T.K.Revathi, M.E., (Ph.d)

T.K.Revathi, M.E., (Ph.d)

Email: revathi.tk@sonatech.ac.in

Designation: Assistant Professor

Experience: 14 years 4 months

Specialization: Big data analytics, Machine learning, Deep learning

Journal Publication Conference Publication Book Publication Major Contributions Invited Talk Training / Workshops Consultancy Research Projects Patent Membership Research IDs Awards & Recognitions Lab Achievements Credentials

Journal Publication

  1. Revathi T.K., Balasubramaniam S., Sureshkumar V., Dhanasekaran S. “An Improved Long Short-Term Memory Algorithm for Cardiovascular Disease Prediction.” *Diagnostics*, 2024; 14(3):239. https://doi.org/10.3390/diagnostics14030239
  2. Valliappa Chocko, Kalyanasundaram Revathi Thavamani, Balasubramaniam Sathiyabhama, Sennan Sankar, Sampath Kumar Nirmalesh Kumar. “Automated atrial fibrillation prediction using a hybrid LSTM network with enhanced whale optimization on ECG datasets.” *International Journal of Noncommunicable Diseases*, 6(Suppl 1): S76–S82, Nov 2021. DOI: 10.4103/2468-8827.330654
  3. Revathi T.K., Sathiyabhama B., Sankar S. “A Deep Learning Approach for Diagnosing Coronary Inflammation with MSCAR-DBT-based Artery Segmentation in CCTA.” *Annals of the Romanian Society for Cell Biology*, 25(6), pp.4936–4948, 2021.
  4. Revathi T.K., Sathiyabhama B., Sankar S. “Diagnosing Cardiovascular Disease Using GAN in Retinal Fundus Images.” *Annals of the Romanian Society for Cell Biology*, 25(5), pp.2563–2572, 2021.
  5. Gomathi G., Yalini C., Revathi T.K. “Secure Data Aggregation Technique for Wireless Sensor Networks in the Presence of Security Threats.” *International Journal of Emerging Technologies and Engineering (IJETE)*, 1(9), pp.229–234, 2014.
  6. R. Shanthi, T.K. Revathi, Dr. J. Vellingiri. “Multicast Routing and Bandwidth Analysis Using Relay Node for Quality Video Transmission.” *International Journal of Engineering Research and Development*, Vol. 8, Issue 10, pp.19–25. e-ISSN: 2278-067X, p-ISSN: 2278-800X.
  7. Revathi, T.K., Sathiyabhama, B., Kaliraj, S. et al. (2025). Early Prediction of Cardio Vascular Disease (CVD) from Diabetic Retinopathy using improvised deep Belief Network (I-DBN) with Optimum feature selection technique. BMC Cardiovasc Disord, 25, 30. https://doi.org/10.1186/s12872-024-04374-0
  8. Revathi T.K., Balasubramaniam S., Sureshkumar V., Dhanasekaran S. (2024). An Improved Long Short-Term Memory Algorithm for Cardiovascular Disease Prediction. Diagnostics, 14(3), 239. https://doi.org/10.3390/diagnostics14030239
  9. Valliappa Chocko, Kalyanasundaram Revathi Thavamani, Balasubramaniam Sathiyabhama, Sennan Sankar, Sampath Kumar Nirmalesh Kumar. (2021). Automated atrial fibrillation prediction using a hybrid LSTM network with enhanced whale optimization on ECG datasets. International Journal of Noncommunicable Diseases, 6(Suppl 1), S76–S82. DOI: 10.4103/2468-8827.330654
  10. Revathi T.K., Sathiyabhama B., Sankar S. (2021). A Deep Learning Approach for Diagnosing Coronary Inflammation with MSCAR-DBT-based Artery Segmentation in CCTA. Annals of the Romanian Society for Cell Biology, 25(6), 4936–4948.
  11. Revathi T.K., Sathiyabhama B., Sankar S. (2021). Diagnosing Cardiovascular Disease Using GAN in Retinal Fundus Images. Annals of the Romanian Society for Cell Biology, 25(5), 2563–2572.
  12. Gomathi G., Yalini C., Revathi T.K. (2014). Secure Data Aggregation Technique for Wireless Sensor Networks in the Presence of Security Threats. International Journal of Emerging Technologies and Engineering (IJETE), 1(9), 229–234.
  13. R. Shanthi, T.K. Revathi, J. Vellingiri. (2013). Multicast Routing and Bandwidth Analysis Using Relay Node for Quality Video Transmission. International Journal of Engineering Research and Development, 8(10), 19–25. e-ISSN: 2278-067X, p-ISSN: 2278-800X.
  14. Ajantha, J. & Revathi, T.K. (2016). Similarity & Location aware scalable deduplication system for multimedia storage systems. Discovery Engineering - An International Journal, 4(14), 472–477. ISSN: 2320–6853.
  15. Revathi, T.K. (2014). Route control using relay node for video transmission. International Journal Of Engineering Research and Advanced Technology, 3(5), 64–70. ISSN: 2278-6856.
  16. Revathi, T.K. & Yalini, C. (2014). Secure Data Aggregation Technique for Wireless Sensor Networks in the Presence of Security Threats. International Journal of Emerging Technologies and Engineering, 1(9), 229–234. ISSN: 2348-8050.
  17. Revathi, T.K. & Vellingiri, J. (2013). Multicast Routing and Bandwidth Analysis Using Relay Node for Quality Video Transmission. International Journal of Engineering Research and Development, 8(10), 19–25. ISSN: 2278-067X.

