Email: janianbarasi.l@vit.ac.in
PhD: Anna University, Chennai
Research Area: Artificial Intelligence, Deep Learning, Computer Vision, 3D Model Watermarking
| Employee ID | 51142 | ||||
| Intercom | 044 3993 1094 | ||||
| Educational details | |||||
| Degree | Passed out year | Specialization | Institute/University/ College | ||
| Ph.D | 2015 | CSE | Anna University, Chennai | ||
| M.E. | 2005 | CSE | Jerusalem College of Engineering, Anna University, Chennai | ||
| B.E. | 2000 | CSE | Dr. Sivanthi Adithanar College of Engineering, Manonmanium Sundaranar University | ||
| Research Details | |||||
| Areas of Specialization | Image Processing | ||||
| ORCID ID | https://orcid.org/0000-0002-8904-2236 | ||||
| Scopus ID | https://www.scopus.com/authid/detail.uri?authorId=57222292455 | ||||
| H-index (scopus) | 7 | ||||
| Google Scholar ID | https://scholar.google.com/citations?user=_EEDtVoAAAAJ&hl=en | ||||
| i10 index | 10 | ||||
| Patent Published Details | |||||
| Patent Published Title | Patent Published Application No. | ||||
| System and method for fluid flow management | 202041008865A | ||||
| Automated sewage channel blockage detection system and methods of informing thereof | 202141020912A | ||||
| Patent Granted Details | |||||
| Patent Granted Title | Patent Granted Application No. | ||||
| Book / Book Chapter Published Details | |||||
| Title | Publisher | Year | |||
| 1. Augmented and Virtual Reality and Its Applications.” Multimedia and Sensory Input for Augmented, Mixed, and Virtual Reality | IGI Global | 2021 | |||
| 2. Augmented and Virtual Reality and Its Applications.” Multimedia and Sensory Input for Augmented, Mixed, and Virtual Reality-8.ch003 | IGI Global | 2021 | |||
| 3. Geetha, S.,et al. “Augmented Reality Application: AR Learning Platform for Primary Education.” Multimedia and Sensory Input for Augmented, Mixed, and Virtual Reality | IGI Global | 2021 | |||
| 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 Protocol | John Wiley & Sons, Inc. | 2022 | |||
| 6. Machine Learning Based IoT Models and Analysis | Taylor & Francis CRC Press | 2022 | |||
| 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. |
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| 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 | |||||
