Refereed Journals

• N. Saidulu, A. Dasgupta, and P.R. Muduli, "RHLNet: Robust Hybrid Loss-based Network for Low-Dose CT Image Denoising," IEEE Trans. Instrumentation and Measurement, 2024, DOI: 10.1109/TIM.2024.3403187.
• N. Gautam; R. Verma; P.R. Muduli, S. Kar,  and A. Sarkar, "Quantification of creatinine in whole blood by a paper-based device using an RGB sensor", Analytical Method, Royal Soc Chemistry, England, 2024, DOI: 10.1039/d4ay01476f
• V. Kumar and P. R. Muduli, "Attentive Bi-LSTM-Based Method for Noise Suppression in Ambulatory ECG Measurements,"  IEEE Transactions on Instrumentation and Measurement, vol. 72, pp. 1-9, 2023, Art no. 2532409, DOI: 10.1109/TIM.2023.3330182.
• V. Kumar and P. R. Muduli, " Infimal convolution and AM-GM majorized total variation-based integrated approach for biosignal denoising, " Signal, Image and Video Processing, Springer Nature, vol.18, pp. 1919-1927, March 2024, DOI:10.1007/s11760-023-02902-7.
• P.R. Muduli, V. Kumar,  "A Proximity Operator-Based Method for Denoising Biomedical Measurements." Circuits Syst Signal Process, Springer Nature, vol. 42, pp. 6253–6277 (2023), https://doi.org/10.1007/s00034-023-02400-8

• T. Radhakrishnan, J. Karhade, S. K. Ghosh, P. R. Muduli, U. R. Acharya, R. K. Tripathy; “AFCNNet: Automated detection of AF using Chirplet transform and Deep Convolutional Bidirectional Long Short Term Memory Network with ECG signals,” Computers in Biology and Medicine, Elsevier, vol. 137, pp. 104783, 2021.

• P. R. Muduli and A. Mukherjee; "A Robust Estimator-based Nonlinear Filtering Approach to Piecewise Biosignal Reconstruction," IEEE Trans. Instrumentation and Measurement, vol. 69, no. 2, pp. 362-370, 2020.

• P. R. Muduli and A. Mukherjee; "A Moreau Envelope-based Nonlinear Filtering Approach to Denoising Physiological Signals," IEEE Trans. Instrumentation and Measurement, vol. 69, no. 4, pp. 1041-1050, 2020.

• P. R. Muduli, A. K. Mandal, and A. Mukherjee; "An Anti-Noise-Folding Algorithm for the Recovery of Biomedical Signals from Noisy Measurements," IEEE Trans. Instrumentation and Measurement, vol. 66, no. 11, pp. 2909-2916, 2017.

• P. R. Muduli and A. Mukherjee; "A Subspace Projection-based Joint Sparse Recovery Method for Structured Biomedical Signals," IEEE Trans. Instrumentation and Measurement, vol. 66, no. 2, pp. 234-242, 2017.

• P. R. Muduli and U. C. Pati; "Image Fusion based on Bilateral Sharpness Criterion in DT-CWT Domain," International Journal of Computational Vision and Robotics, INDERSCIENCE, vol.4, pp. 161-170, 2014.

Book Chapters

• R. Arya,  U. Agrawal, A. Singh, E. Gupta, P. R. Muduli, "Development and Implementation of an Efficient Deep Residual Network for ECG Classification," In Bhateja, V., Yang, XS., Chun-Wei Lin, J., Das, R. (eds) Intelligent Data Engineering and Analytics. FICTA 2022. Smart Innovation, Systems, and Technologies, vol. 327, pp.269-280, Springer, Singapore ( ISBN: 978-981-19-7523-3). 

• P. R. Muduli and U. C. Pati; "A Novel Edge Detection Technique for Multi-Focus Images using Image Fusion," Intelligent Computing, Networking, and Informatics, Springer India, ISSN: 1867-5670, pp. 359-367, 2014.

