Email: suganthi.k@vit.ac.in
PhD: Madras Institute of Technology,Anna University
Research Area: Wirless Sensor Network,IoT,Data Science
| Employee ID | 50911 | |||||
| Salutation (Prof./ Dr.) | Dr. | |||||
| Name | Suganthi | |||||
| Designation | Associate Professor | |||||
| School/Centre | School of Electronics Engineering | |||||
| Intercom | ||||||
| Educational details (Please mention all the degrees with latest first) | ||||||
| Degree | Passed out year | Specialization | Institute/University/ College | |||
| Ph.D | 2016 | Wireless sensor network
|
Madras Institute of Technology, Anna University | |||
| M.E | 2003 | Systems Engineering and Operations Research
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College of Engineering, Anna University | |||
| B.E | 2001 | Computer Science and Engineering
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Madras University | |||
| Diploma | ||||||
| Post-Doctoral Experience if any | ||||||
| Research Details | ||||||
| Areas of Specialization | Data Science, Deep learning, AI, IoT, Wireless sensor network | |||||
| ORCID ID | https://orcid.org/my-orcid?orcid=0000-0003-4064-6394 | |||||
| Scopus ID | https://www.scopus.com/authid/detail.uri?authorId=57192374462 | |||||
| H-index (scopus) | 7 | |||||
| Google Scholar ID | https://scholar.google.co.in/citations?user=QVypuzIAAAAJ&hl=en | |||||
| i10 index | 10 | |||||
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| Patent Published Details | ||||||
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| Book / Book Chapter Published Details | ||||||
| Title | Publisher | Year | ||||
| Suganthi, K., Karthik, R., Rajesh, G., & Ching, P.H.C. (Editors.). (2021). Machine Learning and Deep Learning Techniques in Wireless and Mobile Networking Systems (1stCRC Press ed.).. https://doi.org/10.1201/9781003107477 | CRC Press | 2021 | ||||
| Technologies for Healthcare 4.0: From AI and IoT to blockchain
Editors: Karthik Ramamurthy; Suganthi Kulanthaivelu; Kulandairaj Martin Sagayam; Soumi Dutta; Paryati, ISBN: 9781839537776 e-ISBN: 9781839537783 https://doi.org/10.1049/PBHE058E |
IET | 2023 | ||||
| Suganthi K., Narayanan S., Krithika M., Ganapathi A.S. Augmented reality/virtual reality for detecting anxiety disorder, (2023) Technologies for Healthcare 4.0: From AI and IoT to blockchain, pp. 165 – 179 | IET | 2023 | ||||
| K., Suganthi, et al. “CluniacChain: Blockchain and ML-Based Healthcare Systems.” Real-Time Applications of Machine Learning in Cyber-Physical Systems, edited by Balamurugan Easwaran, et al., IGI Global, 2022, pp. 218-240. https://doi.org/10.4018/978-1-7998-9308-0.ch014 | IGI Global | 2022 | ||||
| ByO.S. Gnana Prakasi, P. Kanmani, K. Suganthi, G. Rajesh, T. Samraj Lawrence,
“Distributed Link Aware-Reinforcement Learning Algorithm for Delay-Sensitive Networks” Machine Learning and Deep Learning Techniques in Wireless and Mobile Networking Systems, 2021 CRC Press, Pages14, eBook ISBN9781003107477 |
CRC Press | 2021 | ||||
| Awards & Recognition Details (only national and international awards and recognitions) | ||||||
| Name of the award, awarding agency, year of award | ||||||
| 1. Samsung ‘Certificate of Excellence’ 2021 | ||||||
| 2. Samsung ‘Certificate of Excellence’ 2020 | ||||||
| Major International Collaboration Details – Academic Collaboration Details | ||||||
| Type of collaboration (Research & publication/Funded Project/consultancy etc.), collaborating institute, year of collaboration | ||||||
| Research & publication – 1.Green University of Bangladesh, Dhaka, Bangladesh 2. Heliopolis University, Cairo, Egypt. | ||||||
| Major International Collaboration Details – Industry collaboration Details | ||||||
| Type of collaboration (Research & publication/Funded Project/consultancy etc.), collaborating industry, year of collaboration | ||||||
| Other Details | ||||||
| Editorial Experience (if any) | ||||||
| Personal Website Link (if any) | ||||||
