Sandeep Raj

About

Sandeep Raj is currently working as an Assistant Professor at Indian Institute of Information Technology Bhagalpur. Prior to this, I was a Ph.D. Research Scholar in Electrical Engineering Department at Indian Institute of Technology Patna, India. Prior to this, he served as visiting faculty in National Institute of Technology Patna, India in 2012. He received his M.Tech. degree (Gold Medalist) in Power Systems in 2011 and B.Tech. Degree in Electrical and Electronics Engineering in 2009.

His research interests include Biomedical Signal Processing, Embedded Systems Design and Fabrication.

Employment

• Indian Institute of Information Technology Bhagalpur Assistant Professor
  2018 - Present

Education

• Indian Institute of Technology Patna Ph.D Research Scholar
  2012 - 2018

Projects & Funding

Projects & funding information is unavailable.

Publications (16)

• An Interpretable and Uncertainty-Aware EEG Framework for Alzheimer’s Disease Diagnosis
  National Academy Science Letters 2026 DOI: 10.1007/s40009-026-02433-y
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• A Multi-modal Ensemble Framework with Topological GAF Features for Accurate EEG-Based Alzheimer’s Diagnosis
  National Academy Science Letters 2026 DOI: 10.1007/s40009-026-02254-z
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• High-sensitivity ammonia gas sensors based on source pocket double-gate vertical hetero-junction TFETs
  Physica Scripta 2026 DOI: 10.1088/1402-4896/ae3b21
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• Noise immune dielectric modulated transparent ZnO based DMBG-TFT for biosensing application
  Micro and Nanostructures 2025 DOI: 10.1016/j.micrna.2025.208248
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• An Adaptive Scheme for Real-Time Detection of Patient-Specific Arrhythmias Using Single-Channel Wearable ECG Sensor
  IEEE Sensors Letters 2024 DOI: 10.1109/LSENS.2024.3355710
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• An Efficient IoT-Based Platform for Remote Real-Time Cardiac Activity Monitoring
  IEEE Transactions on Consumer Electronics 2020 DOI: 10.1109/TCE.2020.2981511
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• A Personalized Point-of-Care Platform for Real-Time ECG Monitoring
  IEEE Transactions on Consumer Electronics 2018 DOI: 10.1109/TCE.2018.2877481
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• Automated recognition of cardiac arrhythmias using sparse decomposition over composite dictionary
  Computer Methods and Programs in Biomedicine 2018 DOI: 10.1016/j.cmpb.2018.08.008
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• Development of robust, fast and efficient QRS complex detector: a methodological review
  Australasian Physical & Engineering Sciences in Medicine 2018 DOI: 10.1007/s13246-018-0670-7
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• Sparse representation of ECG signals for automated recognition of cardiac arrhythmias
  Expert Systems with Applications 2018 DOI: 10.1016/j.eswa.2018.03.038
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