Refereed Conference Proceedings

• V. Kumar, G. V. S. Sai Bharadwaj, J. Jayarajan, M. N Gadani, P. Sharma, P. R. Muduli, "Wavelet-based Adaptive Boosting Method for Cuffless Blood Pressure Estimation on PYNQ-Z2", 2024 International Conference on Signal Processing and Communications (SPCOM), July 2024, IISc Bangalore, India.
•  
• Y.K Meena, Vinit Kumar and P.R. Muduli, "Schizophrenia Detection using Extreme GradientBoosting with Enhanced Features on PYNQ-Z2", 2023 IEEE 9th International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA2023), Malaysia.
•  
• V. Kumar and P. R. Muduli, "EWT-Domain Optimized Modified LoG Filtering for Motion Artifact Suppression from EEG Signals," 2023 International Conference on Microwave, Optical, and Communication Engineering (ICMOCE), Bhubaneswar, India, 2023, pp. 1-4, doi: 10.1109/ICMOCE57812.2023.10167168.

• S. Tiwari, P. R. Muduli; "Convolutional Neural Network-based ECG Classification on PYNQ-Z2 Framework", IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT), 08-10 July 2022, Bangalore, India.

• A. Chandel, V. Kumar, and P. R. Muduli; "Stacked Bi-LSTM Network and Dual Signal Transformation for Heart Sound Denoising," 5^th International Conference on VLSI, Communication and Signal Processing,14-16 OCTOBER, 2022.

• P. R. Muduli and A. Mukherjee; "Noise-assisted Trend-filtering of Fetal Electrocardiogram Signals," IEEE-EMBS Conference on Biomedical Engineering and Sciences, 03-08 Dec. 2016, Kuala Lumpur, Malaysia. 

• P. R.  Muduli, R. G. Reddy and A. Mukherjee; "A Deep Learning Approach to Fetal-ECG Signal Reconstruction," 22nd National Conference on Communications (NCC), 4-6 March 2016, IIT Guwahati, India. 

• S. T. John, P. R. Muduli, A. Mukherjee; "An Analog-Front-End for Non-Invasive Fetal Electrocardiography Monitoring," 2016 IEEE Techsym, Sep. 30-Oct. 02, 2016, IIT Kharagpur, India. 

• R. Reddy, P. R. Muduli, A. Mukherjee; "Compressed Sensing of Respiratory Signals Promoting Joint-Sparsity," 22nd National Conference on Communications (NCC), 4-6 March 2016, IIT Guwahati, India.

• P. R. Muduli and U. C. Pati; "A Novel Technique for Wall Crack Detection Using Image Fusion," Proc. of IEEE International Conference on Computer Communication and Informatics (ICCCI-2013), Jan-2013, Coimbatore, India.

• Our IEEE Signal Processing Society Student Branch Chapter of IIT(BHU) Varanasi won the IEEE UP Section SPS Outstanding Student Branch Chapter Award and Activity-based Branch Incentive Award” for the year 2023.
• Dr. Priya Ranjan Muduli has been selected for the IEEE UP Section (http://www.ieeeup.org/) Young Professional Star, 2021.
• Dr. Muduli is the Associate Editor of IEEE Transactions on Instrumentation and Measurement (http://tim.ieee-ims.org/contacts/priya-ranjan-muduli)
• Dr. Muduli has received the Certificate of Appreciation (2024) from the Department of Consumer Affairs (DoCA), Ministry of Consumer Affairs (MoCA) in recognition of his innovative methods and expertise in cutting-edge technologies for societal benefit and for being a Jury Member at the institute level in Dark Patterns Buster Hackathon (DPBH-2023).
• Best paper award at 10th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2022)
• Outstanding Reviewers of 2019, IEEE Instrumentation and Measurement Society, USA.
• National Post Doctoral Fellowship (NPDF-2019), Science and Engineering Research Board (SERB), Govt. of India.
• Institute Silver Medal, National Institute of Technology Rourkela, India (Year 2013).
• Best paper award for research paper presentation in International Conference on Advance Computing and Communication, ICACC-2013, Ranchi, India.

