muhammad bilal

Topic: Machine Vision-Based Failure Detection • Developed a robust imaging pipeline to capture both real-time failure progression and post-failure conditions. • Built a machine learning model to classify failure types using an image dataset. • Integrated the vision system into the existing automation system. • Implemented classical image processing techniques and benchmarked them against machine learning models.

Focus: Robot as a Service • Contributing to developing the Robot-based solution for laboratory automation. • Programming robotic solutions to automate lab processes. • Designing and 3D-printing models for projects using CAD software.

The primary responsibilities were managing, scheduling, planning, and budgeting different projects. • Involved in designing/programming Automation Systems which mainly covers the integration of different types of equipment with the Control System. • Provided technical support and advice to plant operations and maintenance staff on field instrumentation and remote monitoring systems include process control systems, safety control systems, storage facilities monitoring and control network, etc.