Rate My Professor G. Geetharamani

Dr. G. Geetharamani is the Dean - Academics and Professor of Computer Science & Engineering at M.I.E.T. Engineering College, situated on the Trichy-Pudukkottai Road in Tiruchirappalli, Tamil Nadu, India. She also serves as Professor and Head of the Department of Computer Science & Engineering, with a joining date of September 16, 2024. Possessing 27 years of academic experience, her qualifications encompass M.E. in Computer Science and Engineering, Ph.D., along with M.Sc., M.Phil., and PGDCA.

Dr. Geetharamani's distinguished career includes prior service as a Professor at Anna University and as Associate Professor and Head of the Department of Mathematics at University College of Engineering, Anna University BIT Campus, Tiruchirappalli, a role held from 2003. Her transition from mathematics to computer science leadership highlights her versatile expertise in applying mathematical principles to engineering challenges.

In research, Dr. Geetharamani has focused on fuzzy graph theory, intuitionistic fuzzy soft sets, queueing models, deep convolutional neural networks for image analysis, and metamaterial antennas. Notable publications include "Identification of plant leaf diseases using a nine-layer deep convolutional neural network" in Computers & Electrical Engineering (2019); "Metamaterial inspired THz antenna for breast cancer detection" in SN Applied Sciences (2019); "Design of Metamaterial Antenna for 2.4 GHz WiFi Applications" in Wireless Personal Communications (2020); "Fuzzy Parameterized Generalized Intuitionistic Fuzzy Soft Expert Sets" in International Journal of Mathematics and its Applications; "Fuzzy Expert Decision Set" (2015); and "Evaluation of Performance Measures of Bulk Arrival Queue with Multiple Vacations and Setup Times" in International Journal of Computational Engineering Research (2013). Recent contributions at M.I.E.T. include co-authoring "Intelligent Vision System for Detecting Fatigue and Distraction of Driver Assistance System" and "Alzheimer’s Disease from Brain MRI using VGG 16 based Deep Learning: A Review" for NCETET 2025.