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姓 名:冯明晨

职 称:讲师

办公室:信息工程学院407

电 话:

邮 箱:mingchen@nwafu.edu.cn


基本信息
冯明晨,1989年2月生,山西运城人,2020年12月毕业于西北工业大学计算机学院,获工学博士学位。2020年12月入职西北农林科技大学信息工程学院,任讲师。研究方向:大数据分析、数据挖掘、数据可视化、图像处理。


研究方向

大数据分析

数据挖掘(主要从事犯罪、交通事故等时空数据的分析与预测)

数据可视化

深度学习

图像处理(图像分割、目标检测)


教育经历

2012.09-2015.03 西北工业大学软件与微电子学院  硕士  

2015.04-2020.12 西北工业大学计算机学院   博士

2017.11-2018.11  英国思克莱德大学EEE  联合培养博士


学术成果
  1. Mingchen Feng et al.,“Big Data Analytics and Mining for Effective Visualization and Trends Forecasting of Crime Data”, IEEE ACCESS, 2019. (SCI 中科院二区,IF: 4.098).

  2. Mingchen Feng et al., “Towards Big Data Analytics and Mining for UK Traffic Accident Analysis, Visualization & Prediction”, International Conference on Machine Learning and Computiong,ICMLC, 2020. (EI 索引,oral)

  3. Mingchen Feng et al.,“Association Rule Mining for Road Traffic Accident Analysis: A Case Study from UK”. 2019 International Conference on Brain-Inspired Cognitive Systems, 2019. (EI 索引)

  4. Mingchen Feng et al.,“Big Data Analytics and Mining for Crime Data Analysis, Visualization and Prediction”, Advances in Brain Inspired Cognitive Systems, 2018, :605-614.(EI 索引,会议最佳poster论文奖)

  5. Yue Xi, Jiangbin Zheng,.., Mingchen Feng,“Beyond Context: Exploring Semantic Similarity for Small Object Detection in Crowded Scenes”. Pattern Recognition Letters, 2019. (SCI 中科院三区,IF:2.810)

  6. Mingchen Feng, Yanqin Liu,"A Study of Balance Ability For Children Between 5-6 Years Using Data Mining Techniques”. 2019 International Conference on Brain-Inspired Cognitive Systems, 2019. (EI 索引)

  7. Na Li, Jiangbin Zheng, Mingchen Feng,“A Big Data Analytics Platform for Information Sharing in the Connection Between Administrative Law and Criminal Justice:”. Advances in Brain Inspired Cognitive Systems, 2018: 654-662.(EI 索引).

  8. Tingge Zhu, Jiangbin Zheng, Mingchen Feng,“Blind detection based on color SIFT”, 2019 International Conference on Brain-Inspired Cognitive Systems, 2019. (EI 索引)

  9. Tingge Zhu, Jiangbin Zheng, Mingchen Feng, “Forensic Detection Based on color label and Oriented texture feature”, 2019 International Conference on Brain-Inspired Cognitive Systems, 2019. (EI 索引)

  10. Jiangbin Zheng, Yue Xi, Mingchen Feng,“Object detection based on BING in optical remote sensing images”,2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 2016. (EI 索引)


项目经历
  1. 西北农林科技大学博士科研启动基金项目(Z1090121041),面向时空数据的大数据分析方法研究,主持(2021.3-2023.12)

  2. 国家自然科学基金面上项目,复杂场景微小人脸检测与比对方法研究,参与(2020.1-2023.12)

  3. 核高基协作课题,高性能xxx系统处理xxx软件开发技术,参与(2017.10-2019.12)

  4. 陕西省重点研发计划,互联网环境下的设备无关扁平化物联网共性支撑平台及应用示范,参与(2017.01-2018.12)

  5. 国家863科技计划,XXXXXX信息处理技术研究,参与(2015.12-2016.6)

