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Dr. Keerthika T. 

Assistant Professor (Sl. Gd.), School of Artificial Intelligence, Coimbatore

Qualification: BE, M.E, Ph.D
t_keerthika@cb.amrita.edu
Google Scholar Profile
Research Interest: Artificial Intelligence for Healthcare Data Analytics, Machine learning using Support Vector Machines, Deep Learning algorithms, Application of ML/DL in Biomedical Research Area, Clinical diagnosis support system.

Bio

Dr. T. Keerthika is an  Assistant Professor (Sl. Gd.) at the School of Artificial Intelligence (AI), Amrita Vishwa Vidyapeetham, Coimbatore. She received B.E degree in CSE from Pavendar Bharathidasan College of Engineering and Technology affiliated to Anna University, Trichy, Tamil Nadu in 2006. M.E degree in NIE (Network and Internet Engineering) from Karunya University, Coimbatore, Tamil Nadu in 2009. She received Ph.D. degree in ICE (Information and Communication Engineering) from Anna University, Tamil Nadu, India in 2020. Her research interests include Machine Learning, Deep Learning, Artificial Intelligence, Soft Computing Techniques, Cybersecurity. She has authored numerous research articles that have been published in prestigious national and international journals, books, book chapters and presented at renowned conferences.

Publications

Journal Article

Year : 2025

AI POWERED Cryptography for Secure Machine-to-Machine (M2M) Communication in IoT Networks

Cite this Research Publication : C Balarama Krishna, Saai Krishnan Udayakumar, Sri Bhargav Krishna Adusumilli, Chinnem Rama Mohan, T. Keerthika, Pankaj Mudholkar, AI POWERED Cryptography for Secure Machine-to-Machine (M2M) Communication in IoT Networks, [source], IEEE, 2025, https://doi.org/10.1109/ICPCT64145.2025.10941066

Publisher : IEEE

Year : 2024

Virtual Reality and Augmented Reality: Future Trendas in Technology and Education

Cite this Research Publication : T.Keerthika, Virtual Reality and Augmented Reality: Future Trendas in Technology and Education, Volume 7, No.1, ACTA SCIENTIAE (Q2) journal, June 2024.

Year : 2024

Crop and Suitable Intercrop Suggestion Based on Soil Series Using Machine Learning Algorithms

Cite this Research Publication : Keerthika, Pradeep Balaji, Krupaasree, Kiruthika, Crop and suitable intercrop suggestion based on soil series using machine learning algorithms, AIP Conference Proceedings, AIP Publishing, 2024, https://doi.org/10.1063/5.0187680

Publisher : AIP Publishing

Year : 2024

Internet of Things and Optimized Knn Based Intelligent Transportation System for Traffic Flow Prediction in Smart Cities

Cite this Research Publication : Sunkara Teena Mrudula, Meenakshi, Mahyudin Ritonga, S. Sivakumar, Malik Jawarneh, Sammy F, T. Keerthika, Kantilal Pitambar Rane, Bhaskar Roy, Internet of things and optimized knn based intelligent transportation system for traffic flow prediction in smart cities, Measurement: Sensors, Elsevier BV, 2024, https://doi.org/10.1016/j.measen.2024.101297

Publisher : Elsevier BV

Year : 2023

Application of Machine Learning and Big Data in Improving Supply Chain Financial Risk Management System

Cite this Research Publication : T.Keerthika, Application of Machine Learning and Big Data in Improving Supply Chain Financial Risk Management System, A Journal for New Zealand Herpetology, Feb 2023.

Year : 2023

Cancer Prediction using Adaptive Boosting Tech Web App

Cite this Research Publication : T Keerthika, S R Kanimozhi, V Oviya Svapna, V Kaviya, L Preethi, Cancer Prediction using Adaptive Boosting Tech Web App, 2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS), IEEE, 2023, https://doi.org/10.1109/icscss57650.2023.10169748

Publisher : IEEE

Year : 2022

A Color Based Approach to Detect Melanoma Using SVM Classifier

Cite this Research Publication : T. Keerthika, Mohamed Ali Raihan M, Krupaasree K, Kiruthika E, Pradeep Balaji L R, Naveen S, A Color Based Approach to Detect Melanoma Using SVM Classifier, 2022 International Conference on Advanced Computing Technologies and Applications (ICACTA), IEEE, 2022, https://doi.org/10.1109/icacta54488.2022.9752921

Publisher : IEEE

Year : 2022

Implementation of Robotics for Child Rescue from Bore Hole using Internet of Things

Cite this Research Publication : T. Keerthika, M Dhaarini, Dafny Azeliya Felix Arokiadoss, J Danica, S Iswarya, Implementation of Robotics for Child Rescue from Bore Hole using Internet of Things, 2022 7th International Conference on Communication and Electronics Systems (ICCES), IEEE, 2022, https://doi.org/10.1109/icces54183.2022.9835918

Publisher : IEEE

Year : 2021

Iot-Enabled Wireless Sensor Networks For Controlled And Safe Routing

Cite this Research Publication : T.Keerthika, IoT-Enabled Wireless Sensor Networks for Controlled and Safe Routing, International Journal of Aquatic Science, June 2021.