Invited Talks and Conference Management:

• Expert panelist in "Healthcare and Medical Technology" to develop a policy and vision on "Healthcare for Viksit Bharat 2047" at IIT(BHU) Varanasi on 31st August 2024.
• Expert lecture on "Convex Optimization-based Signal Processing and Machine Learning for Wearables", 17-Mar-2024, KARYASHALA- "Applications of Signal Processing for the Development of Wearables for Disabled and Elderly", IIT Patna, India.
• Session Chair at Alliance Technology Conference-1-International Conference on Artificial Intelligence and Applications-2023, Bengaluru, India, April 21-22, 2023.
• Expert lecture on "Applications of Machine Learning in Signal, Image and Computer vision (AMALGAM-2022)", IEEE Young Professionals, U.P. Section, September 14- 18, 2022, Uttar Pradesh, India.
• Expert lecture on "Convex Optimization Techniques for Signal Processing", Three Day Webinar on “Wireless Communication, Image, and Signal Processing” (WCISP: 20th – 22nd October 2022), SILICON INSTITUTE OF TECHNOLOGY, SILICON HILLS, PATIA, BHUBANESWAR, ODISHA.
• Expert lecture at Science and Engineering Research Board, High-End Workshops (“KARYASHALA”) on Advanced Statistical and Machine Learning Models, Department of Electronics Engineering, Indian Institute of Technology (BHU) Varanasi, 22-28 August 2022.
• Lecture at IEEE webinar organized by IEEE Uttar Pradesh section, 12th Sept. 2022.
• Expert lecture on "Applications of Machine Learning in Signal, Image and Computer vision (AMALGAM-2021)", IEEE Young Professionals, U.P. Section,  on 27- 31 Dec 2021.
• Signal Processing and Machine Learning Approaches  For  Biomedical Signals (SPMLB 2021), Department of Electrical Engineering, NIT Rourkela, October 25-29, 2021
• Guest speaker during the National webinar on "Recent Advancements in Signal Processing and Machine Learning" organized by the Department of Electronics and Communication Engineering, North Eastern Regional Institute of Science and Technology (NERIST), Nirjuli, Arunachal Pradesh, India on 28 January 2021.
• Invited speaker in AICTE Training and Learning (ATAL) Academy Online Faculty Development Program on "Architecture and Technologies for 5G and Beyond Wireless Networks", Department of Electronics Engineering, Indian Institute of Technology (BHU) Varanasi during 16-20 August 2021.    
• Invited speaker in AICTE Training and Learning (ATAL) Academy Sponsored One Week Online Faculty Development Program (FDP) on “Signal Processing and Machine Learning towards Engineering Applications”, organized by the Department of Electronics and Communication Engineering, North Eastern Regional Institute of Science and Technology (NERIST), Nirjuli, Arunachal Pradesh, India, during 23rd August 2021 – 27th August 2021.

Professional Training:

• Participated in a workshop on "Learning Sparse Representations for Signal Processing", National Mathematics Initiative, IISc. Bangalore (Feb 20-22, 2015).
• Attended the national workshop on "Medical Signal and Image Processing-2012", TEQIP-II, NIT-Rourkela in association with NI Systems, India.
• Reviewer of IEEE Transactions on Signal Processing, IEEE Transactions on Instrumentation and Measurement, and IET Healthcare Technology Letters.
• Publication Chair, 2016 IEEE Students' Technology Symposium (TechSym-2016).
• Technical Program Committee member, 2016 IEEE Students' Technology Symposium (TechSym-2016).
• Volunteer and Reviewer, International Conference on Systems in Medicine and Biology (ICSMB-2016). 
• Vice Chair and Treasurer, IEEE EMB Student Club IIT Kharagpur (2015-2018).

