April 29, 2020
Ms. S. Lakshmi Priya – Assistant Professor
cse
S.Lakshmi Priya, Assistant Professor in the Department of Computer Science and Engineering received her B.E (IT) degree First class with distinction from Bannari Amman Institute of Technology, Sathyamangalam and M.E.(CSE) degree First class with distinction from Sri Venkateswara College of Engineering, Sriperumpudur. She has received University ninth rank in her post graduation degree from Anna University.
She has more than 10 years of teaching experience. She has guided UG and PG projects in areas of Machine Learning and Data Analytics. She has also attended several faculty development programmes and have conducted workshops. She is a member of IEEE.
She is currently pursuing Ph.D under Anna University in the area of Big data analysis. Her research interests include Big Data Analytics, Machine Learning, Probabilistic models and Deep Learning
Areas of Research
Data Analytics, Machine Learning
Selected Publications
- Swaminatha Rao, Lakshmi Priya, and Suresh Jaganathan. “Intelligent short term traffic forecasting using deep learning models with Bayesian contextual hyperband tuning.” Computational Intelligence (2022).
- Lakshmi Priya, S., Namitha, K., Kumar, N. M., & Vengateshwaran, N. N. (2019). Information hiding using LSB replacement technique and adaptive image fusion. International Journal of Computer Aided Engineering and Technology, 11(2), 184-195.
- Lakshmi Priya, S., Anguselvi.S (2015). A hybrid technique for aytomatic classification of MRI brain images. Australian Journal of Basic and Applied Sciences, 9(33), 385-391.
- Lakshmi Priya, S., Godcy W. (2014). Face Recognition using Contour-based Multiscale Distance Matrix. International Journal of Emerging Technology and Advanced Engineering, 4(2), 167-172.
Funded Projects
Internal Funded Faculty Project: Storage and Processing of Streaming data for Smart Meter Application
Funding Agency: SSN Trust
Amount: 1.31 L
Internal Student Funded Projects
Funding Agency: SSN Trust
1. Sixth Sense Technology with Gesture control – 0.185L
2. Smart electricity meter – 0.25 L
3. Advanced Security System Integrated with Intelligent Transportation Systems – 0.20 L
4. IoT-Enabled locker system with App intervention for smart campus – 0.15L
5. QR code based smart trolley system for shopping malls – 0.09L
6. Smart TV add-on system for child eye safety – 0.2L
7. IoT Enabled Solar Distillation System- 0.22L
Professional Bodies
IEEE
Google Scholar :
https://scholar.google.com/citations?user=NnTS_mcAAAAJ&hl=en
LinkedIn :
https://www.linkedin.com/in/lakshmi-priya-swaminatha-rao-42b155174/