Muhammad Zahid

Research Assistant Ai and Machine Learning in Production Engineering @Werkzeugmaschinenlabor, Wzl Der Rwth Aachen

DE

Conducted research on semi-supervised machine learning (SSML) to predict product quality in industrial production processes.2. Created a benchmarking dataset for SSML by evaluating publicly available production quality datasets and comparing various SSML algorithms.3. Developed a methodology for combining labeled and unlabeled data to improve predictive quality without the need for extensive manual inspections.4. Implemented data analytics and machine learning techniques in Python to build and validate predictive models.5. Contributed to the development of a tool that can compare SSML algorithms, aiding future advancements in quality prediction and optimization in production environments.