RENJINI RANI K.S
Associate Professor
Computer Science & Engineering
Academic Qualifications
Pursuing Ph.D.
Experience
Teaching Experience
Teaching Experience
19 years
Publications
- Scopus Indexed - Sequential-Attention Based Neural Architecture Integrating BiLSTM and Multi-Head Attention for Dynamic Anomaly Detection in IoT Environments.
- IEEE Conference - A Hybrid Deep Learning Model with 1D-CNN and Transformer Encoder for Anomaly Detection in Large Scale IoT Networks
Professional Development
Faculty Development Programmes (FDPs)
- FDP on Internet of things (IoT)” organised by skill Dzire,2024
- FDP on “Exploratory data analysis and visualisation” organised by electronic & ICT academy IIT Roorkee,2024
- FDP on “Artificial Intelligence & Machine learning” organised by department of AI, MET’s school of engineering, 2024
- Has participated and successfully completed AICTE training & learning (ATAL) Academy faculty development program on immersive virtual reality in Navigation the future of Learning at parthyush, Engineering college. ,2024
- FDP on Generative AI and Building LLM organized by Federal Institute of Science and Technology,2026
- FDP on Advanced Machine Learning Paradigm Thery ,Lab and Research Application organized by MEA engineering college,2026
- FDP on Research Methodology and Academic Writing in Digital Age by Paravara Rural Engineering college,2026
Conferences
- Cloud Enhanced Ensemble Intelligence for IoT attack detection in edge computing a critical review [NCRIESR’ 25]
- Edge Defender: cloud boosted Ensemble machine learning for edge computing empowered IoT attack detection [ICCIDA’ 24]
- An Exploitation liberated contract signing protocol using RSA signature [NETACS - 2011]
- Performance Evaluation of two hardware models of advanced encryption standards (AEs) algorithm [NCATC - 2010]
Areas of Expertise
Computer Science & Engineering
Areas of Interest
Machine learningIoTNetwork securityDeep learning