医学信号处理，可穿戴式和植入体技术，脑机接口，神经康复工程，移动医疗和医疗大数据技术等领域。

方强教授于2017年加盟汕头大学，出任汕大生物医学工程系的创系主任。他的主要研究兴趣包括医学信号处理，可穿戴式和植入体技术，神经康复工程以及移动医疗和医疗大数据技术等。方强教授于2000年获得澳大利亚蒙纳士大学生物医学工程博士学位，从2002年起获得澳大利亚皇家墨尔本大学的永久教职，出任过该校的实验室主任、学科负责人以及代理系主任等职位和职务。方强博士曾担任中科院百人计划研究员（A类）、中科院研究室主任和博士生导师。 

方强教授一共辅导毕业了博士生10名，硕士生50多名，在国内外获得的研究资金总额超过300万美元，出版了4本学术专著的章节，以第一作者或者通讯作者发表了60多篇期刊论文（含50篇SCI论文）和70多篇同行评审的会议论文（EI），并且拥有多项中国专利，担任多家SCI期刊的审稿人和客座编辑，也是美国生物医学工程学会（BMES）主编由Springer 出版的Biomedical Engineering Education 的创刊副主编（Associate Editor）之一。曾经出任吉林省吉林市的海外科技顾问、嘉兴第二医院的学术顾问，并获得过竞争性的上海市教委的“海外名师”。

方强教授欢迎广大同行和同学们和他联系，合作开展相关项目的研究。

邮箱：qiangfang@stu.edu.cn

 代表性学术文章：

1. M Lin, J Huang, J Fu, Y Sun, Q Fang*, “A VR-Based Motor Imagery Training System with EMG-Based Real-Time Feedback for Post-Stroke Rehabilitation,” in IEEE Transactions on Neural Systems and Rehabilitation Engineering

2. Chi S. Choy, Shaun L. Cloherty, Elena Pirogova, Qiang Fang*, “Virtual Reality Assisted Motor Imagery for Early Post-Stroke Recovery: A Review,” in IEEE Reviews in BME, 2022 Apr, pp. 487-498, doi: 10.1109/RBME.2022.3165062

3. A. Kumar, Q. Fang* and E. Pirogova, “Classification of Error-Related Potentials Evoked During Stroke Rehabilitation Training,” in Journal of Neural Engineering, vol.18, 056022 (2021).

4. S. S. Mahmoud, A. Kumar, Y. Tang, Y. Li, X. Gu, J. Fu and Qiang Fang*, "An Efficient Deep Learning Based Method for Speech Assessment of Mandarin-Speaking Aphasic Patients," in IEEE Journal of Biomedical and Health Informatics

5. Zhe Zhang, Qiang Fang*, Xudong Gu, “Objective Assessment of Upper Limb Mobility for Post-stroke Rehabilitation”, IEEE Transactions on Biomedical Engineering

6. Zhe Zhang, Luca Liparulo, Massimo Panella, Xudong Gu and Qiang Fang*, “A Fuzzy Kernel Motion Classifier for Autonomous Stroke Rehabilitation”, DOI 10.1109/JBHI.2015.2430524, IEEE Journal of Biomedical and Health Informatics, May 2015. (SCI)

7. Z. Zhang, Q. Fang*, X. D. Gu, “Fuzzy inference system based automatic Brunnstrom stage classification for upper-extremity rehabilitation”, Expert Systems with Applications, Vol 41 Issue 4, March, 2014, pp. 1973-1980. (SCI)

8. Qiang Fang*, Lei Yu, Peng Li, “A new insulin-glucose metabolic model of type 1 diabetes mellitus: An in silico study”,Computer Methods and Programs in Biomedicine, Vol. 120, No. 1, pp. 16–26, June 2015.

9. Shuenn-Yuh Lee, Yu Cheng Su, Ming-Chun Liang, You-Yin Chen, Cheng-Han Hsieh, Chung-Min Yang, Hsin-Yi Lai, Jou-Wei Lin, and Qiang Fang, “A Programmable Implantable Micro-stimulator SoC with Wireless Telemetry: Application in Closed-loop Endocardial Stimulation for Cardiac Pacemaker”, IEEE Transactions on Biomedical Circuits and Systems, vol. 5, no.6, pp. 5

10. Q. Fang*, S. Y. Lee, H. Permana, K. Ghorbani, and I. Cosic, “Developing a Wireless Implantable Body Sensor Network in MICS Band”, IEEE Transactions on Information Technology in Biomedicine. Vol. 15, No. 4, pp567-576, 2011.