faculty Profile

• PhD (Information and Communication Engineering), College of Engineering Guindy, Title: Performance Analysis of Multimodal Biometric System Based Authentication.
• M.Tech (Laser and Electro Optical Engineering)

• professor November 2022 to till date Sri Venkateswara College of Engineering
• Associate professor Nov. 2014 to October 2022 date Sri Venkateswara College of Engineering
• Assistant Professor Feb.2013 to Oct 2014 Sri Venkateswara College of Engineering
• Assistant Professor Nov.2007 to Dec.2012 Vel Tech Engineering College
• Assistant Professor June 2001 to Oct. 2007 KCG College of Technology
• Lecturer July 1999 to July 2000 Valliamai Engineering College,

• Digital Signal Processing
• Electronics and Microprocessor
• Communication system lab II
• Signals and Systems
• Digital Image Processing
• Microprocessors and its Applications
• Optical Communication
• Digital Communication
• Satellite Communication
• Data Communication
• Communication Systems
• Wavelets transform and its applications
• Pattern Recognition
• Image signal Processing
• Computer Aided Design for VLSI
• Computer Architecture and Parallel Processing
• ADSP

Patent Granted

• Received grant for an IPR-Indian design patent titled ” Artificial Intelligence-Based Nerve Activation Device for Healthcare Treatment Application number: 433205-001,  CBR number: 218525, Journal No: 49/2024, Grant notification: 2/12/2024.
• Received grant for an IPR-Indian design patent titled “Device for Detecting Diseased Leaves in Plants by Image Processing.” Application number: 391134-001, journal number: 39/2023, Cbr Number: 209243, Status: Granted, on September 25, 2023
• Received grant for an IPR-Indian design patent titled “Biometric Authentication System” journal number, 09/2023, Application Number: 364710-001, CBR Number: 201934, Filing date: 25/5/2022. Status: Granted. on 6.3.2023.

No. of Ph.D Scholars Supervised (Anna University, Chennai): 5

• (Anna University recognized Supervisor to guide Ph.D/M.S scholars by research (2640096))

Details of Ph.D Thesis Supervised:

• Design and Implementation of Real-Time Hyperspectral Target Detection Using FPGA – Mrs C. Sherin Shibi, Full-time scholar, Reg. No: 16244997236 (Viva Voce Date: 27.05.2022)
• Deep learning-based detection and classification of Alzheimer’s disease on MRI images – Mrs P.R. Buvaneswari, Part-time scholar, Reg. No: 16244997282 (Viva Voce Date: 01.09.3022)
• A hybrid framework for Tamil handwritten character recognition system using deep learning approach – Mrs Babitha Lincy R, Full-time scholar, Reg. No: 17244991486 (Viva Voce Date: 07.09.2022)
• Automated Design for Extracting Spatial-Spectral Features from Hyperspectral Images using Convolution Neural Networks – Mrs M. Kavitha, Reg. No: 16293997288 (Viva Voce Date: 05.01.2023)
• Epilepsy Detection using Optimized Features with Hybrid Classification Approach. Mr Srinath R, Part Time Scholar, Reg. No:  17154991110. ((Viva Voce Date: 28.07.2023)

Research Guiding:
No. of PhD Scholars Supervising (Anna University, Chennai): 11

• Epilepsy Detection using Optimized Features with Hybrid Classification Approach. Mr Srinath R, Part Time Scholar, Reg. No: 17154991110. (Thesis Submitted)
• Advances in Scene Classification of Remotely sensed High-Resolution Images and the Existing datasets. Mrs G. Akila, Part Time Scholar, Reg. No: 16244997127.
• An Efficient Boosting Algorithm for Attention Deficit Hyperactivity Disorder (ADHD) Diagnosis using Functional and Structural MRI, Mr Sheriff M, Part Time Scholar, Reg. No: 17183991102.
• Heuristically improved rice plant disease classification using LSTM and multi-scale residual network, Mrs Mehzabeen S M, Part Time Scholar, Reg. No: 17284991149.
• Voice Disguise in Automatic Speaker Verification, Mr Varadarajan Mk, Part Time Scholar, Reg. No: 21154997202.
• Automatic Rumors Detection and Removal on Social Networks using Deep Learning, Mr Senthil Kumar R, Part Time Scholar, Reg. No: 21154997653.
• Reduction of Energy Consumption in Blockchain, Mrs. Buvana J, Part Time Scholar, Reg. No: 21234997148.
• Feature selection method using a brain-computer interface, Mrs Shanmathi B, Part Time Scholar, Reg. No: 21244997707.
• Evolutionary algorithm for lung cancer detection using image segmentation, Mr Tamilselvan J, Part Time Scholar, Reg. No: 23124991375.
• Liver segmentation and cancer detection using Deep learning techniques, Mrs Nandhini, S, Full Time Scholar, Reg. No: 23244991350.
• Early Diagnosis of Alzheimers Disease with Deep Learnin, Mrs C Pushpa Priya, Part Time Scholar, Reg. No: 23259997186
• Lower Limb Neurorehabilitation via Brain Computer Interfaces, Mrs. Tanaya Kanungo, Part Time Scholar, Reg. No: 23259997459 

Reviewer

• Active Reviewer in Imaging Science Journal, Taylor & Francis Ltd, England, Journal of Intelligent & Fuzzy Systems, IOS Press, Netherlands, Elsevier, Springer, British Journal of Mathematics and Computer Science, Journal of Computer Sciences, American Journal of Applied Science, Inderscience Journal, Journal of Sensors and IEEE conferences, etc.
• Honoured as Academic Editor of “Asian Journal of Research in Computer Science” during September 2018 – 2022.
• Honoured as Academic Editor of “DECENT Journals” of Brisbane, Queensland, Australia.

Funded Project:

• Sanctioned a project from BIS, “Study of Lightning Accidents and Early Warning Systems in India to Assess Lightning Safety Measures” for Rs.5.25 lakhs, duration 2024 to 2025.
• Sanctioned a project from FAER Integra Scholar Program for the project titled “EMG-Driven Prosthetic Hand for Enhanced Mobility in Disabled Individuals” during 2024-25.
• Sanctioned a project titled “Wavelet-Based Solutions for Real-Time Mfotion Artifact Suppression in Ambulatory Seismocardiograph” under the intramural research fund SVCE during 2024-25.
• Sanctioned & completed a project from Naan Mudhalvan Niral scheme, Tamil Nadu Govt. for the project titled “Muscle Powered Bionic Hand for Enhanced Mobility”. during 2023-2024.
• Sanctioned & completed a project in the internet of things titled “IOT Enabled Smart Wheelchair for Enhanced Mobility and Independence”. under the intramural research fund – SVCE, during 2023-2024.
• Sanctioned & completed a project from FAER Integra Scholar Program for the project titled “Neuro-Adaptive Prosthetic Hand Control with EEG” duration 2023-24.
• Sanctioned & completed a project from ISRO, “Design and implementation of high-performance Hyperspectral target detection system using FPGA” for Rs. 9.17 lakhs, duration 2017 to 2019.
• Sanctioned & completed a project in the internet of things, “Gesticulation Based Smart surface with enhanced Biometric security using Raspberry Pi” under the intramural research fund – SVCE, duration 2016-2017.

