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Muhammad Shahzeb Khan Gul is from Karachi, Pakistan. He obtained his Bachelor degree in Electronics Engineering from PAF-Karachi Institute of Economics and Technology in Dec 2014. He moved to Istanbul, Turkey after working for one and a half year as a System Design Engineer at a local engineering firm. He pursued his Master in Image processing and Machine learning from Istanbul Medipol University under the supervision of Prof. Dr. Bahadir K. Gunturk and graduated in May 2018. His master thesis entitled “Super-resolution of light field using deep learning” dealt with the spatial and angular resolution enhancement of commercially available light field cameras using convolutional neural networks (CNNs). During last 6 months of his master studies, he worked as a Digital Design and Verification Engineer focusing on hardware implementation of H264 video encoder and decoder on Cyclone V FPGA board.
In order to further explore his research areas and interest, Shahzeb joined Fraunhofer IIS for his PhD. He is working under the guidance of Group Leader Dr. Ing. Joachim Keinert. At Fraunhofer, his main focus will be to design and improve the current image processing algorithms that transform the source content into a high-quality light field or 3D mesh. He will also explore the application of booming deep learning architectures and studies for 3D reconstruction and view rendering.
Email: muhammad.gul@iis.fraunhofer.de
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