Rizwan Iqbal
Papers
1
Total Citations
10
H-Index
1
About
Rizwan Iqbal is a forward-thinking researcher at the intersection of artificial intelligence and business process optimization. His work centers on Intelligent Process Automation (IPA), where he investigates how AI, machine learning, and robotic process automation can be synergistically integrated to create human-assistive systems that modernize organizational workflows. His most cited paper, "Intelligent Process Automation Using Artificial Intelligence to Create Human Assistant" (2025, 10 citations), is a systematic literature review that has quickly become a foundational reference for understanding how these technologies combine to boost efficiency and support human decision-making. By synthesizing current advancements, Iqbal provides a clear roadmap for deploying AI-driven automation in real-world business contexts, addressing both technical integration and practical impact. His research is particularly valuable for students and practitioners seeking to navigate the evolving landscape of digital transformation. With his work gaining traction in the academic community, Rizwan Iqbal is establishing himself as a key voice in the effort to build smarter, more responsive automated systems that augment rather than replace human capability.
Research Focus
Key Achievements
Top Papers
- 1