I operate at the intersection of AI and healthcare. My research focus on advanced wearable technology for the quantitative diagnosis of Parkinson’s disease, including designing suitable AI algorithms for explicitly dealing with limited and unbalanced physiological time-series data and discovering latent features in real-world environments. We have published a paper in the IEEE Transactions on Biomedical Engineering, where we proposed a feature assessment framework to rate the PD severity levels from short-term motor tasks in the real world.

Since December 2021, I have been pursuing my Ph.D. in the Pervasive Computing Research Group at the School of Computer Science, University of Sheffield, advised by Dr. Po Yang. Before that, I completed my master’s degree in software engineering at Yunnan University and my bachelor’s degree in software engineering at Jishou University.

I have been working in the computer industry since 2014, gaining ten years of experience. I am proficient in C, Java, and Python programming, as well as database management. I have project development experience in both website and desktop applications and have won a prize in the national software design competition "China Software Cup."

• 2024-07-15: One paper is accepted by IEEE Journal of Selected Areas in Sensors.
• 2024-06-15: One paper is accepted by IEEE Transactions on Biomedical Engineering.

Big Data Analysis System Based on WIFI probe
Keywords:
window/Linux, Eclipse, WiFi Probe, Java, Hadoop distributed file storage, Hive data warehouse, Kafka distributed publishing Subscribe messages, Redis cache.
Contributions:
Developed a desktop platform based on the probe device to collect the geographical location of the person, distance from the probe, time. The collected data is sent to the server regularly and is used to analyze some indicators of the human flow by offline and real-time calculation. At last, the analyzed indicators are displayed as web pages, providing a decision-making basis for the business environment.
[Video]

Online Tea mall based on JAVAEE
Keywords:
Oracle, Spring, Hibernate, Struts2, HTTP secure transport protocol, Fusion chart report technology, Json transmission format.
Contributions:
Developed a tea trading e-commerce platform with both front-end and back-end functionalities. Customers can add items to the shopping cart, create orders, and pay for orders. Sellers can publish new products, manage product information, and deliver paid goods. Administrators can manage user information and order information.
[Video]

• Fan Zhixiang, Yang Po, Nan Fengtao, Peng Xiyang, Wu Chaohua, Chen Runchang, Chen Peng, An electronic device for assessing the condition of Parkinson's disease 2022108089751 , (Applicant: Huawei Technologies Co., Ltd.)

• Peng Xiyang, A human activity recognition program based on neural networks, 2020SR0984416 [Registered]
• Peng Xiyang, Li Jie, Han Hao Poetry Platform, 2020SR1018669 [Registered]
• Peng Xiyang, Li Jie, Village Art Teaware Trading Platform, 2020SR1032586 [Registered]

• Participated as a key member in the National Natural Science Foundation project "Wearable Intelligent Technology Research for Activity Recognition and Measurement for Post-Discharge Parkinson's Patients" (62061050).
• Participated in the National Natural Science Foundation project "Research on Time Series Data Mining Based on Clustering Ensemble Techniques" (KC1610125).
• Led the 11th Graduate Scientific Research Innovation Project at Yunnan University, "Wearable Intelligent Technology Research for Activity Recognition in Parkinson's Patients" (2019162).
• Won the third prize in the 6th "China Software Cup" College Student Software Design Competition for the project "Big Data Passenger Flow Analysis System Based on WiFi Probes," organized by the Ministry of Education, Ministry of Industry and Information Technology, and Jiangsu Provincial Government (selected from 4205 teams from universities across the country to enter the finals).