Back close

D. J. Jeyalakshmi

Assistant Professor(SG), Department of Computer Science and Engineering, School of Computing, Chennai. 

Qualification: B-Tech, M.Tech, Ph.D
j_jeyalakshmi@ch.amrita.edu
Research Interest: Data Mining, Machine Learning, Deep Learning, Social Media Analytics, Healthcare Analytics, Sentiment Analysis, Quantum Computing, CUDA/GPU Computing, Data Science, Big Data Analytics, Bio Informatics, Generative Chatbots.

Bio

Dr J Jeyalakshmi currently serves as the Assistant Professor(SG), in the Department of Computer Science and Engineering, Amrita School of Computing, Amrita Vishwa Vidyapeetham, Chennai.

Publications

Journal Article

Year : 2023

Metadata Analysis to Get Insight into Drug Resistant Ovarian Cancer

Cite this Research Publication : Sujata Roy, Jeyalakshmi Jeyabalan, Saikat Gochhait, Poonkuzhali Sugumaran, M. Michael Gromiha, “Metadata Analysis to Get Insight into Drug Resistant Ovarian Cancer”, (IIETA ISI)Ingénierie des Systèmes d’Information, Vol.28, No.2, April 2023, pp. 309 – 314, 2023(SCOPUS)

Publisher : IIETA

Year : 2023

A Deep Transfer Learning Approach For Iot/Iiot Cyber Attack Detection Using Telemetry Data

Cite this Research Publication : S.Poonkuzhali , M.Shobana, J.Jeyalakshmi, ”A Deep Transfer Learning Approach For Iot/Iiot Cyber Attack Detection Using Telemetry Data”,Neural Network World, vol.4,pp. 225-244, 2023, Impact Factor-1.48, SCI INDEXED , ANNA UNIVERSITY ANNEXURE – I , Q4

Year : 2021

Prescriptive Analytics of Constraint Optimisation of Diabetes Diet Exhortation by using Information Systems

Cite this Research Publication : S.Poonkuzhali, J.Jeyalakshmi, “Prescriptive Analytics of Constraint Optimisation of Diabetes Diet Exhortation by using Information Systems”, published in vol. 22,no. 6, pp- 2672–2681 Journal of Environmental Protection and Ecology, 2021(SCI INDEXED , ANNA UNIVERSITY ANNEXURE – I , Impact Factor-0.657) – Q4

Publisher : SCIBULCOM LTD

Year : 2019

Study of Diabetes Mellitus Patients for Thyroid Related Co-Morbidities Using Data Analytics

Cite this Research Publication : S.Poonkuzhali, J.Jeyalakshmi,“Study of Diabetes Mellitus Patients for Thyroid related co-morbidities using Data Analytics”, Basic & Clinical Pharmacology & Toxicology, Wiley Publication, Vol. 124, No. S3, pp.19,2019 (SCI INDEXED , ANNA UNIVERSITY ANNEXURE – I , Impact Factor-2.651) doi: 10.1111/bcpt.13217 - Q2

Publisher : WILEY

Year : 2018

Streaming Classification Hoeffding Tree of Diabetes Mellitus using Boosting

Cite this Research Publication : Jeyalakshmi J, Poonkuzhali S, Sree Subha S and Mohana E, ”Streaming Classification Hoeffding Tree of Diabetes Mellitus using Boosting “, International Journal of Pure and Applied Mathematics, Feb-2018, Vol.118, No.18, pp: 1857-1865. ( IF : 0.635) (SCOPUS) ISSN: 1311-8080 (printed version); ISSN: 1314-3395 (on-line version)

Publisher : IJPAM

Year : 2016

Big data in visual analytics to supplement digital image processing using Hadoop

Cite this Research Publication : G.S. Ganesh, Yazhini Samyukkktha Ramanikaran, M.Sindhuja, G. Rajesh Kannan, J. Jeyalakshmi, “Big data in visual analytics to supplement digital image processing using Hadoop”, Journal of Chemical and Pharmaceutical Sciences,JCHPS., Special Issue 9,pp.54-56,Dec,2016.(SCOPUS) ISSN: 0974-2115

