About the opportunity
Professor Yen‑Ming Chen (National Kaohsiung University of Science and Technology, NKUST) invites students to join ongoing research projects across industrial, business, and medical domains. See Prof. Chen’s profile: About Prof. Chen (NKUST).
Current research directions
Industrial Related
- Composite motor fault predictions through contaminated acoustic sounds by a cycleGAN
- Anomaly detection by acoustic IoT and zero-shot transfer functionals
- Acoustic-based predictive maintenance of rotating machinery using group-theoretic invariant feature extraction
- Estimating metal stress distribution through the isochromatic fringes of photoelasticity
- One-shot damage detection of steel wire ropes by super-resolution mosaic reconstruction and Barkhausen activation (image processing & VLM)
- Sliding mode based estimation of the applied force on a stick-slip interface (signal processing & VLM)
- Plasma etching endpoint detection with transductive domain adaptation in the presence of process variations (semiconductor & transfer learning)
- Dynamical quality control for the rolling mills (metallurgy & GAN)
- A semi-supervised anomaly detection for defects in stamped parts (optics & VLM)
Business Related
- Stable survival for spotlight products: The co-diffusion from battery to hydrogen cars
- Assessing responsive vulnerability from the coalescence of macro-economic policies and micro-economic behaviors: a latent space approach
- Boost sales by controlling diffusion paths in a multi-product line
- When does free shipping efficacy? The hysteresis mind changes of consumers
- Embedding behavioral intention in LLMs for personalized retail advertising
- Fine-tuning resource allocation under unknown uncertainty: large language model-assistance for comprehensiveness
- A generative-AI-enabled shipboard fire command training system: adaptive scenario for decision-making under uncertainty (optimization & LLM)
- Smart purchase and lifecycle maintenance system (inventory & LLM)
Medical Related
- Fatigue assessment through virtual photoplethysmogram: A mental dynamics approach via zero-shot transfer learning
- The early prediction of skin pressure ulcers through an ordinary camera: hyperspectral images and generative learning approaches
- Generative reconstruction from speech to personality (machine learning)
- A cycleGAN from hyperspectral images to skin composition (optics)
- Vascularization-aware arthroscopic meniscus repair: hyperspectral imaging with LLM-assisted analysis (tissue)
- Visualizing tendon vasculature in arthroscopic surgery using hyperspectral imaging and non-smooth manifold learning (tissue)
- Low-cost estimation of TMAO in urine by a novel spectral learning method (spectroscopy)
Note: Prof. Chen may arrange online interviews with shortlisted candidates. Students recruited may be considered for graduate study opportunities under Prof. Chen’s supervision.
