Department of Computer Science & Engineering (Emerging Technologies)
Degree
Specialization
University/Institute Name, Year
Ph.D.
IoT with Machine Learning
Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, (Thesis submitted),
M.E.
Computer Science and Engineering
Panimalar Engineering College,
2020
B.E.
Computer Science and Engineering
Panimalar Engineering College,
2018
Machine Learning
IoT
Designing PCB board
Information Security
Ethical Hacking
Digital Forensics
Cyber Law
Python Programming
Malware Analysis
Cloud Security
Cloud Computing
Network Administration
Security Threats and Trends
During my Ph. D program, I worked with scientist in ICAR – CIBA,
Completed “CAMBRIDGE Business English B1 Preliminary” level in UG
Acquired “Elite certificate in NPTEL Introduction to psychology” in UG.
Attended “IEEE Extreme 24 hours programming contest” in PG.
Involved in Real Time data collection from sensor for Brackish Water Shrimp Culture at CIBA – ICAR
Sowmiya, V., Kanagachidambaresan, G.R. & Muralidhar, M. “Tiny ML-based reconfigurable IoT platform
design for brackish water aquaculture monitoring”. Wireless Network (2023). https://doi.org/10.1007/s11276-023-03537-9 . SCI / WEB OF SCIENCE
Sowmiya, V., Kanagachidambaresan, G. R. (2024). “Brackish water parameters monitoring dashboard using Internet of things and industry 4.0”. EAI Endorsed Transactions on Internet of Things, 11.10.4108/eetiot.6860.
Sowmiya, V., Kanagachidambaresan, G.R. & Muralidhar, M “DO Sensor Parameter future prediction with
Machine learning” (2025). Accepted.
SRMIST Vadapalani
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