Journal Publications:

• S.M. Mehzabeen, R. Gayathri, Heuristically Improvised rice disease classification framework based on adaptive segmentation with the fusion of LSTM layer into Multi-Scale Residual attention Network,Biomedical Signal Processing and Control, Volume 99, 2025, 106875,ISSN 1746-8094, https://doi.org/10.1016/j.bspc.2024.106875.
• Srinath, R., Gayathri, R., Shalini, C., Maragathavalli, P. (2024). Epilepsy Disease Detection Using the Proposed CNN-FCM Approach. In: Bhattacharya, A., Dutta, S., Dutta, P., Samanta, D. (eds) Innovations in Data Analytics. ICIDA 2023. Lecture Notes in Networks and Systems, vol 1005. Springer, Singapore. https://doi.org/10.1007/978-981-97-4928-7_29
• Akila, G., Gayathri, R. (2023). Enhanced Feature Fusion from Dual Attention Paths Using Feature Gating Mechanism for Scene Categorization of Aerial Images. In: Shakya, S., Tavares, J.M.R.S., Fernández-Caballero, A., Papakostas, G. (eds) Fourth International Conference on Image Processing and Capsule Networks. ICIPCN 2023. Lecture Notes in Networks and Systems, vol 798. Springer, Singapore. https://doi.org/10.1007/978-981-99-7093-3_38
• G Akila & R. Gayathri (2022) “Weighted Multi-Deep Feature Extraction for Hybrid Deep Convolutional LSTM-based Remote Sensing Image Scene Classification Model”, Geocarto International, Taylor and Francis, Vol 37, no.27, pp.18217–18253, 2022, ISSN 1010-6049 / 1752-0762, DOI: 10.1080/10106049.2022.2138567. Science Citation Index Expanded with an impact factor of 3.450 (Clarivate Analytics), Q2 journal.
• Sheriff M, & Gayathri R, “An Enhanced Ensemble Machine Learning Classification Method to Detect Attention Deficit Hyperactivity for Various AI and Telecommunication Applications”, Computational Intelligence Wiley, USA, DOI: 10.1111/coin.12509. ISSN, 0824-7935 / 1467-8640, Volume38, Issue4, August 2022, Pages 1327-1337, Science Citation Index Expanded with an impact factor of 2.330 (Clarivate Analytics), Q2 journal. 
• J. Kruthika, G. R. Nisha, R. Gayathri, V. Jeyalakshmi, “SRAM Memory Built-in Self-Test using MARCH Algorithm”, International Conference on Augmented Intelligence and Sustainable Systems (ICAISS-2022), 24.11.2022 to 26.11.2022, ISBN, 978-1-6654-8961-4.
• G. Akila & R. Gayathri (2022) Weighted Multi-Deep Feature Extraction for Hybrid Deep Convolutional LSTM-based Remote Sensing Image Scene Classification Model, Geocarto International, ISSN 1010-6049 / 1752-0762, DOI: 10.1080/10106049.2022.2138567. Science Citation Index Expanded with an impact factor of 3.450 (Clarivate Analytics), Q2 journal
• M. Kavitha and R. Gayathri, “Joint Spectral-Spatial Feature Using Deep 3-D CNN for Hyperspectral Images,” 2022 International Conference on Electronic Systems and Intelligent Computing (ICESIC), IEEE international Conference, 2022, pp. 281-285, doi: 10.1109/ICESIC53714.2022.9783563.
• Sheriff M, & Gayathri R, “An Enhanced Ensemble Machine Learning Classification Method to Detect Attention Deficit Hyperactivity for Various AI and Telecommunication Applications”, Computational Intelligence Wiley, USA,ISSN, 0824-7935 / 1467-8640, 2022, Science Citation Index Expanded with impact factor 2.330 (Clarivate analytics).
• R.Srinath, R.Gayathri, “Epilepsy Disorder Detection and Diagnosis Using Empirical Mode Decomposition and Deep Learning Architecture”, Concurrency and Computation Practice & Experience, Wiley, USA,ISSN, 1532-0626 / 1532-0634, 2022, Science Citation Index Expanded with impact factor 1.536 (Clarivate analytics).
• M.Kavitha,R.Gayathri,V. Dhilip Kumar, “Robust Spatial- Spectral Squeeze-Excitation AdaBound Dense Network (SE-AB-Densenet) for Hyperspectral Image Classification”, sensors journal, 1424-8220, MDPI, Swizerland, 2022. Science Citation Index Expanded with impact factor 3.576 (Clarivate analytics).
• M. Kavitha, R Gayathri, “Performance evaluation of deep e-CNN with integrated spatial-spectral features in hyperspectral image classification”, Measurement, Volume 191, 2022, ISSN 0263-2241, Elsevier, England, 2022.Science Citation Index Expanded with impact factor 3.927 (Clarivate analytics). https://doi.org/10.1016/j.measurement.2022.110760.
• Sherin shibi & R.Gayathri, 2022.”An Efficient Hardware Implementation of Hyperspectral Target Detection System using FPGA” accepted for publication in Journal of Scientific and Industrial Research (JSIR, Natl Inst Science Communication-Niscair, NIScPR-CSIR, India ISSN 0022-4456 / 0975-1084, JSIR Vol.81(02) [Feburary 2022], PP. 156-165, Science Citation Index Expanded with impact factor 1.05 (Clarivate analytics). URI: http://nopr.niscair.res.in/handle/123456789/59083
• Babitha Lincy R.B., Gayathri R. (2021),”Optimized Convolutional Neural Network for Tamil-Handwritten Character Recognition”,accepted for publication in “International Journal of Pattern Recognition and Artificial Intelligence” WORLD SCIENTIFIC PUBL CO PTE LTD, Singapore, Dec 2021,ISSN: 1793-6381 Science Citation Index Expanded with impact factor 1.55 (Clarivate analytics).
• Babitha Lincy R.B., Gayathri R. (2021), “Transfer Learning Based Handwritten Character Recognition of Tamil Script Using Inception-V3 Model”accepted for publication in “Journal of Intelligent & Fuzzy Systems” IOS PRESS, Netherlands,Dec 2021,ISSN 1875-8967, Science Citation Index Expanded with impact factor 1.74 (Clarivate analytics). DOI: 10.3233/JIFS-212378.
• Buvaneswari, P.R., Gayathri, R. “Detection and Classification of Alzheimer’s disease from cognitive impairment with resting-state fMRI”, published in Neural Computing and Applications., August 2021, Springer-Verlag London Ltd., part of Springer Nature 2021, Springer, Science Citation Index Expanded with impact factor 5.606 (Clarivate analytics). https://doi.org/10.1007/s00521-021-06436-2.
• Sherin shibi & R.Gayathri, “Onboard target detection in hyperspectral image based on deep learning with FPGA implementation”, published in Microprocessors and Microsystems, VOL. 85, JULY 2021., ISSN 0141-9331, Elsevier, Netherlands,Science Citation Index Expanded with impact factor 1.161 (Clarivate analytics). https://doi.org/10.1016/j.micpro.2021.104313 .
• Sherin shibi & R.Gayathri, “A methodology for unsupervised feature learning in hyperspectral imagery using deep belief network”, published in Current Science, VOL. 120, NO. 11, 10 JUNE 2021., ISSN 0011-3891,Science Citation Index Expanded with impact factor 1.1 (Clarivate analytics). doi: 10.18520/cs/v120/i11/1705-1711
• Sherin shibi & R.Gayathri, “Target Object Detection using Chicken Social-Based Deep Belief Network with Hyperspectral Imagery” IET Image processing (England).,USA, Volume 14, Issue 15, 15 December 2020, p. 3781 – 3790, https://doi.org/10.1049/iet-ipr.2020.0344 , Print ISSN 1751-9659, Online ISSN 1751-96., Science Citation Index Expanded with impact factor 2.6 (Clarivate analytics).
• Buvaneswari PR & R.Gayathri, “Deep learning based segmentation in classification of Alzheimer’s Disease” published in Arabian Journal for Science and Engineering., ISSN 1319-8025, Vol. 46, pages 5373-5383 (2021). Springer Heidelberg, Germany, https://doi.org/10.1007/s13369-020-05193-z , Science Citation Index Expanded with impact factor 2.53 (Clarivate analytics).