Year : 2016

Intelligent Data Analytics System to Predict Diabetes using Artificial Neural Network

Cite this Research Publication : Poonkuzhali S, Deepika N, Sindhuja M, Jeyalakshmi J and Sreeshuba S, “ Intelligent Data Analytics System to Predict Diabetes using Artificial Neural Network” International Conference on Engineering Digital Green Era”, March 2016 published in Journal of Chemical and Pharmaceutical Sciences - S. Poonkuzhali, N. Deepika, J. Jeyalakshmi, S. Sreeshuba, “Intelligent Data Analytics System to Predict Diabetes using Artificial Neural Network”, Journal of Chemical and Pharmaceutical Sciences, JCHPS, Special Issue 9,pp-32- 36,Dec 2016 (SCOPUS) ISSN: 0974-2115

Year : 2015

Efficient Clinical Data Analysis Using Internet of Things

Cite this Research Publication : K.Poornimathi,J.Jeyalakshmi,S.Sreesubha,M.Sindhuja,J.Anitha,”Efficient Clinical Data Analysis Using Internet of Things”, International journal of Advanced Technology in Engineering and Science., vol.3,no.1, pp.362-368, Nov,2015.

Year : 2015

Effective prevention of reverse engineering attacks on software

Cite this Research Publication : J.Jeyalakshmi,L.Priya,S.Sreesubha,” Effective prevention of reverse engineering attacks on software”, ARPN Journal of Engineering and Applied Sciences., vol.10,no.17, pp.7412- 7415, Sep,2015.(SCOPUS)

Year : 2015

Sentiment Analysis for improving healthcare system for Women

Cite this Research Publication : J.Jeyalakshmi,K.Poornimathi,S.Sreesubha,M.Sindhuja,J.Anitha, “Sentiment Analysis for improving healthcare system for Women”, IOSR journal of Computer Engineering (IOSR-JCE), vol.17,no.6,pp.01-09,Nov,2015. e-ISSN: 2278-0661,p-ISSN: 2278-8727

Publisher : IOSR Journals

Year : 2013

A Hybrid Model for VANET Information Dissemination

Cite this Research Publication : J.Jeyalakshmi, S.Sreesubha,”A Hybrid Model for VANET Information Dissemination,International Journal of Computer Application.,vol. 80,no.17,pp.31-36, 2013.doi: 10.5120/13970-1876

Publisher : Foundation of Computer Science

Conference Paper

Year : 2023

Best Fit Topic Model Coherence Improvement for Subectivity Analysis of Gestational Diabetes Mellitus

Cite this Research Publication : J.Jeyalakshmi, S.Poonkuzhali, “Best Fit Topic Model Coherence Improvement for Subectivity Analysis of Gestational Diabetes Mellitus”, Next-Gen Technologies in Computational Intelligence [NGTCI-2023] at Vels University on 3rd May, 2023,Chennai accepted to be published in Taylor and Francis (Scopus Journal).

Year : 2023

Speech Recognition Using Quantum Convolutional Neural Network

Cite this Research Publication : Thejha B., Yogeswari S., Vishalli A, Jeyalakshmi J., “Speech Recognition Using Quantum Convolutional Neural Network” , Proceedings of 8th IEEE International Conference on Science, Technology, Engineering and Mathematics, ICONSTEM 2023(SCOPUS)

Publisher : IEEE

Year : 2022

Metadata Analysis to Get Insight into Drug Resistant Ovarian Cancer

Cite this Research Publication : Sujata Roy, J. Jeyalakshmi, S. Poonkuzhali, M. Michael Gromiha, “Metadata Analysis to Get Insight into Drug Resistant Ovarian Cancer”, 2022 International Conference on Bio-Neuro Informatics and Algorithms (iCBNA 2022), Pune, India 21 – 22 June 2022 , IEEE , pp- 467-471(SCOPUS)

Publisher : IIETA

Year : 2016

Efficacy Detection of Type-II Diabetes Mellitus with Support Vector Machine and Artificial Neural Network

Cite this Research Publication : S.Sreesubha, S.Poonkuzhali, J.Jeyalakshmi, J.Anitha, Mithun Mohan, “Efficacy Detection of Type-II Diabetes Mellitus with Support Vector Machine and Artificial Neural Network”, presented at International Conferences on Advanced Theoretical Computer Applications (ICATCA’16) & Contemporary Management Practices (ICCMP’16), Kaulalumpur, Malaysia, May.5-6, 2016.

