Dr. N. Gayathri is from Madurai, Tamil Nadu. She received her Ph.D in Information and Communication Engineering from Anna University Chennai. She has several SCI and scopus publications to her credit in journals and has edited many books. She is a guest editor for Recent Patents on Computer Science and a reviewer in many reputed journals. Her research interests include Artificial Intelligence and Machine learning. She is an active IEEE WIE faculty advisor.
Research Publications
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Ensemble Classification and IoT Based Pattern Recognition for Crop Disease Monitoring System, IEEE Internet of Things Journal (Indexing: SCIE Impact Factor:10.6)
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Multi-Variate vocal data analysis for Detection of Parkinson disease using Deep Learning. Neural Computing and Applications, Springer (Indexing: SCIE Impact Factor:4.7)
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Parkinson Data Analysis and Prediction System Using Multi-Variant Stacked Auto Encoder, in IEEE Access (Indexing: SCIE Impact Factor :3.4)
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Secure and Consistent Job Administration Using Encrypted Data Access Policies in Cloud Systems. Computers & Electrical Engineering,(Indexing: SCIE Impact Factor:4.0)
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Secure and concealed watchdog selection scheme using masked distributed selection approach in wireless sensor networks, IET Communications(Indexing: SCIE Impact Factor:1.5)
Ongoing Research Projects
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Crop Disease prediction using Machine learning
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Cancer detection using Machine learning
Expertise
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Artificial Intelligence and Machine learning, Networks
Authored Books
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BLOCKCHAIN BIG DATA AND MACHINE LEARNING, CRC Press, Taylor & Francis(Choice Outstanding Book Award)
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AI and IoT based intelligent automation in Robotics, Wiley(prescribed as the Reference book by Stanford University)
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Applications of Artificial Intelligence in E-Healthcare System, IET
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Deep Learning Model Optimization, Deployment and Improvement Techniques for Edge-native Applications, Cambridge Scholars Publishing(catalogue record for this book is available in the British Library)