Subair Ali Liayakath Ali Khan

Marymount University

Papers

1

Total Citations

19

H-Index

1

About

Dr. Subair Ali Liayakath Ali Khan is a leading researcher at the forefront of autonomous robotics and intelligent industrial automation. His work centers on the critical integration of Artificial Intelligence and Machine Learning to create more adaptive, efficient, and precise robotic systems for manufacturing and industrial environments. His seminal 2024 paper, "Advances in Autonomous Robotics: Integrating AI and Machine Learning for Enhanced Automation and Control in Industrial Applications," has already garnered 19 citations, establishing a foundational framework for next-generation automation. Dr. Khan’s major contribution lies in demonstrating how AI-driven algorithms can enable robots to learn from their environment, optimize real-time decision-making, and significantly improve operational control beyond traditional programming. By bridging the gap between theoretical machine learning models and practical industrial deployment, his research is directly shaping the future of smart factories and autonomous production lines. His work is essential reading for engineers and researchers seeking to understand the practical pathways toward fully autonomous, intelligent manufacturing systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
19
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
Advances in Autonomous Robotics: Integrating AI and Machine Learning for Enhanced Automation and Control in Industrial Applications.
19 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: Marymount University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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