Krishna Presannakumar

About

Researcher working with sound signal processing, NLP and deep learning

Employment

• Christ (Deemed to Be University) Assistant Professor
  2025 - Present
• Indian Institute of Science Bangalore Research Intern
  2024 - 2025
• Santa Maria Public School and Junior College Post Graduate Tteacher
  2019 - 2020

Education

• Mahatma Gandhi University PhD
  2020 - 2025
• Mahatma Gandhi University M.Phil
  2018 - 2019
• Mahatma Gandhi University Master's
  2015 - 2017
• Mahatma Gandhi University Bsc
  2012 - 2015

Projects & Funding

Projects & funding information is unavailable.

Publications (12)

• Enhancing environmental sound classification with weighted attention-based spectrogram fusion and overlapping pre-patching
  Applied Soft Computing 2026 DOI: 10.1016/j.asoc.2025.114192
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• A Hybrid Non-local Ensemble (HNE) Framework for Robust Image Denoising under Uncertain Noise Conditions
  2026 DOI: 10.2139/ssrn.7174566
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• Enhanced Environmental Sound Classification Using Acoustic Feature Aggregation
  Lecture Notes in Networks and Systems 2026 DOI: 10.1007/978-981-96-5726-1_14
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• Improving Flood Prediction Using Artificial Neural Networks With Optimal Feature Selection on a Benchmark Dataset
  Journal of Forecasting 2026 DOI: 10.1002/for.70096
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• An enhanced model for environmental sound classification using bio-inspired multi-kernel optimization algorithm
  Applied Acoustics 2025 DOI: 10.1016/j.apacoust.2024.110463
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• Enhanced Environmental Sound Classification Usingmulti-Feature Fusion and Transformer Pre-Patching
  Ssrn 2025 DOI: 10.2139/ssrn.5078568
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• An Enhanced Approach for Environmental Sound Classification Using Multi-window Augmentation
  Signals and Communication Technology 2024 DOI: 10.1007/978-3-031-36670-3_6
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• Fusion Spectrogram for Sound Classification Using 2D Convolutional Neural Network
  Lecture Notes in Electrical Engineering 2024 DOI: 10.1007/978-981-99-6855-8_49
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• Deep Learning Based Source Identification of Environmental Audio Signals Using Optimized Convolutional Neural Networks
  SSRN 2023 DOI: 10.2139/ssrn.4355122
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• Deep learning based source identification of environmental audio signals using optimized convolutional neural networks
  Applied Soft Computing 2023 DOI: 10.1016/j.asoc.2023.110423
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