Master of Computer Applications (NBA Accredited)

Ms. Sreeji

Ms. SREEJI K B

Ph.D. Pursuing, MCA, BCA

Assistant Professor

Department of Computer Applications

About: Sreeji K. B. is a dedicated teacher and researcher with over three years of experience at Nehru College of Engineering and Research Centre, Pampady. She teaches advanced subjects like Software Engineering, Operating Systems, and Cloud Computing, and also guides students in practical labs such as Object-Oriented Programming and Data Structures.Currently pursuing her Ph.D. at Bharathiar University, she is actively involved in research and aims to contribute to the field of computing. Her work reflects a strong passion for teaching, continuous learning, and academic growth.
Research Interests: Artificial intelligence, Deep Learning, Machine Learning, Cloud Computing, Advanced Software engineering and operating system
Key Words: Multi-view mammography, breast cancer detection, cross-view consistency, Bayesian uncertainty quantification, Monte Carlo dropout, attention mechanism, deep learning
Area of Interest: Cloud Computing, Artificial Intelligence, Deep Learning, Machine Learning, Advanced Software engineering, Advanced Operating System
RESEARCHER ID: OUH-5321-2025
NCERC Unique Id: 4114
ORCID Profile: https://orcid.org/09-0001-9633-1204
Google Scholar Profile: https://scholar.google.co.in/citations?view_op=new_profile&hl=en

Sl.No Stream Branch Semester Subject
1 MCA MCA 1 Advanced Software Engineering
Data Structure Lab
2 Pharmacy B.Pharm 1 Communication Skills
3 MCA MCA 2 Advanced Operating System
Object Oriented Programming Lab
4 MCA MCA 3 Cloud Computing
Mini Project
5 MCA MCA 4 Main Project
Seminar
Year Title of Paper Conference/Journal Details
2026 Phishing Email Detection Using A Context-Aware Hybrid Deep Learning Framework
Cehres Road Map For Ehealth: Redesigning PCOS Menstrual-Tracking
Generative AI In Software Engineering
Hybrid Photonic Neural Networks For Ultra Fast And Energy–Efficient AI Acceleration
A Comprehensive Systematic Review Of Retrieval-Augmented Generation (RAG): Developments, Limitations, And Future Pathways
Customer Segmentation Using K-Means Clustering For Data-Driven Business Analytics
OncoVision AI: A Review on Artificial Intelligence–Driven Enhanced Breast Cancer Detection
Scalable And Secure Workflow Integration Using N8N: A Modern Approach To Enterprise Process Optimization
2025 Review on Advanced Deep Learning Design for Early-Stage Breast Image Cancer Detection – IICBS 2025
Early Breast Cancer Detection Using Deep Learning And Flamingo Optimization – ICDCE
Light Based Laser Technology
Empowering Diagnostics with Advanced Pattern Recognition and Data Mining
INFINIBAND: High Speed Networking Solutions
Bridging Real and Virtual Worlds: AR & VR in Metaverse Evolution
Blue Eye Technology
Zero Trust And 6G: Enhancing Security In Next Generation Networks
Overview of Magic Leap 1 As An AR Device
AI Driven Adaptive Honeypots for Dynamic Cyber Threats
2024 Analyzing Mammography Image Breast Cancer Detection using CNN and Feature Selection
Remotely Operated Video Enhanced Receiver
Ambient Intelligence
Artificial Intelligence In Medical Diagnostics And Imaging
Carbon Robotics Laser Weeder: AI Based Solution For Agriculture
Cryptography For Explainable AI
Advancing Road Safety Using AI
Plasma Antenna Technology
Smart Grid Technology Advancements
Gi-Fi Technology Using UWB Modulation
Year Title of the book Published by Edition
2024 Cloud Computing basics-An Academic perspective NCERC MEDIA & PUBLICATION DIVISION 978-81-966538-7-3 2024