潘喬（Pan Qiao）

男 副教授 計算機應用系，碩士生導師，中國計算機學會會員，上海計算機學會會員

分別於2000、2004、2008年畢業於西安電子科技大學，獲得信息與通信系統專業本科、碩士和博士學位。2008年到沐鸣娱乐計算機沐鸣任教至今。主要從事數據挖掘、機器學習🦴、人工智能以及網絡大數據分析等教學與科研工作，並取得了一些階段性的成果📔。以一作或通信作者身份發表了50余篇SCI👋🏽🥬、EI檢索高質量論文🤚🏼，並獲得國家發明專利授權6項📃，曾擔任多個期刊會議的審稿人。近年來🌗，在指導的研究生中，有多名同學通過科研工作獲得國家獎學金、優秀論文獎勵。擔任中國計算機學會、上海市計算機學會、上海計算機開放系統協會等委員。

主要研究方向：

•機器學習

•人工智能

•大數據與雲計算（社交網絡、數據通信網絡🦓、商務智能等應用中大規模數據的分析）

講授課程🚼：

•數據挖掘（研究生課程）

•計算機網絡

近期主持/參與的科研項目♠️：

1.上海市智慧城市專項 《基於瑞金醫院的臨床大數據平臺建設及深度應用》

2.上海市科技創新行動計劃 《多中心多病種臨床大數據分析處理研究》

3.上海市科技發展基金項目 《數據自治開放應用技術研究》

4.上海市人工智能創新發展專項 《面向專病的智能臨床輔助決策產品研發與產業化》

5.國家重點研發計劃項目 《基於張量的阿爾茨海默症多模態數據融合與因果推理及可解釋輔助診斷》

近幾年的代表性論著（第一作者）：

1. Qiao Pan, Yan Liu, Qian Li, and Mei Wang. Predicting Alzheimer’s Disease Progression usingTime-Decay LSTM Network with Multi-Condition Variational Autoencoder. 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2024.

2. Qiao Pan, Feifan Zhao, Xiaoling Chen, Dehua Chen, A method for extracting tumor events from clinical CT examination reports, Journal of Biomedical Informatics, Volume 142, 2023,104371,

3. Qiao Pan, Xinyu Yu, Xinyu Li, Kun Shao.Postoperative MPA-AUC0-12h Prediction for Kidney Transplant Recipients based on Few-shot Learning.The 34th International Conference on Software Engineering and Knowledge Engineering, SEKE, KSIR Virtual Conference Center, USA,2022

4. Qiao Pan, Ke Ding, Dehua Chen，Multi Classification prediction of Alzheimers disease based on fusing multi-modal features.21st IEEE International Conference on Data Mining, ICDM2021, Auckland, New Zealand，2021

5. Qiao Pan; Golddy Indra Kumara; Jiahuan Chu; Multi Classification of Alzheimer’s Disease using Linear Fusion with TOP-MRI Images and Clinical Indicators, The 32nd International Conference on Software Engineering & Knowledge Engineering(SEKE 2020), Pittsburgh, USA, 2020.  

6. Qiao Pan, ShiYu Wang, Dehua Chen, Prediction of Alzheimer's Disease Based on Bidirectional LSTM, Journal of Physics: Conference Series, v 1187, n 5, May 8, 2019, 2018 International Symposium on Power Electronics and Control Engineering(ISPECE),Guangzhou, China, 2019  

7. Qiao Pan, Chunru Yu, Dehua Chen, Lan Xiang. “Joint Extraction of Entities and Relations of Breast Ultrasound Report Based on Deep Learning” ,The 20th IEEE International Conference on High Performance Computing and Communications (HPCC), Guangzhou, China, 2018  .     

8. Qiao Pan, Li Hang, Dehua Chen and Kaiqi Sun, “Sentiment Analysis of Medical Comments Based on Character Vector Convolutional Neural Networks”, The 22th IEEE Symposium on Computers and Communications (IEEE ISCC) , Natal, Brazil, June 25-28, 2018  

主要社會任職：

上海計算機開放系統協會理事👰‍♀️、副秘書長

國際交流與合作🧘‍♀️：

訪問學者, 美國 佛羅裏達大學 沐鸣注册, 2014年9月-2015年9月.

