OUR FACULTY

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Dr.F.Sangeetha Francelin Vinnarasi

Professor

Staff Name Dr.F.Sangeetha Francelin Vinnarasi
Designation Professor
Date of Birth 16/05/1982
Educational Qualification M.Tech.,Ph.D
Specialization VANET, Machine Learning
Years of Experience 18 Years 5 Months
Area of Research
  • VANET
No of Student’s Project Guided
  • UG – 50
  • PG – 08
Publication Details International Journal
  • • M. Sasikumar, P. Jesu Jayarin and F. Sangeetha FrancelinVinnarasi, ” A Hierarchical Optimized Resource Utilization based Content Placement (HORCP) model for cloud Content Delivery Networks (CDNs)”, Journal of Cloud Computing: Advances, Systems and Applications. https://doi.org/10.1186/s13677-023-00519-2, 2023.
  • Sangeetha Francelin Vinnarasi Francis, Prabaharan Gopi, Velliangiri Sarveshwaran &AjithaPonnupillai,” An Intelligent System Using Deep Learning-Based Link Quality Prediction and Optimization Enabled Secure Communication in UAV Network”. Cybernetics and Systems. https://doi.org/10.1080/01969722.2022.2151189, 2022.
  • Daniel, J., Anita Rose, J.T., FrancelinVinnarasi, F.S. “Fuzzy optimization based detection of attacker nodes in wireless networks using deep neural network”, Concurrency and Computation: Practice and Experience https://doi.org/10.1002/cpe.7248,2022.
  • Sangeetha Francelin, V.F., Daniel, J., Velliangiri, S. “Intelligent agent and optimization-based deep residual network to secure communication in UAV network”.
  • Daniel, J., Rose, J.T.A., Vinnarasi, F.S.F., Rajinikanth, V.,” VGG-UNet/VGGSegNet Supported Automatic Segmentation of Endoplasmic Reticulum Network in Fluorescence Microscopy Images”, https://doi.org/10.1155/2022/7733860, 2022.
  • Daniel, Jesline; Francis, Sangeetha FrancelinVinnarasi ,Velliangiri, S.,”Cluster head selection in wireless sensor network using tunicate swarm butterfly optimization algorithm”, Wireless Networks, 2021.
  • Sangeetha FrancelinVinnarasi,F.,Daniel, J.,Anita Rose, J.T.,Pugalenthi, R..” Deep learning supported disease detection with multi-modality image fusion”, Journal of X-Ray Science and Technology , 10.3233/XST-210851, 2021.
  • Pugalenthi, R.,Vinnarasi, F.S.F.,Kumar, P.M.,Renjith, R.A.,”Latent dactyloscopy pairing: Presentation attained through feedback from EPITOME”, International Journal of Bio-Inspired Computation, 10.1504/IJBIC.2021.114087, 2021.
  • F. Sangeetha FrancelinVinnarasi, A. Chandrasekar, “VANET routing protocol with traffic aware approach”, International Journal of Advanced Intelligence Paradigms, DOI:10.1504/IJAIP.2019.096944, 2019.
  • F. Sangeetha Francelin Vinnarasi, A. Chandrasekar, “Enhanced Collision Avoidance Method (ECAM) in VANET” , Journal of Chemical and Pharmaceutical Sciences. https://www.jchps.com/specialissues/2016%20Special%20Issue%209/RLEC%201.pdf, 2016.
  • F. Sangeetha FrancelinVinnarasi, A. Chandrasekar, “Emergency message broadcasting in VANETS”, International Journal of Applied Engineering Research, https://www.ripublication.com/ijaer10/ijaerv10n14_142.pdf, 2015.
 
International Conference
  • Sangeetha FrancelinVinnarasi, J. T. Anita Rose, Jesline and V. Rajinikanth, “An Approach to Extract Low-Grade Tumor from Brain MRI Slice Using Soft-Computing Scheme” , Advances in Intelligent Systems and Computing, DOI:10.1007/978-981- 15-2414-1_28. 2020.
  • Jesline, J. T. Anita Rose, Sangeetha FrancelinVinnarasi and V. Rajinikanth, “Development of a Semiautomated Evaluation Procedure for Dermoscopy Pictures with Hair Segment”, Advances in Intelligent Systems and Computing, DOI: 10.1007/978-981-15-2414-1_29, 2020.
  • J. T. Anita Rose, Sangeetha FrancelinVinnarasi, Jesline and V. Rajinikanth, “Assessment of Fundus Images for Retinal Abnormality Screening—A Study”, Advances in Intelligent Systems and Computing, DOI: 10.1007/978-981-15-2414- 1_31, 2020.
 
FDP Attended
  • 5 days FDP on “Cloud, Fog and Edge Computing “ Organized by NITTTR , Chandigarh from 18/09/2023 to 22/09/2023.
  • 5 days FDP on “Outcome based Curriculum Development” Organized by NITTTR , Chandigarh , from 11/09/2023 to 15/09/2023.
  • 5 days FDP on “Data Science using R”, Organized by NITTTR , 17/07/2023 to 21/07/2023
  • NPTEL-AICTE FDP on” Problem Solving through Programming in C”. Jul-Oct 2022.
  • 5 days FDP on “Machine Learning and Predictive Analysis using Python” , Organized by NITTTR , Chandigarh , from 11/07/2022 to 15/07/2022
  • 5 days FDP on “Internet of Things through ICT” Organized by NITTTR , Chandigarh from 2/03/2022 to 01/04/2022
  • 5 days ATAL FDP on "GIS & Remote Sensing" from 04/10/2021 to 08/10/2021(Online)
  • 5 days ATAL FDP on “"Virtual and Augmented Reality for Robotics" from 12/07/2021 to 16/07/2021 at Vimal Jyothi Engineering (Online)
  • 5 days ATAL FDP on "Internet of Things (IoT)" from 17/10/2020 to 21/10/2020 at Indian Institute of Technology Palakkad.(Online)
  • days ATAL FDP on “Cyber Security" from 5/10/2020 to 9/10/2020 at Government Engineering College.(Online)
  • 5 days FDP on “Big Data Analytics” Organized by NITTTR , Chandigarh, from 3/2/2020 to 7/2/2020.
 
Patents
  • IoT based smart agriculture for predicting water requirement, Live Temperature and Humidity monitoring in Agriculture sector using Big data and Machine Learning. Application No:202341063544, Published on 06/10/2023.
  • Artificial Intelligence and IoT based Driver Drowsiness Monitoring System by detecting Visual Behavior of human to avoid accidents using Machine Learning and Deep Learning algorithms. Application No: 202241060786 Published on 28/10/2022.
  • Artificial Intelligence and Machine Learning based early detection strategy for Chronic Kidney Disease. Application No: 202241001019, Published on 21/01/2022.
  • IUC – Device: Automatic Device for unlocking Car Door(Key inside the car). Application No: 202041045792 Published on 30/10/2020
  • Image Processing System For Lung Cancer Identification. Application No: 201941016941 A. Published on 10/05/2019.
 
Patents
  • Published a Patent in the title of “Scheduling of millimeter wave (mmwave) and terahertz (thz) communications in cellularconnected uav networks with integrated sensing, communication, and control” on November 2022.
  • Published a Patent in the title of “Separation of Glass / Plastic Products using FPGA” on February 2022.