Research Expertise

Name of the Faculty

Specialization

E-mail Id

Dr. Karthi G.

Biometrics
Data science
Security and privacy
Artificial Intelligence.

gkarthi@saveetha.ac.in

Dr. G. Lavanya

Internet of Things
Machine Learning

glavanya@saveetha.ac.in

Dr.Gowri Ganesh N S

Cloud Computing
BlockChain
Artificial Intelligence
Internet of Things

gowriganeshns@saveetha.ac.in

Mrs. Surya S

Artificial Intelligence
Mobile Application Development

suryas@saveetha.ac.in

Mrs.Selvanayaki S

Networking

selvanayakis@saveetha.ac.in

Ms.S.Shanmuga Priya

Machine Learning
Image Processing

shanmugapriyas@saveetha.ac.in

Mr. Dhinesh Kumar K S

Internet Programming

dhineshkumarks@saveetha.ac.in

Ms. J. Varalakshmi

Cloud Computing

varalakshmij@saveetha.ac.in

Research Publications

Book Chapter Publication:

  1. Hemavathi, U., Medona, A.C.V. (2023). AI-Based Interactive Agent for Health Care Using NLP and Deep Learning. In: Joshi, A., Mahmud, M., Ragel, R.G. (eds) Information and Communication Technology for Competitive Strategies (ICTCS 2021). Lecture Notes in Networks and Systems, vol 400. Springer, Singapore. https://doi.org/10.1007/978-981-19-0095-2_2
  1. S. Sathya, G. Karthi, A. Suresh Kumar and S. Prakash.(2022). Energy Optimization in Smart Homes and Buildings.In Book: Hybrid Intelligent Optimization Approaches for Smart Energy .ISBN: 9781119821243.

Paper Publication

  1. CH Vasanth kumar, V Raghavendra Rao and Ann C V Medona(2022).Development of an integrated system for force measurement on end effectors of serial manipulators (IRB1410) using LabVIEW and data dashboard.IOP Conference Series: Materials Science and Engineering, Volume 1166, International Conference on Materials Science and Manufacturing Technology (ICMSMT 2021) 8th-9th April 2021, Coimbatore, India
  2. J. A. A. Layola, S. Amutha and N. K. (2021).Automatic Street Water Distribution System using Internet of Things. 5th International Conference on Trends in Electronics and Informatics (ICOEI), 2021, pp. 499-504, doi: 10.1109/ICOEI51242.2021.9452856.
  3. Amutha S, K N, Layola JAA. Morphological Segmentation based Image Processing Approaches for Agro IoT System for Crop Production. (2021). 5th International Conference on Trends in Electronics and Informatics (ICOEI) [Internet]. IEEE; 2021 Jun 3; Available from: http://dx.doi.org/10.1109/icoei51242.2021.9452815.
  4. K.Niha, S.Amudha and Aisha Ban.(2021).A Convolutional Neural Network based System to Detect Plant Disease Webology, Volume 18, Special Issue on Computing Technology and Information Management.ISSN: 1735-188X.doi: 10.14704/web/v18si04/web18175.
  5. K. Sekaran and S. Shanmugam, (2021).Predicting drug responsiveness by citalopram induced pathway regulations and biomarker discovery in lymphoblastoid cell lines from depression affected individuals.  International Conference on Decision Aid Sciences and Application (DASA), pp. 267-271, doi: 10.1109/DASA53625.2021.9682274.
  6. M., A., G, Karthi, A., J., Mohan, S., Ahmadian, A., & Ciano, T. (2022). A hybrid learning approach for the stage-wise classification and prediction of COVID-19 X-ray images.Expert Systems, 39(4), e12884. https://doi.org/10.1111/exsy.12884