Kenneth I.E

- At Université Évry Paris-Saclay, I deliver lectures on Data Science to Master's students, covering both theoretical foundations and practical applications. - Leveraging my research-industry expertise in Proba-Generative AI, Large Language Models (LLMs), and visionLM to design empirical projects and in-depth case studies into the curriculum.

Designing Intelligent applications for Industry 4.0 and GenAI features for papAI

Developing an AI-based solution for fault analysis in Microelectronics manufacturing industries of the future. Advance state-of-the-art self-learning probabilistic models for decision making (process flow forecasting) to reduce/improve cycle time.

Research internship at the French Institute of Petroleum on analysis of complex sensor time-series to detect anomalies during process monitoring of a pilot plant. Develop an aposteriori automated machine learning algorithm for early anomaly detection. Analysis of complex sensors, trends and potential anomalies.

• Data Collection from Offshore Windpark • Machine Learning for anomaly detection in Sensor data from Offshore Windpark System • Regression - Univariant/Multivariant/Ridge/Lasso/Tree Based Regression & Classification Modeling • Density Based Clustering for Anomaly Detection • Algorithm Design and Implmentation • Data Visualization | Bokeh & Plot.ly Dash • Django Based Application for online data visualization (Development and Deployment on Linux Server) • Version Control (Bitbucket)