Parham Dadash Pour

Papers

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About

Parham Dadash Pour is a researcher at the forefront of industrial digitalization and intelligent control systems, whose work bridges the gap between strategic decision-making and advanced mechatronics. His primary research areas encompass Industry 4.0 technology selection, fuzzy logic systems, and adaptive control for autonomous robotics. Dadash Pour’s most impactful contribution is his 2023 paper on an Industry 4.0 Technology Selection Framework, which has garnered 23 citations. In this work, he developed a robust multi-criteria decision-making model using Fuzzy AHP and Fuzzy TOPSIS methods, enabling manufacturing firms to systematically identify the most suitable digital technologies based on resilience, connectivity, and real-time data processing—a critical tool for navigating the fourth industrial revolution. Additionally, his 2022 study on a Type-2 Fuzzy Adaptive PID Controller for differential drive mobile robots (7 citations) showcases his expertise in mechatronics, where he innovatively automated PID gain tuning using type-2 fuzzy systems to enhance robotic performance. Through these contributions, Dadash Pour is helping shape smarter, more adaptive manufacturing systems and autonomous platforms, making his work essential reading for students and researchers in industrial engineering, robotics, and fuzzy control.