Year : 2021

Empirical View Of Financial Management Survey In Block Chain Technology Issues, Risk And Mitigation

Cite this Research Publication : T.Keerthika, Empirical view of financial management survey in block chain technology issues, risk and mitigation, International Journal of Aquatic Science, March 2021.

Year : 2020

Conflagration Recognition using Convolution Neural Networks with Warning System

Cite this Research Publication : T. Keerthika,Adarsh S, Balasubramaniyam M, Bharath S,Conflagration Recognition usingConvolution Neural Networks withWarning System,International Journal of Emerging Technology and Innovative Engineering,Volume 6, Issue 03, March 2020.

Year : 2020

Feature Extraction from Satellite Images Using Deep Learning

Cite this Research Publication : T. Keerthika, Ashwini A, Amirtavarsni R, Angela princy A, Dinesh kumar S,Feature Extraction from Satellite Images Using Deep Learning,International Journal of Emerging Technology and Innovative Engineering,Volume 6, Issue 03, March 2020.

Year : 2019

A Hybrid Fish – Bee Optimization Algorithm for Heart Disease Prediction using Multiple Kernel SVM Classifier

Cite this Research Publication : A Hybrid Fish – Bee Optimization Algorithm for Heart Disease Prediction using Multiple Kernel SVM Classifier, International Journal of Innovative Technology and Exploring Engineering, Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP, 2019, https://doi.org/10.35940/ijitee.i1152.0789s219

Publisher : Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP

Year : 2019

An effective feature selection for heart disease prediction with aid of hybrid kernel SVM

Cite this Research Publication : T. Keerthika, K. Premalatha, An effective feature selection for heart disease prediction with aid of hybrid kernel SVM, International Journal of Business Intelligence and Data Mining, Inderscience Publishers, 2019, https://doi.org/10.1504/IJBIDM.2019.101977

Publisher : Inderscience Publishers

Year : 2015

Utilization of Rough Set Reduct Algorithm and Evolutionary Techniques for Medical Domain using Feature Selection

Cite this Research Publication : T.Keerthika, Dr. K. Premalatha. “Utilization of Rough Set Reduct Algorithm and Evolutionary Techniques for Medical Domain using Feature Selection.” International Conference on Information Engineering, Management and Security (2015)

Book Chapter

Year : 2025

Applications, Enabling Technologies, Vision of Edge Artificial Intelligence for 6G

Cite this Research Publication : T.Keerthika, published a book chapter titled ”Applications, Enabling Technologies, Vision of Edge Artificial Intelligence for 6G”, Apple Academic Press publisher, June 2024.in AI for Cloud, Edge, and Mobile Computing Applications, Pages: 213-237, May 2025.

Book

Year : 2024

Unbreakable: The Foundations of Impregnable Cybersecurity

Cite this Research Publication :

Publisher : LAP Lambert Academic Publishing

Qualification
  • PhD 
    Year : 2014-2020
    Specialization :PhD in Information and Communication Engineering
    Thesis Title : Feature selection using heuristic approaches for heart disease classification.
  • M.Sc
    Year : 2007-2009
    Specialization :
    Thesis title :ZMAC: A Hybrid MAC for Wireless Sensor Networks.
Patents
  • Dr. Keerthika T, “MACHINE LEARNING BASED CLOUD DATA ANALYSIS DEVICE”, (Indian Design Patent Grant published on 12/07/2024, Design number-423093-001).
  • Dr. Keerthika T, “SMART CYCLE RENTAL AND LENDING SYSTEM WITH GPS LIVE TRACKINGUSING AI/ML”, (Indian patent published on 05/07/2024, Application number-202441048233 A).
  • Dr. Keerthika T, “ARTIFICIAL INTELLIGENCE-BASED HUMANOID ROBOT FOR SURVEILLANCE AND SECURITY”, (UK Design patent published on 03/08/2023, Application number-6298505).
  • Dr. Keerthika T, “READING AND SPEAKING ASSESSMENT TOOL”, (Indian patent published on 07/04/2023, Application number-202341022748 A).
  • Dr. Keerthika T, “AUGMENTED REALITY CLASSROOM PROGRAMME”, (Indian patent published on 09/10/2022, Application number-202241069823 A).
  • Dr. Keerthika T, “A SYSTEM AND METHOD BASED ON NEURAL NETWORK AND HIDDEN MARKOV MODELLING FOR PREDICTING DRUG PROPERTY”, (Indian patent published on 16/07/2021, Application number-202141030994 A).
  • Dr. Keerthika T, “A SYSTEM BASED ON NEURAL NETWORK TO REFINE THE HEURISTIC DATA WITH IMAGE PROCESSING TECHNIQUES”, (Indian patent published on 07/05/2021, Application number-202141019150 A).
  • Dr.Keerthika T, “DETECTION OF CRITICAL SAFETY EVENTS IN MANUFACTURING INDUSTRIES USING DATA MINING”, (Indian patent published on 05/02/2021, Application number 202041055890).

