Personal Profile

王峰，工学博士，中国地质大学（武汉）自动化学院副教授，日本学术振兴会海外特别研究员（JSPS Fellow），中国地质大学（武汉）地大学者-青年优秀人才计划入选者，IEEE产业电子协会（IEEE-IES）Human Factors专业委员会委员，中国人工智能学会青年工作委员会委员，中国自动化学会动态学习与智能医学（筹）专委会委员，国际学术期刊Journal of Advanced Computational Intelligence and Intelligent Informatics编委、Intelligence & Robotics青年编委、Human-Centric Intelligent Systems青年编委。

2018年5月毕业于中南大学计算机科学与技术专业，获得工学博士学位；2018年6月进入中国地质大学（武汉）博士后流动站；2019年入选日本学术振兴会(JSPS) 海外特别研究员，于2019年4月至2021年4月由日本学术振兴会（JSPS）资助，在日本东京工科大学担任特别研究员；2021年5月进入中国地质大学（武汉）自动化学院任副教授。

主要从事可解释人工智能、运动意图识别、康复机器人及人机交互等方面的研究。近年来主持国家自然科学基金青年项目1项、中央高校杰出人才培育基金项目1项、中国博士后科学基金面上资助项目2项、日本学术振兴会科研资助项目1项、校企合作研究项目2项，参与国家自然科学基金重点项目、湖北省技术创新专项重大项目、“移动医疗”教育部-中国移动联合实验室项目等多个项目。发表相关学术论文二十余篇，包括IEEE Internet of Things Journal、Information Sciences、Journal of Network and Computer Applications、Future Generation Computer Systems等计算机和人工智能领域国际重要期刊论文、IFAC 世界控制大会等重要国际学术会议论文，申请及授权相关国家发明专利11项。

近期主要学术论文：

[1]   Ruoyu Jiang, Jinhua She, Xiang Yin, Lulu Wu, Feng Wang*, Seiichi Kawata, "Vibration suppression based on improved adaptive optimal arbitrary-time-delay input shaping," Journal of Dynamic Systems, Measurement, and Control, 2025, DOI: 10.1115/1.4067652.

[2]   Feng Wang, D.T. Semirumi, Anqing He, Zhenghui Pan, and A. Alizadeh, "Physical, mechanical characterization, and artificial neural network modeling of biodegradable composite scaffold for biomedical applications," Engineering Applications of Artificial Intelligence, 2024, 136: 108889.

[3]   Feng Wang, Xiaohu Ao, Min Wu, Seiichi Kawata, and Jinhua She, “Explainable deep learning for sEMG-based similar gesture recognition: A Shapley-value-based solution,”Information Sciences, 2024, 672: 120667.

[4]   Feng Wang, Jinhua She, Guojun Wang, Yasuhiro Ohyama and Min Wu, "Dual-Task Network Embeddings for Influence Prediction in Social Internet of Things," IEEE Internet of Things Journal, 2023, 10(8): 6586-6597.

[5]   Xiaohu Ao, Feng Wang*, Rennong Wang, and Jinhua She, Muscle Synergy Analysis for Gesture Recognition Based on sEMG Images and Shapley Value, Intelligence & Robotics, 2023, 3(4): 495-513.

[6]   Feng Wang, Jinhua She, Yasuhiro Ohyama, Wenjun Jiang, Geyong Min, Guojun Wang, and Min Wu. “Maximizing Positive Influence in Competitive Social Networks: A Trust-based Solution”, Information Sciences, 2021, 546: 559-572.

[7]   Feng Wang, J. She, Y. Ohyama, and M. Wu. “Learning Multiple Network Embeddings for Social Influence Prediction”, The 21st World Congress of the International Federation of Automatic Control (21st IFAC World Congress), 2020: 2868-2873.

[8]   Feng Wang, Wenjun Jiang, Guojun Wang, and Song Guo. “Influence Maximization by Leveraging the Crowdsensing Data in Information Diffusion Network”, Journal of Network and Computer Applications, 2019, 136: 11-21.

[9]   Feng Wang, Wenjun Jiang, Xiaolin Li, and Guojun Wang. “Maximizing Positive Influence Spread in Online Social Networks via Fluid Dynamics”, Future Generation Computer Systems-The International Journal of eScience, 2018, 86: 1491-1502.

[10] Feng Wang, Jianbin Li, Wenjun Jiang, and Guojun Wang. “Temporal Topic-based Multi-dimensional Social Influence Evaluation in Online Social Networks”, Wireless Personal Communications, 2017, 95 (3): 2143-2171.