Ms. Lakshmi S completed her Bachelorâs degree in Computer Science & Engineering from Anna University, Chennai, and her Masterâs degree in Computer Science and Information Science from Cochin University of Science and Technology. She joined the Federal Institute of Science and Technology, Angamaly on 31, July 2006 and is currently working as an Assistant Professor (Senior grade) in the Department of Computer Science and Engineering. She has a teaching experience of more than 16 years. Her areas of interest include Natural Language Processing and Machine Learning. She is pursuing a Ph.D. from Noorul Islam Centre for Higher Education. She is the staff coordinator of Thyra -CSE Students Association.
| B.E |
Computer Science and Engineering |
Anna University |
2005 |
| M.Tech |
Computer and Infomation Science |
CUSAT |
2013 |
| Ph.D |
Deep Learning in Education |
Noorul Islam Center for Higher education |
               Doing |
| Assistant Professor(Senior Grade |
FISAT |
November 2019- till date |
| Assistant Professor (Special Grade) |
FISAT |
July 2014-October 2019 |
| Lecturer |
FISAT |
July 2006-June 2014 |
- Session chair in the International Conference on Advanced Computing and Communication Technologies for High Performance Applications
- Completed NPTEL Online certification course on Machine Learning (Elite)
- Completed NPTEL Online certification course on Data Mining with a consolidated score of 90% (Top 2%)
- Thyra â CSE Studentâs Association Staff Coordinator since 2017
- Member of PAC
- NBA Criteria 7 member
- NAAC Criteria 2 member
- Â Anti â Ragging Cell Member
- Group Advisor and Mentor of CSE-B 2025-2029.
- KTU Coordinator
- NBA Criteria 8 Department Coordinator
- S. Lakshmi & C. P. Maheswaran (2024) Effective deep learning based grade prediction system using gated recurrent unit (GRU) with feature optimization using analysis of variance (ANOVA), Automatika, 65:2, 425-440, DOI: 0.1080/00051144.2023.2296790 (SCI journal â Taylor & Francis)
- Stroke Detection Using Deep Learning, 7th International conference on Advanced Computing and Communication Technologies for High Performance Application (2025)-International
- A Review on Detection of Stroke Using Neuroimages – Proceedings of the Third National Conference on Artificial Intelligence and Cognitive Computing, 18- 19 December 2024 (NCAICC24)
- Internatonal conferene on soft computing and Pattern Recognition (Lecture notes in Networks and systems : Springer) A Study on student Performance Prediction and Intervention Mechanisms in MOOC International 2023
- National Conference on Artificial Intelligence & cognitive computing Prediction of Studentâs Performance on Feedback using ML algorithms National 14-15 July 2022
- Attended a Faculty Development Program (FDP) on âFrontiers of Artificial Intelligence: Theories, Frameworks, and Cutting-Edge Applicationsâ organized by St. George College under the ATAL FDP initiative, held from 01/12/2025 to 06/12/2025
- Attended a Faculty Development Program (FDP) on âAI-Driven Learning Management Systemsâ organized by Mar Baselios Institute of Technology and Science, held from 21/07/2025 to 26/07/2025.
- Completed the NPTEL course on âData Miningâ during JanuaryâMarch 2023.
- Attended a Faculty Development Program (FDP) on âMLOpsâ organized by Chandigarh University, held from February 2â6, 2023.
- Attended an Online Certificate Course on âDeep Learning for Beginnersâ organized by TKM College of Engineering, held from August 26â28, 2022.
- Attended the programme on âInculcating Universal Human Values in Technical Educationâ organized by All India Council for Technical Education, held from December 6â10, 2021.
- Attended a programme on âPython for MLâ organized by Sree Buddha College of Engineering, held from October 18â22, 2021.
- Attended an Online Faculty Development Program (FDP) on âPractical Data Scienceâ organized by St. Joseph’s College of Engineering and Technology, held from July 19â23, 2021.
- Attended the International Webinar on âEmerging Trends in the Field of Science and Humanitiesâ organized by Federal Institute of Science and Technology, held from October 16â17, 2020.
- Attended the Webinar on âNextGen Computing Paradigmâ organized by PSG College of Technology, held from May 7â8, 2020.
- Participated in the International Conference on âAdvanced Computing and Communication Technologies for High Performance Applicationsâ organized by Federal Institute of Science and Technology, held from July 2â4, 2020.
- Attended a Faculty Development Programme on âOnline Learning Management Systemâ organized by St. Joseph’s College of Engineering and Technology, held from August 10â15, 2020.
- Attended the TEQIP Faculty Development Programme on âDeep Learning with TensorFlowâ organized by School of Engineering, Cochin University of Science and Technology, held from July 22â24, 2020.
- Attended a Faculty Development Programme on âResearch Methodology: Tools and Techniques (Online)â organized by IILM College, held from May 18â22, 2020.
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| TITLE |
YEAR |
| Attendence and feedback system using CNN for online classes. |
2024 |
| Learning Style Identification in MOOC environment using Machine Learning |
2023 |
| Prediction of Students Performance based on feedback using Machine Learning algorithms |
2022 |
| Deletion of malicious code variants based on deep learning |
2021 |
| Student Engagement Recognition in an E-LearningEnvironment. |
2021 |
| Large Scale Scene Classifier |
2020 |
- Data Mining and ware housing
- Artificial Intelligence
- Neural Networks
- Operating systems
- Computer Programming
- Computer Organization
- Data Structures and algorithms
- System Software
- Python for Machine Learning
- Problem Solving and Computer Programming
- Concepts in Software Engineering
- Introduction to software Testing
- Natural Language Processing
- Object Oriented ProgrammingÂ
- Content based Image and Video Retrieval
- MicroProcessor Systems