 

Positions 

Current Positions 

  • School of Artificial Intelligence, Amrita Vishwa Vidyapeetham, Ettimadai, Coimbatore.

Past Positions

  • Working as Associate Professor, Department of Information Technology, Sri Krishna College of Engineering and Technology, Coimbatore from (September 2022 to 30.05.2025).
  • Working as Assistant Professor, Department of Information Technology, Sri Krishna College of Engineering and Technology, Coimbatore from (June 2011 to August 2022).
  • Worked as Lecturer, Department of Computer Science and Engineering, Sri Ramakrishna Institute of Technology, Coimbatore from (Dec 2010 to May 2011).
  • Worked as Lecturer, Department of computer science and Engineering, Kalasalingam University, Krishnankoil from (June 2009 to December 2010).
  • Worked as a Programmer, Department of Computer Science, Bharathidasan University, Trichy from (June 2006 to June 2007).
Teaching

Courses taught (Name, Year, UG/PG)

  • Web Frameworks
  • Front End Development
  • Internet Programming
  • Software Engineering
  • Application Development Practices
  • Machine Learning
  • Artificial Intelligence
  • C & Object Oriented Programming
  • Python Programming
  • Data Structures
  • Data Structures and OOPS
  • Software Engineering
  • Operating Systems
  • Data warehousing and Mining
  • Computer Networks

Conferences/Workshops/Webinars organized (Chairman/Convener/Others)  :