• Lincy R.B., Gayathri R. (2021) Off-Line Tamil Handwritten Character Recognition Based on Convolutional Neural Network with VGG16 and VGG19 Model. In: Komanapalli V.L.N., Sivakumaran N., Hampannavar S. (eds) Advances in Automation, Signal Processing, Instrumentation, and Control. Lecture Notes in Electrical Engineering, vol 700. Springer, Singapore. https://doi.org/10.1007/978-981-15-8221-9_180, ISBN 978-981-15-8220-2., pp. 1935-1945, March 2021.
• Babitha lincy & R.Gayathri,”Optimally Configured Convolutional Neural Network for Tamil Handwritten Character Recognition by improved Lion Optimization Model”, has been published in the Springer, Netherlands “Multimedia tools and applications, with ISSN 1380-7501, Science Citation Index Expanded with impact factor: 2.313 (Clarivate analytics), https://link.springer.com/article/10.1007/s11042-020-09771-z
• R. Srinath; & R, Gayathri, Detection and classification of electroencephalogram signals for epilepsy disease using machine learning methods, has been published in the International Journal of Imaging Systems and Technology. 2020, pp 1-12 With ISSN 0899-9457 / 1098-1098, Science Citation Index Expanded with impact factor 1.925 (Clarivate analytics). https://onlinelibrary.wiley.com/doi/abs/10.1002/ima.22486 Publications in Book Chapter:
• Lincy R.B., Gayathri R. (2021) Off-Line Tamil Handwritten Character Recognition Based on Convolutional Neural Network with VGG16 and VGG19 Model. In: Komanapalli V.L.N., Sivakumaran N., Hampannavar S. (eds) Advances in Automation, Signal Processing, Instrumentation, and Control. Lecture Notes in Electrical Engineering, vol 700. Springer, Singapore. https://doi.org/10.1007/978-981-15-8221-9_180 (book chapter)
• Buvaneswari PR & R.Gayathri, “Deep learning based segmentation in classification of Alzheimer’s Disease”has been accepted for publication in Arabian Journal for Science and Engineering., Science Citation Index Expanded with impact factor 1.7 (Clarivate analytics).
• Sherin shibi & R.Gayathri, “Target Object Detection using Chicken Social-Based Deep Belief Network with Hyperspectral Imagery” has been accepted for publication in IET Image processing (England)., Science Citation Index Expanded with impact factor 2.6 (Clarivate analytics).
• Babitha lincy & R.Gayathri,”Optimally Configured Convolutional Neural Network for Tamil Handwritten Character Recognition by improved Lion Optimization Model”, has been published in the Springer, “Multimedia tools and applications, with ISSN 1380-7501, Science Citation Index Expanded with impact factor: 2.313 (Clarivate analytics),
• R, Srinath; & R, Gayathri, Detection and classification of electroencephalogram signals for epilepsy disease using machine learning methods, has been published in the International Journal of Imaging Systems and Technology. 2020, pp 1-12 With ISSN 0899-9457 / 1098-1098, Science Citation Index Expanded with impact factor 1.925 (Clarivate analytics).
• Komathi B, Gayathri R, “Comparative Analysis of Support Vector Machine for Hyper spectral Image Classification”. International Journal of Innovative Research in Technology (IJITEE) ISSN: 2349-6002, pp. 133-139, Volume-7 Issue-1, June 2020.
• Akila G, Gayathri R, “Advances in Scene Classification of Remotely Sensed High Resolution Images and the Existing Datasets’, International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278-3075, pp. 1643-1647, Volume-8 Issue-10, August 2019. 133-139. (scopus indexed)
• Sheriff M, Gayathri R, “Attention Deficit Hyperactivity Disorder (Adhd) Detection Methods” , International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277 – 3878, pp. 242 – 244, Volume-8, Issue-2S5, July 2019. Scopus indexed.
• C. S. Shibi and R. Gayathri, “Performance Analysis of Hyperspectral Supervised Target Detection Algorithms,” 2019 Fifth International Conference on Science Technology Engineering and Mathematics (ICONSTEM), Chennai, India, 2019, pp. 511-515.doi:10.1109/ICONSTEM.2019.8918790. Publisher IEEE digital library.
• R, Srinath; & R, Gayathri. “A Survey on Epilepsy Detection and Classifications Using Automated Approaches”, International Journal of Engineering & Technology, [S.l.], volume. 7, no. 4.6, pp. 529-531, sep. 2018. ISSN 2227-524X.
• M.Kavitha & R.Gayathri, “Implications of Remote Sensing Data Analysis Using Deep Learning Techniques” , Journal of Computational and Theoretical Nanoscience, Volume 15, Numbers 9-10, September 2018, pp. 2857-2862.(scopus indexed)
• Babitha lincy & R.Gayathri, “A Survey on Handwritten Character Recognition Techniques for Tamil Language”, International Journal of Engineering & Technology, 7 (3.34) (2018) 975-979.
• Gayathri R, M. Anantha Bhairavi, D. Aravind, “An Intelligent and Real Time System for Automatic Driven Toll Gate System under Complex Scenes” International Journal of Computational Intelligence Research ISSN 0973-1873 Volume 14, Number 1 (2018), pp. 1-13, (IF 1.57), UGC listed journal.
• R.Gayathri, E.Roshith, “Implementation of Arduino based Enhanced Fingerprint Biometric System for Secured Data Exchange”, International Journal of Computational Intelligence Research, ISSN 0973-1873 Volume 13, Number 8 (2017), pp. 2113-2123.
• R.Gayathri, E.Roshith, B.Sanjana , S. Sanjeev Kumar , R.Shyamala, “Gesticulation Based Smart Surface with Enhanced Biometric Security using Raspberry Pi”, International Journal ofComputer Science Issues, Volume 14, Issue 5, September 2017 ISSN (Print): 1694-0814, https://doi.org/10.20943/01201705.5660. (UGC listed journal).
• Jose Nisha J and Gayathri R “Multifeature Biometric Based Authentication System(MBBAS)” International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), Volume 6, Issue 3, May- June 2017.
• Jose Nisha J and Gayathri R, “Multifeature Biometric Based Authentication System” International Journal of Innovative Research in Computer and Communication Engineering, Vol. 5, Special Issue 3, April 2017.
• R.Gayathri, P.Ramamoorthy, “Performance Evaluation of Multimodal Multifeature Authentication System Using KNN Classification”, The Scientific World Journal, Vol.2015, Article ID 762341, 9 pages, 2015. doi: 10.1155/2015/762341. Annexure I, Impact Factor: 1.73, ISSN 1537-744X.
• R.Gayathri, M. Senthilkumar, “Personal Authentication Using Multifeature Multispectral Palmprint Traits”, The Scientific World Journal, Vol. 2015, Article ID 861629, 11 pages, 2015. doi:10.1155/2015/861629. Annexure I, Impact Factor: 1.73,ISSN 1537-744X.
• R.Gayathri, V.Saranya and S.Dhivya., “A Novel Approach for Fusion of Panchromatic and Multispectral Image Through Neural Network”, ARPN Journal of Engineering and Applied Sciences, Vol. 10, (14), pp. 5788- 5794, 2015. ISSN 1819-6608, Annexure II.
• R.Gayathri, S.Dhivya and V.Saranya.,”A Novel Personal Authentication Using Knuckle Multispectral Pattern”, ARPN Journal of Engineering and Applied Sciences, Vol. 10,(14), pp. 5990-5998, 2015, ISSN 1819-6608, Annexure ?II.
• R.Gayahri, L.Jayalakshmi, K.Mahalakshmi and K.S.Nevethitha , “Multispectral Palmprint Recognition Using Ant Colony Optimization”, ARPN Journal of Engineering and Applied Sciences, Vol. 10, (14), pp. 5934-5940, 2015, ISSN 1819-6608, Annexure ?II.
