1.主要教育与工作经历 [1]2003.08-2009.03,本硕连读,西安电子科技大学 [2]2009.07-2012.09,博士,工程学院,University of HULL [3]2012.12-至今,永利yl6776,历任讲师、副教授、教授 [4]2015.07-2016.08,教育部科技发展中心,借调 2.主要科研项目:主持或参与国家重点研发计划、国家自然科学基金、中央军委科技委项目、山东省重点研发计划等项目10余项,累计科研经费近1000余万元。代表性项目如下: [1]国家自然科学基金面上项目,NF-κB信号通路数学建模及其在多发性骨髓瘤骨病发病机制中应用研究,2022/01-2025/12,57万元,第1位 [2]国家自然科学基金面上项目,恶性肿瘤转移性骨病发病机理生物数学建模及疗法预测评价方法研究,2017/01-2020/12,62万元,第1位 [3]科技部重点研发计划课题,多肢体协调控制与辅助作业策略研究,2019/01-2021/12,182万,第1位 [4]中央军委科技委创新特区项目,***关键技术,80万,2019/08-2020/08,第1位 [5]国家自然科学基金青年项目,多发性骨髓瘤骨病形成过程数学建模及治疗方法模拟评测研究,2014/01-2016/12,23万元,第1位 3.代表性论文:在领域权威或经典期刊发表SCI论文45篇,其中10篇代表性论文如下: [1] Bing Ji*, Qihang Dai, Xinyu Ji, Weiming Wu, Qinghua Sun, Hecheng Ma, Menglin Cong, Lei Cheng, Cong Wang, Meng Si*, Detection of cervical spondylotic myelopathy based on gait analysis and deterministic learning, Artificial Intelligence Review, 2023, https://doi.org/10.1007/s10462-023-10404-8. (IF:9.588, JCR 1区) [2] Quanzheng Xu, Liyu Liu, Bing Ji*. Knowledge distillation guided by multiple homogeneous teachers, Information Sciences, 2022, 607:230-243. (IF:8.233, JCR 1区,中科院1区top) [3] Jingjiao Lou, Jiawen Xu,Yuyan Zhang,Yuhong Sun, Aiju Fang, Jixuan Liu, Luis A. J. Mur, Bing Ji*. PPsNet: an improved deep learning model for microsatellite instability high prediction in colorectal cancer from whole slide images, Computer Methods and Programs in Biomedicine, 2022, 225:107095. (IF:7.027, JCR 1区) [4] Bing Ji, Yao Zhang, Changqing Zhen, Michael J Fagan, Qing Yang*. Mathematical modelling of canonical and non-canonical NF-κB pathways in TNF stimulation. Computer Methods and Programs in Biomedicine, 2020,196:105677. (IF:7.027, JCR 1区) [5] Bing Ji, Jie Chen, Changqing Zhen, Qing Yang, Nengwang Yu*. Mathematical modelling of the role of Endo180 network in the development of metastatic bone disease in prostate cancer. Computers in Biology and Medicine, 2020, 117:103619. (IF:6.698, JCR 1区) [6] Bing Ji, Yao Zhang, Changqing Zhen, Fagan Michael, Qing Yang*. Mathematical modelling of bone remodelling cycles including the NFκB signalling pathway. Computers in Biology and Medicine, 2019, 107:257-264.(IF:6.698, JCR 1区) [7] Aixian Zhang, Jingjiao Lou, Zijie Pan, Jiaqi Luo, Xiaoneng Zhang, Han Zhang, Jianpeng Li, Lili Wang, Xiang Cui, Bing Ji* and Li Chen*. Prediction of anemia using facial images and deep learning technology in Emergency Department, Frontiers in Public Health, 2022, 10:964385.(IF:6.461, JCR 1区) [8] Bing Ji, Jiawei Bai, Luis A J Mur, Mengjia Zou, Jiwan Han, Rui Gao, Qing Yang. Mathematical modelling of Her2 (ErbB2) PI3K/AKT signalling pathways during breast carcinogenesis to include PTPD2. AIMS Mathematics, 2020, 5(5): 4946-4958. doi: 10.3934/math.2020316 .(IF:1.427, JCR 1区) [9] Liyu Liu, Meng Si, Hecheng Ma, Menglin Cong, Quanzheng Xu, Qinghua Sun, Weiming Wu, Cong Wang, Michael J. Fagan, Luis A. J. Mur, Qing Yang, Bing Ji*. A hierarchical opportunistic screening model for osteoporosis using machine learning applied to clinical data and CT images. BMC Bioinformatics, 2022, 23:63. (IF:3.328, JCR 2区) [10] Bing Ji#, Dawei Li#, Shuai Fu#, Zhao Zhang, Tong Yang, Yaohai Wu, You Zuo, Zhonghua Xu, Nengwang Yu*. Propensity-score matched comparison of partial versus radical nephrectomy for T1N0M0 sarcomatoid renal cell carcinoma. Translational Andrology and Urology, 2020, 9(2):250-257.(IF:3.150, JCR 3区) 4.授权知识产权:授权国内外发明专利20件,其中5件代表性专利如下:
[1]Orthopedic Posture Supporting and Adjusting Device and Method,国际专利,第1位, 2020 [2]一种用于测力测距的手术工具,中国发明专利,第1,2020 [3]一种骨科体态支撑调整装置及方法,中国发明专利,第1位,2020 [4]多模态骨质疏松分层预警方法及系统,中国发明专利,第1,2020 [5]基于云计算的自主心智发育云机器人系统,中国发明专利,2017. 5.员工培养与招生 截止2022年8月,共计培养硕士生12人。目前在读硕士生10人,博士生1人(联合指导)。所指导毕业的硕士生均发表SCI论文和/或授权中国/国际发明专利,获国家或学校奖学金。其中,获山东省优秀毕业生2人,永利yl6776优秀研究生2人。指导的4名18级硕士研究生中,2人同时荣获国家奖学金和山东省优秀毕业生。所指导的18级硕士生张*共计在Computer Methods and Programs in Biomedicine(JCR 1区,IF:7.027)等高水平期刊发表SCI论文3篇;19级硕士研究生徐**、20级硕士生代**分别在Information Sciences(中科院1区top,IF 8.233)、Artificial Intelligence Review(JCR 1区,IF 9.588)发表论文1篇。所指导硕士生去向包括:攻读博士,百度、歌尔股份、中国重汽、中国移动、中国船舶集团、TPLink等知名企业。 每年可招生控制科学与工程和生物医学工程专业硕士生3~4名,欢迎有志于从事人工智能理论及应用研究,拼搏实干、严以律己的同学加入! |