  6. 陕西省科技统筹创新工程计划项目,数字文化旅游和商业运营融合的 集成现代服务云平台,参与(2015.01-2016.12)

  7. 陕西科技统筹创新工程计划项目,敏捷性遥感图像处理一体机关键技术研发,参与

  8. 民用航天项目,大数据****共性关键技术研究,参与

  9. 国家863计划,“基于****的在轨信息处理技术”,参与

  10. 中英联合项目,“利用互联网+大数据方法的智能集约规模化养殖技术合作”,参与


毕业学生



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Name:Mingchen Feng

Professional Title:Lecturer

Office:Room407

Tel:

Email:mingchen@nwafu.edu.cn


Personal Information

MINGCHEN FENG received the B. E. degree in Computer Science from North China Institute of Aerospace Engineering, M. Eng. Degree in Software Engineering from School of Software and Microelectronics, Northwestern Polytechnical University. D.Eng. in Computer Science from School of Computer Science, Northwestern Polytechnical University. He has been a visiting researcher in Department of Electronic and Electrical Engineering, University of Strathclyde, Glasgow, UK, in 2018. He is currently a lecturer in College of Information Engineering, Northwest A&F University. His research interests include big data analytics, data mining, machine learning, deep learning ,data visualization, and image processing.


Research Directions

Big Data Analytics (especially on Crime, Traffic Accident Analysis and Prediction)

Data Mining

Data Visualization

Deep Learning

Image Processing (Image Segmentation, Object Detection) 


Educational Experience

2012.09-2015.03 School of Software and Microelectronics, NWPU  M.Eng.

2015.04-2020.12 School of Computer Science, NWPU  D.Eng

2017.11-2018.11  EEE, University of Strathclyde, Visiting Researcher


Publication

² Mingchen Feng et al., “Big Data Analytics and Mining for Effective Visualization and Trends Forecasting of Crime Data”, IEEE ACCESS, 2019. (SCI Q2,IF: 4.098).

² Mingchen Feng et al., “Towards Big Data Analytics and Mining for UK Traffic Accident Analysis, Visualization & Prediction”, International Conference on Machine Learning and ComputingICMLC, 2020. (EI index,oral)

² Mingchen Feng et al., “Association Rule Mining for Road Traffic Accident Analysis: A Case Study from UK”. 2019 International Conference on Brain-Inspired Cognitive Systems, 2019. (EI index)

² Mingchen Feng et al., “Big Data Analytics and Mining for Crime Data Analysis, Visualization and Prediction”, Advances in Brain Inspired Cognitive Systems, 2018, :605-614.(EI index, Best Paper Award)

² Yue Xi, Jiangbin Zheng,.., Mingchen Feng,“Beyond Context: Exploring Semantic Similarity for Small Object Detection in Crowded Scenes”. Pattern Recognition Letters, 2019. (SCI Q3,IF:2.810)

² Mingchen Feng, Yanqin Liu, "A Study of Balance Ability For Children Between 5-6 Years Using Data Mining Techniques”. 2019 International Conference on Brain-Inspired Cognitive Systems, 2019. (EI index )

² Na Li, Jiangbin Zheng, Mingchen Feng,“A Big Data Analytics Platform for Information Sharing in the Connection Between Administrative Law and Criminal Justice:”. Advances in Brain Inspired Cognitive Systems, 2018: 654-662.(EI index).

² Tingge Zhu, Jiangbin Zheng, Mingchen Feng,“Blind detection based on color SIFT”, 2019 International Conference on Brain-Inspired Cognitive Systems, 2019. (EI index)

² Tingge Zhu, Jiangbin Zheng, Mingchen Feng, “Forensic Detection Based on color label and Oriented texture feature”, 2019 International Conference on Brain-Inspired Cognitive Systems, 2019. (EI index)

² Jiangbin Zheng, Yue Xi, Mingchen Feng,“Object detection based on BING in optical remote sensing images”,2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 2016. (EI index)


Current Undergraduate


Graduated Student