Dr.R.GUNASUNDARI
Professor · Pondicherry Engineering College
Research Interests
wireless sensor network, satellite communication, medical image processing
Biography
Dr.Gunasundarirecipient 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.
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 20...
Recent Google Scholar Publications
- An Energy-Aware Self-Adaptive Differential Evoluted Bear Smell Optimization Algorithm for sustaining Network Lifetime in WSNs
- Circularly Polarized Wideband Millimeter-wave 2-element MIMO Antenna
- Hybrid gannet optimization algorithm-based energy efficient cluster routing mechanism for extending network longevity in sensor networks
- Analysis and Prediction of Water Access and Hygiene on Resource Data Using
- A Comprehensive Examination of Machine Learning and Deep Learning
Links
- ORCID https://orcid.org/0000-0001-9149-3354
- Google Scholar https://scholar.google.co.in/citations?user=xnASH5YAAAAJ&hl=en
- Scopus https://www.scopus.com/authid/detail.uri?authorId=None
- Personal Weblink https://pahang.uitm.edu.my