About
Sathea Sree S. is an experienced academic professional with over 11 years of teaching and research in Computer Science. She currently serves as an Assistant Professor at Vels Institute of Science, Technology & Advanced Studies (VISTAS), Chennai. Her expertise spans Cloud Computing, Networking, and Machine Learning, and she has a strong passion for mentoring undergraduate and graduate students.
Sathea Sree is pursuing her Ph.D. in Computer Science at Bharath Institute of Higher Education & Research. She holds a Master of Engineering (M.E.) in Computer Science from Anna University and currently pursuing her Executive Program in Data Science from IIT Guwahati (INSAID).
Her research includes publications in reputed journals, focusing on privacy-aware models, AI-based e-learning assessments, and deep learning techniques for medical applications. Additionally, she has co-authored a patent on an IoT-based intelligent parking system. She is actively engaged in curriculum development and has received recognition for her teaching excellence and student mentorship.
Sathea Sree’s commitment to academic innovation and her collaborative approach to research continue to make a significant impact in her field.
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Education
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Publications (9)
- Adaptive Deep Linguistic Representation for High-Precision Cyberbullying Detection Using APO-Bi-LSTM with Attention Mechanism Save
- Detection of Cyberbullying in Social Media Streams: Metaheuristic-Tuned Temporal Fusion Network for High-Accuracy Text Interpretation Save
- Performance Analysis of Stimulus Reconstruction and Spatial Lateralization for EEG-Based AAD Using DL Applications Save
- Designing an empirical grid-connected PV system based on FLC-MPPT approach for local community use Save
- Revolutionizing Cyber-Bullying Detection with the BullyNet Deep Learning Framework Save
- Revolutionizing brain tumor diagnosis with adaptive CNN models Save
- Towards Sustainable and Transparent Solar Energy Systems using Explainable AI Save
- Deep learning ensemble approach with explainable AI for lung and colon cancer classification using advanced hyperparameter tuning Save
- Multi-Model Fusion for Enhanced Cyber-Bullying Detection in Digital Communication Save