• S.Bhuvaneswari, R.Gayathri, and A.Mariya Princy, “Multifeature Human Authentication Using Score Level Fusion of Ear and Helix”, International Journal of Engineering Research and Technology, Vol. 4, (14), pp. 15-18.
• A.Mariya Princy, R.Gayathri & S.Bhuvaneswari,”Online Palmprint Authentication using Multifeature Fusion”, International Journal of Engineering Research and Technology, Vol. 4, (14), pp. 85-88.
• Gayathri.R “Multi Feature Fusion Recognition Using Multiple Parallel Support Vector Machine”, International Journal of Computer Science Issues, ISSN 1694-0184, Vol. 11 (2), pp. 197-203, 2014, Impact Factor:0.243, index: arXiv.org.
• Gayathri ” Artificial Bee Colony Based Multifeature Recognition”, International Journal of Computer Science Issues, ISSN 1694-0184, Vol.11 (2), pp. 152-159, 2014, Impact Factor:0.243, index: arXiv.org.
• R.Gayathri”CLBP for Retinal Vascular Occlusion Detection”, International Journal of Computer Science Issues, ISSN 1694-0184, Vol.11 (2), pp. 204-209, 2014, Impact Factor:0.243, index: arXiv.org.
• M.Senthil Kumar and R.Gayathri, “Robust Palm Vein Recognition Using LMKNCN Classification” International Journal of Engineering Research and Application, ISSN : 2248-9622, Vol. 4, Issue 1( Version 1), 2014, pp.221-226
• S.Malini and R.Gayathri, LBPV for Newborn Personal Recognition System, International Journal of Engineering Research and Application, ISSN : 2248-9622, Vol. 3, Issue 6, 2013, pp.2076-2081.
• E.Vidhyajyothi and R.Gayathri, FCM for Malignant Detection in Mammogram,International Journal of Engineering Research and Application, ISSN : 2248-9622, Vol. 4, Issue 1( Version 2), January 2014, pp.375-381.
• R.Gayathri and P.Ramamoorthy, Palmprint recognition using feature level fusion, Journal of Computer Science, ISSN 1546 – 3636. DOI: 10.3844/jcssp.2012.1049.1061, Vol.8, No.7, pp.1049-1061, 2012. Index: Scopus, Impact Factor:1.233
• R.Gayathri and P.Ramamoorthy, Automatic personal identification using feature similarity index matching, American Journal of Applied Sciences, DOI: 10.3844/ajassp.2012.678.685. ISSN 1546-9239, Vol.9, No.5, pp.678-685, 2012. Index: Scopus, Impact Factor: 0.906.
• R.Gayathri and P.Ramamoorthy, Automatic Palmprint Identification based on High Order Zernike Moment, American Journal of Applied Sciences ISSN 1546 – 9239. DOI: 10.3844/ajassp. 2012.759.765, Vol. 9, No.5, pp.759-765, 2012. Index: Scopus, Impact Factor: 0.906.
• R.Gayathri and P.Ramamoorthy, A Fingerprint and Palmprint Recognition Approach Based on Multiple Feature Extraction, European Journal of Scientific Research. ISSN 1450-216X, Vol.76, No.4, pp.514-526, 2012. Index: Scopus, Impact Factor:0.493.
• R.Gayathri and P.Ramamoorthy, Feature Fusion of Palmprint and Face Biometrics, European Journal of Scientific Research, ISSN 1450-216X, Vol.77, No.4, pp. 457-470, 2012. Index: Scopus, Impact Factor:0.493.
• R.Gayathri and P.Ramamoorthy, Feature Level Fusion of Palmprint and Iris, International Journal of Computer Science Issues, ISSN 1694-0184, Vol.9, No.4, 194-203, 2012. Index: Elsevier, Impact Factor:0.243.
• R.Gayathri and P.Ramamoorthy, Multifeature Palmprint Recognition Using Feature Level Fusion, International Journal of Engineering Research and Application, ISSN: 2248-9622, Vol.2, No.2, pp.1048-1054, 2012. Index Copernicus.
• R.Gayathri and P.Ramamoorthy, Performance Evaluation of Multimodal Biometric System uses Fusion of Iris and Face, CiiT International Journal of Digital Image Processing.Vol.3,No.7, pp.401-405, 2011.Impact Factor: 0.656.
• R.Gayathri and H.Anandkumar Singh, Image Authentication Technique using FSIM Algorithm, International Journal of Engineering Research and Application. Vol.2, Issue2, Mar-Apr, pp.1048-1054, 2012.ISSN:2248-9622. Index Copernicus.
• R.Gayathri, and Ramamoorthy, P. A Feature Fusion Based Multimodal Biometric Authentication System Wulfenia Journal, ISSN 1561-882X, Vol.20, No.1, pp.314-323, 2013.
• R.Gayathri and Deepthi High speed Computer Networks with Cyber Protection Using FPGA in International Journal of Computer Science and Knowledge Engineering(IJCSKE) Vol. 3,No. 1 pp 173 -176,June 2009.
• International and National Conference:
• Jose Nisha J and Gayathri R “Human Authentication using Score Level Fusion of Palm Vein and Palm Print Image”, Proceeding s of 2nd international conference on Innovative and Emerging Trends in Engineering and Technology, , May 2017.
• A.Mariya Princy, R.Gayathri and S.Bhuvaneswari, “Human authentication using Multispectral Pattern”, Proceedings of 2 nd IEEE international conference on Human Computer Interactions(ICHCI’16),March 2016, pp. 419-423.
• S.Bhuvaneswari, R.Gayathri, and A.Mariya Princy, “Score Level Fusion of Ear Using Distinctive Image Feature”, Proceedings of 2 nd IEEE international conference on Human Computer Interactions (ICHCI’16), March 2016,pp. 393-400.
• S.Malini and R.Gayathri, Online Newborn Personal Authentication System, in Proc. of the National Conference on Electro Virtuosos- 2k14, pp. 166-170, 2014.
• E.Vidhyajyothi and R.Gayathri, Malignant Tumor Detection Using Clustering Methods in Mammograms, in Proc. of the National Conference on Electro Virtuosos- 2k14, pp. 44-46, 2014.
• R.Gayathri and V.Ramya, Multimodal feature Fusion using Gabor wavelet and artificial Neural Network Classification for Palm Print Authentication in International Conference on Computing and Control Engineering ICCCE-2012. pp 159 April 2012.ISBN 978-1-4675-2246-590000.
• R.Gayathri and K.V.Kumar Biometric Recognition Using Zernike Moment. in International Conference on Emerging Engineering trends. (IJCEET) pp 390 – 392, March 2012. ISBN: 978-81-923833-0-9.
• R.Gayathri and P.Ramamoorthy. Multimodal Authentication Biometric Fusion of Iris and Face, in Proc. of the International Conference on smart technologies for materials, communication, control, computing and energy (ICST – 2011) Vol. 3, No. 1, pp. 299-303, 2011. ISBN: 978-81-8424-650-6.
• R.Gayathri and P.Ramamoorthy. Performance evaluation on Multimodal Biometric Based User Identification System, in Proc. of the International Conference on Computer Communication and Informatics(ICCCI – 2011) Vol. 2, No. 1, pp. 307-311, 2011. ISBN: 978-1-4507-5679-260000.
• R.Gayathri and P.Ramamoorthy. An Introduction to Multimodal Biometrics, in Proc. Of the National Conference on NCCCES11, Vol. 4, No.1, pp. 107-112, 2011. ISBN : 978-93-80624-41-9.
• R.Gayathri and Suganthy, M. Efficient Iris Recognition Based on Improvement of Feature Extraction, in Proc. of the National Conference on NCCCES11, Vol. 4, No.1 pp. 113-117, 2011.ISBN: 978-93-80624-41-9.
• R.Gayathri and R.Venkata subbarao VLSI implementation of evolved Primitive operator based image Processing system in Proc. of the National conference (NCACS-2009) pp 161-165, June 2009.
• R.Gayathri and K.Porchezian Analysis and applications of soliton collisions National Laser symposium at Centre for Advanced Technology Dec 2001. This was held at Indore.
• R.Gayathri Optical Ring Network based on soliton interaction in National Conference on Photonics during March 2001 which was held at Pondicherry University, Pondicherry.