聯系方式📇🏢：

•電話（Tel）🏃：67792291

•郵箱（e-mail）🚖：panqiao@dhu.edu.cn

•辦公室（office）：1號沐鸣樓245室

Qiao Pan

Male, Donghua University, School of Computer Science and Technology, Associate Professor

Received a doctor's degree from Xidian University in 2008. Research fellow in UF in 2015.

Research Areas: AI and deep learning, Machine Learning, Data Mining

Main Courses Taught: Data Mining, Computer Network

Publications:

1. Qiao Pan, Yan Liu, Qian Li, and Mei Wang. Predicting Alzheimer’s Disease Progression usingTime-Decay LSTM Network with Multi-Condition Variational Autoencoder. 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2024.

2. Qiao Pan, Feifan Zhao, Xiaoling Chen, Dehua Chen, A method for extracting tumor events from clinical CT examination reports, Journal of Biomedical Informatics, Volume 142, 2023,104371,

3. Qiao Pan, Xinyu Yu, Xinyu Li, Kun Shao.Postoperative MPA-AUC0-12h Prediction for Kidney Transplant Recipients based on Few-shot Learning.The 34th International Conference on Software Engineering and Knowledge Engineering, SEKE, KSIR Virtual Conference Center, USA,2022

4. Qiao Pan, Ke Ding, Dehua Chen，Multi Classification prediction of Alzheimers disease based on fusing multi-modal features.21st IEEE International Conference on Data Mining, ICDM2021, Auckland, New Zealand🚴，2021

5. Qiao Pan; Golddy Indra Kumara; Jiahuan Chu; Multi Classification of Alzheimer’s Disease using Linear Fusion with TOP-MRI Images and Clinical Indicators, The 32nd International Conference on Software Engineering & Knowledge Engineering(SEKE 2020), Pittsburgh, USA, 2020.  

6. Qiao Pan, ShiYu Wang, Dehua Chen, Prediction of Alzheimer's Disease Based on Bidirectional LSTM, Journal of Physics: Conference Series, v 1187, n 5, May 8, 2019, 2018 International Symposium on Power Electronics and Control Engineering(ISPECE),Guangzhou, China, 2019  

7. Qiao Pan, Chunru Yu, Dehua Chen, Lan Xiang. “Joint Extraction of Entities and Relations of Breast Ultrasound Report Based on Deep Learning” ,The 20th IEEE International Conference on High Performance Computing and Communications（HPCC）, Guangzhou, China, 2018  .     

8. Qiao Pan, Li Hang, Dehua Chen and Kaiqi Sun, “Sentiment Analysis of Medical Comments Based on Character Vector Convolutional Neural Networks”, The 22th IEEE Symposium on Computers and Communications (IEEE ISCC) , Natal, Brazil, June 25-28, 2018  

Main Research Projects:

1. National Key R&D Program Project, Causal Reasoning Enhanced Tumor AI Diagnosis and Treatment Model and Interpretability Research, 2020.1-2022.12 (under research)

2. Shanghai Big Data Special Project, Diabetes Aided Diagnosis and Deep Application Demonstration Based on Big Data of Ruijin Hospital, 2018/7-2020/6

3.Shanghai Municipal Economic and Information Commission special project for the development of artificial intelligence, R&D and industrialization of intelligent clinical auxiliary decision-making products for specialized diseases, 2018/1-2019/12

4. Shanghai Municipal Science and Technology Commission Science and Technology Action Plan Project, Text structuring and image correlation of medical image reports based on artificial intelligence, 2018/1 to 2019/12

5. Shanghai Municipal Commission of Information Technology Development Special Project, High Performance Distributed Data Processing Technology for Heterogeneous Architecture, 2018/7-2020/6

6. Shanghai Science and Technology Development Fund Project "Research on Data Autonomy Open Application Technology" (Approval No. 16JC1400802) 2016.7-2019.7

7. Shanghai Information Development Special Project, Big Data Security Reinforcement, 2016/7 to 2018/7

8. Shanghai Science and Technology Innovation Action Plan, Research on Multi-Center Multi-Path Clinical Big Data Analysis and Processing (Approval No. 15511106900) 2015.7-2017.7.