
معرفی
Dr. Muhammad Noman Shafique is a Researcher at the University of Aveiro, contributing to the BESIDE EU Horizon 2020 Project. His work focuses on Supply Chain Management, Digital Transformation, Circular Economy, and Industry 5.0. Previously, he held positions as Assistant Professor at the University of Buner and Gomal University, teaching courses in Business Analytics and Supply Chain Management. He completed his Postdoctoral Research (2023) and PhD (2020) at the University of Aveiro and Dongbei University of Finance and Economics, respectively. His research emphasizes sustainable business practices, digital innovations, and interdisciplinary collaboration. He has extensive international collaborations and has authored numerous high-impact publications on topics including AI in supply chains, big data analytics, and circular economy implementation.
Education:
- Ph.D. in Business Management (2020), Dongbei University of Finance and Economics, China
- Postdoctoral Research (2023), University of Aveiro, Portugal
- M.Phil. in Business Administration (2014), Preston University, Pakistan
- Bachelor’s in Business Administration (2011), Virtual University of Pakistan
Research Interests: His work blends technical advancements (e.g., AI, IoT) with sustainability goals. Key areas include:
• Synergies between Industry 5.0 and Circular Economy
• Digital Transformation in supply chains
• Predictive analytics for supply chain agility
• Policy impacts on sustainable practices
• Cross-cultural studies on technology adoption.
Publications Trends: His recent articles highlight themes like AI-driven supply chain optimization, circular economy implementation in manufacturing, and the role of digital technologies in sustainable practices. Notable contributions address humanitarian logistics, AR applications in retail, and QR payment systems in developing economies.
Labs & Teams: Active in the Competitiveness, Innovation and Sustainability (CIS) group and the DSS-Lab at University of Aveiro, focusing on data-driven decision-making tools and policy analysis for sustainable business models.



