Dr. M MONICA SUBASHINI

Designation : Professor Grade 1
School / Centre : School of Electrical Engineering
Department : Department of Control & Automation

Educational Details

B.E

Electronics and Instrumentation

Graduated in 2001

M.E

Applied Electronics

Graduated in 2007

Ph.D

Image Processing and Artificial Intelligence

Graduated in 2014

Areas of Specialization

• Medical Image Analysis for disease diagnosis (MRI/Pathological/X-Ray) using ML/DL Techniques • Human vital signs measurement and analysis of Bio-signals • Computer Vision in Health Care and transportation • Wireless Body Area Networks • AI in Renewable Energy Sources

: https://orcid.org/0000-0003-3491-8728

: 11

: 13

Title	Funding Agency
Features Extraction and Analysis of EEG Signals	Ajman University, United Arab Emirates
Low Cost Device for Recognition of Human-Being and Measurement of Body Temperature in aid to COVID-19 Detection	VIT
Computer aided system for detecting the impact of COVID-19 on human using deep learning techniques funded by RIC, Prince Sultan University under COVID-19 Fast Track Research 2020 (International)	Prince Sultan University, Saudi Arabia

Title	Publisher	Published Year
Medical Imaging With Intelligent Systems: A Review, Book: Deep Learning and Parallel Computing Environment for Bioengineering Systems	Academic Press	2019
Histopathological Image Analysis for the Grade Identification of Tumor; Book: Biologically Rationalized Computing Techniques For Image Processing Applications	Springer	2018
Analysis of Stutter Signals with Subsequent Filtering and Smoothening; Advances in Intelligent Systems and Computing	Springer	2014

Received Gandhian Young Technological Innovation Award (GYTI), 2014 for a project titled

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