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Muralidhar Billa

Muralidhar Billa

Assistant Professor

About

I am an Assistant Professor in the School of Computer Science and Engineering at RV University with a passion for developing intelligent AI solutions for real-world healthcare and engineering challenges. My research focuses on Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Multimodal Learning, Explainable AI (XAI), and Large Language
Models (LLMs).

My academic background spans Mechanical Engineering, Information Systems, and Data Science, enabling me to integrate engineering principles with modern AI and data-driven technologies. Currently, I am pursuing my Ph.D. at RV University, where my research focuses on AI-assisted healthcare systems .

Alongside research, I actively mentor undergraduate students, coordinate academic activities, contribute to curriculum development, and conduct workshops on Artificial Intelligence, Data Science, Python, and Generative AI.

Research is meaningful only when it creates solutions that positively impact society.

International Journal Publication:
From Accuracy to Trust: Deployment-Verified Adaptive Confidence-Aware Fusion for Occlusion-Resilient Driver Monitoring on CPU-Bound Automotive Edge Hardware
International Journal of Intelligent Engineering and Systems (IJIES), 2026.
Depression Detection Based on NLP and ML Techniques Using Text and Speech Recognition
Trends in Sustainable Computing and Machine Intelligence,(ICTSM 2023).
Book Chapter:
Depression Detection based on NLP & ML techniques using Text and Speech Recognition Mar 25, 2022, 1st Edition, Publisher: Alliance University.

Published research in an international journal on Adaptive Confidence-Aware Multimodal AI for Driver Monitoring Systems.

Research Interests

Medical Artificial Intelligence

Explainable AI (XAI)

Multimodal Deep Learning

Dental Image Analysis

Computer Vision

Foundation Models

Vision-Language Models

Healthcare Informatics

Second Best Paper Award – Alliance Symposium on AI for Medical Sciences (2022)

Grade A – E&ICT Academy, IIT Guwahati

NPTEL Elite Certifications

Microsoft Azure AI Foundry Certified

Muralidhar Billa

Assistant Professor

B.E, Masters in Information systems (Australia), M.Tech in DataScience, Pursuing PhD

School of Computer Science and Engineering

School of Engineering

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