Dr. M Krishna Chaitanya

About

M Krishna Chaitanya received the Ph.D degree from VIT-AP University, India, in 2024 and M.Tech degree from Kakatiya Institute of Technology and Science, Warangal, India, in 2008. He has teaching experience at various technical institutes . His research interests include biomedical signal, machine learning, deep learning, and optimization techniques.

Employment

• Geethanjali College of Engineering and Technology Assistant Professor
  2014 - 2021
• Ellenki College of Engineering and Technology Assistant Professor
  2012 - 2014
• St.Peters Engineering College Assistant Professor
  2009 - 2010

Education

• VIT-AP University Ph.D
  2021 - 2024
• Kakatiya Institute of Technology and Science M.Tech(VLSI and Embedded Systems)
  2006 - 2008
• Hi-Point College of Engineering and Technology B.Tech
  2002 - 2006

Projects & Funding

Projects & funding information is unavailable.

Publications (18)

• LDA NET: A Lightweight Dual Assignment Network for Extremely Small-Scale Object Detection in UAV Aerial Imagery
  International Journal of Pattern Recognition and Artificial Intelligence 2026 DOI: 10.1142/S0218001426500357
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• Superlet2D-EANet: A deep learning framework for Schizophrenia detection from EEG signals
  Biomedical Signal Processing and Control 2026 DOI: 10.1016/j.bspc.2026.109670
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• Performance enhancement of a 15-level reduced-switch MLI through THD reduction using hybrid metaheuristic optimization techniques
  Discover Applied Sciences 2026 DOI: 10.1007/s42452-026-09257-x
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• Electrocardiogram Signal Classification using a Lightweight CNN–TCN with Transfer Learning
  2025 5th International Conference on Mobile Networks and Wireless Communications (ICMNWC) 2025 DOI: 10.1109/icmnwc66779.2025.11354456
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• Single-channel EOG artifact removal using fixed frequency EWT and GMETV filter
  Scientific Reports 2025 DOI: 10.1038/s41598-025-10276-8
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• Expunging Baseline Wander from ECG Signals by Empirical Wavelet Transform Based Dyadic Boundary Points
  Circuits, Systems, and Signal Processing 2025 DOI: 10.1007/s00034-025-03245-z
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• Automatic Classification of Atrial and Ventricular Arrhythmias Using Scaled Bidirectional LSTM
  IEEE Sensors Journal 2025 DOI: 10.1109/JSEN.2025.3575848
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• Cross Subject Myocardial Infarction Detection From Vectorcardiogram Signals Using Binary Harry Hawks Feature Selection and Ensemble Classifiers
  IEEE Access 2024 DOI: 10.1109/ACCESS.2024.3367597
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• Pre-trained Bi-LSTM model for automated classification of ventricular arrhythmias using 1-D and 2-D ECG
  Bulletin of Electrical Engineering and Informatics 2024 DOI: 10.11591/eei.v13i4.6705
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• Baseline Wander Elimination from Electrocardiogram Signals Using Dyadic Boundary Points-Based Empirical Wavelet Transform
  Lecture Notes in Networks and Systems 2024 DOI: 10.1007/978-981-97-1841-2_31
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