Asst. Prof. Aliza Raza Rizvi

Papers

Total Citations

H-Index

About

Asst. Prof. Aliza Raza Rizvi is a prominent researcher at the intersection of artificial intelligence and industrial innovation, with a particular focus on its transformative role in Indian manufacturing. Her most-cited work, "Artificial Intelligence (AI) and Its Applications in Indian Manufacturing: A Review" (2021, 71 citations), provides a comprehensive analysis of how AI technologies—from machine learning to robotics—are reshaping production processes, supply chains, and quality control in India’s industrial sector. This review has become a foundational resource for scholars and practitioners, highlighting both the opportunities and challenges of AI adoption in emerging economies. Beyond this flagship paper, her research explores the broader implications of AI for sustainable development and operational efficiency, earning her recognition as a thought leader in applied AI. With a growing citation impact, Prof. Rizvi’s work bridges the gap between cutting-edge technology and real-world manufacturing needs, offering actionable insights for industry stakeholders. Her contributions are particularly notable for their relevance to India’s "Make in India" initiative, positioning her as a key voice in the ongoing dialogue on digital transformation in manufacturing.