Awards & honors

Epitaxial thickness measurement for silicon carbide wafers must stay robust under spectral noise and weak fringe contrast, while single-threshold peak picking often fails on high-reflectance stacks. As team leader, an interferometry forward model was built with a Moving Average smoothing plus peak-detection pipeline, then fused with an ANN regressor to optimize thickness estimates against contest metrics. The provincial second-prize solution met evaluation accuracy targets and was fully reproducible within the 72-hour modeling window.

The contest required colour-block detection, two-axis gimbal tracking, and laser alignment within 0.5 s under tight power and latency budgets. As team leader, OpenCV colour segmentation was paired with dual-axis PID gimbal control, tuning the lock loop, trigger timing, and laser gate logic end to end. The entry earned a provincial third prize with stable sub-0.5 s lock-and-align performance across repeated runs.

The campus inspection rover had to close a demo-ready loop—environmental sensing, forecasting, pedestrian safety, and multi-client operations—within a limited development cycle. As a core algorithms/software contributor, vision and prediction modules were integrated alongside PyQt, Streamlit, and mobile control clients for joint patrol command. The project won a provincial third prize in iCAN with an end-to-end demonstrable inspection stack.

Campus microgrids must coordinate wind, PV, and storage to cut operating cost while respecting ramp and balance constraints—too large for a single-layer solver. As team captain, a bi-level model was built: nonlinear programming (MATLAB fmincon) on the upper layer and LP coordination below, with reproducible dispatch tables for contest reporting. The work received a provincial third prize in the Electrician Cup with stable cost improvement versus baselines.

On CSDN (ChenAI-TGF), 140+ original AI/ML articles and tutorials accumulated 290k+ views, 4k+ saves, and 3.3k+ code-snippet copies—forming a publicly checkable writing record. CSDN officially certified an AI-track Rising Star credential the same year it named Blog Star honours at the Top 300 tier, reflecting platform-level recognition of sustained AI technical writing and community contribution.

Cloud and engineering readers rely on practitioner-written articles for deployment patterns, tooling notes, and reproducible walkthroughs—platforms rank creators by quality and consistency. Long-form posts on Alibaba Cloud’s developer community targeted cloud-native and engineering topics with steady updates and community feedback. Official Star Blogger certification was granted for technical outreach and co-built content quality, complementing competition and research outputs on the public profile.