Muhammad Khisal Khalid

-Applying Machine Learning for Computer Vision experiments. -Statistical Analysis of experimental data in Python. -Developing rendering components to generate imagery of textured 3D models.

-Generation of Synthetic RGBD datasets using the technique of Domain Randomization. -Training of Synthetic Datasets Using TensorFlow for the purpose of object detection -Study the behaviour and accuracy of datasets by training through Tensorflow object detection API.

• Processing application-oriented research questions of image processing in the production and logistics area • Active cooperation with industrial partners in project consortia • Development of new methods and concepts for object recognition and quality control Work Domain: Computer Vision, Python, Artificial Intelligent and Machine Learning

Robotics, Control system, Architecture and Design Methodologies of Integrated Systems, Discrete Systems, Sensors and Measurement Systems, Speech and Audio Signal Processing, System Theory, Integrated Circuits, Nonlinear Systems, Advance Digital Systems.

Industrial Control and Automation, Instrumentation and Measurements, Control Systems, Digital System Design, Communication Systems, Embedded Systems and Robotics, Power Generation, Transmission and Distribution, Power Electronics, Computer Vision, Digital Signal Processing.