Departments
Admin

Ms. Geetha P. V.

Assistant Professor

Areas of Specialization

Algorithms
Algorithms, Image Processing, Cryptography, Operating Systems, computer organization, Software Engineering,
Areas of Interest

Data structure, Machine learning

Educational Summary


Course University Year
M. E Computer and Communication Anna University 2012
Ph.D Anna University pursuing
B.Tech Computer Science and Engineering University of Calicut 2006

Experience


From Date To Date Institution Name Designation
2006-08-03 continuing NCERC Lecturer
2012-06-01 2018-01-03 Prime Engineering College Assistant Professor
2021-10-25 2023-05-10 Govt Polytechnic College Lecturer
2023-07-17 2026-01-19 Dhanalakshmi Srinivasan College of Engineering Assistant Professor
2026-01-21 0000-00-00 Jyothi Engineering College Assistant Professor

Achievements


Achievement Year
NPTEL-Introduction to IOT 2025

Papers Published


Enhanced Chronic Kidney Disease Forecasting With Ant Bee Colony Optimized BILSTM - Transformer Model
Anomaly Detection in Medical Imaging Based on Multi-head Attention with Temporal Convolutional Networks
Comprehensive Analysis of Machine and Deep Learning Approaches for Fine-Grained Classification

Conferences / Workshop / FDPs Attended


ICMDPET2K24-Deep Convolution Neural Network-Based Fine-Grained Classification of Optical Remote Sensing Ship Images-AY 2023-2024
A NOVEL BASED,INTEGRATED COLLABORATIVE MODEL FOR SENSING AND IMAGE ANALYSIS IN GEOGRAPHIC CONCERNS -ICCCA -2024 -AY 2023-2024
Fine grained classification -ICMDPET 2025- AY 2025-2026
Comprehensive Analysis of Machine and Deep Learning Approaches for Fine-Grained Classification in Optical Remote Sensing Imagery -ICICNCT 2025 -AY2025-2026
Patent-AI-Enhanced Email Classification and Spam Filtering System Using Natural Language Understanding-202541116894--19/12/2025

Projects Guided


Projects Name Details Year
Real-Time Multimodal AI for Digital Media Integrity Using Guardian Protocol on Social Media S 6 project 2026
Anti-Forensic Challenges in Digital Forensics Investigations: An Overview of Techniques and Tools 2026