Ying-Chen Cheng

- Developed Python-based automation tools for system validation, diagnostics, and engineering workflows. - Performed system-level testing, debugging, and root-cause analysis across hardware, firmware, and software components. - Provided technical support in international production environments.

- Developed a deep-learning-based approach for non-intrusive audio and speech quality assessment using ViSQOL as an objective full-reference perceptual metric, achieving a Pearson Correlation Coefficient (PCC) of 0.89. - Designed signal degradation and data augmentation pipelines using speech/audio codecs, including AMR-WB, EVS, Opus, Codec2, and Lyra. - Analysed large-scale audio datasets for model training, validation, and benchmarking under diverse signal degradation conditions.

- Integrated music signal analysis into real-time lighting control systems, focusing on stable latency and system responsiveness. - Integrated time- and frequency-domain analysis pipelines into an interactive control system. - Implemented, evaluated, and compared other beat-tracking algorithms under real-time constraints. - Designed and evaluated alternative beat-tracking algorithms with performance benchmarking. - Improved system stability and responsiveness through algorithmic and structural optimisation.

- Developed internal web applications and data visualisation dashboards using JavaScript and React. - Designed software components for system monitoring, data analysis, and engineering support workflows. - Developed browser-based diagnostic tools for analysing API behaviour and detecting anomalies in web API responses. - Implemented server-side logic and performance optimisations to improve the reliability and responsiveness of applications.

- Developed and maintained front-end applications using React and TypeScript. - Collaborated with intern teams to design and deploy an internal attendance management system. - Conducted QA tests; including test case design, test planning, and documentation. - Collaborated in Agile development to improve software quality and release readiness. - Supported software debugging and deployment activities.

Courses: Advanced Digital Signal Processing, Audio Coding, Audio Signal Processing & Audio Systems, Deep Learning, Multimedia Standards, Multirate Signal Processing, Software Architectures, Video Coding