Ms. Kavitha Veerappan is pursuing a full-time Ph.D from IIIT, Trichy. I have pursued an M.E (Master of Engineering) in VLSI DESIGN at the College of Engineering, Guindy, under Anna University, Chennai. I have pursued B.E (Bachelor of Engineering) in Electronics and Communication Engineering at Hindusthan College of Engineering and Technology, under Anna University. I have more than five years of full-time teaching experience after my post-graduation degree and three years of industry(software) experience after graduation. I have published five research papers in International Journals indexed in SCI and Scopus. I have published papers at various National and International Conferences. My main interests are Digital and Analog VLSI, Signal Processing, and Wireless Communication.
RESEARCH, TEACHING, or OTHER INTERESTS
Engineering, Signal Processing, Artificial Intelligence
12
Scholar Citations
2
Scholar h-index
RECENT SCHOLAR PUBLICATIONS
Multi-Scale Feature Extraction and Classification for Early Detection of Neurological Disorders MN V. Kavitha, Janani Annur Thiruvengadam, Dhanya G S, Sumesh Joe Cherian ... IN Patent App. 202,641,019,391 , 2026 2026.0
Deep learning-driven compressed sensing using U-Net for cognitive radio spectrum detection SG Kavitha Veerappan Wireless Networks , 2026 2026.0
AI based morpho-class net classifier with HOG approach for bone marrow cell classification BR G. Deepa, Kavitha Veerappan, D. Karthikeyan, A.T.R. Krishna Priya, E ... Information and Communication Systems, 8 , 2026 2026.0
Chapter 11 - Decision support system and detection mechanism for healthcare applications AB Sudha S. 1 , Kavitha Veerappan 1 , Ponkarthika M. 1 Future of Internet of Bio-Nano Things in Personalized Healthcare … , 2026 2026.0
Deep Learning-Based Spectrum Sensing in Cognitive Radio Networks using Stacked LSTM: Performance Analysis of SNR and BER SG Kavitha Veerappan Journal of Computer Science 21 (No. 11, 2025), 2547-2556 , 2025 2025.0 Citations: 2
Effective energy detection using machine learning techniques for cooperative sensing in cognitive radio networks K Veerappan, G Seetharaman Multimedia Tools and Applications 84 (26), 31047-31068 , 2025 2025.0 Citations: 7
Enhanced Security Protocol for VLSI Systems: Modified AES Algorithm for Robust Data Transmission J Lawrence, DK Budagam, P Mukilan, K Veerappan, E Chandrasekhar, ... 2025 3rd International Conference on Integrated Circuits and Communication … , 2025 2025.0 Citations: 3
Machine Learning Neural Network Classifier Interfaced Skin Cancer Identification for Medical Diagnosis System B Chempavathy, K Veerappan, P Jose, SKA Theodore, R Rajasree, ... 2024 International Conference on Advancement in Renewable Energy and … , 2024 2024.0
Foundations of Electronics and Communication Engineering V Kavitha 2024.0
REVOLUTIONIZING WIRELESS COMMUNICATIONS: ADVANCED SIGNAL PROCESSING TECHNIQUES FOR COGNITIVE RADIO NETWORKS DGS Ms. V. Kavitha IN Patent App. 202,441,050,031 , 2024 2024.0
REVOLUTIONIZING WIRELESS COMMUNICATIONS: ADVANCED SIGNAL PROCESSING TECHNIQUES FOR COGNITIVE RADIO NETWORKS DGS Ms. V. Kavitha IN Patent App. 202,441,050,031 , 2024 2024.0
Spectrum Sensing System for Cognitive Radio K Veerappan, M Murali International Conference on Automation, Signal Processing, Instrumentation … , 2020 2020.0
A VLSI Architecture Realisation of an Wireless Endoscopy System K Veerappan, R Pitchaikkannu
MOST CITED SCHOLAR PUBLICATIONS
Effective energy detection using machine learning techniques for cooperative sensing in cognitive radio networks K Veerappan, G Seetharaman Multimedia Tools and Applications 84 (26), 31047-31068 , 2025 2025.0 Citations: 7
Enhanced Security Protocol for VLSI Systems: Modified AES Algorithm for Robust Data Transmission J Lawrence, DK Budagam, P Mukilan, K Veerappan, E Chandrasekhar, ... 2025 3rd International Conference on Integrated Circuits and Communication … , 2025 2025.0 Citations: 3
Deep Learning-Based Spectrum Sensing in Cognitive Radio Networks using Stacked LSTM: Performance Analysis of SNR and BER SG Kavitha Veerappan Journal of Computer Science 21 (No. 11, 2025), 2547-2556 , 2025 2025.0 Citations: 2
Multi-Scale Feature Extraction and Classification for Early Detection of Neurological Disorders MN V. Kavitha, Janani Annur Thiruvengadam, Dhanya G S, Sumesh Joe Cherian ... IN Patent App. 202,641,019,391 , 2026 2026.0
Deep learning-driven compressed sensing using U-Net for cognitive radio spectrum detection SG Kavitha Veerappan Wireless Networks , 2026 2026.0
AI based morpho-class net classifier with HOG approach for bone marrow cell classification BR G. Deepa, Kavitha Veerappan, D. Karthikeyan, A.T.R. Krishna Priya, E ... Information and Communication Systems, 8 , 2026 2026.0
Chapter 11 - Decision support system and detection mechanism for healthcare applications AB Sudha S. 1 , Kavitha Veerappan 1 , Ponkarthika M. 1 Future of Internet of Bio-Nano Things in Personalized Healthcare … , 2026 2026.0
Machine Learning Neural Network Classifier Interfaced Skin Cancer Identification for Medical Diagnosis System B Chempavathy, K Veerappan, P Jose, SKA Theodore, R Rajasree, ... 2024 International Conference on Advancement in Renewable Energy and … , 2024 2024.0
Foundations of Electronics and Communication Engineering V Kavitha 2024.0
REVOLUTIONIZING WIRELESS COMMUNICATIONS: ADVANCED SIGNAL PROCESSING TECHNIQUES FOR COGNITIVE RADIO NETWORKS DGS Ms. V. Kavitha IN Patent App. 202,441,050,031 , 2024 2024.0
REVOLUTIONIZING WIRELESS COMMUNICATIONS: ADVANCED SIGNAL PROCESSING TECHNIQUES FOR COGNITIVE RADIO NETWORKS DGS Ms. V. Kavitha IN Patent App. 202,441,050,031 , 2024 2024.0
Spectrum Sensing System for Cognitive Radio K Veerappan, M Murali International Conference on Automation, Signal Processing, Instrumentation … , 2020 2020.0
A VLSI Architecture Realisation of an Wireless Endoscopy System K Veerappan, R Pitchaikkannu
