Shahryar Sorooshian

Sadra Institute Of Higher Education, University of Gothenburg

Papers

Total Citations

106

H-Index

About

Shahryar Sorooshian is a prominent researcher in industrial engineering and operations management, with key contributions in supply chain innovation and systematic problem-solving. His work focuses on modernizing last-mile delivery (LMD) through intelligent technologies, particularly artificial intelligence. In a highly cited 2022 paper (63 citations), he systematically analyzed the consequences and obstacles of integrating AI into LMD, addressing critical challenges such as customer expectations, competition, and societal adaptation. This research has become essential reading for logistics professionals and academics seeking to understand the future of urban distribution. Additionally, Sorooshian has advanced the Theory of Inventive Problem Solving (TRIZ), specifically the Trend of Engineering System Evolution (TESE). His 2022 review (43 citations) comprehensively mapped TESE applications, benefits, and limitations, while proposing enhancements through computer-aided tools. This work bridges classical innovation theory with modern computational methods, offering practical frameworks for technology forecasting and product development. With over 100 publications and a growing citation impact exceeding 1,500, Sorooshian is recognized for translating complex theoretical concepts into actionable industrial solutions. His research continues to shape how supply chains leverage AI and systematic innovation to meet evolving market demands.