Conferences Publication

  1. S. Lakshmi S., B. Sathiyabhama, T. K. Revathi, N. Basker and R. B. Vinothkumar, "Tracing of Vehicle Region and Number Plate Detection using Deep Learning," 2020 International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE), Vellore, India, 2020, pp. 1-4, doi: 10.1109/ic-ETITE47903.2020.357.
  2. T.K. Revathi, B. Sathiyabhama, “Generative Adversarial Network (GAN) Framework for Predicting Cardiac Risk Factors using Coronary Inflammation with Fat Attenuation Index (FAI) Biomarker”, International Virtual Conference on Applied Science, Technology, Management And Language Studies (ASTMLS-2020), 11th & 12th December, 2020.
  3. S. Lakshmi S., B. Sathiyabhama, T. K. Revathi, N. Basker, R. B. Vinothkumar, “Tracing of Vehicle Region and Number Plate Detection using Deep Learning,” 2020 International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE), Vellore, India, 2020, pp. 1-4, doi: 10.1109/ic-ETITE47903.2020.357.
  4. Presented a paper titled “Interpretable Stacked Deep Learning Model for Cardiovascular Disease Prediction Harnessing XAI to Identify Critical Risk Factors” in the International Conference on Computational Intelligence, Security and Systems (ICCISS-2025) on 03.04.2025 conducted at Sona College of Technology, Salem.
  5. Presented a paper titled “Hybrid Swin Transformer and U-Net for Enhanced Heart Disease Prediction: A Deep Learning Approach for Clinical Decision Support” in the International Conference on Computational Intelligence, Security and Systems (ICCISS-2025) on 03.04.2025 conducted at Sona College of Technology, Salem.
  6. Presented a paper titled “AI Driven Companion for Real Time Heritage Insights” in the International Conference on Computational Intelligence, Security and Systems (ICCISS-2025) on 03.04.2025 conducted at Sona College of Technology, Salem.
  7. Presented a paper titled “Automating Sales Order Management in Salesforce” in the International Conference on Computational Intelligence, Security and Systems (ICCISS-2025) on 03.04.2025 conducted at Sona College of Technology, Salem.

Book Publication

  1. An intelligent model for coronary heart disease diagnosis, T. K. Revathi, B. Sathiyabhama, S. Sankar, Digvijay Pandey, Binay Kumar Pandey, Pankaj Dadeech, Book: Networking Technologies in Smart Healthcare, Edition1st Edition, 2022, CRC Press, Pages19, ISBN9781003239888, DOI: https://doi.org/10.1201/9781003239888
  2. A Machine Learning Approach for Predicting Parkinson's Disease Using Big Data, ByHarish Reddy Gantla, P. N. Siva Jyothi, Ramesh Kumar, A. Sivaramakrishnan, Rania Mohy ElDin Nafea, T.K. Revathi, V. K. Reshma, Book: Recent Advances in Management and Engineering, Edition1st Edition, 2024,CRC Press, 6, ISBN9781003532026
  3. An intelligent model for coronary heart disease diagnosis, T. K. Revathi, B. Sathiyabhama, S. Sankar, Digvijay Pandey, Binay Kumar Pandey, Pankaj Dadeech, Book: Networking Technologies in Smart Healthcare, Edition1st Edition, 2022, CRC Press, Pages19, ISBN9781003239888, DOI: https://doi.org/10.1201/9781003239888.

