Dr. K.S. Gayathri-IT-SSN

Dr. K.S. Gayathri

B.E., M.E., Ph.D

Associate Professor

Department of Information Technology

Extn :  224

Dr. K. S. Gayathri has teaching experience of 23 years. She received her Bachelor’s in Computer Science and Engineering from Madras University in 2001 and Master’s in Computer Science and Engineering from Anna University in 2009. She earned her PhD degree from Anna University in 2018, thesis titled ‘Activity Recognition in Smart Home’. She is a recognized supervisor of Anna University and her research interests are Artificial Intelligence and Machine Learning. She is currently guiding 5 PhD scholars and mentoring several projects on various domains of Artificial intelligence. She has published more than 30 research papers in reputed international journals and conferences. One of her research publications in Elsevier journal has received a certificate of appreciation for high impact factor journal publication from Anna University in 2018. She is an active reviewer in various international journals such as IEEE transactions, Elsevier and Springer.

SnoTitleSponsoring AgencyPeriodAmount in INR
1NutriApp: Multi-Agent System for
Complex Decision-Making Using
LLM"
NVIDIA Corporation2025-202631 Lakhs
2Development of Deep Learning
Models for Automatic Detection and
classification of multiple sleep
disorders from multimodal data using
wearable charge transfer ST QVAR
Multisensor
ST MEMS
Technologies and
Solutions
2023-202627 lakhs
3Satellite Image Segmentation for Land
Use and Land Cover Analysis using
Attention-based Deep Learning
Approach
Naan Mudhalvan Niral
Thiruvizha, Tamil Nadu
Skill Development
Corporation
2023-20240.1 Lakh
4Ambient assisted dementia care
through smart home with activity
recognition, abnormality detection and
decision support system using
artificial intelligence and machine
learning technique
SSN -HCL Trust2021-20242 Lakhs
5Estimation of air quality in
Indian cities using adaptive
framework based on transfer learning
and semi supervised Learning
Intramural Research
Funded Project, Sri
Venkateswara College
of Engineering
2019-20200.1 Lakh

  1. Rini P L, Gayathri K S, 2024, (2024) Cognitive decline assessment using semantic linguistic content and transformer deep learning architecture. International Journal of Language & Communication Disorders, 59, 1110–1127. https://doi.org/10.1111/1460-6984.1297, Impact factor: 2.4 (Web of Science)
  2. Badri Narayanan, Ramesh, Arun Kumar, Gayathri, K.S., Shahina, A., 2023 ‘Fake News Detection Using a Deep Learning Transformer Based Encoder-decoder Architecture’. Journal of Intelligent & Fuzzy Systems, vol. 45, no. 5, pp. 8001-8013, 2023, DOI: 10.3233/JIFS-223980, Impact factor 2 (Web of Science)
  3. Gayathri K S, Easwarakumar K S and Susan Elias 2017, `Probabilistic ontology based activity recognition in smart homes using Markov Logic Network’, Journal on Knowledge-Based Systems, Elsevier,121, pp. 173 – 184 Impact factor: 5.921 ISSN: 0950-7051
  4. Gayathri K S, Susan Elias and Ravindran B 2014, `Hierarchical activity recognition for dementia care using markov logic network’, Journal on Personal and Ubiquitous Computing, Springer-Verlag London, vol. 19, no. 2, pp. 271 – 285 Impact factor: 2.395ISSN 1617-4909
  5. Gayathri K S, Easwarakumar K S, Susan Elias, (2020), “Fuzzy Ontology Based Activity Recognition for Assistive Health Care Using Smart Home”, International Journal of Intelligent Information Technologies(IJIIT), 2020, Volume 16, Isuue 1, pp 17-31. doi: 10.4018/IJIIT.2020010102 (Web of Science and Scopus indexed) Impact factor 0.293, ISSN 1548-3657
  6. Anu Inba Mozhi R.S. and Gayathri K.S, (2016), “Probabilistic Relational Model based approach for Decision Support Systems”, International Journal of Control Theory and Applications (IJCTA) Volume 9(10), pp. 453-461 Impact factor of 0.175ISSN 0974-5572 (Web of Science and Scopus indexed)
  7. Gayathri K S, Easwarakumar K S, Susan Elias, 2018, `Contextual Pattern Clustering for Ontology Based Activity Recognition in Smart Home`, Smart Communications in Computer and Information Science, vol. 808, pp. 209 – 223, Springer(SCOPUS indexed) ISSN: 1865-0929
  8. Gayathri K S and Easwarakumar K S 2016, `Intelligent decision support system for dementia care through smart home’, Elsevier-Procedia Computer Science, vol. 3, pp. 947 – 955 Impact factor 1.26(Scopus indexed), ISSN: 1877-0509
  9. Gayathri K S, Susan Elias and Shivasankar S 2014, `An Ontology and Pattern Clustering Approach for Activity Recognition in Smart Environments’, Springer-Advances in Intelligent Systems and Computing,258, pp. 833-843 (Scopus indexed) Impact factor 0.57
  10. Gayathri K S, Easwarakumar K S, Susan Elias, 2018, `Activity recognition and dementia care in smart home’ book chapter “Digital India”, Advances in Theory and Practice of Emerging Markets’, Springer Nature, pp. 33 – 47 ISSN 2522-5006
  11. Gayathri K S, Easwarakumar K S and Susan Elias, `Assistive dementia care system through smart home’ published in Springer book series entitled `Smart innovation, systems and technologies’ Springer, Scopus indexed,79, pp. 455-467, 2018, ISSN: 2190-3018
  12. Gayathri K S, Susan Elias and Shivashankar S 2015, `Composite Activity Recognition in Smart Homes Using Markov Logic Network’, Proceedings in IEEE 12th International Conference on Ubiquitous Intelligence and Computing, Indonesia, pp. 46-53.