Faculty Profile

Ms. Lakshmi S
Assistant Professor (Senior Grade)


Ms. Lakshmi S completed her Bachelor’s degree in Computer Science & Engineering from Anna University, Chennai, and her Master’s 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.

Educational Qualification

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

Awards and honours

Completed NPTEL Online certification course on Data Mining with a consolidated score of 90% (Top 2%)


Administrative & Institutional Support

  • Thyra – CSE Student’s Association Staff Coordinator since 2017
  • Member of PAC
  • NBA Criteria 7 member
  • NAAC Criteria 2 member
  •  Anti – Ragging Cell Member

Research & Publications

Sl.No Name of journal/Conference Details of paper National/International
1 National Conference on Artificial Intelligence & cognitive computing Prediction of Student’s Performance on Feedback using ML algorithms National
14-15 July 2022
2 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

FDPs/Trainings attended

Name of the Programme Institution Duration
Data Mining NPTEL  Jan-Mar 2023
FDP on MLOps Chandigarh University February 2- 6, 2023
Online Certificate Course for Deep Learning for beginners TKM College of Engineering Aug 26-28, 2022
Inculcating Universal Human Values in Technical Education AICTE Dec 6 – 10,2021
Python for ML Sree Buddha College of Engineering Oct 18 – 22,2021
Online FDP on Practical Data Science St Joseph Pala July 19-23,2021
International Webinar on “Emerging Trends in the Field of Science and Humanities” FISAT October 16 – 17, 2020
Webinar on NextGen Computing Paradigmn PSG College, Coimbatore May 7 – 8, 2020
Faculty Development Programme on Online Learning Management System St.Joseph Pala August 10 – 15, 2020
TEQIP Faculty Development Programme on Deep Laerning with TensorFlow SOE, CUSAT July 22 – 24, 2020
Faculty Development Programme on Research Methodology : Tools and Techniques (Online) IILM college May 18- 22, 2020
Faculty Development Programme on Recent Industry Practices in Project Management and Testing Adi Shankara Kalady May 27-31, 2019

Projects Guided

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

Courses offered

  • 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 Programming 
  • Content based Image and Video Retrieval
  • MicroProcessor Systems


North Block Room no: NB 323

mail: lakshmicse@fisat.ac.in

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