Conference

• Sherin shibi & R.Gayathri, “Analysis of Superpixel Segmentation Techniques in Hyperspectral Imagery” was presented in the AICTE sponsored International Conference on “Smart Materials & Emerging Technologies for Industry 4.0” organized by Sri Venkateswara College of Engineering, pennalur on 16th and 17th October, 2020.
• Babitha lincy & R.Gayathri,”A High Performance Handwritten Character Recognition System Using Alex-Net Based On CNN for Tamil Language” was presented in the AICTE sponsored International Conference on “Smart Materials & Emerging Technologies for Industry 4.0” organized by Sri Venkateswara College of Engineering, pennalur on 16th and 17th October, 2020.
• Akila G, Gayathri R”Scene Classification of Remotely sensed imagery using CNN” was presented in the AICTE sponsored International Conference on “Smart Materials & Emerging Technologies for Industry 4.0” organized by Sri Venkateswara College of Engineering, pennalur on 16th and 17th October, 2020.
• Mehzabeen S M & Gayathri R,”Flood Inundation mapping extent using satellite images :A review” was presented in the AICTE sponsored International Conference on “Smart Materials & Emerging Technologies for Industry 4.0” organized by Sri Venkateswara College of Engineering, pennalur on 16th and 17th October, 2020.
• Kavitha M & Gayathri R, “Hyperspectral Image Classification with SVM and Edge-Preserving Smoothing Technique Filter” was presented in the AICTE sponsored International Conference on “Smart Materials & Emerging Technologies for Industry 4.0” organized by Sri Venkateswara College of Engineering, pennalur on 16th and 17th October, 2020.
• R.Gayathri,R.Babitha Lincy “Off-line Tamil handwritten character recognition based on Convolutional Neural Network with VGG16 and VGG19 model” International Conference on Automation, Signal Processing, Instrumentation and Control-iCASIC-2020 (February 27-28, 2020), Vellore Institute of Technology, Vellore.
• Sherin shibi & R.Gayathri,”Hyperspectral target detection using Gram-Schmidt Orthogonal Projections” International conference on Recent Trends in computing communication and networking technologies, 18,19 October (2019). Elseiver.
• Sherin shibi & R.Gayathri,”Performance Analysis of Hyperspectral Supervised Target Detection Algorithms” 5th IEEE International Conference on science technology engineering & mathematics probing Artificial Intelligence Techniques and Research in IOT(Patriot) 2019, Jeppiar Engineering College. 14 & 15th March 2019. IEEE.
• Babitha lincy & R.Gayathri,”A Survey on Handwritten Character Recognition Techniques for Tamil Language” SITAMS International Conference on Innovations in Engineering, Technology and Sciences SICIETS 2018, Sreenivasa Institute of Technology and Management Studies, Chittoor, Andhra Pradesh. 28-29 October 2018.
• Babitha lincy & R.Gayathri, “Handwritten Recognition for Tamil Language: Overview, Challenges and Future”, International conference on Recent Trends in computing communication and networking technologies, 18,19 October (2019).

Workshop organized:

