Xiaole Liu

1. Research and development of deep learning-based industrial application - T project: multi-labelized complex industrial defect detection and classification 2. Research of advanced image processing algorithms for robotic vision - BU project: robotic vision and AI solution of DC link manufacturing for SNC 3. Creation of large scale industrial dataset for edge computing applications - iSIENet: imageset for Siemens Industrial Edge Net 4. Research on anomaly detection-based industrial application

1. Literature research of lead-acid batteries and one-class classification/anomaly detection algorithms 2. Analysis and processing of vehicular lead-acid battery sensor data 3. Implementation of battery change detection based on outlier detection, distributional change detection and regression analysis 4. Proposal and implementation of two new algorithms: Battery Distributional Change Detection (BDCD) and Generalized Regression Battery Change Detection (GRBCD) for fast battery change detection

1. Implementation of advanced path planning algorithms for autonomous driving mobile machines 2. Proposal of new pathfinding algorithm: Longest Side Approximation (LSA) 3. Assist in creation of the first image database of mobile machines KIT MOMA for deep learning-based autonomous driving

1. Maintenance of automation equipments in TFT-LCD assembly lines 2. Big data analysis of daily production and equipments 3. Lead of artificial intelligence-powered industrial automation projects - Project: improvement of photoresist layer coating equipment stability based on intelligent control - Project: machine vision solution for TFT-LCD panel defect inspection efficiency increment - Project: improvement of AOI machine inspection stability based on new machine vision algorithm

Master's thesis: Battery Change Detection by Machine Learning

Bachelor's thesis: Human Detection Based on HOG Feature and LVQ Neural Network