刘洪海 - 哈尔滨工业大学（深圳） - 机电工程与自动化学院

个人简介

英国伦敦大学智能机器人博士学位，教授，欧洲科学院院士（MAE），国际电子与电气工程师协会会士（FIEEE）。主要从事多模态人机交互感知与理解、机器学习、机器视觉、医疗机器辅助智能系统理论及应用等方面的研究，研究成果并已在多自由度灵巧假肢、自闭症早期诊疗、脑卒中康复和欧盟猎兔犬火星计划等领域得到成功应用，取得了一系列具有国际影响的创新成果。主持欧盟框架、国自然重点和企业横向项目等项目，已发表200多篇国家权威杂志和会议论文包括多篇国际会议最佳论文奖，担任Springer《International Journal of Intelligent Robotics and Applications》共同主编，《IEEE Trans. Cybernetics》和《IEEE Trans. Industrial Informatics》等期刊编委。

研究领域

医疗人工智能、生物信息技术，计算机视觉,机器学习，机器人感知与认知

近期论文

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Liu, J., Wang, Z., Xu, K., Ji, B., Zhang, G., Wang, Y., Deng, J., Xu, Q., Xu, X. and Liu, H. (in press) Early Screening of Autism in Toddlers via Response-To-Instructions Protocol. IEEE Transactions on Cybernetics. Yang, X.C., Yan, J.P., Fang, Y.F., Zhou, D.L., and Liu, H. (2020) Simultaneous Prediction of Wrist/Hand Motion via Wearable Ultrasound Sensing, IEEE Transactions on Neural Systems and Rehabilitation Engineering 28(4):970-977 Yang, X.C., Zhou, Y., and Liu, H. (2020) Wearable Ultrasound-based Decoding of Simultaneous Wrist/Hand Kinematics, IEEE Transactions on Industrial Electronics. Liu, B., Cai, H., Ju, Z., & Liu, H. (2020). Multi-stage adaptive regression for online activity recognition. Pattern Recognition, 98, 107053. Wang, Z., Liu, J., He, K., Xu, Q., Xu, X. and Liu, H. (2019) Screening Early Children with Autism Spectrum Disorder via Response-to-Name Protocol, in press, IEEE Transactions on Industrial Informatics Zhou, Y., Zeng, J., Li, K., Fang, Y., & Liu, H. (2019). Voluntary and FES-induced Finger Movement Estimation Using Muscle Deformation Features. IEEE Transactions on Industrial Electronics. Yang, X., Yan, J., & Liu, H. (2019). Comparative Analysis of Wearable A-mode Ultrasound and sEMG for Muscle-Computer Interface. IEEE Transactions on Biomedical Engineering. Yang, X., Chen, Z., Hettiarachchi, N., Yan, J., & Liu, H. (2019). A Wearable Ultrasound System for Sensing Muscular Morphological Deformations. IEEE Transactions on Systems, Man, and Cybernetics: Systems. Yang, X., Yan, J., Chen, Z., Ding, H., & Liu, H. (2019). A proportional pattern recognition control scheme for wearable A-mode ultrasound sensing. IEEE Transactions on Industrial Electronics, 67(1), 800-808. Xia, W., Zhou, Y., Yang, X., He, K., & Liu, H. (2019). Toward Portable Hybrid Surface Electromyography/A-Mode Ultrasound Sensing for Human–Machine Interface. IEEE Sensors Journal, 19(13), 5219-5228. Yan, J., Yang, X., Sun, X., Chen, Z., & Liu, H. (2019). A Lightweight Ultrasound Probe for Wearable Human–Machine Interfaces. IEEE Sensors Journal, 19(14), 5895-5903.