Dr.R.GUNASUNDARI

 of Outstanding Women in Engineering Award in March 2017.
 She is also the recipient of 3 Best Paper Awards’ for Technical Papers presented in International conferences and Class-A Distinction Award in the e-Yantra Project Contest, IIT, Mumbai.
 She has authored a monograph titled ‘Fault tolerant Micro Mobility Protocols – Technology and Protocols for Wireless Networks’.
 She is the Principal Investigator of AICTE - RPS project ‘Development of autonomous Mobile health care service.
 She is the guest editor for special issues of IJCSIS, Vol. 14, CIC 2016, Intelligence in Communication Systems, Inderscience Publishers, 2017, editor for GREEN ICT 2013 conference proceedings, Editorial Board Member IJAEEE and IJACTE. She reviews manuscripts for Springer, Elsevier, Wiley and many more.


 She has been the Chair, Co-chair and Invited/ Keynote Speaker in various forums and has delivered a host of domain based expert talks/ presentations/lectures in various FDPs, STTPs, Conferences, Workshops, Tutorials, Panel discussions and Seminars.
 She has been the Organizing Secretary for International Conference CIC 2016, National conference GREEN ICT 2013, FDP on Internet of Everything and WSN- Issues & Challenges 2018 and 2013.
 She has organized several workshops on Network simulators, Linux OS, Embedded micro controllers, Cloud computing etc., focused mainly to train the faculties and students of engineering colleges in Tamilnadu and Puducherry.
 She is the research supervisor at Pondicherry University and has more than 100 publications in reputed/indexed Journals, Books, Book chapters, Conference proceedings etc.
 Currently, she is involved in doing collaborative research in Energy Efficient Communications and Healthcare Applications with leading academic institutions and hospitals in Tamilnadu, Puducherry and Karnataka

EDUCATION

Prof. Dr. R.Gunasundari, Department of ECE, Pondicherry Engineering College, Puducherry is a well-known researcher in the areas of Sensor networks, Internet of Things, Communication and Computing and Bio-medical Engineering.
• Prior to joining as faculty in Pondicherry Engineering College, she served as Scientist Engineer – C at ISRO satellite center, Bangalore.
• To add to her credit, she was also offered appointments as Scientific officer / Engineer - C in Indira Gandhi Centre for Atomic Research(IGCAR), Kalpakkam and Lecturer, Dept. of ECE, CEG, Anna University, Chennai in 2001 and 2003 respectively.

RESEARCH INTERESTS

wireless sensor network, satellite communication, medical image processing

RECENT SCHOLAR PUBLICATIONS

Swarm intelligence for Cancer Care 4.0/5.0
R Gunasundari, RM Mathew
Sensor Networks for Smart Hospitals, 453-463 2025



A lightweight adaptive spatial channel attention efficient net B3 based generative adversarial network approach for MR image reconstruction from under sampled data
PA Kumar, R Gunasundari
Magnetic Resonance Imaging, 110281 2024



A Secured IoT Healthcare Architecture-Based Access Control System Using Deep Learning
R Gunasundari, U Swathiksha, S Hemalatha
Smart Healthcare and Machine Learning, 175-193 2024



AAV6 mediated Gsx1 expression in neural stem progenitor cells promotes neurogenesis and restores locomotor function after contusion spinal cord injury
Z Finkel, F Esteban, B Rodriguez, T Clifford, A Joseph, H Alostaz, ...
Neurotherapeutics 21 (4), e00362 2024



Assessing the Models with Resampled Data Using Explainable Artificial Intelligence Techniques
RM Mathew, R Gunasundari, SP Lal
Journal of Soft Computing and Data Mining 5 (1), 15-30 2024



Visualizing Alzheimer's Prediction: An Ensembled Deep Learning and Grad-CAM Approach
A Menon, R Gunasundari
2024 IEEE Recent Advances in Intelligent Computational Systems (RAICS), 1-7 2024



Assessment of Landslide Susceptibility Map in the Jaintia Hill District Using Remote Sensing and GIS
S Kumar, T Thomas, S Umare
EGU General Assembly Conference Abstracts, 14506 2024



Emerging Applications of Green Supercapacitors: A Critical Review
A Joseph, S Kumar, T Thomas
2023



Six-axis robotic arm integration with computer vision for autonomous object detection using tensorflow
C Srinivasamurthy, R SivaVenkatesh, R Gunasundari
2023 Second International Conference on Advances in Computational 2023



MR Image Reconstruction from Undersampled Data Using Multi Dense Residual Block Network with Spatial and Channel Attention Mechanism and Entropy Loss Function
PA Kumar, R Gunasundari
2023 Second International Conference on Advances in Computational 2023



Decagon Shaped Frequency Reconfigurable Antenna using PIN Diode
A Krishnalakshmi, R Gunasundari
2023 Second International Conference on Advances in Computational 2023



Analysis of RC delay using Multi level interconnects
S Aathilakshmi, DM Vaheen, H Vijay, G Mugundan, S Kumar, BS AS
2023 9th International Conference on Smart Structures and Systems (ICSSS), 1-6 2023



FPGA implementation of energy efficient Vedic multiplier using CSA architecture
S Aathilakshmi, G Mugundan, S Kumar, DM Vaheen, H Vijay, ...
2023 9th International Conference on Smart Structures and Systems (ICSSS), 1-8 2023



Design and FPGA implementation machine learning based steller matrix encryption and decryption for high throughput and low latency
U Rajashekhar, KP Kumar, MN Kumara, K Viswanath
AIP Conference Proceedings 2794 (1) 2023



