Short Profile 

Dr. Kavitha P is graduated from Bharathidasan University, Thiruchirapalli in Computer Science and Engineering , 1998. She has completed her Masters Degree in Computer  Science and Engineering from Anna University, Chennai in 2004. She has completed her Ph.D in Information and Communication Engineering from Anna University, Chennai in 2017.  She was the sixth rank holder in Masters Degree from Anna Unversity, Chennai. She is a recognized research supervisor in Visvesvaraya Technological University (VTU), Belgaum and currently guiding two research scholars in the area of Machine Learning and Deep Neural Networks.

Experience :

               20+ Years of Teaching Experience

Areas of Interest in Teaching:

                Data mining and data warehousing,Artificial Intelligence and Machine Learning, Data Science, Database Management Systems, Data Structures and Algorithms, Design and Analysis of Algorithms, Computer Architectures,  C# and .Net Programming, System Software.

Areas of Interest in Research:

                Data Mining, Machine Learning, Wireless Network Security, Internet of Things (IoT), Deep Learning

Journal Publications

• • • Rosline Mary, A., Kavitha, P. Diabetic retinopathy disease detection using shapley additive ensembled densenet-121 resnet-50 model. Multimed Tools Appl (2024). https://doi.org/10.1007/s11042-024-18309-6 

    • Rubini PE, Kavitha P, A deep learning-based approach for early detection of disease in sugarcane plants: an explainable artificial intelligence model ,IAES International Journal of Artificial Intelligence (IJ-AI) Vol. 13, No. 1, March 2024, pp. 974~983 ISSN: 2252-8938, DOI: 10.11591/ijai.v13.i1.pp974-983 

    • Rubini PE, Kavitha P, Prediction of the right crop for the right soil and recommendation of fertiliser usage by machine learning algorithm, International Journal of Computer Applications in Technology, Volume 69,Issue 22022,pp 163–172,https://doi.org/10.1504/ijcat.2022.126885 

    • Kavitha P, Fathima.G, Revathi V, Dysgraphia Classification based on the Non-Discrimination Regularization in Rotational Region Convolutional Neural Network, International Journal of Intelligent Engineering and Systems https://inass.org/wp-content/uploads/2021/12/2022022806.pdf , 2022

    • Kavitha P, A. Rosline Mary ,Automated Diabetic Retinopathy detection and classification using stochastic coordinate descent deep learning architectures, Materials Today: Proceedings https://doi.org/10.1016/j.matpr.2021.07.250 ,2021

•  Rubini PE, Kavitha P ,  A Comprehensive literature survey for deep learning approaches to agricultural applications,World Review of Science, Technology and Sustainable Development , Vol .17 ,Issue 2-3, pp.279-293,Inderscience Publishers (IEL) 

• • •  Kavitha P , Road Trip Recommendation System Using User Preferences (May 25, 2021). Available at SSRN: https://ssrn.com/abstract=3852996 or http://dx.doi.org/10.2139/ssrn.3852996 

    • Kavitha P & Usha M, ‘Anomaly Based Intrusion Detection for 802.11 Networks based on Optimal Feature Selection using SVM Classifier’, Wireless Networks, Springer. DOI: 10.1007/s11276-016-1300-5,2016 (IF-0.9610.

    • Kavitha P & Usha M,  ‘Time Orient Flow Estimation Based Data Mining Approach for Intrusion Detection in Wireless Local Area Networks Using Delay Averaging, Scheme’, Middle-East Journal of Scientific Research, vol.24, no. 1,pp.97-102,2016 (Annexure-II).

• • •  Kavitha  P & Usha M,  ‘Anomaly Detection in Wireless LAN using Rough Set Theory Combined Classifier Model’, ARPN Journal of Engineering and Applied Sciences,vol.10, no.4, pp.1828-1833,2015

    • Kavitha P & Usha M, ‘Traffic Graph Based Intrusion Detection Approach for Wireless Local Area Networks Using Fuzzy Rule Sets’, International Journal of Applied Engineering and Research(IJAER), vol.22, pp.12715-12724, 2014 (Annexure-II). 

    • Kavitha P & Usha M , ‘Anomaly based Intrusion Detection in WLAN using Discrimination Algorithm combined with Naïve Bayesian Classifier’, Journal of Theoretical and Applied Information Technology, vol. 61, no.3, pp.646-653,2014 (Annexure-II).

    • Kavitha P & Usha M , ‘Cluster based Anomaly Detection in Wireless LAN’, International Journal of Computer Trends and Technology ,vol. 12,no.5, pp. 227-230,2014.