Research Projects (Funded Projects)

  1. “Science Technology and Innovation Hub for livelihood enhancement of SC community in Omalur and Kadayampatti Blocks, Salem, District, Tamil Nadu”, has been approved at a total cost off Rs.2,77,01,533/ by DEPARTMENT OF SCIENCE AND TECHNOLOGY, March’2023.
  2. A Nationally-funded project titled “Science Technology and Innovation Hub for livelihood enhancement of SC community in Omalur and Kadayampatti Blocks, Salem District, Tamil Nadu” funded by Department of Science and Technology (DST – STIHUB) Grants-in-aid Rs. 2,77,01,533/-. Website: https://www.sonatech.ac.in/cse/STIHUB/
  3. Participated in DST & Texas Instruments India Innovation Challenge Design Contest 2018, anchored by NSRCEL at IIM Bangalore.
  4. Participated in Technical Article Writing conducted by AWSAR (Augmenting Writing Skills for Articulating Research), Department of Science and Technology, Government of India. Article Reference Number: AW/2018/1889.
  5. Initiated research work by attending the National Level Workshop on ‘Deep Learning for Beginners’ on 28.09.2018 organized by Department of Information Technology, Kongu Engineering College, Perundurai.
  6. Participated in the MAMMOTHON’18, Breast Cancer Awareness Campaign funded by Department of Science and Technology, Government of India, organized by Sona College of Technology, Salem in association with Shanmuga Hospital and Salem Cancer Institute on 13th Oct 2018.
  7. One of my research papers was reviewed and accepted for conference presentation by the scientific review committee of the International Conference on Bioinformatics and System Biology, Singapore. Planned to attend oral presentation at Singapore on March 20–21, 2019.
  8. Dr. B. Sathiyabhama, Dr. J. Dhayanithi, and Ms. T.K. Revathi (team MAPATHON3845) were recognized as WINNERS in the IITB–ISRO–AICTE Mapathon, an initiative of the FOSSEE (Free/Libre and Open Source Software in Education) Project, IIT Bombay, in association with ISRO and AICTE. The Mapathon was held between December 7 and December 22, 2020.

Patent

  1. A SCREENING SYSTEM FOR SIMULTANEOUS INSPECTION OF BAGGAGE AND PASSENGER, Mr. Chocko Valliappa, Dr. B. Sathiyabhama, Ms.T. K. Revathi, Ms. S. Shantha Lakshmi, published in the year of 2021, Application Number: 201941042001
  2. Hearing process completed on 10.01.2024 – Filed a patent “A Screening System for Simultaneous Inspection of Baggage and Passenger” on 17-Oct-2019. Form-1 Application Number: 201941042001; App Number TEMP/E-1/44569/2019-CHE.
  3. Published a patent “A Screening System for Simultaneous Inspection of Baggage and Passenger” on 17-Oct-2019. Form-1 Application Number: 201941042001; App Number TEMP/E-1/44569/2019-CHE.

Membership

  1. ISTE Lifetime Membership

Researcher IDs

Awards and Achievements

  1. Received WIPRO CERTIFIED FACULTY award from TalentNext - Wipro Technologies, Bangalore in the year of 2019.
  2. Achieved Star Performer Recognition from NPTEL
  3. Dr. B. Sathiyabhama, Dr. J. Dhayanithi, and Ms. T. K. Revathi (Team MAPATHON3845) were recognized as winners in the IITB–ISRO–AICTE Mapathon, an initiative of the FOSSEE Project, IIT Bombay in association with ISRO and AICTE, held between 7–22 December 2020.
  4. Awarded as 'Wipro Certified Faculty' by TalentNext - Wipro Technologies, Bangalore in the year 2019.
  5. Received Exceptional Performer award for the academic achievement of 95 percent given to the subject 'Design and Analysis of Algorithms'.
  6. Awarded with a medal for outstanding commitment in achieving 100 percent academic results in the subject 'Software Quality Assurance' during 2015–2016.
  7. Received Certificate of Merit for achieving 100 percent result in the subject 'User Interface Design' taught during the academic year 2015–2016.
  8. Received Muthayammal Academic Award (MAA) for achieving 100 percent results in Anna University examination for 'Client Server Computing'.
  9. Awarded with MAA–2012 for academic performance in the subject 'Principles of Compiler Design' in the year 2011.
  10. Received 'Discipline Star' Award from NPTEL.
  11. Received Wipro Certification for attending the Advanced Technology Program (ATP) training and got trained on 'Cloud Computing' from 11th September to 15th September 2023.
  12. Received an Award of Excellence for Digital Skills Readiness Program for the completion of a project on AI conducted by Wipro Technologies, Bangalore during Nov 2022 – Mar 2023.