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Faculty Dr Mudavath Ravi

Dr Mudavath Ravi

Assistant Professor

Contact Details

ravi.m@srmap.edu.in

Office Location

Homi J Bhabha Block, Level 3, Cubicle No: 15
Faculty Dr Mudavath Ravi

Faculty Information

Education

2025
PhD
University of Hyderabad, Telangana
India
2019
M.Tech.
Osmania University, Telangana
India
2015
B.Tech.
JNTUH University, Telangana
India

Personal Website

Research Interest

  • My research focuses on intelligent decision-support systems, recommender systems, and Explainable Artificial Intelligence (XAI). I integrate machine learning, fuzzy clustering, and explainability techniques such as LIME and SHAP to enhance transparency, fairness, and reliability in AI-driven applications, including resume categorization, text summarization, and personalized recommendation systems.
  • My current research focuses on imbalanced data handling in fraud detection and healthcare, along with developing explainable text summarization models to enhance predictive robustness and interpretability in real-world decision-making systems.

Memberships

Publications

Patents

Projects

Scholars

Interests

  • Explainable AI
  • Machine Learning
  • Natural Language Processing (NLP)

Thought Leaderships

There are no Thought Leaderships associated with this faculty.

Top Achievements

Research Area

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Computer Science and Engineering is a fast-evolving discipline and this is an exciting time to become a Computer Scientist!

Computer Science and Engineering is a fast-evolving discipline and this is an exciting time to become a Computer Scientist!

Recent Updates

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Education
2015
B.Tech.
JNTUH University
India
2019
M.Tech.
Osmania University
India
2025
PhD
University of Hyderabad
India
Experience
Research Interests
  • My research focuses on intelligent decision-support systems, recommender systems, and Explainable Artificial Intelligence (XAI). I integrate machine learning, fuzzy clustering, and explainability techniques such as LIME and SHAP to enhance transparency, fairness, and reliability in AI-driven applications, including resume categorization, text summarization, and personalized recommendation systems.
  • My current research focuses on imbalanced data handling in fraud detection and healthcare, along with developing explainable text summarization models to enhance predictive robustness and interpretability in real-world decision-making systems.
Awards & Fellowships
Memberships
Publications
Contact Details

ravi.m@srmap.edu.in

Scholars
Interests

  • Explainable AI
  • Machine Learning
  • Natural Language Processing (NLP)

Education
2015
B.Tech.
JNTUH University
India
2019
M.Tech.
Osmania University
India
2025
PhD
University of Hyderabad
India
Experience
Research Interests
  • My research focuses on intelligent decision-support systems, recommender systems, and Explainable Artificial Intelligence (XAI). I integrate machine learning, fuzzy clustering, and explainability techniques such as LIME and SHAP to enhance transparency, fairness, and reliability in AI-driven applications, including resume categorization, text summarization, and personalized recommendation systems.
  • My current research focuses on imbalanced data handling in fraud detection and healthcare, along with developing explainable text summarization models to enhance predictive robustness and interpretability in real-world decision-making systems.
Awards & Fellowships
Memberships
Publications
Contact Details

ravi.m@srmap.edu.in

Scholars