Abdul Haq Paracha

Research in the Filed of Autonomous Vehicle 3D Perception

Thesis in collaboration with Schaeffler AG. Two datasets were utilized in this research for Fault diagnosis through Machine-Learning (ML) / Deep-Learning (DL) to ease automotive engineers fault diagnosis task. Features are extracted from structure bourne data of Elecric Drive Unit (Gears) of Electric Vehicle (Audi E-Tron). The anomaly detection was done through deep neural network (DNN) autoencoder algorithm. Furthermore dimensionality reduction and clustering was done through T-SNE algrothm.

Following are the key tasks performed were, Microsoft Flight Simulator 2020 Tool (C++), DevOps (Dockers), PXE Boot System(Linux, Bash Scripting)

The primary job description of this job was to oversee, scheduling, planning, configuration, implementation, and execution of wireless communication, solar powered, CCTV and encryption solutions.

The key responsibility of this job was to support technical and commercial teams for integration and configuration of wireless communication solutions.

Main job responsibilities were to enhance technical capacity of research lab for integration of wireless solutions.

Signal Processing, Image processing, Audio processing, Machine Learning

Signal Processing, Electronics, Embedded Systems, Communication, Control Systems