Faculty Profile

About

Dr. Kayarvizhy completed her Bachelors and Master of Technology in Computer Science from Pondicherry University. She holds a Ph.D. degree from Anna University, Chennai. She has over 20 years of teaching experience. Her research interests include Machine Learning, Data Science, Internet of Things and Software Metrics. She has 37 publications in various international journals and conferences. She continues to foster newer innovations through government grants like VGST,KSCST in her field of interest.

Education

• Doctor of Philosophy - Information and Communication Engineering
  Anna University
  Passed Year: 2014 | Program Type: PartTime
• M.Tech - Computer Science and Engineering
  Pondicherry University
  Passed Year: 2004 | Program Type: FullTime
• B. Tech - Computer Science and Engineering
  Pondicherry Engineering College
  Passed Year: 2001 | Program Type: FullTime

Selected Publications

• Conference | Published On : 22-08-2025
  Sandhya A Kulkarni, Dr Kayarvizhy and Samraat Dabolay
  “Enhancing Language Identification and Named Entity Recognition for Code-Mixed Languages using BERT Variants” in the Fifteenth International Conference on Recent Trends in Communication and Computer Networks - ComNet 2025, held during Aug 22-23, 2025, Chennai, India.
• Journal | Published On : 15-05-2025
  Kayarvizhy N, Antara Roy Choudhury ,Rekha G S, Bhuvan G , Chandramouli Sanchi
  On-Device Deep Learning for Retrieving System and User Timestamps from Noisy Chat Images, Procedia Computer Science 258 (2025) 3760–3770
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• Journal | Published On : 03-04-2025
  V.R., Srividhya, V. R. , Kayarvizhy
  Streamlined Traffic Prognosis using Flexible Reservoir Sampling and Regression Methods, Engineering, Technology and Applied Science Research, vol.15, issue:2, Pages: 20827-20834
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• Conference | Published On : 02-04-2025
  Nisarga Gondi , Kayarvizhy N.
  Multi-Constraint Time Series Imputation,19th INDIACom; 2025 12th International Conference on Computing for Sustainable Global Development, 02nd - 04th April, 2025
• Journal | Published On : 31-03-2025
  Srividhya V R , Kayarvizhy N
  Adaptive Deep Learning Framework with Unicintus Optimization for Anomaly Detection in Streaming Data (IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 16, No. 3, 2025
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• Conference | Published On : 13-09-2024
  Tejaswini Srinivas, Kayarvizhy N
  "Low and High Level Features Fusion for Image Classification", 3rd International conference for Advancement in Technology (ICONAT), 13th -15th sep 2024, IEEE Bombay Section.
• Journal | Published On : 26-08-2024
  Nandita Bangera & Kayarvizhy N
  “Learning Discriminative Features Using ANN Based Progressive Learning Model For Efficient Big Data Classification",JST ( Journal of Science and Technology) Vol. 32 (5), 2033-2053, Aug. 2024, DOI: https://doi.org/10.47836/pjst.32.5.06
• Journal | Published On : 16-08-2024
  Aravindh R. Shankar, Ajay Mittur, Adithya Narasimhan, Kayarvizhy N
  Deep reinforcement learning for autonomous driving in uncontrolled intersections of Indian roads, Multimedia Tools and Applications, https://doi.org/10.1007/s11042-024-19812-6
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• Journal | Published On : 28-02-2024
  Vishal Khot ,Vallisha M, Sharan S Pai , Chandra Shekar R K , Kayarvizhy N
  Actor Critic-based Multi Objective Reinforcement Learning for Multi Access Edge Computing, International Journal of Advanced Computer Science and Applications(IJACSA), Volume 15 Issue 2, 2024.
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• Journal | Published On : 01-01-2024
  Nandita Bangera, Kayarvizhy , Shubham Luharuka, Asha S Manek
  Improving Time efficiency in big data through progressive sampling based Classification model, Indonesian Journal of Electrical Engineering and Computer Science, ISSN 2502-4752, pp.248-260, Vol. 33, No.1 , DoI: 10.11591
• Journal | Published On : 07-10-2023
  Kayarvizhy N,Bharath Mahesh Gera, Bhavya Sharma, Dakshinamurthy S.
  TinyML based Deep Learning Model for Activity Detection, International Journal on Recent and Innovation Trends in Computing and Communication, ISSN: 2321-8169 Volume: 11 Issue: 11s, DOI: https://doi.org/10.17762/ijritcc.v11i11s.8081, oct 7th 2023
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• Conference | Published On : 06-10-2023
  N Kayarvizhy , Gupta Ajit J, V Akash, S Manoj Howale , Saranappa, Raj Kumar
  Predictive Wi-Fi Network Selection Enhancing User Experience through a Machine Learning-based Approach , Oct 6th -7th GCAT 2023
• Conference | Published On : 01-09-2023
  Vallisha M, Vishal Khot, Sharan S Pai, Kayarvizhy
