Pooja Kherwa

Papers

1

Total Citations

74

H-Index

1

About

Pooja Kherwa is a prominent researcher in the field of machine learning, with a particular focus on the development and application of advanced algorithmic systems. Her work spans critical areas including reinforcement learning, natural language processing, computer and robot vision, image processing, and speech and emotional processing. Kherwa’s major contribution lies in synthesizing and advancing knowledge across these interconnected domains, as exemplified by her highly cited paper "Machine Learning - Algorithms, Models and Applications" (2021), which has garnered 74 citations to date. This work has been instrumental in helping researchers and practitioners understand the rapid evolution of machine learning systems, particularly in how they process and interpret complex human-centric data. By bridging theoretical models with practical applications, Kherwa has provided a foundational resource that continues to shape contemporary research in emotional and speech understanding. Her achievements underscore a commitment to making machine learning more accessible and impactful, positioning her as a key voice in the ongoing transformation of artificial intelligence technologies.

Research Focus

Key Achievements

1
H-Index
1
Papers
74
Total Citations
74
Avg Citations/Paper
🏆 Most Cited Paper
Machine Learning - Algorithms, Models and Applications
74 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 14

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago