Dr.S.Niraimathi, M.C.A, M.Phil, Ph.D

Associate Professor & Head

Department: BSc Artificial Intelligence & Machine Language

I’m Dr.S.Niraimathi, Associate Professor & Head, Department of CS with AI &ML.

Believes in J.K. Rowling’s words “We do not need magic to change the world, we carry all the power we need inside ourselves already. We have the power to imagine better”. A diligent professor with 24 years of experience. Possess good communication and interpersonal skills. Focuses on building real world applications in the realm of Artificial Intelligence, Machine Learning, Natural Language Processsing and Deep Learning

Certifications

1.Passed Business English Certificate Vantage in March 2007 conducted by University of Cambridge as a part of ESOL Examinations

2. Passed IBM Certifications (3 Courses) on Artificial Intelligence and Machine Learning

3. Passed NPTEL Certification on Software Conceptual design

4. Passed NPTEL Certification on Software Testing

5. Passed Java Frameworks in June 2001 conducted by SSI

Technical Skills

Operating System:

Windows 10, Unix, Android

Languages:

C, C++, Java, Python

RDBMS:

Oracle, MS SQL Server, MySQL, SQLite

IDE:

MS Visual Studio, IDLE, NETBEANS, ECLIPSE, R Studio, Spyder

Web Tools:

HTML, DHTML, JavaScript, CSS, and XML

Frameworks:

J2EE, MVC, AngularJS, MVW

Web Technologies:

VBScript, JavaScript

Web Servers:

Java Web Server, Node.js, Apache Webserver

Open source tools:

Python, Linux, Node.js, Android, TensorFlow, Anaconda

Area of expertise:

Fuzzy Logic, Object oriented Programming, Artificial intelligence and Neural Networks, Python for Datascience, Machine Learning, Natural Language Processing, Deep Learning

Subjects handled:

C, C++, JAVA, J2EE Frameworks,

C#, Python, Angular JS, Android Programming UNIX, Principles of Compiler Design, System software OOAD&UML, Software Engineering, RDBMS

Visual Basic, Data structures, Graphics, Distributed Computing

Computer Networks, Information Security, Python for Data Science,

Artificial Intelligence, Machine Learning, Natural Language Processing & Deep Learning

Date of Joining : 20.06.2001 (NGM College)

Teaching Experience : 24 Years(In N.G.M College, Pollachi)

Research Activities

M.Phil Guidance

Completed: 7

Ph.D Guidance

Completed: 4

Ongoing: –

No of Paper Publications Internal/National: 37 Papers

Refresher Courses

Attended an inter-disciplinary Two- Week Refresher Course on “Managing Online Classes & Co-creating MOOCS 8.0” from 04/09/2021 to 18/09/2021 conducted by TLC, Ramanujan College, University of Delhi and Ministry of Education
Attended an inter-disciplinary Two- Week Refresher Course on “Computer Science” from 02/05/2022 to 16/05/2022 conducted by TLC, Ramanujan College, Under the Aegis of Ministry of Education

Short Term Training Programmes

Attended a Short term course on Software Conceptual Design organized by NPTEL – an Online Certification Programme from AUG-SEP 2023
Attended a Short Term Training Programme on IOT from 10/04/2020 to 14/04/2020 organised by AICTE, NITTTR, Chandigarh with Ministry of Human Resource Development, Govt. of India.
Attended a Short Term Training Programme on Neural Networks and Convolution Neural Networks from 11/05/2020 to 15/05/2020organised by NITTTR, Chandigarh with Ministry of Human Resource Development, Govt. of India
Attended a one week Short Term Training Programme on Cyber Security organized by CBIT, MGIT in association with Supraja Technologies from 07/07/2020 to 12/07/2020
Online National Workshop on Multivariate Analysis & Graphics (ggplot2) with “R” Software (June 14 – 18, 2021) Organized By Science Tech Institute, Lucknow

Research Work in PhD

1.-

A fuzzy based interface design to counteract the headlight uncertainities exhibited by oncoming Vehicles

Awards

1.-

Dr.S.Niraimathi Acted as a Resource person in an International Webinar on "Scientific Story Telling: Weaving Narratives for Research Impact" held on February 15, 2024, organized by the Department of Biochemistry and Bioinformatics, of MGR Janakiammal College of Arts & Science, Chennai

2.-

Dr.S.Niraimathi Served as a Resource Person for a Techtalk series on a "Sneak peek into Artificial Intelligence and its Use Cases" on 12.12.2022 organized by the Department of Computer Science at KPR College of Arts, Science & Research

3.-

Served as Resource person for a Session on Adaptive Tools – AI tools for Teachers, organized by NGM College, Pollachi from 7.8.2023 to 17.8.2023

4.-

Appointed as a VC’s Nominee by the Bharathiar University for 3 Research scholars of Bishop Appasamy College for series of DC Meets until the scholars complete the Ph.D course

5.-

Appointed as Member of Board of Studies for the Department of Computer Technology, PSG College of Arts & Science, Coimbatore for the Period from 2022 to 2026

6.-

Acted as Resource Person for a Virtual Six Days Student Development Program for the Students of Department of Computer Science ,CBM College, Coimbatore and delivered a Special Talk on "Recent Trends in IT" on 28-1-2023

7.-

Acted as a Resource Person for a Webinar on “Milestones and Promising Domains in Research”, at Bishop Appasamy College of Arts and Science, Coimbatore on 11/10/2021

8.-

Acted as an External Auditor for an Academic Audit at Bishop Appasamy College of Arts and Science, Coimbatore on 24/09/2021

9.-

Acted as a Resource Person for a FDP on “IOT Technology Stack – Behind the Scenes of IOT”, KPR College, Coimbatore from 09/06/2020 to 10/06/2020

10.-

Appointed as the Subject Expert for the Board of Studies by Rathinam College of Arts and Science, Coimbatore

11.-

Appointed as Member of the QP Scrutiny Committee at Nehru Arts and Science College, Coimbatore

12.-

Serving as QP Setter for the Vellalar College for Women, Madurai Thiyagaraja College and the Erode Arts college

13.-

Appointed as a Subject Expert by the KAHE for 2 Research scholars for the series of DC Meets until the completion of the Ph.D course

14.-

Acted as an External Examiner for a Ph.DVivavoce held at Periar University

Participation in Conference

1.-

Presented a Paper on “Deep Learning Approaches to Classify Natural Vegetation Species”, in a Two day National Conference on Deep Learning & Computer interaction for Sustainability organized by the Department of Computer Applications, NGM College, Pollachi on 10th & 11th of January 2024

2.-

Presented a Paper on “Bipolar Disease Prediction using CASWIDE RESNET”, in a Two day National Conference on Deep Learning & Computer interaction for Sustainability organized by the Department of Computer Applications, NGM College, Pollachi on 10th & 11th of January 2024

3.-

Presented a Paper on “Survey On Natural Vegetation Using Data Mining Algorithms And IoT Techniques” at Virtual International Conference On Advances In IoT ,High Performance And Edge Computing, ICT Academy, 14-18 October 2020

4.-

Presented a Paper on “Techniques, Challenges And Applications of IoT In Various Fields”, at AICTE Sponsored Two Days National Level E-Conference On Machine Learning As A Service For Industries. MLSI 2020, CMR Institute Of Technology, Bangalore, 4th&5th September 2020

5.-

Presented a Paper on “Normalized Difference Vegetation Index(NDVI) Using Convolutional Network”, International Conference on “Smart Innovative Technologies on Data Analytics” (ICSITDA’23), at AyyaNadarJanakiAmmal College, Sivakasi on 26th May, 2023

6.-

Presented a Paper on “IoT For Industry 4.0” at Second International Multidisciplinary Conference On Information Science, Management Resources And Social Studies, Alpha Arts And Science College, Chennai, 19 March 2021

7.-

Presented a Paper on “A Data-Driven Method For Bipolar Disorder Diagnosis: Leveraging Machine Learning And Deep Learning”, International Conference on “Smart Innovative Technologies on Data Analytics” (ICSITDA’23), at AyyaNadarJanakiAmmal College, Sivakasi on 26th May, 2023

8.-

Presented a Paper on “Early Bipolar Disorder Prediction Using Hybrid Neural Networks” at International conference On “Innovative Technologies and its Applications”-ICITA 23, Dr.R.V.Arts and Science College, Karamadai,Coimbatore on 21-Mar-23

9.-

Presented a paper on “A Review On Detection And Prediction Of Bipolar Disoder Using Deep Learning”, at an International conference On Contemporary progress in engineering & technology( ICCPET-22) on 25th of June 2022

10.-

Presented a paper on “Preserving Natural Vegetation using Convolutional Neural Networks”,International Conference on Interdisciplinary Research Innovations in Science and Technology”, Nehru Arts and Science College, Coimbatore on 10/05/2022

11.-

Presented a Paper on “ An Intelligent and Optimal Resource Allocation Approach in Sensor Networks for Smart Vegetation-IOT”, International Conference on Current Trends in Multidisciplinary Research, organized by Indian Academicians and Researchers Association on 01/08/2021

12.-

Presented a paper on “IoT For Industry 4.0”, at Second International Multidisciplinary Conference on Information Science, Management Resources and Social Studies held by Alpha Arts and Science College, Chennai on 19 March 2021

13.-

Presented a paper on” Survey on Natural Vegetation using Data Mining Algorithms and IoT Techniques”, Virtual International Conference on Advances in IoT ,High Performance and Edge Computing organized by ICT Academy on 14-18 October 2020

14.-

Presented a Paper on “Techniques, Challenges and Applications of IoT in Various Fields”, at an AICTE sponsored two days National Level E-Conference on Machine Learning as a Service for Industries –MLSI 2020 organized by CMR Institute of Technology, Bangalore on 4th&5th September 2020

15.-

Presented a Paper, “A Preview of Natural Vegetation and Pedo -diversity in India Estimated Using Data Mining Techniques” for theNational Conference on Emerging Technologies-Robotics and IoT at Karpagam Academy of Higher Education, Coimbatore on 28 February 2020

Research Publications

1.-

Dr.S.Niraimathi, “A Novel Fuzzy Rule Based Design Interface to Counteract Headlamp Glare Uncertainties Exhibited by Vehicles”, International Journal of Applied Engineering Research (IJAER), Volume 10, Number 44(2015) Special Issues, pp.31518-31526.

2.-

R.Sharanya, Dr.S.Niraimathi, “Machine Learning Algorithms for Enhanced Bipolar Disease identification based on EEG Signal and its Analytics, ISBN. No. 978-81-973029-8-5, July 2024

3.-

R.Sharanya, Dr.S.Niraimathi, “A Transfer Learning approach for Bipolar Disease Detection”, International Journal of Intelligent System & Applications in Engineering, Vol.12 No. 21S(2024), PP.1622-1635, Scopus Indexed,ISSN.NO.2147-6799

4.-

R.Sharanya, Dr.S.Niraimathi, “Bipolar Disorder Diagnosis With Recurrent Neural Networks Using Probability Density Function”, A Journal for New Zealand Herpetology, Vol 12 Issue 02, WEB OF SCIENCE INDEX, May-2023

5.-

A Book has been published by Dr.S.Niraimathi on Machine Learning Algorithms for enhanced Bipolar disease identification based on EEG Signal and it’s Analytics during the month of July

6.-

R.Sharanya, Dr.S.Niraimathi, “A Novel Approach For Bipolar Disorder Prediction Using Pso-Gkfcm Hybrid Clustering And Weighted Feature Selection”, journal European chemical bulletin special issue publication, VOL 12 Special Issue 4, SCOPUS INDEXED, May 2023

7.-

R.Sharanya, Dr.S.Niraimathi, “Bd-Mdl: Bipolar Disorder Detection Using Machine Learning And Deep Learning”, Journal of Pharmaceutical Negative Result, Vol 13, Issue 7, SCOPUS INDEXED, 21 Dec 2022

8.-

R.Sharanya, Dr.S.Niraimathi,A Review On Detection And Prediction Of Bipolar Disoder Using Deep Learning, Indian journal of Natural Science, Vol.13 ,Issue 75, UCG CAREE INDEXED, Dec 2022

9.-

R.Vidhu, Dr.S.Niraimathi, “A Modern Way to Analyse and Classify Natural Vegetation Species Using Deep Neural Approaches” BioGecko, A journal for New-Zealand Herpetology , Vol.12 Issue No.03 Page No. 911 to 918, May 2023 ISSN No:2230-5807.Edition.

10.-

R.Vidhu, Dr.S.Niraimathi, “A Fully Connected Deep Neural Network Model for Dynamic Natural Vegetation Environment” European Chemical Bulletin, Vol12, Issue-1, 2023, ISSN 2063-5346, doi:10.31838/ecb/2023.12.1.087 Edition

11.-

R.Vidhu, Dr.S.Niraimathi, “Design of Deep Network Model for Vegetation Monitoring and Classification using Learning Approaches”, Journal of Fundamental and Comparative Research, Volume:VIII, No.1(XXII):2022, ISSN:2277-7067

12.-

R.Vidhu, Dr.S.Niraimathi, “Constructing an efficient Classifier Model for Natural Vegetation Using Regional Convolutional Neural Networks”, INTJ Life SciPharma Res, ISSN : 2250-0480:SP-20;”Research Opportunities of Computing in Life Science”,March 2022.

13.-

Mrs.R. Vidhu, Dr.S.Niraimathi, An Intelligent And Optimal Resource Allocation Approach In Sensor Networks For Smart Vegetation-IoT, International Journal of Advance and Innovative Research Volume 8, Issue 3 (IV) July - September 2021 Part - 1 95 ISSN 2394 – 7780

14.-

Mrs.R. Vidhu, Dr.S.Niraimathi, Survey on Natural Vegetation using Data Mining Algorithms and IoT Techniques, Zeichen Journal , Volume 6,Issue 11,November 2020. (UGC Care group II Journal)

15.-

A.LindaSherin, Dr.S.Niraimathi, Missing Data Imputation Using Bayesian Classifier, International Journal of Engineering Research in Computer Science and Engineering – IJERCSE Volume 7, Issue IV, July 2018, ISSN 2321-9939, Impact Factor 4.890.

16.-

A.LindaSherin, Dr.S.Niraimathi, Transmogrified Imputation Algorithm for Clustering Data in Missing Data Imputation, International Journal for Research in Applied Science and Engineering Technology (IJRASET),Volume 7 Issue III, Mar 2019, ISSN: 2321-9653, Impact Factor 6.887.

17.-

A.LindaSherin, Dr.S.Niraimathi, An Efficient Imputation approach on Scanty Data Using Bernoulli scheme based Markov Classifier, IJRASET, and International Journal for Research in Applied Science and Engineering Technology UGC Approved Journal Volume 7, Issue V, May 2019, ISSN 2321-9653, Impact Factor 6.887.

18.-

M.Ramaraj.,Dr.S.Niraimathi., “Comparative Analysis of Proposed Methods for Analyzing Color Pixel based Image Segmentation Using Tiger Image Dataset”. International Journal of Research. ISSN: 2236-6124. Volume 7, Issue IX, September/2018. UGC approved journals.

