Nayeem Haider

Work: Working on VERANO project which is coordinated by Infineon Technologies AG along with 11 other institutions. The work aims to study how to process data efficiently in digital radar networks for fully automated driving. It focuses on using AI methods and balancing the computing load between network controllers, sensors, and central computers. Currently assisting the investigation of Machine Learning solution of denoising the phase noise generated from Phase-Locked Loop synthesizer (PLL).

Work: Grading the course work (Introduction to Programming) of an undergraduate program along with contributing to internal research.

Work: Time series data analysis to understand the pattern. Integration of feature selection algorithms to identify the best set of features for training the model. Tuning the hyperparameters of XGBoost model to improve prediction accuracy.