Muhammad Zubair Khan

University of Missouri–Kansas City

Papers

1

Total Citations

4

H-Index

1

About

Dr. Muhammad Zubair Khan is a leading researcher in artificial intelligence, with a particular focus on deep learning and its transformative applications across critical domains. His work bridges bio-inspired computing and cloud-based decision systems, most notably through his highly cited 2021 paper, "Decision Support System to Optimize Cloud Service Prioritization for Model Deployment," which has garnered 4 citations and addresses the pressing challenge of efficient model deployment in cloud environments. Dr. Khan has made significant contributions to advancing AI in computer vision, signal processing, healthcare, transportation, security, robotics, and machine translation, demonstrating the revolutionary potential of bio-inspired deep learning algorithms. His research emphasizes making learning algorithms more efficient and practical for real-world implementation, a cornerstone of his scholarly impact. Through his innovative work, Dr. Khan continues to shape the future of intelligent systems, offering students and researchers a compelling model for applying theoretical AI concepts to solve complex, interdisciplinary problems.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Decision Support System to Optimize Cloud Service Prioritization for Model Deployment
4 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: University of Missouri–Kansas City

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago