Mohd Faraz

Topic: Development of a safe and legally compliant model for predefined scenarios in ADS 1. Extracted safety critical scenarios from legal documents such as German L4 Law and ISO-22737 using NLP 2. Developed a python-based tool to model and analyse parametric variation of scenarios 3. Developed theory and a highly interactive tool in python to analyse safety and comfort on real-map junctions Tool used: Python, NLTK, ASAM OpenScenario/Drive, Esmini, CARLA, MS Office, LaTeX, GitHub

1. Prepared a highly interactive sphinx documentation to allow critical analysis of legal documents concerning ADS 2. Extracted legal documents from several online resources such as raw html and pdfs 3. Used NLP to extract and link relevant media to the texts 4. Developed a generic tool chain to generate JSON files of highly complex documents 5. Used Tiger Corpus database to train the Natural Language ML model Tool used: Python, NLTK, JSON, .rst, HTML, Sphinx, matplotlib, data analytics, pandas, numpy

1. Explored several data driven approaches (OLS, DNNs) to predict pressure profiles in common rail injection system 2. Applied comparative analysis techniques to develop a robust and efficient ML model that can be implemented in ECU 3. Developed a robust 4-parameter SVM model for novelty detection of engine map data 4. Applied data-augmentation techniques to improve the accuracy of SVM model Tool used: Python, Adversarial ML, TensorFlow, Keras, Pytorch,Numpy,Pandas,TensorBoard, MS Excel, Plotly, Scikit

1. Modelled a part of Friedrichshafen city ( ZF buildings, road entities, generic buildings) in Blender for the simulator environment 2. Fast and efficient techniques to texture and render the 3D objects 3. Replaced linear model with an independent 4-wheel vehicle dynamics model developed in Matlab for improved rolling and pitching movement in the simulator 4. Adapted photogrammetric techniques to develop complex 3D models Tool used: MATLAB, Blender, GIMP, Inkscape, Rendering, Texturing, Photogrammetry

Xylem pumps Application: Booster, Transfer, Chilled water systems, Sewage water and Fire pumps.

- Advance Driver Assistant Systems(ADAS) - Lateral, Vertical and Longitudinal Dynamics of Vehicle - Alternative Vehicle Propulsion Systems - Electric Drives and Storage Systems - Self Driving lab (Programming) - Control Theory