11/2021 - 11/2022 Visiting Scholar, University of Lincoln, College of Engineering, U.K.

5/2019 – 12/2023 Ph.D. student, Nanjing Agricultural  University, College of Engineering, Agricultural Big Data and Internet of Things, China

9/2015 – 6/2018 Master, Nanjing University of Information Science and Technology, College of Automation, Control Engineering, China

12/2023 - Present Lectuer, Intelligent Manufacturing College, Anhui Science and Technology University.

11/2017 – 2/2018 Data Mining Engineer (Internship), Ping'an Science and Technology (Shenzhen) Co., Ltd.

7/2018 – 1/2019 Data Analysis Engineer, Beijing Tianrun New Energy Investment Co., Ltd.

7/2017 The third prize of East China Division, 12th China Graduate Electronic Design Competition of "Huawei Cup"

6/2018 Outstanding Graduates of Nanjing University of Information Science and Technology, Nanjing University of Information Science and Technology

12/2019 Excellent Professional Master's Thesis in Jiangsu Province, Jiangsu Provincial Academic Degrees Committee

12/2022 National Scholarship for Doctoral Students，Ministry of Education of the People's Republic of China

1/2025 - Present Pi, Research on Low Cost and Lightweight Fault Self Diagnosis Method for IoT Solar Insecticidal Lamp, National Science Foundation of China

9/2024 - Present Pi, Research on Lightweight Self Diagnosis Method for IoT solar Insecticidal Lamps, Talent Project of Anhui University of Science and Technology

6/2016 - 6/2017 Pi, Research on Complex Quality Control Methods for Observations of Automatic Weather Stations, Postgraduate Research and Practice Innovation Program of Jiangsu Province

Anomaly Detection, Agricultural Internet of Things, Edge Intelligence

Master:

Zhengjie Wang

Bachelor:

Hongye Fang, Guangzhen He, Hongxuan Chen, Yuyang Fan

[1] Xing Yang, Lei Shu*, Jianing Chen, Mohamed Amine Ferrag, Jun Wu, Edmond Nurellari and Kai Huang. A Survey on Smart Agriculture: Development Modes, Technologies, and Security and Privacy Challenges, IEEE/CAA Journal of Automatica Sinica, vol. 8, no. 2, pp. 273-302, Feb. 2021, doi: 10.1109/JAS.2020.1003536. 

[2] Xing Yang, Lei Shu*, Ye Liu, Gerhard Petrus Hancke, Mohamed Amine Ferrag and Kai Huang. Physical Security and Safety of IoT Equipment: A Survey of Recent Advances and Opportunities, IEEE Transactions on Industrial Informatics, vol. 18, no. 7, pp. 4319-4330, July 2022, doi: 10.1109/TII.2022.3141408.

[3] Xing Yang, Lei Shu*, Kailiang Li, Zhiqiang Huo, Sheng Shu and Edmond Nurellari. SILOS: An Intelligent Fault Detection Scheme for Solar Insecticidal Lamp IoTs with Improved Energy Efficiency, IEEE Internet of Things Journal, vol. 10, no. 1, pp. 920-939, 1 Jan.1, 2023, doi: 10.1109/JIOT.2022.3209162.

[4] Xing Yang, Lei Shu*, Kailiang Li, Zhiqiang Huo and Yu Zhang. SA1D-CNN: A Separable and Attention Based Lightweight Sensor Fault Diagnosis Method for Solar Insecticidal Lamp Internet of Things, IEEE Open Journal of the Industrial Electronics Society, vol. 3, pp. 291-303, 2022, doi: 10.1109/OJIES.2022.3172899.

[5] Xing Yang, Lei Shu*, Kailiang Li Edmond Nurellari, Zhiqiang Huo and Yu Zhang. A Lightweight Fault-Detection Scheme for Resource-Constraints Solar Insecticidal Lamp IoTs, Sensors, vol. 23, no. 15, pp. 6672, 2023, doi: https://doi.org/10.3390/s23156672. 

[6] 杨星, 舒磊*, 黄凯, 李凯亮, 霍志强, 王彦飞, 王心怡, 卢巧玲, 张亚成. 太阳能杀虫灯物联网故障诊断特征分析及潜在挑战[J]. 智慧农业(中英文), 2020, 2(2): 11-27. (中文核心)

[7] Xing Yang, Lei Shu*, Kai Huang, Kailiang Li and Heyang Yao. Poster Abstract: Insecticidal Performance Simulation of Solar Insecticidal Lamps Internet of Things Using the Number of Falling Edge Trigger, IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2021, pp. 1-2, doi: 10.1109/INFOCOMWKSHPS51825.2021.9484570.

[8] Xiaoling Ye, Xing Yang*, Xiong Xiong, Yunpei Shen, Man Hao, Rong Gu. A Quality Control Method Based on an Improved Random Forest Algorithm for Surface Air Temperature Observations, Advances in Meteorology, 2017, doi: 10.1155/2017/8601296.

[9] Xiaoling Ye, Xing Yang*, Xiong Xiong, Shuai Yang, Yang Chen. Spatial Quality Control Method for Surface Temperature Observations Based on Multiple Elements, Earth Sciences Research Journal, vol. 21, no. 2, pp. 101-107, 2017, doi: 10.15446/esrj.v21n2.65185.