  • Presented a Paper titled “A Comprehensive Food Supply chain solution with machine learning and blockchain technology”,in the third international conference on “Artificial Intelligence and Smart Computing” held at Bannari Amman Institute of Technology, March 2023.
  • Participated in “Training session on Realtime analysis of Brain Computer Interface Applications “ organized by Karunya University supported nby DST- ICPS on 29th September 2021.
  • Presented Paper titled “A Novel Approach of Identifying COVID-19 from Chest CT images: A Deep Neural Network using SVM Classification” 4th International Conference on Big Data and Cloud Computing at Karunya University (20th – 21st August 2021).
  • Attended 6 days FDP on “Research and Application Perspectives of Artificial Intelligence” at KPR Institute of Engineering and Technology, Coimbatore(16th – 21st June 2021).
  • Participated in the 6 days AICTE sponsored short term training programme on “Internet of Things based Automation using Machine Learning” at Hindustan College of Engineering and Technology, Coimbatore(19th – 24th April 2021).
  • Participated in the webinar series of Innovation to startup session titled IPR and patent filling conducted by IIC, Kumaraguru College of Technology (4th August 2020).
  • Attended 5 days AICTE Training And Learning (ATAL) Academy Online FDP on “Internet of Things” at NIT JAMSHEDPUR (07th to 11th May 2020).
  • Participated in one day FDP on Robotic process automation and its allied Machine Learning organized by VELS in association with Electronik lab India Private Ltd. on 23rd May 2020.
  • Participated Webinar series on Satellite and Automation organized by IEEE Bangalore(11th – 13th May 2020).
  • Participated in one day FDP on Ruby Programming organized by VIT ,Chennai(11th – 12th May 2020).
  • Participated in one day FDP on Machine Learning Conducted by Santhiram Engineering College on 2nd May 2020.
  • Participated in Machine Learning with ScikitLearn Webinar condiucted by Codegnan IT Solutions on 1st May 2020.
  • Participated in the 5 days AICTE recognized FDP on “An Enterprise Perspective on Block Chain Technology” at Sri Krishna College of Engineering and Technology, Kuniamuthur, Coimbatore.(6th to 10th January 2020).
  • Participated in the International Conference on Transforming Academic Libraries: Vision 2030 organized by the Vankatram Learning Centre at Sri Krishna College of Engineering and Technology, Kuniamuthur, Coimbatore. (14th – 16th November 2019).
  • Participated in the 6 days AICTE-ISTE approved Induction /Refresher Programmeon “Machine Learning Techniques for Next Generation Smart Systems” at Sri Krishna College of Engineering and Technology, Kuniamuthur, Coimbatore. (18th – 23rdJune 2018).
  • Participated in one week AICTE Recognized Short Term Course on Machine Learning Using Python,at Sri Krishna College of Engineering and Technology, Kuniamuthur, Coimbatore. (14th – 18thMay 2018).
  • Presented Paper titled “A Literature Review on Artificial Bee Colony Algorithm” IEEE Sponsored ICRAET at Sri Krishna College of Engineering and Technology, Kuniamuthur, Coimbatore. (28th – 29thDecember 2017).
  • Participated in the 5 days FDP on “Data Science and Big Data Analytics” at Sri Krishna College of Technology, Coimbatore. (18th Dec– 22ndDec 2017).
  • Attended one day FDP on “Setting up a Private and Public Cloud-Industry Perspectives” at Sri Krishna College of Technology, Coimbatore on 9th September 2017.
  • Participated in 2 days FDP on “Data Structures and Applications” at Sri Krishna College of Technology, Coimbatore. (27th& 28ndJune 2017).
  • Presented Paper titled “Utilization of Rough Set Reduct Algorithm and Evolutionary Techniques for Medical Domain using Feature Selection” at the InternationalConference on Soft Computing in Applied Sciences & Engineering at Noorul Islam University, Kumaracoil, Kanyakumari Dist., Tamilnadu(23rd – 24th July 2015).
  • Participated in the 2 days FDP program on “Data Structures and Algorithms” at Sri Krishna College of Technology, Coimbatore. (19th – 20th June 2015).
  • Presented Paper titled “Rough Set Reduct Algorithm For Medical Domain Based On Feature Selection”, at the National Conference on Recent Trends in Soft Computing at Sri Ramakrishna Engineering College,Coimbatore.(25th April 2015).
  • Participated in the 2 days FDP program on “Introduction to J2EE” at Sri Krishna College of Engineering and Technology, Kuniamuthur, Coimbatore. (23rd – 24th April 2015).
  • Presented Paper titled “Medical Domain Based Feature Selection Using Rough Set Reduct Algorithm”, at the Seventh National Conference on Advanced Computing Systems at Hindustan College of Engineering and Technology,Coimbatore.(19th March, 2015).
  • Attended one day workshop on “Latex” at Sri Krishna College of engineering and technology, Coimbatore on 13th September,2014.
  • Attended Two days National Level workshop on “Research Issues in Data Mining and Implementation Aspects ” at Sri Krishna College of engineering and technology, Coimbatore on (21th – 22th February,2014).
  • Attended one day workshop on “Research Focus on Security in Next Generation Wireless Networks” at Sri Krishna College of engineering and technology, Coimbatore on 19th November,2013.
  • Attended Two days National Level workshop on “Software for Data Mining” at Sri Krishna College of engineering and technology, Coimbatore on (17th – 18th September,2013).
  • Presented Paper titled “A Hybrid MAC for Wireless Sensor Networks”, at the International Conference on Advances in Optoelectronics, Information and Communication Technologies at SCT Engineering college , kerala. (26th – 27th February, 2009).
  • Presented Paper titled “A Hybrid MAC for Wireless Sensor Networks”, at the National Conference on Cryptography & Network Security at VIT University (18th – 19th February, 2009).
  • Participated in the FDP program on “Research issues in Computer Networking” at Government College of Technology, Coimbatore.(19th – 20th September 2008).
  • Participated in the Residential Programme on “TCTSD” at Bharathidasan University (23rd – 27th April, 2007).
  • Attended one-day Workshop on “Computer Hardware Dry Assembly” (17th July 2004).
Miscellaneous  

Awards/Honors/Recognition

  • Mentored Student Team for SmartIndia Hackathon 2022 and won a first prize of Rs.1,00,000/- held on 25th & 26th August 2022.
  • Mentored Student for UNESCO AfricaIndia Hackathon as a sequel of their tremendous success in SIH 2022 and won a cash prize of Rs.3,00,000/-held on 22nd November 2022.
  • Mentored III-year students for the project ZETA in Innovation Challenge Track of IEEE YESIST12 2022 (AGE OF INNOVATION) held on September 10, 2022.
  • “Best Research Paper Award” for the year 2018-19 during the Annual Day at Sri Krishna College of Engineering and Technology.
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