gayathri rajagopal
Sri Venkateswara College of Engineering, Vel Tech Dr. RR & Dr. SR Technical University, KCG College of Technology
About
Dr.R.Gayathri received her Ph.D. degree in Information and Communication Engineering from Anna University, College of Engineering Guindy, Chennai. She has teaching and research experience of over 22 years in Electronics and Communication Engineering. She loves to learn and teach cutting edge techniques of Signal Processing related subjects. As a part of PhD, she worked on “Performance Analysis on Multimodal Biometric System based Authentication”. Her research includes Computer Vision, Pattern Recognition, VLSI Signal Processing, Remote Sensing and Machine Learning for video analytics with the focus on human tracking, multi-resolution video processing, biologically-inspired spatial-temporal filtering, hyperspectral image processing, Natural language processing etc.,
She is a recognized supervisor of Anna University and currently guiding nine research scholars (PhD) under Anna University, Chennai. She has received and successfully completed the ISRO respond funded project titled “Design and Implementation of High-Performance Hyperspectral Target Detection system using FPGA '' during 2019. She has published 45 International Journal and 28 International Conference articles in the web of science, Scopus indexed journals. Her research work has received two hundred and thirty-one citations with h index 11 (as per google scholar index citation). She has been invited as keynote speaker for more than 30 events in many technical workshops, conferences and guest speakers. She has organized many technical events like workshops, faculty development programs and conferences at national and international level. She has been serving as an Active Reviewer in Measurement journal, Elsevier, Imaging Science Journal, Taylor & Francis Ltd, England, Journal of Intelligent & Fuzzy Systems, IOS press, Netherlands, British Journal of Mathematics and Computer Science, Journal of Computer Sciences, American Journal of Applied Science, Inderscience Journal, Journal of Sensors and IEEE conferences, Springer, British Journal of Mathematics and Computer Science, Journal of Computer Sciences etc. She has been honoured as an Academic Editor of “Asian Journal of Research in Computer Science” and as Academic Editor of “DECENT Journals'' of Brisbane, Queensland, Australia. She has mentored many undergraduate and postgraduate research students in computer vision and data science projects.
Employment
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Sri Venkateswara College of Engineering Professor2013 - Present
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Vel Tech Dr. RR & Dr. SR Technical University Assistant Professor2007 - 2012
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KCG College of Technology Assistant Professor2001 - 2007
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (103)
- Engineering bandgaps and charge dynamics: CNT-spinned LiZn0.5Al2O4 spinel nanoarchitectures for high-efficiency dye-sensitized solar cells Save
- A geometry-driven framework for accurate and robust DV-Hop localization in heterogeneous wireless sensor deployments Save
- Cooking Oil Choice and Cardiometabolic Risk Among Asian Indians: Evidence from the Indian Council of Medical Research-India Diabetes (ICMR-INDIAB) National Study Save
- Engineering bandgaps and charge dynamics: CNT-spinned LiZn0.5Al2O4 spinel nanoarchitectures for high-efficiency dye-sensitized solar cells Save
- Remote Sensing Image Scene Classification Using Level-Based Attention of Inter-Intra Convolutional Features with Label Smoothing Regularization Save
- Australian Macadamia Orchards Predominantly Function as Carbon Sinks Save
- Blockchain-driven privacy-preservation of healthcare insurance data using improved ECC based encryption and deep learning based key tuning Save
- Effective adaptive res-BiGRU network for pest classification performance based on regionViT-yolov8-aided pest detection technique Save
- Enhancing Hepatitis C Diagnosis: The Impact of SMOTE, Optuna, and SHAP on Detection Methods Save
- Heuristically Improvised rice disease classification framework based on adaptive segmentation with the fusion of LSTM layer into Multi-Scale Residual attention Network Save