  Deep Reinforcement Learning for Task Offloading in a Multi-access Edge Computing Environment, IEEE International Conference on Networks, Multimedia and Information Technology (NMITCON), Sept 1-2, 2023
• Conference | Published On : 07-04-2023
  Bharath Mahesh Gera, Dakshinamurthy S, Kayarvizhy N
  ANALYTICAL PERFORMANCE OF TRADITIONAL FEATURE SELECTION METHODS ON HIGH DIMENSIONALITY DATA IEEE 8th I2CT India, 07th-09th April 2023
• Journal | Published On : 08-03-2023
  Kayarvizhy N
  DOUBLE LAYER BIO INSPIRED ALGORITHM FOR NO-REFERENCE IMAGE BLUR DETECTION Gradiva Review Journal, Vol.9, issue 3, 2023 ISSN NO : 0363-8057
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• Conference | Published On : 23-12-2022
  Abhinandan Udupa, Adarsh K N, Anvitha Aravinda, Neelam H Godihal, Kayarvizhy N
  An Exploratory Analysis of GSDMM and BERTopic on Short Text Topic Modelling FOURTH IEEE INTERNATIONAL CONFERENCE ON COGNITIVE COMPUTING AND INFORMATION PROCESSING CCIP-2022
• Conference | Published On : 16-12-2022
  Shikha N, Karan Naidu, Antara Roy Choudhury,Kayarvizhy N
  Smart Memory Companion for elderly 2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)
• Conference | Published On : 20-11-2022
  Disha N, Neha B Chadaga, Hemang Singh and Kayarvizhy N
  Empirical analysis of sampling methods on imbalanced data IEEE North Karnataka Subsection International Flagship Conference IEEE NKCon 2022
• Conference | Published On : 12-05-2022
  Ajay Mittur, Aravindth R Shankar, Adhithya N, Kayarvizhy N
  Reinforcement Learning for Autonomous Driving Scenarios in Indian Roads, 6th International Conference on Inventive Communication and Computational Technologies
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• Journal | Published On : 11-11-2021
  Bangera, N., Kayarvizhy, N.
  Machine Learning Driven Feature Sensitive Progressive Sampling Model for BigData Analytics, International Journal of Advanced Computer Science and Applications(IJACSA), Volume 12 Issue 11, 2021. DOI: 10.14569/IJACSA.2021.0121138
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• Conference | Published On : 02-10-2021
  Dr. Kayarvizhy N and Sowmya V
  An Efficient Missing Data Imputation Model on Numerical Data, IEEE 2nd Global Conference for Advancement in Technology -2021 (GCAT 2021)
• Conference | Published On : 27-08-2021
  Bhuvana , Aishwarya, Kayarvizhy N
  Summarization and Prioritization of Amazon Reviews based on multi-level credibility attributes, 6th IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology (RTEICT-2021)
• Conference | Published On : 28-02-2021
  Kayarvizhy, Aditi Awasthi, Deepthi Bhat, Medhini Oak
  Effectiveness of connected components labelling approach in noise reduction for image de-fencing 3rd International Conference on communication and Computational Technologies
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• Journal | Published On : 01-01-2020
  Selva Kumar S, Kayarvizhy N
  Framework for Computing Potential Node with Higher Influence in Complex Social Network International Journal of Recent Technology and Engineering (IJRTE)
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• Conference | Published On : 18-05-2019
  VR Srividhya, SA Niketh, N Kavarvizhv
  Information Abstraction from IoT Streaming Greenhouse Data 4th International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT)
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• Conference | Published On : 18-05-2018
  Ashwin Uday Bhatkal, Aakash Verma, Dr. Kayarvizhy N
  Knowledge based Question and Answering system using user feedback, 3rd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT-2018), MAY 18th & 19th 2018
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• Conference | Published On : 29-11-2017
  Dr.Kayarvizhy, Harshitha, Panimozhi
  “ Internet of Things : A project based engineering course”, 5th IEEE international conference on MOOCs, Innovation and Technology in Education, 29th November 2017
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• Journal | Published On : 01-05-2017
  Selva Kumar S and Dr. Kayarvizhy N
  “A Comprehensive Insight towards Research Direction in Information Propagation” International Journal of Advanced Computer Science and Applications (IJACSA), 8(4), MAY 2017.
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• Conference | Published On : 08-04-2017
  Selva Kumar S, Kayarvizhy N, Balaji Rajendran
  ‘SADI: Stochastic Approach to Compute Degree of Importance in Web-Based Information Propagation’, Computer Science On-line Conference. Springer, Cham, April 2017.
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• Journal | Published On : 17-11-2016
  Kayarvizhy, N, Kanmani, S & Rhymend Uthariaraj, V
