个人简介
代表论著
赵健，上海交通大学集成电路学院教授、博士生导师。主要研究方向包括：（1）高性能MEMS惯性传感芯片，（2）智能视觉/触觉感知芯片，（3）生物医疗电路与系统。致力于推动混合信号集成电路技术向系统化、自动化、智能化转变，并积极探索其在国防工业、具身智能、智慧医疗等领域的落地应用。
赵健老师主持国家重点研发计划青年科学家项目、国家自然科学基金面上项目等国家级科研项目。曾任IEEE Transactions on Circuits and Systems I: Regular Papers（TCAS-I）、IEEE Transactions on Biomedical Circuits and Systems（TBioCAS）等期刊编委，入选IEEE电路与系统协会（CASS）杰出讲师（Distinguished Lecturer），荣获BioCAS二十周年青年贡献奖，并受邀在ISCAS、ICEIC等国际会议作Tutorial报告。
赵健老师指导学生在ISSCC、JSSC等集成电路设计领域顶级会议与期刊上发表多篇高水平论文，多人次荣获国家奖学金，指导博士生入选中国科协青年人才托举工程，指导研究生在中国研究生创"芯"大赛中荣获"创芯之星"奖1次、一等奖3次。
课题组欢迎对高性能传感芯片与智能感知系统兴趣浓厚，对AI辅助电路与系统设计充满热情的学生报名加入。[J5] Zhao Jian , Wang Xi , Zhao Yang , Xia Guo Ming , Qiu An Ping , Su Yan and Xu Yong Ping, “A 0.23-micro-g Bias Instability and 1-micro-g/sqrt(Hz) Acceleration Noise Density Silicon Oscillating Accelerometer With Embedded Frequency-to-Digital Converter in PLL”, IEEE Journal of Solid-State Circuits, pp. 1053–1065, 2017.
[J3] Zhao Jian , Zhao Yang , Wang Xi , Xia Guoming , Qiu Anping , Su Yan and Xu Yong Ping, “A system decomposition model for phase noise in silicon oscillating accelerometers”, IEEE Sensors Journal, pp. 5259–5269, 2016.
[C17] Zhao Jian , Mao Jingna , Sun Wenyu , Huang Yuxuan , Yang Yixiong , Yang Huazhong and Liu Yongpan, “A 4-Mbps 41-pJ/bit On-off Keying Transceiver for Body-channel Communication with Enhanced Auto Loss Compensation Technique”, 2019 IEEE Asian Solid-state Circuits Conference (ASSCC), pp. 1–4, 2019.
[C11] Zhao Jian , Mao Jingna , Zhou Tong , Lai Longqiang , Yang Huazhong and Zhao Bo, “An Auto Loss Compensation System for Non-contact Capacitive Coupled Body Channel Communication”, 2018 IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1–5, 2018.
[C8] Zhao Jian , Mao Jingna , Wang Guijin , Yang Huazhong and Zhao Bo, “A miniaturized wearable wireless hand gesture recognition system employing deep-forest classifier”, 2017 IEEE Biomedical Circuits and Systems Conference (BioCAS), pp. 1–4, 2017.
[C5] Zhao Jian , Xia Guoming , Zhao Yang , Qiu Anping and Su Yan, “A low power MEMS-ASIC silicon resonant accelerometor with sub-micro-g bias instability and 30g full-scale”, 2016 IEEE International Symposium on Inertial Sensors and Systems, pp. 46–49, 2016.