Aknur Yesmurzayeva
Papers
1
Total Citations
2
H-Index
1
About
Dr. Aknur Yesmurzayeva is a leading researcher at the intersection of digital transformation and sustainable logistics, with a primary focus on Robotic Process Automation (RPA) and operational optimization. Her most-cited work, "A Comprehensive Framework for Integrating RPA into Logistics Systems" (2024, 2 citations), provides a pioneering blueprint for embedding automation into supply chain operations to enhance both efficiency and environmental sustainability. This framework stands out as a practical guide for industry practitioners, bridging the gap between emerging digital tools and real-world logistics challenges. Dr. Yesmurzayeva’s research directly addresses the pressing need for scalable, eco-friendly automation solutions, positioning her as a key voice in the digital logistics revolution. Her contributions are particularly notable for their actionable insights, offering a structured approach to RPA adoption that minimizes disruption while maximizing throughput and reducing waste. As the field of intelligent automation continues to evolve, her work serves as a foundational resource for researchers and engineers seeking to harmonize technological progress with sustainable practices. With a clear trajectory toward high-impact, industry-relevant scholarship, Dr. Yesmurzayeva is shaping the future of smart, green logistics.
Research Focus
Key Achievements
Top Papers
- 1A Comprehensive Framework for Integrating RPA into Logistics Systems2 citations · 2024