Dr.Gayadhar Pradhan

About

Dr. Gayadhar Pradhan received his M.Tech and Ph.D. degrees in Electronics and Electrical Engineering from the Indian Institute of Technology Guwahati, India, in 2009 and 2013, respectively. He is currently working as an Associate professor in the Department of Electronics and Communication Engineering at the National Institute of Technology Patna, India. His research interests include Signal Processing, Speech Signal Processing, Speaker Recognition, Speech Recognition, Keyword Spotting, and Deep Learning. He has published 78 research papers in various reputed journals and conferences, which include IEEE Transactions, IEEE Journals, IEEE Signal Processing Letters, Digital Signal Processing, Speech Communications, IET Signal Processing, Circuits, Systems, and Signal Processing, ICASSP, Interspeech, EMBC, SPCOM etc. He has been reviewing many IEEE, Elsevier and Springer journals and conferences. He is a senior member of IEEE and a member of the International Speech Communication Association (ISCA). He has guided 7 Ph.D. students and 21 M. Tech students. At present, 8 Ph.D. students are carrying out their research work under his supervision. He has also carried out two sponsored projects as Principal Investigator.

Employment

• National Institute of Technology Patna Associate Professor

Education

• Indian Institute of Technology Guwahati Ph.D
• Indian Institute of Technology Guwahati M.Tech

Projects & Funding

Projects & funding information is unavailable.

Publications (78)

• FPGA Implementation of IIR Notch and Anti-Notch Filters with an Application to Localization of Protein Hot-Spots
  IEEE Transactions on NanoBioscience 2023 DOI: 10.1109/tnb.2023.3238733
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• Optimized Feature Representation for Odia Document Clustering
  Data Management, Analytics and Innovation 2023
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• An intelligent fault detection and classification technique based on variational mode decomposition-CNN for transmission lines installed with UPFC and wind farm
  Electric Power Systems Research 2023 DOI: 10.1016/j.epsr.2023.109526
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• Data-Adaptive Single-Pole Filtering of Magnitude Spectra for Robust Keyword Spotting
  Circuits, Systems, and Signal Processing 2022 DOI: 10.1007/s00034-021-01923-2
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• Modeling Sub-Band Information Through Discrete Wavelet Transform to Improve Intelligibility Assessment of Dysarthric Speech
  International Journal of Interactive Multimedia and Artificial Intelligence 2022 DOI: 10.9781/ijimai.2022.10.003
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• A Transient-Extracting Transform Assisted Intelligent Fault Detection and Classification Approach for UPFC Installed Transmission Line
  2022 IEEE IAS Global Conference on Emerging Technologies (GlobConET) 2022 DOI: 10.1109/globconet53749.2022.9872493
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• A Dual-Time Transform Assisted Intelligent Relaying Scheme for the STATCOM-Compensated Transmission Line Connecting Wind Farm
  IEEE Systems Journal 2022 DOI: 10.1109/jsyst.2021.3070448
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• Significance of Filterbank Structure for Capturing Dysarthric Information through Cepstral Coefficients
  2022 IEEE International Conference on Signal Processing and Communications (SPCOM) 2022 DOI: 10.1109/spcom55316.2022.9840837
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• An approach for reducing pitch induced mismatches to detect keywords in children’s speech
  Multimedia Tools and Applications 2022 DOI: 10.1007/s11042-021-11243-x
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• Significance of single frequency filter for the development of children’s KWS system
  Interspeech 2022 2022 DOI: 10.21437/interspeech.2022-980
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