Rate My Professor Pradeep Kumar N S

Dr. Pradeep Kumar N. S. is Professor and Head of the Department of Electronics and Communication Engineering at SEA College of Engineering & Technology in Bengaluru, India, a position he has held while contributing to the institution since joining on July 4, 2008. He possesses qualifications of BE, MTech, and PhD, and serves as Faculty Representative on the college's Governing Council. His academic career at SEACET has focused on advancing education and research in electronics and communication engineering, leading the department which offers BE, MTech in VLSI Design and Embedded Systems, and PhD programs affiliated with Visvesvaraya Technological University.

Dr. Pradeep Kumar N. S.'s research interests include machine learning, signal processing, IoT, deep learning, remote sensing, cognitive computing, quantum machine learning, ECG analysis, VANET, facial recognition, disaster data analysis, agriculture bots, and vehicle collision detection. His publications feature 'An improved GBSO-TAENN-based EEG signal classification model for epileptic seizure detection' (Scientific Reports, 2024; 58 citations), 'Proposing model for water quality analysis based on hyperspectral remote sensor data' (Handbook of Hydroinformatics, 2023; 10 citations), 'Time Series Data Analysis using Machine Learning-(ML) Approach' (Library Philosophy and Practice, 2021; 10 citations), 'Multi-resolution hybrid sliding window approach for ECG arrhythmia detection using deep learning models' (Discover Applied Sciences, 2025), 'VANET used for Efficient Detection and Recognition of Objects in Image Processing' (International Journal of Engineering Research & Technology, 2014), 'Empirical Research on Facial Deepfake Detection: Taxonomy, Challenges, and Future Directions' (2025 International Conference on Mobile Networks and Wireless Communications), 'Integrating Disaster Data Clustering with Neural Networks for Comprehensive Analysis' (Journal of Propulsion Technology, 2024), 'A Security Analysis Model for IoT-ecosystem Using Machine Learning-(ML) Approach' (Recent Advances in Computer Science and Communications, 2024), 'Literature Survey on Image Interpolation' (International Journal for Scientific Research & Development), 'IOT based Theft Detection and Monitoring System' (International Journal for Scientific Research & Development), 'Encoding Time Optimization for IntraFrame Reconstruction Schemes for H.264' (International Journal for Scientific Research & Development), and 'A Novel Framework of Deblocking Filter using H.264 for Enhanced Compression Performance' (International Journal for Scientific Research & Development). He co-authored patents 'A VARIABLE DYNAMIC FRAME CAPTURING SYSTEM' (published 2022) and 'A SYSTEM FOR MONITORING IMPACT OF SACRED CHANTS ON PLANTS AND TREES THROUGH EMW RADIATIONS' (published 2021). His work has accumulated 91 citations on Google Scholar.