Muhammad Zohair Qamar

Thesis Topic: "Domain Adaptation of Synthetic Generated Omnidirectional Images for Object Detection using Generative Adversarial Network". Sector: image Processing, artificial intelligence and deep learning using Tensorflow - Keras, Tensorboard, Python: Numpy, Scipy, Pillow, OpenCV, Matplot and analytics-relevant libraries Data Frames Pandas, Graphics Processing Units (GPUs), Objection Detection (YOLO, SSD).

Data labeling and annotation. Training of TFrecord dataset on Multiple GPUs Using CUDA programming. Management of multiple training Sessions on linux Using tmux (terminal multiplexer). Data analysis python (Pandas).

Provide on-site technical support on network infrastructure (Network point, switches). End to end VPN establishment, Firewall Installation and Configuration (Fortinet Device), Packet Filtering (According to SLA). CAT 5 Cable management, cable testing, Cables and I/O connectors fixing. Help Desk Support.

Computer Vision, Video Signal Processing , Next Generation Internet , Network Security, Self-Organizing Network, software defined networks.

Wireless and Mobile Communication, Signal and Systems, Data Communication, Information Theory and Coding, Optical-Fiber Communication