He Liu Email & Phone Number

Portugal

Zurich, Zurich, Switzerland

• Topic: Open-Set Classification for Human Activity Recognition Using Wrist-Worn Accelerometers
• Adapted open-set classification methods, originally developed for computer vision, to the accelerometer-based human activity recognition field. This novel approach enabled the recognition of unknown human activities.
• Designed and implemented a scalable and efficient data processing pipeline using multiprocessing and the Dask library to handle and analyse large datasets, ensuring the system's ability to scale with increasing data.
• Investigated and applied synthetic data generation techniques to generate diverse negative activity samples, improving the model's ability to detect and handle out-of-distribution activities.

Zurich, Zurich, Switzerland

• Topic: Activity Recognition Based on the Wrist-Worn Axivity AX3
• Conducted extensive research on human activity recognition using wrist-worn accelerometer data, focusing on developing robust and accurate classification models for real-world applications.
• Designed and implemented a highly scalable and efficient data processing pipeline for feature extraction from large datasets.
• Applied innovative time-series data transformation techniques to simulate various accelerometer positions and conditions. This approach enhanced the model's generalisation ability.
• Developed advanced classification models to accurately classify distinct human activities. These models demonstrated significant improvements over baseline performance, with accuracy gains ranging from 10% to 25% on.
• Conducted a comprehensive comparative analysis of training datasets, simulation techniques, and models to identify potential areas for future research and opportunities for further improvement. This analysis provided.

Fribourg, Fribourg, Switzerland

• Developed an intelligent anomaly detection system for shotcrete in tunneling, leveraging unlabeled time-series data from over 7 sensors. Achieved a true positive rate exceeding 90% and a false positive rate below 5%.
• Implemented a shotcrete operational efficiency evaluation model for productivity estimation through cross-functional team collaboration.
• Presented technical concepts, solution capabilities, and analytical findings to internal and external stakeholders, utilizing advanced data visualization tools.
• Conducted research and built a pipeline for real-time problematic spray forecasting.

Shenzhen, Guangdong, China

• Optimized the sentiment-driven factor for risk measurement in small-scale trading.
• Developed an automated trading system, including a financial news crawler, a multi-factor trading model, and a MySQL backend.
• Earned approximately 60% cumulative returns from mid-2017 to mid-2019.

Shenzhen, Guangdong, China

• Engineered a data collection pipeline to scrape over 30,000 financial news, reports, and social media entries.
• Developed a sentiment-driven factor using machine learning for quant trading.
• Collaborated with the internal strategy team to implement and backtest trading strategies.

Raleigh-Durham, North Carolina Area

• Developed a collaborative control system based on OpenCV for high-speed motion tracking using 32 pan-tilt gimbal IP cameras.

Shenzhen, Guangdong, China

• Mentored laboratory sessions for the Operating Systems course.
• Graded students’ assignments in the Embedded System and Microcomputer Principle course.

Master'S Degree, Data Science

• Major: Data Science • Minor: Informatics • Courses and projects focused on statistical analysis, ML algorithms, and data engineering.

Visiting And Thesis Student, Computer Science

• Conducted Master’s project and thesis at Sensing, Interaction & Perception Lab. • Attended several outstanding courses in D-INFK and.

Bachelor’S Degree, Computer Science

SUSTech is a research-oriented public university founded in Shenzhen, China's innovation center. In the Nature Index 2020 Rising Stars.