Menu
Dr. M. Lakshmi
EXPERIENCE : 28 years of experience
RESEARCH INTEREST :
Sensor Networks, Artificial Intelligence, Machine Learning, Deep Learning, Data Mining, Data Science, Internet of Things(IoT)
COURSES :
- Machine Learning
- Operating Systems
- Data Structures
- Computer Networks
- Distributed Systems
- Distributed OS
- Mobile Communications
- Wireless Networks
Education
publications
awards & Achievements
Workshops / Seminars / Conferences
Work Experience
memberships
Responsibilities Held
Education
| Degree | Institute/Organisation | Specialisation | Year Of Passing |
|---|---|---|---|
| Ph.D. | Sathyabama University | Wireless Ad Hoc Network | 2007 |
| M. E. | University of Madras | Computer Science and Engineering | 2001 |
| B.E. | Bharathidasan University | Computer Science and Engineering | 1994 |
publications
- Refonaa, J., Lakshmi, M.(2021), “Remote sensing based rain fall prediction using big data assisted integrated routing framework”, Journal of Ambient Intelligence and Humanized Computing, https://doi.org/10.1007/s12652-020-02726-0, Published online on 03 Jan 2021. (Scopus and WoS Indexed) – Journal Impact Factor – 594
- Dhamodaran, , Lakshmi, M,(2020), “Comparative analysis of spatial interpolation with climatic changes using inverse distance method”, Journal of Ambient Intelligence and Humanized Computing, https://doi.org/10.1007/s12652-020-02296-1, Springer-Verlag GmbH Germany, part of Springer Nature 2020, Accepted: 2 July 2020.( Scopus and WoS Indexed) – Journal Impact Factor – 4.594
- Refonaa, , Lakshmi, M.(2020), “Optimized classification scenario for rainfall prediction using genetic algorithm” , Journal of Advanced Research in Dynamical and Control Systems, Vol. 12 | 03-Special Issue, pp.: 844-854, DOI: 10.5373/JARDCS/V12SP3/20201326 (Scopus Indexed).
- M S Roobini, Lakshmi M(2020), “Exploration of Magnetic Resonance Imaging for Prognosis of Alzheimer’s Disease Using Convolutional Neural Network”, Lecture Notes in Networks and Systems book series (LNNS, volume 130) 153-165, 2020. (Scopus Indexed)
- Dhamodaran, , Lakshmi, M.(2019), “Ensampling data prediction using sparse data in mobile intelligent system”, International Journal of Interactive Mobile Technologies, 2019, 13(10), pp. 106-119. (Scopus Indexed) Snip > 1.062
- Roobini, M.S., Lakshmi, M.,(2019) “Advancement of principal component judgment for the classification and prediction of Alzheimer’s disease”, International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-8, Issue-2S3, July (Scopus Indexed).
- Dhamodaran, S., Lakshmi, M,(2019) “Dynamic trustee Behaviour pattern for user support and its forecast prediction”, International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278-3075, Volume-8, Issue-7S, May (Scopus Indexed).
- Saravanan, P., Lakshmi, M. (2018), “Lateral Cephalogram analysis using Weighted Rough Neural Network for sex determination”, Journal of Engineering and Applied Sciences, Volume 13, Issue 24, 2018, Pages 10455-10460. ((Scopus Indexed)
- Rajalakshmi.V, Lakshmi.M, Anu, V.M.(2017), “A complete privacy preservation system for data mining using function approximation”, Journal of Web Engineering, Volume 16, Issue 3- 4, 1 June 2017, pp. 278-293. (Scopus and Web of Science Indexed). – Journal Impact factor 0.580
- Vinitha Stephie,V., Lakshmi.M, (2017) “Design and implementation of e-commerce web application”, ARPN Journal of Engineering and Applied Sciences, Volume 12, Issue 16, 1 August 2017, pp. 4769-4772 (Scopus Indexed).
- Sundharam Ramalingam and Lakshmi M (2016), ”A Fuzzy Based Sensor Web for Adaptive Prediction Frameworkto Enhance the Availability of Web Service”, International Journal of Distributed Sensor Networks, Volume 2016, Article ID 4972061, 14 pages, ( Web of Science Indexed) – Journal Impact Factor 1.151
- Lakshmi.M, Abhinayaa, E., Aiswariyaa Sruthi, E.(2016), “An android application for efficient E-question bank”, ARPN Journal of Engineering and Applied Sciences, Volume 11, Issue 13, 2016, Pages 8332-8335Open Access(Scopus Indexed).
- Rachel, N., Lakshmi.M, (2016), “Landslide prediction with rainfall analysis using Support Vector Machine “ Indian Journal of Science and Technolog, Volume 9, Issue 21, 2016, Article number 95275,(Scopus Indexed)
- Joseph, A.,Lakshmi.M, (2016), “Storm analysis with raw rainfall dataset by using Artificial Neural Network and Min-Max Algorithms “, Indian Journal of Science and Technology, Volume 9, Issue 10, 1 March 2016, Article number 88976(Scopus Indexed)
- Goyal, S.K., Das, S., Lakshmi.M, (2016), “Effective handling of patient health records using NoSQL: MONGODB”, Research Journal of Pharmaceutical, Biological and Chemical Sciences, Volume 7, Issue 4, July-August 2016, Pages 134-138.(Scopus Indexed)
awards & Achievements
Workshops / Seminars / Conferences
Work Experience
Academic Experience:
- Professor and Head, of Data Science and Business Systems, SRM Institute of Science and Engineering, Kattankulathur, Chengalpattu 603203, from 10th Aug 2019 – Till date
- Professor and Head, of AI and Deep Learning, Institute of CSE, Saveetha School of Engineering, SIMATS from 1st June 2019 to 31st July 2020
- Professor and Principal, School of Computing, Sathyabama Institute of Science and Technology, from 1st Sep 2018 to 3rd April 2019
- Professor and Dean, School of Computing, Sathyabama Institute of Science and Technology, from 1st June 2012 to 30th June 2018
- Professor and Head, of Computer Science and Engineering, Sathyabama Institute of Science and Technology from 1st Jun 2008 to 31st May 2012
- Assistant Professor, of Information Technology, Sathyabama Institute of Science and Technology from 1st June 2004 to 31st May 2008
- Senior Lecturer, of Information Technology Sathyabama Engineering College, from 1st June 2000 to 31st May 2004
- Lecturer, of Computer Science and Engineering Sathyabama Engineering College, from 14th Nov 1995 to 31st May 2000.
memberships
Responsibilities Held
