Dr. Niranjana Sampathila

About

Dr. Niranjana Sampathila, Senior member IEEE, Fellow of IE (India), is Professor and Associate Dean at the School of Electrical Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education. He has 29 years of experience in teaching and research. His major interests are working towards intelligent solutions to healthcare applications involving the design of AI, ML or DL, smart Biomedical engineering applications, and miniaturized system designs.
Patents: 4 Granted (international patents)
Associate Editor: JMIHI
Guiding: Ph.D., M.TECH, and B.TECH students

Employment

• Manipal Institute of Technology Professor and Associate Dean

Education

• Manipal Institute of Technology, Manipal Academy of Higher Education (MAHE) BE MTECH PhD
  2004 - Present

Projects & Funding

Projects & funding information is unavailable.

Publications (79)

• Diagnostic Accuracy of Artificial Intelligence Models for Differentiation of Squamous Cell Carcinoma and Adenocarcinoma of Lung—A Systematic Review
  Diagnostics 2026 DOI: 10.3390/diagnostics16030500
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• DVTPRED: an explainable machine learning framework for the early prediction of deep vein thrombosis
  Journal of Intelligent Systems 2026 DOI: 10.1515/jisys-2025-0051
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• Significance of essential vital signs for analysis of risk level of critical care patients – a review
  Journal of Intelligent Systems 2026 DOI: 10.1515/jisys-2025-0120
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• Explainable AI-Integrated Stacked Machine-Learning Model for Detection of Infectious Conditions Utilizing Vital Signs and Hematological Biomarkers
  Information 2026 DOI: 10.3390/info17030227
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• Behavioural Intentions to Adopt Artificial Intelligence in Healthcare: Exploring the Perception of Healthcare Professionals
  Journal of Technology in Behavioral Science 2025 DOI: 10.1007/s41347-025-00483-5
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• AirQuaNet: A Convolutional Neural Network Model With Multi-Scale Feature Learning and Attention Mechanisms for Air Quality-Based Health Impact Prediction
  IEEE Access 2025 DOI: 10.1109/ACCESS.2025.3574722
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• Content-Based Brain Magnetic Resonance Image Retrieval and Classification With the Proposed Deep Learning and Tissue-Based System
  IEEE Access 2025 DOI: 10.1109/ACCESS.2025.3588211
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• Corrections to “An Explainable Artificial Intelligence Integrated System for Automatic Detection of Dengue From Images of Blood Smears Using Transfer Learning”
  IEEE Access 2024 DOI: 10.1109/ACCESS.2024.3445249
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• Using Explainable Machine Learning Methods to Predict the Survivability Rate of Pediatric Respiratory Diseases
  IEEE Access 2024 DOI: 10.1109/ACCESS.2024.3516045
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• Machine Learning-Based Power Analysis of RISC-V Processor
  2024 DOI: 10.1007/978-981-97-5866-1_29
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