My projects showcase my technical expertise and innovative approach to solving complex challenges. Browse through my portfolio to explore a selection of my most impactful work, highlighting my skills and experience in machine learning, IoT, and AI.
Best Device Application Award, International oneM2M Hackathon 2022
Our sleep quality monitoring system utilizes off-the-shelf smartwatches to collect wrist sensor data during sleep. By applying signal processing and deep learning algorithms, we estimate respiration rate, detect breathing patterns, and classify abnormal respirations for sleep apnea detection. We also developed a prototype app for Android and Apple devices to process collected sensor data.
I developed a web crawler for gathering paper meta information in BibTeX format from ACM conference pages. The crawler used Python-Requests and PhantomJS for fetching and processing web pages. It employed regular expressions and BeautifulSoup for extracting the desired data. To enhance efficiency, multi-threading and proxy configurations were implemented. The collected BibTeX files are available in my public GitHub repository for easy access and sharing.
The Tsinghua HRMS Group Management Service project streamlined group management within the university’s HR system, enabling administrators to create and manage groups, control member permissions, and access resources through a RESTful web service and Oracle database.
The project included the development of an advertising server, RESTful service for click-through rate counting and recommendation, and an on-site search engine. This project demonstrates my expertise in web service development, collaborative filtering, ranking algorithms, and ad server and search engine integration.