Year : 2016

Diabetes Mellitus Risk Factor Prediction through Feature Relevance Analysis and Hybrid Classifier

Cite this Research Publication : S.Poonkuzhali , M.Sindhuja, J.Jeyalakshmi, S.Sreesubha, “Diabetes Mellitus Risk Factor Prediction through Feature Relevance Analysis and Hybrid Classifier”, presented at International Conferences on Innovative Engineering and Technologies (ICIET’16) & Civil and Structural Engineering (ICCSE’16) , Kaula Lumpur, Malaysia, May.5-6, 2016.

Year : 2016

Data Analytics for Predicting Trends in e-commerce for Garment Industry

Cite this Research Publication : S.Vinodh Kumar, S.Poonkuzhali, J.Jeyalakshmi, G.Rajesh Kannan, “Data Analytics for Predicting Trends in e-commerce for Garment Industry”, presented at Third International Conference on Advanced Theoretical Computer Applications, CAASR, Dubai, Jan,2016

Year : 2016

Real Time Data Analytics of Breast Cancer using Sentiment Analysis

Cite this Research Publication : Anu Bharathi, S.Poonkuzhali, J.Jeyalakshmi,” Real Time Data Analytics of Breast Cancer using Sentiment Analysis”, presented at Third International Conference on Innovative Engineering and Technologies, CAASR, Dubai, Jan,2016.

Year : 2016

Effective Intervention For Gestational Diabetes Mellitus Based On Sentiment Analysis

Cite this Research Publication : J.Jeyalakshmi, S.Poonkuzhali, S.Sreesubha, R.Deepa ,S.Poonkuzhali, “Effective Intervention For Gestational Diabetes Mellitus Based On Sentiment Analysis”, presented at International Conferences on Innovative Engineering and Technologies (ICIET’16) & Civil and Structural Engineering (ICCSE’16) , Kaula Lumpur, Malaysia, May.5-6, 2016. (BEST PAPER AWARD)

Publisher : Best paper award

Year : 2014

A hybrid model for sparsely populated VANETs

Cite this Research Publication : Jeyalakshmi Jeyabalan ; Sree Subha Soundarajan ; Poornimathi Krishnan, “A hybrid model for sparsely populated VANETs”, Proceedings of IEEE International Conference on Computer Communication and Systems ICCCS14, pp-30-32, 2014 doi: 10.1109/ICCCS.2014.7068162

Publisher : IEEE

Book Chapter

Year : 2023

Sentiment Classification of Higher Education Reviews to Analyze Students’ Engagement and Psychology Interventions using Deep Learning Techniques

Cite this Research Publication : KR Sowmya, Poonkuzhali Sugumaran, J Jeyalakshmi, “Sentiment Classification of Higher Education Reviews to Analyze Students' Engagement and Psychology Interventions using Deep Learning Techniques” , Smart Trends in Computing and Communication - ICTCS SmartCom 2023, Published in Springer LNNS Series, vol.396, pp

Publisher : Springer LNNS Series

Year : 2018

Diabetes Mellitus Risk Factor Prediction Through Resampling and Cost Analysis on Classifiers

Cite this Research Publication : J.Jeyalakshmi, S.Poonkuzhali and S.SreeSubha, “Diabetes Mellitus Risk Factor Prediction through Resampling and Cost Analysis on Classifiers”, International Conference on Social Transformation - Digital Way , at Kolkata, India, 19-21 January 2018 published in Springer CCIS Series, pp-212-225,2018. https://doi.org/10.1007/978-981-13-1343-1_21 , Print ISBN

