Habib Hussain Zuberi
Papers
1
Total Citations
10
H-Index
1
About
Habib Hussain Zuberi is a forward-looking researcher at the intersection of artificial intelligence and business process innovation. His primary focus lies in Intelligent Process Automation (IPA), where he investigates how AI, machine learning, and robotic process automation converge to create human assistants that modernize and streamline organizational workflows. His most cited work, a 2025 systematic literature review on this topic (10 citations), critically examines the transformative potential of IPA in improving operational efficiency, reducing human error, and supporting decision-making. Though early in its citation life, this paper signals a growing interest in Zuberi’s contributions to the field. His research is particularly valuable for students and practitioners seeking to understand how AI-driven automation can augment—rather than replace—human roles in the workplace. By synthesizing current trends and identifying practical applications, Zuberi helps bridge the gap between theoretical AI advances and real-world business needs. As organizations increasingly adopt intelligent systems, his work provides a foundational roadmap for leveraging automation responsibly and effectively.
Research Focus
Key Achievements
Top Papers
- 1