Refereed Journals

• 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

• 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

• 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.

• R. Arya, U. Agrawal, A. Singh, E. Gupta, and P. R. Muduli, "Development and Implementation of An Efficient Deep Residual Network for ECG Classification", 10th International Conference on Frontiers of Intelligent Computing: Theory and Applications, 18-19 June 2022, India.

• 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.

• Dr. Priya Ranjan Muduli has been selected for the IEEE UP Section (http://www.ieeeup.org/) Young Professional Star for the month of August 2021.
• Dr. Muduli is the Associate Editor of IEEE Transactions on Instrumentation and Measurement (http://tim.ieee-ims.org/contacts/priya-ranjan-muduli)
• 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:

• 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 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 2022-23 (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)

Research Positions:  JRF positions are available.

Applications are invited from motivated and eligible candidates for the position of Junior Research Fellow (JRF) in a research project entitled “Development of wearable internet of medical things for continuous health monitoring of astronauts” sponsored by the Indian Space Research Organization (ISRO), Department of Space, Govt. of India. The project is interdisciplinary in nature and candidates may get opportunities to work with state-of-the-art technology and tools (Hardware/Software). For more details, please visit https://www.iitbhu.ac.in/. Selected JRF will be involved in the design and development of hardware and software components for wearable internet-of-medical-things using signal processing and machine learning tools.

The last Date for submission of applications is November 15, 2022.

Salary: Rs 31,000.00 + HRA

Educational Qualification: B.E./B.Tech., with a minimum of 60% marks in Electronics and Communication/ Instrumentation/Electrical/Computer Science Engineering.  (or)

(ii) M.E./M.Tech., in Electronics and Communication/Instrumentation/Embedded system/IoT/Signal Processing Engineering with a minimum of 60% marks.

(iii) Experience in the area of signal processing, machine learning, Embedded system, Internet-of-Things, Instrumentation, and related field is desirable.

Interested candidates are required to submit a detailed CV to Dr. Priya Ranjan Muduli, Department of Electronics Engineering, Indian Institute of Technology (BHU) Varanasi-221005, via e-mail: prmuduli.ece@iitbhu.ac.in. Please note that your CV should include contact details (address, mobile phone no., email ID), date of birth, qualifications, and relevant experience clearly mentioned. Incomplete applications will be rejected. The last Date for submission of applications is November 15, 2022. Only shortlisted candidates will be intimated by email for the interview.