Mohanaprasad Kothandaraman

Employment

• Universiti Tunku Abdul Rahman Postdoctoral research fellow
  2018 - 2019
• VIT Chennai Professor
  2008 - Present
• Sathyabama University Assistant professor
  2006 - 2008

Education

• VIT University PhD
  2010 - 2016
• Thanthai periyar government insitute of technology/ anna university M.E
  2004 - 2006
• Ranippettai Engineering College/ Madras university B.E
  1999 - 2003

Projects & Funding

Projects & funding information is unavailable.

Publications (56)

• KAMI-NET: A novel robust Kolmogorov-attentive network for multi-reference echo cancellation
  Computer Speech & Language 2027 DOI: 10.1016/j.csl.2026.102046
  +Save
• HARMONY: A Framework for Multimodal LLM-Powered AI Agents in Smart Homes via the Model Context Protocol
  IEEE Access 2026 DOI: 10.1109/ACCESS.2026.3653992
  +Save
• Multi-Reference Echo Cancellation
  IEEE Access 2026 DOI: 10.1109/ACCESS.2026.3709458
  +Save
• A novel Adaptive Kolmogorov Arnold Sparse Masked Attention Model with multi-loss optimization for Acoustic Echo Cancellation in double-talk noisy scenario
  Computer Speech & Language 2025 DOI: 10.1016/j.csl.2025.101786
  +Save
• Multi-Channel Audio Enhancement using Dual-Stream Encoders with Attention Mechanisms and Spatial Discrimination GAN
  Circuits, Systems, and Signal Processing 2025 DOI: 10.1007/s00034-025-03073-1
  +Save
• Water Pipeline Leakage Recognition and Localization Using Machine Learning and Deep Learning Techniques
  Journal of Pipeline Systems Engineering and Practice 2025 DOI: 10.1061/JPSEA2.PSENG-1815
  +Save
• Attention-driven echo cancellation: A novel transformer-based approach for robust acoustic echo and noise cancellation
  Results in Engineering 2025 DOI: 10.1016/j.rineng.2025.105039
  +Save
• Audio-visual source separation with localization and individual control
  PLOS One 2025 DOI: 10.1371/journal.pone.0321856
  +Save
• A Novel Feature-Fusion-Based Sparse Masked Attention Network for Acoustic Echo Cancellation Using Wavelet and STFT Synergies
  Circuits, Systems, and Signal Processing 2025 DOI: 10.1007/s00034-024-02955-0
  +Save
• Water Pipeline Leak Detection and Localization With an Integrated AI Technique
  IEEE Access 2025 DOI: 10.1109/ACCESS.2024.3524669
  +Save