Bio

Dr. Priya Ranjan Muduli completed his Ph.D. in the Signal Processing domain from the Department of Electrical Engineering, Indian Institute of Technology Kharagpur, India, in 2019.
Ph.D. Dissertation: "Sparsity-Driven Signal Recovery Methods"
Dr. Muduli's research includes Biomedical Instrumentation, Wearable Electronics, Intelligent Signal and Image Processing, Machine Learning, and Internet-of-things.

Dr. Muduli is the Associate Editor of IEEE Transactions on Instrumentation and Measurement (http://tim.ieee-ims.org/contacts/priya-ranjan-muduli)

Research Positions: Two Ph.D. and ten internship positions are available in Quantum Signal Processing and Machine Learning, Image Processing, Biomedical Instrumentation, and the Internet of Medical Things.

Professional Activities:

• 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.