  ‘Enhancing the Fault Prediction of CK Metrics using High Precision Cohesion Metric’, InderScience – International Journal of Computer Applications in Technology, vol. 54, no.4, 2016.
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• Conference | Published On : 08-04-2016
  S Selva Kumar, K Sailaja Kumar, N. Kayarvizhy
  ‘Analysis of Information Propagation in Academic Social Networks’, International Conference on Recent Trends in Information Technology (ICRTIT), April 8-9, 2016
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• Journal | Published On : 01-02-2016
  Kayarvizhy N
  Tools’ International Journal of Computer Applications (0975 – 8887), vol. 135, no. 2, February 2016
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• Journal | Published On : 01-04-2014
  Kayarvizhy, N, Kanmani, S & Rhymend Uthariaraj V
  ‘Hypotheses verification for High Precision Cohesion Metric’, International Journal of Computer Sciences and Engineering, vol. 2, no. 4, pp. 238-243.
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• Journal | Published On : 01-01-2014
  Kayarvizhy, N, Kanmani, S & Rhymend Uthariaraj, V
  ‘ANN Models Optimized using Swarm Intelligence Algorithms’, WSEAS – Transactions on Computers 2014 Jan
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• Journal | Published On : 01-09-2013
  Kayarvizhy, N & Kanmani, S
  ‘Analyzing and Identifying potential areas of improvement in Object Oriented Metrics’, – International Review on Computers and Software, vol.8, no.9 Sep 2013
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• Journal | Published On : 01-07-2013
  Kayarvizhy, N, Kanmani, S & Rhymend Uthariaraj, V
  ‘Improving Fault Prediction using ANN-PSO in Object Oriented Systems’, International Journal of Computer Application, vol. 73, no. 3, pp.18-25 July 2013
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• Journal | Published On : 01-03-2013
  Kayarvizhy, N, Kanmani, S & Rhymend Uthariaraj V
  ‘High Precision Cohesion Metric’, WSEAS – Transactions on Information Science and Applications, vol. 10, no. 3, pp.79-89 March 2013
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• Conference | Published On : 07-10-2011
  N. Kayarvizhy, Nandita G. M. and Aruna B.S.
  ‘Metrics to Capture the Improvement of Security Due to the Usage of Generics in Java’, In International Conference on Computational Techniques and Artificial Intelligence (ICCTAI’2011), October 7-8, Pattaya, Thailand, pp. 83-85
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• Conference | Published On : 22-07-2011
  Kayarvizhy, N and Kanmani
  An Automated Tool for Computing Object Oriented Metrics using XML’, In Springer Communications in Computer Networks and Information Technologies: Proceedings of International Conference on Advances in Computing and Communications (ACC), Organized by Rajagiri School of Engineering &Technology,during July, 22-24, 2011 at Kochi, Kerala, India , vol. 191, pp. 69-79, 2011
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• Conference | Published On : 08-04-2011
  Kayarvizhy N and Kanmani S
  Analysis of Quality of Object Oriented Systems using Object Oriented Metrics’, Proceedings of the IEEE third International Conference on Electronic Computer Technology (ICECT), Kanyakumari, India, vol. 5, pp. 203-206. April 2011
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• Conference | Published On : 10-03-2011
  Kayarvizhy N and Kanmani
  ‘Comparative Analysis of CK Metrics across Object Oriented Languages’, In Springer Communications in Computer Networks and Information Technologies: Proceedings of second International Conference on Advances in Communication, Network and Computing (CNC), Bangalore, India, vol. 142, pp. 397-399. March
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• Journal | Published On : 01-07-2009
  Kayarvizhy, N, Kanmani S
  Evaluation of suitability of Object Oriented Metrics for C++, Java and C#’, CiiT - International Journal of Software Engineering and Technology, vol. 1, no. 4, pp. 151-155 July 2009
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Other Information

Membership in Professional Bodies: ISTE, IEEE
Funded Projects:
1. 5L funded project from VGST titled “HDMI based IoT Device for enhancing the life and security of Senior Citizens ”, 2017
2. 1.05 L funded project from TEQIP III titled "Intelligent image filtering system in mobile devices based on machine learning ," 2019
3. 9.65 L Dassault Systems funded project titled "Smart Aqua shrimp Farming Using Intelligent swarm Fish For Eco System Monitoring and Disease Prediction", 2021-23
4. KSCST 4.95 L funded Project titled "LAPKIT: Design of Low-Cost Raspberry Pi based Laptop and Electronic kit for rural students", 2023
Consultancy
Received 1.6L for SAMSUNG R&D Projects

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