Ashfaq Farooqui

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About

Ashfaq Farooqui is a researcher at the forefront of manufacturing systems engineering, specializing in data-driven process modeling and real-time industrial visualization. His work bridges the critical gap between raw factory floor data and actionable decision-making tools for engineers and managers. Farooqui’s most impactful contribution, "From factory floor to process models: A data gathering approach to generate, transform, and visualize manufacturing processes" (2018, 30 citations), introduces a comprehensive methodology for capturing, converting, and visually representing complex manufacturing workflows. This approach enables the calculation of key performance indicators (KPIs) that empower data-driven operational improvements. Complementing this, his work on "Real-time Visualization of Robot Operation Sequences" (2018) advances the ability to monitor and analyze robotic processes as they occur, enhancing system evaluation and efficiency. By developing frameworks that transform raw industrial data into intuitive, actionable models, Farooqui is helping to modernize manufacturing analytics, making sophisticated process evaluation accessible to practitioners. His research is particularly valuable for students and professionals seeking to understand how data science and visualization techniques can optimize real-world production environments.