Publisher : Springer CCIS Series

Year : 2011

Web Service Based Sheltered Medi Helper

Cite this Research Publication : Loganathan P., Jeyabalan J., Sarangapani U. (2011) ,”Web Service Based Sheltered Medi Helper.”, Advances in Networks and Communications. CCSIT 2011. Communications in Computer and Information Science, vol 132. Springer, Berlin, Heidelberg,pp-20-32,2011 Print ISBN

Publisher : Springer, Berlin

Education
Degree   Specialization Year of Graduation Institution
B.Tech Information Technology 2005 Kamaraj College of Engg and Tech, Affiliated to Anna Univ, Virudhunagar
M.Tech Information Technology 2009 Sathyabama University
Ph.D Information and Communication Engineering 2023 Anna University

Professional Appointments: 17 years of teaching experience and in reputed Engineering Colleges/University.

Certification Courses Completed
Name of the Course Organization
Deep Learning Specialization Certificate Coursera
Feature Engineering, Data Science Foundations, Introduction to R, Exploratory Data Analysis Great Learning Certification in Data Science
Programming Fundamentals using Python – Part 1, Programming Fundamentals using Python – Part 2, Introduction to Python Infosys Springboard
Red Hat Enterprise Linux 5 , Red Hat Certified Technician Red Hat Enterprise Linux 5 Red Hat Certified System Administrator
Programming Data Structures and Algorithms using Python NPTEL
Experience
Organization Designation Years 
Amrita School of Engineering, Chennai Campus Assistant Professor(SG) 4 Months
Rajalakshmi Engineering College, Affiliated to Anna University, Chennai Assistant Professor(SG) 17 Years
Workshop/Seminar Attended
S.No  Type of Programme  (Workshop/ FDP/ Seminar) Title of the Programme Duration  Date
1 Workshop Digital Teaching Techniques by ICT Academy 1 week 27 December 2021 to 31 December 2021
2 Workshop Artificial Intelligence in Diabetes and Heart Diseases: A Technology Driven Progress in Healthcare 2 days 22 – 23, September 2021
Guest Lectures Delivered
S.No Topic(s) Institution Date(s)
1 Big data Analytics Rajalakshmi Engineering College 2016
2. Big data Analytics Tools and Techniques Rajalakshmi Engineering College 2016
3 Hadoop Pig and Hive Rajalakshmi Engineering College 2017
4 Data Science and Big Data Analytics Rajalakshmi Engineering College 2018
5 Invited Talk on “Case Studies in Application of Data Analytics in Healthcare” at DST Sponsored Two Weeks Training Programme on Big Data Analytics Rajalakshmi Engineering College 2016
6 Introduction to R Programming Shankarlal Sundarbai Shasun Jain College for Women 2016
7 Prediction Methods – Using R Programming Rajalakshmi Institute of Technology 2017
8 Sentiment Analysis and Topic Modeling on COVID Travel History based Text Rajalakshmi Engineering College 2021
9 Delivered content for Faculty UpSkilling in Machine Learning Level 1 : Pre-Processing, Sentiment Analysis, Reinforcement Learning, Time Series Forecasting Rajalakshmi Engineering College 2021
10 Delivered content for Faculty UpSkilling in Machine Learning Level 2: CNN,RNN, Auto Encoders, GAN Rajalakshmi Engineering College 2022
11 Internship on Machine Learning: Numpy, Feature Engineering, Data Wrangling Rajalakshmi Engineering College 2023
12 Worldline Training : Docker Containers and Kubernetes Rajalakshmi Engineering College 2023
Courses Taught
  • Program Reasoning
  • Object Oriented Paradigm
  • Data Analytics.
  • Foundations of Machine Learning.
  • Operating System.
  • Embedded System.
  • Component Based Technology.
  • Object Oriented Software Engineering.
  • Network programming.
  • Formal methods.
  • Software Metrics.
  • Software Testing.
  • Software Architecture.
  • Service Oriented Architecture.
  • Data Structures and Algorithms.
  • Python Programming.
  • Fundamentals of C programming.
  • Data Mining.
  • Computer Architecture.
Admissions Apply Now