Assistant Professor at Sona College of Technology, India
Dr. Revathi T.K. is an Assistant Professor in the Department of Computer Science and Engineering at Kongunadu College of Engineering and Technology, affiliated with Anna University, Chennai. With a deep-rooted interest in Information and Communication Engineering (ICE), Dr. Revathi completed her Ph.D. from Sona College of Technology, Salem, under the supervision of Dr. B. Sathiyabhama. Over the years, she has made significant contributions to the field, specializing in machine learning, cardiovascular disease prediction, and deep learning. Her academic journey has been marked by several accolades and a strong research portfolio.
Profile:
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Education:
Dr. Revathi T.K. holds a Ph.D. in Information and Communication Engineering (ICE) from Sona College of Technology, Salem, where her research was supervised by Dr. B. Sathiyabhama, with the thesis focusing on advanced machine learning techniques in healthcare. She completed her Master of Engineering (M.E.) in Computer Science and Engineering from Muthayammal Engineering College, Rasipuram, with distinction and a CGPA of 9.01. Prior to that, she earned her Bachelor of Engineering (B.E.) degree in the same field from Muthayammal Engineering College, achieving 81%. She also completed her schooling at Government Higher Secondary School, Namagiripettai, with top marks in both the HSC and SSLC exams, which laid a strong foundation for her academic pursuits.
Experience:
Dr. Revathi’s professional career spans over a decade, beginning as a Lecturer at Muthayammal Engineering College from June 2010 to May 2013. She then served as an Assistant Professor at Kongunadu College of Engineering and Technology from June 2013 to May 2018. Since August 2020, Dr. Revathi has been an Assistant Professor at Kongunadu College of Engineering and Technology, continuing to contribute to the field of engineering education and research. Her roles have included teaching core subjects, mentoring students, and guiding research, with an emphasis on integrating industry-relevant skills and technological advancements into the curriculum.
Research Interests:
Dr. Revathi’s research interests lie primarily in the domains of machine learning, deep learning, and healthcare applications, particularly in predictive models for cardiovascular diseases and other health-related issues. She has worked extensively on applying deep learning techniques to medical imaging, especially in retinal fundus images and coronary angiography, to diagnose conditions like cardiovascular disease and Parkinson’s disease. Her work also extends to the development of intelligent models for disease prediction, with a focus on improving diagnostic accuracy and efficiency using state-of-the-art techniques in artificial intelligence.
Awards:
Dr. Revathi has been recognized for her outstanding contributions to both academia and research. She was honored as a ‘Wipro Certified Faculty’ in 2019 by Wipro Technologies and received multiple awards for exceptional academic performance, including the Exceptional Performer Award for achieving 95% in the subject ‘Design and Analysis of Algorithms’. Furthermore, she has been acknowledged for her contributions to achieving 100% academic results in various subjects like ‘Software Quality Assurance’ and ‘User Interface Design’. Dr. Revathi was also awarded the Muthayammal Academic Award for excellent performance in the ‘Client Server Computing’ subject, and the Discipline Star Award from NPTEL.
Publications:
Dr. Revathi has authored several impactful research publications, including notable works such as:
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Revathi, T.K., Sathiyabhama, B., Kaliraj, S. et al. Early Prediction of Cardio Vascular Disease (CVD) from Diabetic Retinopathy using Improvised Deep Belief Network (IDBN), BMC Cardiovascular Disorders, 2025.
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A Machine Learning Approach for Predicting Parkinson’s Disease Using Big Data, Harish Reddy Gantla et al., Recent Advances in Management and Engineering, CRC Press, 2024.
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Revathi, T.K., Sathiyabhama, B., Vidhushavarshini S., and Seshathiri D. An Improved Long Short-Term Memory Algorithm for Cardiovascular Disease Prediction, Diagnostics, 2024.
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Revathi, T.K., Sathiyabhama, B., Sankar, S. et al. Diagnosing Cardiovascular Disease (CVD) using Generative Adversarial Network (GAN) in Retinal Fundus Images, Annals of the Romanian Society for Cell Biology, 2021.
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Revathi, T.K., Sathiyabhama, B., Sankar, S. A Deep Learning based Approach for Diagnosing Coronary Inflammation, Annals of the Romanian Society for Cell Biology, 2021.
Conclusion:
Dr. Revathi T.K. stands as a prominent academician and researcher in the field of Computer Science and Engineering, with a strong focus on artificial intelligence applications in healthcare. Her work has earned her several prestigious awards, and she has a proven track record of publishing in high-impact journals and contributing to the academic community. Dr. Revathi’s dedication to advancing both her students’ education and her research in machine learning for healthcare continues to inspire and lead by example, reinforcing her commitment to bridging the gap between technology and medical sciences for societal benefit.