Rate My Professor M Praveena

Dr. Praveena has authored numerous publications in peer-reviewed journals and conference proceedings. Key works include 'A literature review on supervised machine learning algorithms and boosting process' published in the International Journal of Computer Applications (2018), 'Enhancing Security Features in Wireless Sensor Networks using AI based Deep Learning Methods' (2025), 'Range Estimation and Optimization Techniques for Electric Vehicles Using Machine Learning Algorithms' (2023), 'HACA: Hierarchical Aligned Cluster Analysis Using Temporal Boosting Clustering in Unsupervised Data', 'Dual Trust Based Service Allocation Protocol', 'Attack Detection Using Machine Learning', and 'Secure Data Transfer based on Wavelet Transform from Wireless Sensor Network'. These publications demonstrate her expertise in applying machine learning for security enhancement, cluster analysis, and data processing. She has also collaborated on papers addressing pre-processing in data mining and image-based deep neural networks. Additionally, she has functioned as a subject expert, Board of Studies (BOS) member, and Development Committee (DC) member at her institution, contributing to curriculum development and academic governance. Her work underscores a commitment to integrating emerging technologies like deep learning and AI into computer science education and research.