Dr. Jani Anbarasi L

Assistant Professor

Email: janianbarasi.l@vit.ac.in

PhD: Anna University, Chennai

Research Area: Artificial Intelligence, Deep Learning, Computer Vision, 3D Model Watermarking

Employee ID51142
Intercom1094
Educational details (Please mention all the degrees with latest first)
DegreePassed out yearSpecializationInstitute/University/ College
Ph.D2015CSEAnna University, Chennai
M.E.2005CSEJerusalem College of Engineering, Anna University, Chennai
B.E.2000CSEDr. Sivanthi Adithanar College of Engineering, Manonmanium Sundaranar University
  
Research Details
Areas of SpecializationImage Processing
ORCID IDhttps://orcid.org/0000-0002-8904-2236
Scopus IDhttps://www.scopus.com/authid/detail.uri?authorId=57222292455
H-index (scopus)7
Google Scholar IDhttps://scholar.google.com/citations?user=_EEDtVoAAAAJ&hl=en
i10 index10
  
Patent Published Details
Patent Published TitlePatent Published Application No.
System and method for fluid flow management202041008865A
Automated sewage channel blockage detection system  and methods of informing thereof202141020912A
  
Patent Granted Details
Patent Granted TitlePatent Granted Application No.
  
  
Book / Book Chapter Published Details
TitlePublisherYear
1.  Augmented and Virtual Reality and Its Applications.” Multimedia and Sensory Input for Augmented, Mixed, and Virtual RealityIGI Global2021
2. Augmented and Virtual Reality and Its Applications.” Multimedia and Sensory Input for Augmented, Mixed, and Virtual Reality-8.ch003IGI Global2021
3.  Geetha, S.,et al. “Augmented Reality Application: AR Learning Platform for Primary Education.” Multimedia and Sensory Input for Augmented, Mixed, and Virtual RealityIGI Global2021
4.    Automated Health Monitoring System (AHMS) Using IoT for Improving Healthcare”, Intelligent Interactive Multimedia Systems for e-Healthcare Applications,Apple Academic Press,2021
5. An Extensive Survey of Applications of Advanced Deep Learning Algorithms on Detection of Neurodegenerative Diseases and the Tackling Procedure in Their Treatment ProtocolJohn Wiley & Sons, Inc.2022
6. Machine Learning Based IoT Models and AnalysisTaylor & Francis CRC Press2022
 
Major International Collaboration Details  – Academic Collaboration Details
Type of collaboration (Research & publication/Funded Project/consultancy etc.), collaborating institute, year of collaboration
Research Publication –  2022 –

Reghukumar, Arathi, L. Jani Anbarasi, J. Prassanna, Ramachandran Manikandan, and Fadi Al-Turjman. “Vision based segmentation and classification of cracks using deep neural networks.” International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 29, no. Supp01 (2021): 141-156.

Major International Collaboration Details – Industry collaboration Details
Type of collaboration (Research & publication/Funded Project/consultancy etc.), collaborating industry, year of collaboration
1.       Research Publication
1.    Malathy J, Anbarasi L, Prassanna J, Jackson C, Manikandan R, Alzubi J, Dhanya D. Diagnosis of COVID-19 using Optimized PCA based Local Binary Pattern Features. Int J Cur Res Rev. Modern approaches for diagnosis of COVID-19 and current status of awareness, March, 2021, 37-41, http://dx.doi.org/10.31782/IJCRR.2021.SP171