Ravi Kiran Mallidi

Papers

1

Total Citations

2

H-Index

1

About

Ravi Kiran Mallidi is a leading researcher at the intersection of artificial intelligence, machine learning, and digital transformation, with a particular focus on the banking and healthcare sectors. His most-cited work, "Automation using artificial intelligence and machine learning: A study on banking and healthcare" (2023), has garnered 2 citations and provides a foundational framework for understanding how AI, ML, and deep learning are reshaping customer-centric business processes. Mallidi’s major contribution lies in demonstrating how AI-enabled strategies create well-defined, automated workflows that enhance operational efficiency and user experience in critical industries. By bridging the gap between advanced programming frameworks and real-world applications, he has helped pave the way for more intelligent, responsive banking systems and healthcare solutions. His research underscores the transformative potential of automation, offering a roadmap for organizations seeking to leverage AI for competitive advantage. Mallidi’s work continues to inspire students and practitioners exploring the practical deployment of machine learning in high-stakes environments, making him a notable voice in the ongoing digital revolution.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Automation using artificial intelligence and machine learning: A study on banking and healthcare
2 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 3

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago