Department of Computer Science & Engineering (Emerging Technologies)
Degree
Specialization
University/Institute Name, Year
Ph.D
Electronics and Communication Engineering
Karpagam Academy of Higher Education,
2021
M.E
Communication Systems
Anna University,
2015
B.Tech
Electronics and Communication Engineering
Kalasalingam University,
2013
Diploma
Data Science
IIT Madras,
2022
Trustworthy AI
Explainable AI
Edge AI
AI for Healthcare
Biomedical Signal Processing
Wearable AI
Internet of Things (IoT)
Operating Systems
Artificial Intelligence
Data Analytics
Human Computer Interface
Machine Learning
Deep Learning
Advanced Data Visualization
Computer Vision
Web Technology
Assistant Professor, Department of ECE, Sri Krishna College of Engineering and Technology, Coimbatore, TamilNadu, June 2015 - March 2016
Research Associate, Department of ECE, Karpagam Academy of Higher Education, Coimbatore, TamilNadu, July 2017 - Dec 2020
Assistant Professor, Department of Artificial Intelligence and Data Science, Coimbatore, TamilNadu, Feb 2021 - May 2025
Assistant Professor (Selection Grade), Department of Computer Science and Engineering, Hindustan Institute of Technology and Science, Chennai, Tamil Nadu, June 2025 - May 2026
Assistant Professor (Selection Grade), Department of Computer Science and Engineering (Emerging Technologies), SRM Institute of Science and Technology, Vadapalani Campus, Chennai, Tamil Nadu, June 2026 – Till date
Outstanding Presenter Award at the International Conference on Electronics, Communication, Control and Computing Technologies (ICE4CT 2019), Malacca, Malaysia.
Qualified GATE 2013 with a score of 423.
Recipient of the AICTE Postgraduate Scholarship (Stipend) throughout the M.E. programme based on GATE qualification.
M. Lakshmi, M. P. Manopriyan, C. Naveen, S. Guleria, A. K. S. Agaash, “Website Integrity Monitoring System (WIMS),” IEEE 6th International Conference on Expert Clouds and Applications (ICOECA), Mar, 2026. (Scopus Indexed)
M. Lakshmi, A. K. Sivendhu, “AI-Powered Multilingual Dubbing & Voice Cloning”, International Conference on Sustainable Management and Advanced Research Technologies (IC-SMART 2026), Mar 2026. (Scopus Indexed)
Mewada, Shivlal, Lakshmi M. "Smart diagnostic expert system for defect in forging process by using machine learning process." Journal of Nanomaterials 2022.1 (2022): 2567194. (Web of Science, Scopus Indexed)
Lakshmi, M., P. Manimegalai, and S. Bhavani. "Non-invasive haemoglobin measurement among pregnant women using photoplethysmography and machine learning." Journal of Physics. Vol. 1432. No. 1. IOP Publishing, 2020. (Web of Science, Scopus Indexed)
Lakshmi, M., S. Bhavani, and P. Manimegalai. "Investigation of Non-invasive Hemoglobin Estimation Using Photoplethysmograph Signal and Machine Learning." International Conference On Computational Vision and Bio Inspired Computing. Springer, Cham, 2019. (Web of Science, Scopus Indexed)
Lakshmi, M., and P. Manimegalai. "Non-invasive Estimation of Haemoglobin Level Using PCA and Artificial Neural Networks." The Open Biomedical Engineering Journal 13.1 (2019). (Scopus Indexed)
Lakshmi, M., S. Bhavani, and P. Manimegalai. "Evaluation of Non-Invasive Measurement of Haemoglobin using PPG in Clinically Ill Pediatric Patients." IJITEE 3.5 (2019): 34. (Scopus Indexed)
Arivazhagan, S., W. Sylvia, L. Jebaran, and M. Lakshmi. "Multiple image encryption using fractional multiresolution transforms." Int J Appl Inform Syst (IJAIS) 8, no. 2 (2015): 25-31.
SRMIST Vadapalani
Welcome to the academic hub of SRMIST Vadapalani, where excellence meets opportunity and where students, faculty and staff collaborate to create an environment of intellectual curiosity, personal growth and academic excellence.
