Priya Ranjan Muduli

About

Dr. Priya Ranjan Muduli is associated with the Department of Electronics Engineering, IIT(BHU), Varanasi, India. He completed his Ph.D. in Signal Processing from the Indian Institute of Technology Kharagpur, India. He received his M.Tech. degree in Electronics and Instrumentation from the National Institute of Technology Rourkela, India in 2013. He is interested in developing signal processing algorithms to solve various real-world engineering problems. His current research work includes Sparse Signal Processing, VLSI Digital Signal Processing Systems, Wireless Communication, Image Processing, Biomedical Signal Processing, Instrumentation, Artificial Intelligence, and Machine Learning.
Dr. Muduli is the Associate Editor of IEEE Transactions on Instrumentation and Measurement (http://tim.ieee-ims.org/contacts/priya-ranjan-muduli)

Employment

• Indian Institute of Technology BHU Varanasi Assistant Professor
  2020 - Present

Education

• Indian Institute of Technology Kharagpur Ph.D
  2013 - 2019

Projects & Funding

Projects & funding information is unavailable.

Publications (25)

• A multi-domain feature-based ensemble learning approach for cuffless blood pressure estimation
  Artificial Intelligence in Emergency Medicine 2026 DOI: 10.1016/j.aiemed.2026.100004
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• IEEE Day 2025 Celebration by IEEE MTT-S Student Branch Chapter IIT BHU Varanasi [Around the Globe]
  IEEE Microwave Magazine 2026 DOI: 10.1109/MMM.2025.3636215
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• Report on DML Talk Organized by IEEE MTT-S Student Branch Chapter IIT BHU Varanasi [Around the Globe]
  IEEE Microwave Magazine 2026 DOI: 10.1109/MMM.2025.3636216
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• DARL-Net: Deformable-asymmetric residual learning and learnable non-local attention-based low-dose CT image denoising
  Physica Medica 2026 DOI: 10.1016/j.ejmp.2026.105874
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• Dynamic Perception-oriented Low-dose CT Image Denoising Network using Structure-aware Self-similarity
  Circuits, Systems, and Signal Processing 2025 DOI: 10.1007/s00034-025-03079-9
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• Asymmetric Convolution-based GAN Framework for Low-Dose CT Image Denoising
  Computers in Biology and Medicine 2025 DOI: 10.1016/j.compbiomed.2025.109965
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• Higher Order Spectra-Based Ensemble Learning Approach for Cuffless Blood Pressure Estimation
  IEEE Sensors Letters 2025 DOI: 10.1109/LSENS.2025.3541397
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• Exploiting Computational-Efficient Hybrid-Scale Self-Similarity for Low-Dose CT Image Denoising
  IEEE Transactions on Instrumentation and Measurement 2025 DOI: 10.1109/TIM.2025.3548204
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• QCM-Based Electronic Nose for Near-Real-Time BTEX Detection
  IEEE Transactions on Instrumentation and Measurement 2025 DOI: 10.1109/TIM.2025.3578708
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• Voxel-Sensitive Attention-Based Lattice Structure Residual Network for Low-Dose CT Image Denoising Using Wavelet-Based Structure Loss
  IEEE Transactions on Instrumentation and Measurement 2025 DOI: 10.1109/TIM.2025.3551793
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