19.-

M.Ramaraj., Dr.S.Niraimathi., “Enhanced Image Segmentation to Infer the Age of the Tiger Using Fuzzy Modified K-Means Clustering Algorithm (FMKMCA)” International Research Journal of Pharmaceutical, Biological and Chemical Sciences (RJPBCS), Volume 10, Issue 2, 2019, 198-214, ISSN: 0975-8585.

20.-

M.Ramaraj.,Dr.S.Niraimathi., “Color Pixel Based Image Segmentation Using Enhanced Data Clustering Algorithms Applying On Tiger Image Dataset” International Journal Of Advance And Innovative Research. ISSN: 2394-7780.Volume 5, Issue 3 (VII): July - September, 2018. UGC approved journals.

Workshop FDP

1.-

Attended a Industry-Driven Workshop on Accelerating Edge AI:From Concept to Deployment with Jetson Nano, held from December 3rd to 5th, 2024 at the Deep Learning Lab at KCET, Coimbatore.

2.-

Attended a Seven days FDP on Quality Education for Nation Building organized by SIIMS, Pollachi on 31.7.2023 to 8.8.2023

3.-

Attended the Five Days Online FDP on ‘Emerging Trends in Data Analytics and Machine Learning’ from 18th Sep 2023 to 22nd Sep 2023 at Karunya university Coimbatore

4.-

Attended a One Day National Level Virtual Conference on Artificial Intelligence in Science, Technology and Commerce on 18/08/2023 organized by IOT Academy

5.-

Attended a one week FDP on Creating Multimedia content for Blended and Hybrid Learning Model conducted by IQAC of Singhad College of Engineering, Phandharpur, Maharastra in association with Nuclues of Learning and Development fron 25th to 30th of November

6.-

Attended a one week FDP on Unleashing the Power of AI Tools for Teachers organized by Santan Dharma College, Ambala cantt in associationation with Nuclues of Learning and Development from 30 September to 5th of October 2024

7.-

Attended a 2 day National Level Workshop on “Implementation of Outcome based Education: Opportunities and Challenges – Learning Outcome based Curriculum Framework” organized by the IQAC,NGM College, Pollachi on 20.03.2023 &21.03.2023

8.-

Attended five Days Faculty Development Programme on “Impact of Artificial Intelligence” held from 07.11.2022 to 11.11.2022 organized by Department of Computer Science in association with NovieTech R & D Pvt Ltd., Coimbatore.

9.-

Attended a Professional Training Programme on " Annuity Products of LIC " organized by Department of Commerce - Banking and Insurance, Nallamuthu Gounder Mahalingam College , Pollachi on 15th November 2022 .

10.-

Attended a 2 day National Level Seminar on “Blended mode of Learning for Teachers Community” organized by the department of Commerce with BPS funded by ICSSR on 30.01.2023 & 31.012023

11.-

Two days National Level Workshop sponsored by CSIR on Artificial Intelligence & Machine Learning on 23&24 January 2020 at Jansons Institute Of Technology, Coimbatore.

12.-

Attended a National level workshop on “Big Data Analytics” held on 9th and 10th of March 2017, jointly organized by the Department Of Computer Technology and Information Technology, NGM College, Pollachi.

13.-

Attended a National Level Workshop on “Software Testing and Quality Assurance” on 23rd January, 2010, organized by KG College of Arts and Science and KG Information Systems Pvt. Ltd., Coimbatore

14.-

Attended a Workshop on “PHP and MySQL” held on 30th and 31st of January 2012, organized by the Department Of Computer Technology, NGM College, Pollachi.

15.-

Attended a National Level Workshop on “SPSS: Advanced Tools for Data Analysis” held on 29th and 30th September 2011, hosted by Nehru Arts and Science College, Coimbatore.

16.-

Attended a National Level Workshop on “Recent Trends in Topology” held on 28thJanuary 2011, organized by Department of Mathematics, Coimbatore Institute of Technology,Coimbatore.