• Organized one week International Short-Term Training Programme on “Emerging Trends and Research Challenges in Deep Learning Applications” from 1.02.2022 to 26.02.2022
• Organized three-day national level workshop on “Centroid of Engineering in AI and ML” at SVCE from 12.8.2021 to 14.8.2021.
• Organized a Webinar on “Facts of Weather Radar Applications” on 15/6/2021 at SVCE.
• Organized a Webinar on “Machine Learning and Signal Processing (MLSP) in Applied Engineering and Technology” on 14/6/2020 at SVCE.
• Organized five days Hands-On International Short Term Training Program on “Deep Learning Applications”. from Nov 19 to Nov 23 2020 at SVCE.
• Organized five days Faculty Development Program on “Machine Learning and its Applications” from Oct 21 to Oct 25 2020 at SVCE.
• Organized a Webinar on 5G Communication and its Research Perspective” on 7/9/2020 at SVCE.
• Organized two days workshop on “Machine Learning in Computer Vision Applications” from May 12 to May 13 2020 at SVCE.
• Organized a National level workshop on “Hands-on Workshop on Thingworx IIOT” on 16th December 2019 at Sri Venkateswara College of Engineering.
• Organized a national workshop on “Implementation of Image Processing Techniques using OpenCV – Research Perspective” on 29th April 2019. Mr. A.P.Sanjay Kumar, Developer, R&D Department, Pantech Solutions Pvt. Ltd addressed the gathering
• Organized one day workshop on “VLSI Design Tools” on 10th March 2018 at Sri Venkateswara College of Engineering.
• Organized a two days workshop on “System Modeling, Simulation and Implementation using MATLAB and OrCAD” from 13.3.2017 to 14.3.2017 at Sri Venkateswara College of Engineering.
• Organized a two days workshop on “Recent Trends in Image Processing and Applications” from 2.12.2014 to 3.12.2014 at Sri Venkateswara College of Engineering.
• Organized a National Level Annual Technical Symposium Upagraha’17 on 27th September 2017.
• Organized a National Level Annual Technical Symposium Upagraha’16 on 27th August 2016.
• Organized a National Level Annual Technical Symposium Upagraha’15 on 28th August 2015.
• Organized a two days Workshop on “Advances in Image Processing & its Applications”, March 18-19, 2016. The program was inaugurated by Dr.G.Sainarayanan, Senior Technical Specialist (Imaging), HCL Technologies Ltd,Chennai. He gave a talk on “Challenges and Directions on Implementing Image Processing in Products”
• Organized one day workshop on “Hands-on Training using MATLAB” on 1 st April 2016. The program was inaugurated by Mr. Anand kumar Singh H, Project Manager(R&D Division), LED READY SOLAR Pvt. Ltd Chennai. He gave a talk on”Challenges and Issues in Image Processing”.
• Organized Workshop titled Recent trends in image processing and its application during 3 to 4, December 2014at Sri Venkateswara College of Engineering.

Attended Workshop & Faculty Development Program:

• Participated in the National Workshop on “Artificial Intelligence in software fault prediction” held at, SRM University from 26/10/2021 to 29/10/2021.
• Attended an AICTE sponsored STTP in “Implementation of Medical Image Processing using Advanced Green Computing Technology” at Saveetha Engineering college, during 14/12/2020 to 19/12/2020.
• Participated in a Webinar on Data Visualization Using Tableau, conducted by Brain swig Edutech Pvt Ltd, Chennai on 27.04.2020.
• Participated and acted as an Organizing Committee Member at the “International Conference on Science Engineering and Supply Chain Management”, conducted by IFERP, held during 22nd and 23rd November 2019 held at Chennai.
• Participated in a National Workshop on “Industry 4.0” organised by IQA cell, during 29/08/2019 to 31/09/2019 at at Sri Venkateswara College of Engineering.
• Participated in a National level workshop on “Hands-on Workshop on Thingworx IIOT” on 16th December 2019 at Sri Venkateswara College of Engineering.
• Participated and presented a paper titled “Handwritten Recognition for Tamil Language: Overview, Challenges and Future” in Elsevier International Conference on Recent Trends in Computing, Communication and Networking Technologies, from 18/10/2019 to 19/10/2019 at Kings Engineering College.
• Participated and presented a paper titled “Hyperspectral target detection using Gram-Schmidt Orthogonal Projections” in Elsevier International Conference on Recent Trends in Computing, Communication and Networking Technologies, from 18/10/2019 to 19/10/2019 at Kings Engineering College.
• Participated and presented a paper titled in IEEE International Conference on science technology engineering & mathematics probing Artificial Intelligence Techniques and Research in IOT(Patriot) from 14/03/2019 to 15/03/2019 at Jeppiar Engineering College.
• Attended Anna University sponsored FDTP on Cognitive Radio during 06/05/2019 to 11/05/2019 at Velammal Engineering College.
• Participated in two days workshop on Academic Research Summit 2019 on Data Science and AI. During 24.1.2019 and 25.1.2019 at IIT Madras.
• Participated in curious program conducted by IITM’s HTIC Med Tech Incubator at IIT Madras Research Park, Chennai, during 14/9/2018 and 15/9/2018.
• Completed training course in Vertical Integration Course for trainers at Maritime Foundation, Chennai during 29/1/2019 to 8/2/2019.
• Attended TNSCST sponsored state level two-day workshop on “Change your life with IoT-The revolution of the Internet” organized by the department of Information and Technology, SVCE from 10/08/2017 & 11/08/2017.
• Attended a technical seminar “Embedded safety and security”, by LDRA Academic Alliance Program at Hotel Le Royal Meridian, Chennai on 25/10/2017.
• Attended a national level Inaugural Conference on Leveraging Research for Entrepreneurship Development & Innovation, Innovation 2017 by Entrepreneurship Development and Innovation Institute, Government of Tamilnadu and Institute for Financial Management and Research at Hotel Le Royal Meridian, Chennai on 7/9/2017.
• Attended two days national level workshop on “Image Processing and machine perception” on 19th to 21st June 2017, organized by the department of Electronics and Communication Engineering, Alpha College of Engineering.
• Attended TNSCST sponsored state level two day workshop on “Change your life with IoT-The revolution of the Internet” organized by the department of Information and Technology, SVCE from 10/08/2017 & 11/08/2017.
• Attended three days national level Faculty development program on “Internet on Things” during 7th to 9th December 2017. conducted by ResPro Labs collaboration with Rajalakshmi Institute of Technology.
• Attended a technical seminar “Embedded safety and security”, by LDRA Academic Alliance Program at Hotel Le Royal Meridian, Chennai on 25/10/2017.
• Attended a national level Inaugural Conference on Leveraging Research for Entrepreneurship Development & Innovation, Innovation 2017 by Entrepreneurship Development and Innovation Institute, Government of Tamilnadu and Institute for Financial Management and Research at Hotel Le Royal Meridian, Chennai on 7/9/2017.
• Attended a Faculty Development Program on a two day national level workshop on “research methodology” on 21st and 22nd December 2016, at Meenakshi College of Engineering, Chennai.
• Attended two day National workshop on “Advancements in Biomedical Image and Signal Processing” at Madras Institute of Technology, Chrompet, 29-30 Nov.2015.
• Attended one day workshop on “Audio and Image Signal Processing Using MATLAB” at Sri venkateswara college of Engineering, April 25, 2016.
• Attended a Faculty Development Program on “Tools for optical and microwave communication” from 26.9.2013 to 28.9.2013, at Sri Venkateswara College of Engineering.
• Attended a NPTEL Workshop on 10.8.2013 at Sri Venkateswara College of Engineering.
• Attended a Faculty Development Program on “Teaching Methodologies” from 20.6.2011 to 27.6.2011, at Vel Tech Engineering College.
• Attended a National workshop on “Advanced Programming technique in Low Power VLSI using VHDL” at Vel Tech high tech engineering college during September 2010.
• Attended a National workshop on “Recent trends in communication” at Vel Tech High Tech Engineering College during February 2010.
• Attended a National workshop on “Biometrics and Non linear Filters” at Anna University during February 2009.
• Attended a National workshop on “Embedded RTOS and Wireless Sensor Networks” at Anna University during March 2009.
• Attended a Workshop on “Signal Processing” by Crane software at Hindustan Engineering College, Padur Chennai during April 2003.

