张馨予

综合介绍 General Introduction 研究领域：数据科学与应用、智能决策支持、图像处理、数据挖掘、生物医学工程主要研究方向：有人 - 无人系统智能交互与协同决策 个人相册

教育教学

个人经历 personal experience 工作经历 教育经历 2023/11 - 至今，西北工业大学，特资博后2022/02 - 2023/02，澳大利亚莫纳什大学，信息技术学院，教学助理，课程设计2020/01 - 2023/02，澳大利亚莫纳什大学，信息技术学院，数据科学与人工智能系，助理研究员2018/09 - 2022/03，澳大利亚 Oriental Educational Australia，讲师2017/07 - 2018/06，澳大利亚 Tribular 公司，网页前后端构建 2019/08 - 2022/10，莫纳什大学，数据科学与人工智能，博士2018/07 - 2019/06，莫纳什大学，信息技术，荣誉学士（直博）2015/10 - 2018/06，莫纳什大学，信息系统，学士

荣誉获奖

科研成果 Scientific research results 论文成果 [1] Intelligent Methods for Hypothyroidism Associations and Characterisation for Personalised Diagnosis and Treatment. Hypothyroidism - Causes, Screening and Therapeutic Approaches, ISBN 978-0-85466-584-6 [2] Physiological Records-Based Situation Awareness Assessment for Aviation Decision-Making: A Comparative Analysis. Heliyon, e26409 [3] Hypertension and obesity: risk factors for thyroid disease. Frontiers in Endocrinology, 13: 1-9 [4] Unveiling Thyroid Disease Associations: An Exceptionality-Based Data Mining Technique. Endocrines, 4030040 [5] Deep Learning Empowered Decision Support Systems for Thyroid Cancer Detection and Management. Conference on Industry Science & Computer Science Innovation, iSCSi2023 [6] Pericardial Effusion Detection on Post-Mortem Computed Tomography Images Using Convolutional Neural Networks. World Congress on Medical and Health Informatics, Medinfo2023 [7] Surformer: an interpretable pattern-perceptive survival transformer for cancer survival prediction from histopathology whole slide images. Computer Methods and Programs in Biomedicine, 241: 107733 [8] Multi-channel convolutional neural network architectures for thyroid cancer detection. Plos One, 17(1): e0262128 [9] A multi-channel deep convolutional neural network for multi-classifying thyroid diseases. Computers in Biology and Medicine, 148: 105961-105961 [10] Thyroid disease pathogenesis identification: integrating association rule mining with exceptionality from digital health records. World Congress on Endocrinology, diabetes, and Metabolism, EDM2023 [11] Deep convolutional neural networks in thyroid disease detection: A multi-classification comparison by ultrasonography and computed tomography. Computer Methods and Programs in Biomedicine, 220: 106823

科学研究

获奖信息 The winning information Distinguished Finalist Researcher, iSCSi Community（2023年）The Annual Excellence in Doctoral Research Award 入围第一名，iSCSi Community（2023年）Graduate Research Completion Award，莫纳什大学（2022年）Faculty of IT Graduate Research Completion Award，莫纳什大学信息技术学院（2022年）荣誉学位（1‰），莫纳什大学（2019年）

学术成果

团队信息 Team Information 电子科学与技术学科，航空电子综合技术专业，“综合武器对抗团队”

综合介绍