Mohammed Alkahtani

Papers

Total Citations

H-Index

About

Mohammed Alkahtani is a researcher focused on the intersection of sustainable product development and intelligent fault diagnostics within the Industry 4.0 paradigm. His work addresses critical challenges in managing the development of complex products, such as robots, by identifying key approaches and risks to optimize value and ensure sustainable competitiveness in global markets. His most cited paper, "Key Approaches, Risks, and Product Performance in Managing the Development Process of Complex Products Sustainably" (2021, 12 citations), provides a foundational framework for this domain. Demonstrating his versatility in applied AI, Alkahtani also contributes to industrial safety and reliability. His work "Fault Classification for Cooling System of Hydraulic Machinery Using AI" (2023, 8 citations) leverages artificial intelligence to enhance the diagnostics of hydraulic systems, which are vital across industries like manufacturing and robotics. By combining sustainable design principles with cutting-edge AI for predictive maintenance, Alkahtani’s research offers practical solutions for improving product performance and operational resilience in modern industrial environments.