Lakshmi Sutha Kumar

Employment

• National Institute of Technology, Puducherry Professor
  2025 - Present
• National Institute of Technology Puducherry Associate Professor
  2022 - 2025
• National Institute of Technology Puducherry Assitant Professor
  2014 - 2022
• Nanyang Technological University Research Fellow
  2012 - 2014
• Nanyang Technological University Research Engineer
  2011 - 2012
• Bharathiyar College of Engineering and Technology Lecturer
  1998 - 2002

Education

• Nanyang Technological University Ph. D
  2007 - 2012
• Vellore Institute of Technology University M. Tech Communication Engineering
  2003 - 2005
• Bharathidasan University B. E
  1991 - 1994

Projects & Funding

Projects & funding information is unavailable.

Publications (64)

• Performance Comparison of Various Adders Implemented on FPGA
  Circuits, Systems, and Signal Processing 2026 DOI: 10.1007/s00034-026-03732-x
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• Fusion of auditory frequency scale features and deep spectral features for the detection of Parkinson’s disease using various classifiers
  Biomedical Signal Processing and Control 2026 DOI: 10.1016/j.bspc.2026.111235
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• Speech Emotion Recognition Using Cepstral Features Extracted With Gammatone Filter Banks Realized Based on ERB and Mel Frequency Scales
  IEEE Access 2025 DOI: 10.1109/ACCESS.2025.3644961
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• FPGA-Based Design of a Ready-to-Use and Configurable Soft IP Core for Frame Blocking Time-Sampled Digital Speech Signals
  Electronics 2024 DOI: 10.3390/electronics13214180
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• Advances in Automated Voice Pathology Detection: A Comprehensive Review of Speech Signal Analysis Techniques
  IEEE Access 2024 DOI: 10.1109/ACCESS.2024.3508884
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• An Analysis of Atmospheric Aerosol Characteristics Using Remote Sensing Data in the Indian Region
  Pure and Applied Geophysics 2024 DOI: 10.1007/S00024-023-03415-7
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• Cloud Segmentation, Validation of Weather Data, and Precipitation Prediction Using Machine Learning Algorithms
  Arabian Journal for Science and Engineering 2024 DOI: 10.1007/S13369-023-08611-0
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• Extraction of Surface Water Bodies using Optical Remote Sensing Images: A Review
  Earth Science Informatics 2024 DOI: 10.1007/S12145-023-01196-0
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• LWAMNNet: A novel deep learning framework for surface water body extraction from LISS-III satellite images
  Earth Science Informatics 2024 DOI: 10.1007/S12145-023-01187-1
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• Composition and source based aerosol classification using machine learning algorithms
  Advances in Space Research 2023 DOI: 10.1016/j.asr.2023.09.068
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