17.-

Participated in a two days skill based training program on “J2EE and Best Practices in Application Development”, organized by ICT Academy of Tamil Nadu in association with Cognizant Technology Solutions and Tata Consultancy Services held on 16th and 17th of September 2009 at Bharathiar University, Coimbatore.

18.-

Attended a Workshop on “MATLAB - A Tool for Research” on 5th of September 2009, organized by School of Information Technology and Science, Dr. G. R. Damodaran College of Science, Coimbatore.

19.-

Participated in a Workshop on “Open Source Tools and Data Mining Research” held on 8th of August 2009, organized by Department of Computer Science, Dr. N.G.P Arts and Science College, Coimbatore.

20.-

Attended a National Seminar on “Network and Information Security” held on 8th ofJanuary 2007 organized by G.R.Govindarajulu School of Applied Computer Technology, PSGR Krishnammal College for Women, Coimbatore.

21.-

Attended a Seminar on “Course Redesign Through Blended Learning”, held on 20th February 2008, hosted by Department of Computer Science and Engineering and Information Technology, Dr. Mahalingam College of Engineering and Technology, Pollachi in Collaboration with the University of Manitoba, Winnipeg, Canada.

22.-

Attended a International FDP on Develop the ability to write Research organized by AIMIT Bangalore on 24/04/2020

23.-

Attended Online Six days International FDP on Enhance your IT skills during quarantine organized by BISHOP APPASAMY COLLEGE Coimbatore held from 18th May 2020 to 23rd May 2020.

24.-

Attended a 7 Days International Level FDP on Strategis Roadmap Towards Industry 4.0 organized by Computer science (SF) ,NGM College Pollachi from June 1-7 , 2020.

25.-

Seven days international FDP on Artificial intelligence and machine learning organized by school of computer science PPG college coimbatorejune 28 to july 5,2021

26.-

Attended more than 65 Online FDP’s/Webinars during the COVID Period

Books / Monograph

1.-

Title: ADVANCES IN MULTIDISCIPLINARY & CURRENT Published by: RK Publishers Publishing Month and Year: September 2023 Edition Details: I ISBN: 978-93-5813-019-5 Copyright © 2023 by RK Publishers / A DEEP NEURAL NETWORK TO CLASSIFY THE SPECIES OF NATURAL VEGETATION BASED ON VEGETATION INDEX R. Vidhu, Dr. S. Niraimathi

2.-

Book Name : Machine Learning Algorithm For Enhanced Bipolar Disease Identification Based on EEG Signal And Its Analytics ISBN NO: 978-81-973029-8-5 CHENDUR PUBLISHING HOUSE

Research Guidance

1.-

Prediction of Bipolar Disorder using Convolutional Neural Network(CNN), Recurrent Neural Network(RNN), Residual Neural Network(RESNET) and Transfer Learning , Bharathiyar University - R.Saranya-2025

2.-

AN INTELLIGENT PRECISIVE APPROACH AUGMENTED WITH DYNAMISM TO PREDICT, MONITOR AND CLASSIFY THE SPECIES OF NATURAL VEGETATION BASED ON VEGETATION INDEX USING REGIONAL CONVOLUTIONAL NEURAL NETWORK (R-CNN), LAYERED CONVOLUTIONAL NEURAL NETWORK (L-CNN) AND DEEP NEURAL NETWORKS (DNN) , Bharathiyar University- R.Vidhu - 2024

3.-

Enhanced Color Pixel based Image Segmentation to Infer the Age of the Tiger using Fuzzy Modified K-Means Clustering Adorned with Fuzzy Clustering Techniques Bharathiar University,Dr.M.Ramaraj - 2020

4.-

CAMS Algorithm for Missing Data Imputation based on Cognitive Computation Bharathiar University,A.Linda Sherin - 2020