He has also been a core team member in the development of landmark technologies such as the “BrainTalker” neurochip series and the “ShenGong” artificial neural rehabilitation systems. His professional journey integrates rigorous academic research, advanced technology development, and interdisciplinary team leadership, contributing to the advancement of brain-computer interfacing and rehabilitation systems in China.
Research Interests:
Dr. Wang’s research interests lie at the intersection of brain-computer interface design, neurofeedback and cognitive training, neural rehabilitation, and disorders of consciousness. He is particularly focused on non-invasive neural modulation techniques such as transcranial magnetic stimulation and somatosensory electrical stimulation to enhance brain plasticity. His studies often combine EEG, EMG, and fNIRS data to develop hybrid systems that not only evaluate cortical activity but also guide individualized motor recovery programs. Moreover, his interest in sleep neurophysiology and signal processing continues to expand the frontiers of electrophysiological research in applied settings.
Awards:
Dr. Wang’s research excellence has been recognized with the National Second Prize for Teaching Achievements, and several of his projects have been selected for national and international showcases. He has delivered oral presentations at top international conferences, including the IEEE Engineering in Medicine and Biology Conference (EMBC) and the Neural Engineering Conference (NER). In addition to academic recognition, his patents have attracted attention for their real-world applicability in clinical diagnostics and rehabilitation, further validating the innovative nature of his work.
Publications:
Dr. Wang has published over 40 academic papers, with more than 20 as the first or corresponding author in peer-reviewed journals in the neuroengineering and rehabilitation domains. His most notable works include:
🧠 “Motor Imagery and Action Observation Induced EEG Activations to Guide Subject-Specific Training Paradigm”, IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE), 2023 — cited by 23 articles.
⚡ “Enhancing Motor Imagery Performance by Antiphasic 10 Hz Transcranial Alternating Current Stimulation”, IEEE TNSRE, 2023 — cited by 17 articles.
🧪 “Incorporating EEG and fNIRS Patterns to Evaluate Cortical Excitability and MI-BCI Performance”, IEEE TNSRE, 2023 — cited by 21 articles.
🧬 “EEG and EMG Patterns to Evaluate BCI-Based Long-Term Motor Training”, IEEE Transactions on Human-Machine Systems, 2022 — cited by 30 articles.
🛌 “A Novel Approach to Automatic Sleep Stage Classification Using Forehead Electrophysiological Signals”, Heliyon, 2022 — cited by 12 articles.
🖥️ “BCI Visual-Haptic Neurofeedback Training Improves Cortical Activation in Motor Imagery”, Journal of Neural Engineering, 2019 — cited by 41 articles.
🧩 “BCI Monitor Enhances EEG and Cerebral Hemodynamic Activations During Motor Training”, IEEE TNSRE, 2019 — cited by 39 articles.
Conclusion:
Dr. Zhongpeng Wang exemplifies the qualities of a modern biomedical researcher—curious, collaborative, and deeply committed to solving complex clinical problems through innovative engineering. His strong academic record, patent portfolio, and interdisciplinary projects collectively demonstrate a profound impact on the field of neural rehabilitation and human-machine interaction. With his work featured on journal covers, recognized at national levels, and adopted in technological advancements, he continues to push boundaries in neuroengineering research. Dr. Wang’s outstanding contributions to science, education, and innovation make him a highly deserving candidate for the Best Researcher Award.