Mubeen Ur Rehman

Licentiate in Mechanical Engineering

I am Mubeen, a Mechanical Engineer with experience in systems engineering and new product development. My research focuses on Model-Based Systems Engineering, particularly the challenges of decision support and requirements traceability in complex engineering systems.

Mechanical Engineer turned Systems Engineer with hands-on experience in new product development and complex engineering systems. Specializes in Space and Engineering Systems at the Skolkovo Institute of Science and Technology, Moscow where conducted research at the Center for Digital Engineering with a focus on Model-Based Systems Engineering and requirements traceability. At BTH, Sweden, completed a licentiate in Mechanical Engineering, focusing on the challenges of decision support systems in complex engineering environments, including model-driven approaches, simulation integration, and sustainability considerations.

Forskning

Mubeen’s research focuses on identifying and addressing the challenges encountered in the early phases of complex engineering system design. Early design stages are critical, as decisions made at this point have a profound impact on system performance, cost, sustainability, and overall feasibility. His work explores how uncertainties, incomplete requirements, and high variability in design alternatives can hinder effective decision-making and traceability. By leveraging Model-Based Systems Engineering (MBSE) and integrating simulation methods, Mubeen examines how these challenges can be systematically analyzed and mitigated. His research emphasizes model-driven approaches that provide structured decision support, enabling engineers to anticipate potential risks, understand trade-offs, and make informed choices that improve system robustness, reduce downstream errors, and enhance sustainability outcomes. Ultimately, his work bridges the gap between theoretical MBSE practices and their practical application in early-stage design, offering methodologies to navigate complexity and support better engineering decisions from the outset.

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