Professional Membership

• IETE Life member
• IEEE Member
• IEEE Signal Processing Society (SPS) Member
• IEEE Engineering in Medicine and Biology Society (EMBS) Member
• IEEE Engineering in Instrumentation and Measurement (I & M) Society Member

Editorial Task

• Associate Editor of IEEE Transactions on Instrumentation and Measurement (http://tim.ieee-ims.org/contacts/priya-ranjan-muduli)
• Faculty Advisor of IEEE Signal Processing Society student branch chapter, IIT(BHU), Varanasi.

Session 2024-25 (Odd Semester)

• Signal Processing (EC 511)
• Digital Communication (EC 311)
• Digital Communication Lab (EC-372)

Session 2023-24 (Odd Semester)

• Signal Processing (EC 511)
• Digital Communication (EC 311)

Session 2023-24 (Even Semester)

• Fault Tolerance Digital System Design (EC 561)
• Communication Lab-II (EC 599)
• Digital Circuits & Systems Lab (EC 273)

Session 2022-23 (Odd Semester)

• Digital Communication (EC 311)
• Fundamentals of Electronics & Instrumentation (EO 102)
• Digital Communication Lab (EC-372)

Session 2022-23 (Even Semester)

• Multiresolution Image Processing (EC 565)
• Fault Tolerance Digital System Design (EC 561)
• Communication Lab-II (EC 599)

Session 2021-22 (Odd Semester)

• Digital Communication (EC 311)
• Fundamentals of Electronics & Instrumentation (EO 102)
• Communication Lab-I (EC 591)

Session 2021-22 (Even Semester)

• Digital Image Processing (EC 424) 
• Fault Tolerance Digital System Design (EC 561)
• Fundamentals of Electronics & Instrumentation (EO 102)
• Analog Communication Systems Lab (EC 274)

Session 2020-21 (Odd Semester)

• Digital Communication (EC 311)
• Fundamentals of Electronics & Instrumentation (EO 102)
• Digital Communication Lab (EC 372)
• Communication Lab I (EC 591)

Session 2020-21 (Even Semester)

• Telecommunication Networks (EC 314) 
• Fault Tolerance Digital System Design (EC 561)
• Digital Circuits and Systems Lab (EC 273)
• Analog Communication Systems Lab (EC 274)

Internship positions are available in Machine Learning, PYNQ-Z2, Vitis-AI, Signal Processing, Image Processing, Internet-of-Things, and Biomedical Instrumentation.

• Project Title: Development of Wearable Internet of Medical Things for Continuous Health Monitoring of Astronauts

          Funding Agency: SAC, Indian Space Research Organization (ISRO), Department of Space, Govt. of India.

          Role: Principal Investigator

          Budget: Rs 26.09 Lakhs

          Duration: 3 Years (2022-2025)

• Project Title: Design and development of Reconfigurable Reflectarray Antenna at X-band

          Funding Agency: SAC, Indian Space Research Organization (ISRO), Department of Space, Govt. of India.

          Role: Co-Principal Investigator

          Budget: Rs 27.77 Lakhs

          Duration: 2 Years (2022-2024)

• Project Title: Knowledge Partnership for Digital Metrology

          Funding Agency: Ministry of Consumer Affairs, food, and Public Distribution, Govt. of India.

          Role: Co-Principal Investigator

          Budget: Rs 1.5 crore

          Duration: 5 Years (14.03.2023-13.03.2028)

Ph.D. Students

• Mr. Vinit Kumar (https://www.linkedin.com/in/vinit-kumar-b91381218/?originalSubdomain=in)
• Mr. Naragoni Saidulu (https://scholar.google.com/citations?user=19peRRIAAAAJ&hl=en)
• Mr. Naveen Kumar Yadav

M.Tech. Students

• Krishna Kishor 
• Govindarajula V S Sai Bharadwaj (21092030)
• Yagvendra Kumar Meena (21092022)
• Mahendra Kumar (21092031)
• Shobhit Tiwari (20092009)
• Abhinav Chandel (20092035)