LECTURE DELIVERED

• Dr. R. Gayathri, Professor, delivered an expert lecture on “Recent Innovation and Advances in Optical Network” at St.Peter’s College of Engineering and Technology on 04.10.24.
• Dr. R. Gayathri, Professor Served as an external examiner for PhD dissertation defenses, evaluating research work and oral presentations in Bharath Institute of Higher Education and Research, Chennai- 600 073 on 8.08.2024. 
• Dr. R. Gayathri, Professor, delivered an expert lecture on “Deep Learning in Alzheimer’s Disease: Diagnostic Classification and Prognostic Prediction using Neuroimaging Data” on May 30, 2024, in the five-day International Short-Term Training Program [STTP] on “Advanced Approaches and Insights on Signal Processing in Health Care” organized by the Department of Electronics and Communication Engineering, Sri Venkateswara College of Engineering from 27/05/2024 to 31/05/2024.
•  Dr. R.Gayathri, Professor, delivered an expert lecture on “Onboard target detection in hyperspectral image based on deep learning with FPGA implementation” on 29.5.2024 in a one month value-added course on the 7-day FDP on Synergizing VLSI Design with Artificial Intelligence and Machine Learning Techniques organized by the Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, Ramapuram. from 27/05/2024 to 03/06/2024.
• Dr. R.Gayathri, Professor, delivered an expert lecture on “Biometric authentication and its applications- Biometric characteristics and its identifiers, Multimodal biometric authentication, Palm print recognition system,Government, Forensic and commercial applications”, in one month value added course on VD 18702-Signal Processing using Simulation Tool organized by the Department of Electronics and Communication Engineering, Sri Venkateswara College of Engineering from 31.01.2024 to 06.02.2024.
• Dr. R.Gayathri, Professor, Chaired a session titled “Signal Processing” in the National Conference on Signal Processing Communication and Networking (NCSPCN-2024) on 16.4.2024.
• Dr. R.Gayathri, Professor, Chaired a session in the International Conference on Intelligent Computing and Next Generation Wireless Networks organized by the EUROPEAN AL IANCE FOR INNOVATION with Department of Electronics and Communication Engineering, Sri Venkateswara College of Engineering, Sriperumbudur, Tamil Nadu, India, during 19th & 20th October 2023.
• Dr. R.Gayathri, Professor, delivered an expert lecture on “Introduction to Deep Learning Methods and Applications”, in three days Faculty Development Program on “Deep Learning Techniques for Image Analysis – Hands on Session” organized by the Department of Electronics and Communication Engineering, Sri Venkateswara College of Engineering from 03.10.2023 to 05.10.2023.
• Dr. R.Gayathri, Professor, Chaired a session titled “Signal Processing” in the National Conference on Signal Processing Communication and Networking (NCSPCN-2023) on 9.5.2023.
• Dr. R.Gayathri, Professor, Chaired a Paper presentation session at the BIOFEST Technical event held at Kings Engineering College, irrunkattukotai on 18/04/2023.
• Dr. R.Gayathri, Professor, delivered an expert lecture on “Automatic Detection of Alzheimers disease using Deep Learning Models and Neuro Imaging”  in the Advanced Approaches and Insights on Artificial Intelligence and Deep Learning in Health Care” on 30.03.2023 held from 27.03.2023 to 31.03.2023  held at SVCE.
• Dr. R.Gayathri, Associate Professor, delivered an expert lecture on “Applications of Deep Learning to Neuroimage techniques” in the one-week Faculty Development Program on Applications of Machine Learning and Deep Learning using MATLAB held at Vel Tech Multitech on 2nd August 2022.
• Dr. R.Gayathri, Associate Professor, delivered an expert lecture on “Hardware Architectures for Machine Learning Algorithm”, in the DRDO Sponsored Two Days National Workshop held at Saveetha School of Engineering, Thandalam on28/4/2022
• Dr. R.Gayathri, Associate Professor, delivered an expert lecture on “Deep Learning Research Methodologies and Applications”, in the International Short Term Training Program on Emerging Trends and Research Challenges in Deep Learning Application at SVCE on 23.2.2022 held from 21/2/2022 to 26/2/2022. 
• Dr. R.Gayathri, Associate Professor, Chaired a session titled “Computing” in the International conference “Advanced communication Computing and Material Sciences” held at Saveetha School of Engineering, Thandalam on 24/2/2022, with ISBN number: 9788196314323
• Dr. R.Gayathri, Associate Professor, delivered an expert lecture on “Hardware Architectures for Machine Learning Algorithm”, in the DRDO Sponsored Two Days National Workshop held at Saveetha School of Engineering, Thandalam on28/4/2022
• Dr. R.Gayathri, Associate Professor, delivered an expert lecture on “Deep Learning Research Methodologies and Applications”, in the International Short Term Training Program on Emerging Trends and Research Challenges in Deep Learning Application held at Saveetha School of Engineering, Thandalam on 24/2/2022
• Dr. R.Gayathri, Associate Professor, delivered an expert lecture on “Deep Learning Research Methodologies and Applications”, in the International Short Term Training Program on Emerging Trends and Research Challenges in Deep Learning Application at SVCE on 23.2.2022 held from 21/2/2022 to 26/2/2022.
• Dr. R.Gayathri, Associate Professor, Chaired a session titled “Computing” in the International conference “Advanced communication Computing and Material Sciences” held at Saveetha School of Engineering, Thandalam on 24/2/2022.
• Dr. R.Gayathri, Associate Professor, delivered an expert lecture on “Deep Learning Approach for Medical Image Analysis”, in the ECE department held on 23/2//2022 at Saveetha School of Engineering, Thandalam on 23/2/2022.
• Dr. R.Gayathri, Associate Professor, delivered an expert lecture on “CAD for VLSI Design”, in the Faculty development training program Digital VLSI Design held on 2.02.2022 at Sri Venkateswara College of Engineering.
• Dr. R.Gayathri, Associate Professor, served as a resource person in Anna university sponsored Faculty development training program on “Machine Learning Techniques” in a FDTP held on 8.06.2021 at Sairam Engineering College.
• Dr. R.Gayathri, Associate Professor, delivered an expert Lecture on “Human Authentication using Score Level Fusion of Multimodal Biometric Authentication” in a 1-week Value added courses on “Signal Processing using Simulation tool (VD18702)” for SVCE on 21/7/2021.
• Dr. R.Gayathri, Served as Technical Session Chair in AICTE sponsored “International Conference on Research Innovation Science and Technology” Organized by Kings Engineering College 1-2, March, 2021.
• Dr. R.Gayathri, Associate Professor, delivered an expert Lecture on “Low Level Multispectral Palmprint Image Fusion” in a workshop held on 24.02.2021 at SRMIST.
• Dr. R.Gayathri, Associate Professor, served as Technical Session Chair in AICTE sponsored “International Conference on Smart Materials & Emerging Technologies for Industry 4.0 (SMIET-2020)” Organized by sri venkateswara College of Engineering during 16-17, October, 2020.
• Dr. R.Gayathri, Associate Professor, delivered an expert Lecture on “Large-scale evaluation of multimodal biometric authentication using state-of-the-art systems” in a 1-week Value added courses on “Signal Processing using Simulation tool (VD18702)” from 19.05.2020 to 5.10.2020 for SVCE on 10/10/2020.
• Dr. R.Gayathri, Associate Professor, delivered an expert Lecture on “Role of Machine learning in computer vision” in a 1-week FDP on Faculty Development Programme on ” Machine Learning for Signal Processing ” from 19.05.2020 to 23.05.2020 for SVCE on 23/05/2020.
• Dr. R.Gayathri, Associate Professor, delivered an expert Lecture on “Machine learning techniques for computer vision” in a four-day faculty development programme on “Machine Learning for Signal Processing & VLSI” scheduled from 05th to 08th June 2020 for Anurag University, Hyderabad on 06/06/2020.
• Delivered a research presentation entitled “Analysis of Target Detection Algorithms in Remotely Sensed Hyperspectral Images” in the faculty research day held on 26th April 2018.
• Acted as a resource person for a session and delivered a technical talk on ” Introduction to Artificial Neural Network and Fuzzy” in a 5 days FDP on ” Soft computing techniques and their applications” during June 10 to June 14, 2019.
• Delivered a research presentation entitled “A Deep Collaborative Computing for Anomaly Detection in Hyperspectral Images” in the faculty research day held on 26th April 2018.
• Delivered a technical talk on “Multimodal Biometric System Based Authentication” in Electronics and Communication association inaugural function conducted by the department of ECE, Indra Institute of Technology on 17.9.2017.
• Served as Technical Session Chair in the National Level Technical Symposium ZENISTA 2017 conducted by the Electronics and Communication Engineering, Sai Ram Engineering College on 9th August, 2017.
• Delivered a technical talk on “Introduction to Processor” in Anna University approved seven days FDTP on Embedded and Real Time Systems organized by the department of Electronics and Communication Engineering, SVCE from 13/6/2017 to 21/06/2017.
• Delivered a technical talk on “Digital Signal Processing” in a faculty development program conducted by the Electronics and Communication Engineering, DMI College of engineering on 22.6.2017.
• Served as Technical Session Chair and delivered key note address in the International Conference on Automation, Robotics and Mechatronics organized by Department of Mechatronics Engineering, SRM University during 05 & 06 May, 2017.
• Delivered a research presentation entitled “Multispectral Palmprint Authentication System” in the faculty research day held on 17th April 2015.
• Delivered a lecture on a topic “Texture Analysis and Pattern Classifications”on 17.6.2016 at SRM University, Chennai.
• Delivered a lecture on a topic “Optical Communication and Networking” on 25.9.2015 at Loyola

