Hassan

PhD student
Microwave Sensing, Signals and Systems (MS3), Department of Microelectronics

Expertise: Machine Learning algorithms for radar object detection and tracking applications in advanced driver assistance systems.

Biography

Mujtaba received his bachelor’s degree in Electrical Engineering at National University of Science & Technology, Pakistan in 2016. Afterwards, he started his master’s degree in Communications Engineering at Technical University Munich, Germany. He completed his master thesis with NXP Semi-Conductors, Germany where he designed an optimized convolutional neural network for dense optical flow estimation. Afterwards, he joined NXP as a Systems & Application Engineer in 2019. During this period, he had investigated machine learning algorithms involved during different stages of ADAS as well as their requirements for implementation on hardware accelerators. Currently, he is focusing on neural networks together with their requirements relevant to radar perception in ADAS. In December 2021, he joined Microwave Sensing, Signals and Systems Group as an external PhD candidate

Last updated: 22 Mar 2022

Mujtaba Hassan