    • Kavitha P & Usha, M , ‘Classifier Selection Model for Network Intrusion Detection using Datamining’, CiiT International Journal of Data Mining and Knowledge Engineering, vol.3,no.12, pp.744-748,2011

Conference Publications

• •  Rubini PE, Kavitha P, Deep Learning model for early prediction of plant disease,Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV 2021) 

  • Kavitha P & Benit Pricilla 2017,  ‘Anomalous word detection in Social Media’ 2nd International Conference on Electronics Signal Integrity and Communication (ICESIC ’17). 

  •  Kavitha P & Usha, M 2016, ‘Anomaly based Network Intrusion Detection Systems: A Survey on Data mining Approaches’, Proceedings of 30th National Convention of Computer Engineers and National Seminar on Data mining Techniques & Recent Trends’. 

  •  Kavitha P & Usha, M 2015, ‘Computational Methods Applied to Anomaly Detection in Wireless LAN : A Survey’, Proceedings of in Fifth national conference on computational intelligence, security and systems(NAC-CISS ’15),pp.112-116.

  • Kavitha P & Usha, M 2015, ‘Anomaly Detection in Wireless LAN using Rough Set Theory Combined Classifier Model’, Proceedings of IEEE Sponsored 9th International Conference on Intelligent Systems and Control (ISCO),pp.176-181.

  • Kavitha P & Usha, M 2014, ‘Hybrid Learning Approach for Detecting Anomalies in Network’, Proceedings of national conference on recent trends and advances in information technology, pp.134-139.

  • Kavitha P & Usha, M 2012, ‘Cluster based Intrusion Detection in Wireless LAN’, Proceedings of CSIR sponsored national conference on new advances in computer and communications,pp.74-78.

  • Kavitha P & Usha, M 2009, ‘Data mining Techniques for Intrusion detection’ , Proceedings of national conference on emerging trends in engineering technology and applications, pp.212-216.

Consultancy Project:

Worked with SARCI Automations Pvt. Ltd, Bengaluru for "Automation of Invoice Processing " project  Apr.-Sep. 2022.

Funded Project:

• • Co-Investigator for UGC-Minor project titled ‘Elephant intrusion detection in farm lands of Krishnagiri district’ during 2014-2016 received a grant of 4.3 Lakhs. 

  • TNSCST students project titled “Amarino based Home Automation System” received a grant of Rs.10000/- in 2012-2013. 

  • TNSCST students project titled “Animal Intrusion Detection system“ received a grant of Rs.6000/- in 2009-2010.

Patents filed :

1. Smart IoT based Intravenous infusion system , Application No. 202041041862,IP India

2. IOT based smart device in synthetic pigment identification, Application No. 202041041861,IP India

3. Smart doorbell – with Visual Captioning System, Application No.: 202241035761 ,IP India

4. Targeted irrigation adaptor using object detection with electric vehicle and method thereof, Application No. 202341044254 (Published)

Events Attended:

• Attended Infosys- Faculty Enablement Program (FEP) - Generative AI on Citizen Data Science during July 31 to Sep 26, 2023 

• Attended AICTE Training And Learning (ATAL) Academy Online Elementary FDP on "SCILAB and XCOS – FOSS Alternatives for MATLAB and SIMULINK" from 07/02/2022 to 11/02/2022.

• Completed ONLINE COURSE ON “Overview of Geo-Processing using Python” organized Department  of Space, ISRO during 17-01-2022 to 28-01-2022.

• Applied AI with Deep Learning Course authorized by IBM and offered through Coursera, Cerificate No. KTQCWCJ3UEZP, 26th July 2020

• "Machine Learning" by Stanford University on Coursera.(Coursera Cerificate No. 6Y784GKCCNX2) Certificate earned on June 30, 2017

• Wipro sponsored FDP on Mission10x High Impact Teaching skills,  24-25, August 2009.

• FDP on Campus Connect – Foundation Programme, an intivative of Infosys , at Mysore, 2006 

Awards and Recognition:  

• Received an award for Research,TYL and Support activities of the department -2022

• Received an award for Experiential Learning -Category Award for Guiding the Student Project,2018-19

• Received Silver Award from Infosys -Campus Connect -Faculty Parnership Programme,2018

• M.E- bagged Sixth Rank in Anna University,2004

• M.E- bagged Second Rank in College,2004

Responsibilities:

• Heading Centre of Excellence(CoE)- Machine Intelligence and Bigdata from Jan. 2024

• Headed Department Research Committee from 2020-March 2023 - Reviewing Research Papers and Project Proposals

• Guiding Research Scholars,PG, UG Students Projects

• Monitoring Faculty Mega Projects -Department level

• Coordinating NBA, NAAC activities -Department level

Details of Membership :

• • Institution of Engineers (India)- IE (I) -Life Member

  • Indian Society for Technical Education (ISTE)- Life member