Lecture Delivered:

• Dr. R.Gayathri, Associate Professor, delivered an expert lecture on “Applications of Deep Learning to Neuroimage techniques” in the one-week Faculty Development Program on Applications of Machine Learning and Deep Learning using MATLAB held at Vel Tech Multitech on 2nd August 2022

• ISO-PO In-charge, Professional Activities (Faculty & Staff) coordinator -1
• Function and Video hall In-charge, Teaching Aids In-charge, Module Coordinator

Achievements:

• The best paper Award achieved for the paper titled, “Efficient Bilinear Pooling for Remote Sensing Image Categorization” was presented at the Research day ” organized by Sri Venkateswara College of Engineering held on July 5th, 2024.
• Saambavi PU, Lathikaa Shri , Koushika Devi  and . R. Gayathri, received the best paper award for the paper titled “Robust Plastic Debris Detection in Maritime Environments using Convolutional Neural Network”, of the National Conference on Signal Processing, Communication and Networking (NCSPCN-24) April 16, 2024 held at Sri Venkateswara College of Engineering.
• Kavya s, Mahisha P, Nisha Dharshini N,  R Gayathri, received the best paper award for the paper titled “Bone Cancer Detection: Enhancing Early Diagnosis and Treatment Through Advanced Computational Techniques”, Proceedings of the National Conference on Signal Processing, Communication and Networking (NCSPCN-24) April 16, 2024.held at Sri Venkateswara College of Engineering.
• Nivetha P, Pooja varadarajan, Keerthana D, R.Gayathri, received the best paper award for the paper titled,  “Neuro-Bionic Prosthetic Hand Control Using EEG”. Proceedings of the National Conference on Signal Processing, Communication and Networking (NCSPCN-24) April 16, 2024.held at Sri Venkateswara College of Engineering.
• J.Buvana, Dr.R.Gayathri, S.Rajalakshmi received the best paper award and won the second place for the paper titled, “A Survey of Consensus Protocols In Permissioned and Permissionless Blockchain Network”, Proceedings of the National Conference on Signal Processing, Communication and Networking (NCSPCN-24) April 16, 2024.held at Sri Venkateswara College of Engineering.
• Dr.R.Gayathri Professor, ECE  acted as Program Advisory Committee (Academic audit) on 27-2-2024 at Saveetha Engineering College.
• Best Paper Award achieved for the paper titled, “Tamil Handwritten Character Recognition” was presented at the Research day” organized by Sri Venkateswara College of Engineering held on June 15th, 2022.
• Best Paper Award achieved for the paper titled, “Joint Spectral-Spatial Feature Using Deep 3-D CNN for Hyperspectral Images” was presented at the IEEE International Conference on “Electronic System and Intelligent Computing” organized by Vel Tech University held on April 22nd and 23rd 2022.
• Best Paper Award achieved for the paper titled, “A High-Performance Handwritten Character Recognition System Using Alex-Net Based On CNN for the Tamil Language” was presented in the AICTE-sponsored International Conference on “Smart Materials & Emerging Technologies for Industry 4.0” organized by Sri Venkateswara College of Engineering, pennalur on 16th and 17th October 2020.
• Exceptional contribution as a Primary Evaluator in “Toycathon 2021” from Ministry of Education, India
• Dr.R.Gayathri, Associate Professor/ECE received Global Teacher Award 2021 from AKS Education Awards.
• Dr.R.Gayathri, Associate Professor/ECE received the “International Best Researcher Award 2022” title awarded by ISSN and World Research Council & Times of Research.
• Dr.R.Gayathri, Associate Professor/EC honoured as Editorial board member of the International Journal of Computer Science from 13 may 2022.
• Dr.R.Gayathri, Associate Professor/EC honoured as Academic Editor of “Asian Journal of Research in Computer Science” during September 2018 – 2022.
• Dr.R.Gayathri, Associate Professor/EC honoured as Academic Editor of “DECENT Journals” of brisbane, Queensland, Australia.
• Serving as Member, Board of Studies, Electronics and Communication Engineering Department, SVCE (Autonomous).
• Served as Member, Board of Studies, Electronics and Communication Engineering Department, Vel Tech University.
• Best academic achievement in terms of 100 % pass percentage in Advanced digital image processing subject “CERTIFICATE OF APPRECIATION” during 2018.
• Best academic achievement in terms of 100 % pass percentage in DSP Integrated Circuits subject “CERTIFICATE OF APPRECIATION” during 2017.
• Best academic achievement in terms of 100 % pass percentage in CAD for VLSI circuits subject “CERTIFICATE OF APPRECIATION” during 2017.
• Received best performance award for the year 2003-2004 for securing best performance results in signals and system in vel tech engineering college.
• Best Paper Award achieved for the paper titled,”A High Performance Handwritten Character Recognition System Using Alex-Net Based On CNN for Tamil Language” was presented in the AICTE sponsored International Conference on “Smart Materials & Emerging Technologies for Industry 4.0” organized by Sri Venkateswara College of Engineering, pennalur on 16th and 17th October, 2020.