An efficient fully automated lung cancer classification model using googlenet classifier
P Samundeeswari, R Gunasundari
Journal of Circuits, Systems and Computers 32 (14), 2350246 2023



A Cluster-based Undersampling Technique for Multiclass Skewed Datasets
RM Mathew, R Gunasundari
Engineering, Technology & Applied Science Research 13 (3), 10785-10790 2023



Computational intelligence in eye disease diagnosis: a comparative study
SVM Kumar, R Gunasundari
Medical & Biological Engineering & Computing 61 (3), 593-615 2023



Fractional Sailfish Optimizer with Deep Convolution Neural Network for Compressive Sensing Based Magnetic Resonance Image Reconstruction
PA Kumar, R Gunasundari, R Aarthi
The Computer Journal 66 (2), 280-294 2023



An oversampling mechanism for multimajority datasets using SMOTE and darwinian particle swarm optimisation
RM Mathew, R Gunasundari
International Journal on Recent and Innovation Trends in Computing and 2023



RE-SHFC: Renyi Entropy-Based Spotted Hyena Fractional Calculus Algorithm for MR Image Reconstruction
PA Kumar, R Gunasundari, R Aarthi
Sensing and Imaging 23 (1), 8 2022

MOST CITED SCHOLAR PUBLICATIONS

Design and analysis performance of kidney stone detection from ultrasound image by level set segmentation and ANN classification
K Viswanath, R Gunasundari
2014 International Conference on Advances in Computing, Communications and 2014
Citations: 64



Computer-aided diagnosis of anterior segment eye abnormalities using visible wavelength image analysis based machine learning
MK SV
Journal of medical systems 42 (7), 128 2018
Citations: 38



Analysis and implementation of kidney stone detection by reaction diffusion level set segmentation using xilinx system generator on FPGA
K Viswanath, R Gunasundari
VLSI Design 2015 (1), 581961 2015
Citations: 28



VLSI implementation and analysis of kidney stone detection by level set segmentation and ANN classification
K Viswanath, R Gunasundari, SA Hussan
Procedia Computer Science 48, 612-622 2015
Citations: 22



A review on handling multiclass imbalanced data classification in education domain
RM Mathew, R Gunasundari
2021 International Conference on Advance Computing and Innovative 2021
Citations: 17



Specular reflection removal using morphological filtering for accurate iris recognition
SVM Kumar, R Nishanth, N Sani, AJ Joseph, A Martin
2019 International Conference on Smart Structures and Systems (ICSSS), 1-4 2019
Citations: 14



An efficient congestion avoidance scheme for mobile healthcare wireless sensor networks
R Gunasundari, R Arthi, S Priya
International Journal on Advanced Networking and Applications 2 (3), 693-698 2010
Citations: 14



A review on electrophysiology based detection of diabetic retinopathy
U Shankar, R Gunasundari
Procedia Computer Science 48, 630-637 2015
Citations: 12



Computational intelligence in eye disease diagnosis: a comparative study
SVM Kumar, R Gunasundari
Medical & Biological Engineering & Computing 61 (3), 593-615 2023
Citations: 11



VLSI implementation and analysis of kidney stone detection from ultrasound image by level set segmentation and MLP-BP ANN classification
K Viswanath, R Gunasundari
Artificial Intelligence and Evolutionary Computations in Engineering Systems 2016
Citations: 11



Modified distance regularized level set segmentation based analysis for kidney stone detection
K Viswanath, R Gunasundari
International Journal of Rough Sets and Data Analysis (IJRSDA) 2 (2), 24-41 2015
Citations: 11



Performance Comparison of Mobile IPv4 and Mobile IPv6 protocols in wireless systems
R Gunasundari, S Shanmugavel
2009 First International Communication Systems and Networks and Workshops, 1-8 2009
Citations: 10



Diagnosis of corneal arcus using statistical feature extraction and support vector machine
SV Mahesh Kumar, R Gunasundari
Artificial Intelligence and Evolutionary Computations in Engineering Systems 2016
Citations: 9



Analysis and design of subthreshold leakage power-aware ripple carry adder at circuit-level using 90nm technology
G Amuthavalli, R Gunasundari
Procedia Computer Science 48, 660-665 2015
Citations: 9



Systematic analysis and review of magnetic resonance imaging (MRI) reconstruction techniques
PA Kumar, R Gunasundari, R Aarthi
Current Medical Imaging Reviews 17 (8), 943-955 2021
Citations: 8



Non-invasive measurement of cholesterol levels using eye image analysis
SM Kumar, R Gunasundari, N Ezhilvathani
International Conference on Advances in Computational Intelligence and 2016
Citations: 8



Design of deep learning reaction–diffusion level set segmentation approach for health care related to automatic kidney stone detection analysis
K Viswanath, B Anilkumar, R Gunasundari
Multimedia Tools and Applications 81 (29), 41807-41849 2022
Citations: 7



Kidney Stone Detection from Ultrasound Image by Level Set Segmentation and Multilayer Perceptron ANN
RG K.Viswanath
Elsevier International Multi Conference on Innovations in Engineering and 2014
Citations: from Ultrasound Image by Level Set Segmentation and Multilayer Perceptron ANN



Kidney stone detection from ultrasound images by Level Set Segmentation and multilayer perceptron ANN
KVR Gunasundari
Proceedings of the international Conference on Communication and Computing 2014
Citations: 7



A Cluster-based Undersampling Technique for Multiclass Skewed Datasets
RM Mathew, R Gunasundari
Engineering, Technology & Applied Science Research 13 (3), 10785-10790 2023
Citations: 6