Dr. Prassanna J

Associate Professor

SCOPE - Associate Professor (Sr.)

Email: prassanna.j@vit.ac.in

PhD: VIT

Research Area: Cloud Computing

Employee ID50417
Intercom1425
Educational details (Please mention all the degrees with latest first)
DegreePassed out yearSpecializationInstitute/University/ College
PhD2019Computer Science and EngineeringVIT University
M.Tech2005Computer Science and EngineeringSRM University
B.E./B.Tech
Post-Doctoral Experience if any
Research Details
Areas of SpecializationCyber Physical System, Distributed Computing, Cloud
ORCID ID0000-0001-5372-6727
Scopus ID56728927200
H-index (scopus)6
Google Scholar ID76co9VAAAAAJ
i10 index3
 
Patent Published Details
Patent Published TitlePatent Published Application No.
Method for Scheduling of Health-Care Facility & Health Care Resources Using IoT Technology202041006390
Vehicular Network System of Road Side Unit (RSU) for Monitoring Traffic Information Using Multi-Path Recognition202041008238
 
 
Patent Granted Details
Patent Granted TitlePatent Granted Application No.
 
 
Book / Book Chapter Published Details
TitlePublisherYear
Ramachandran, M., Kalyanaraman, H., Jayachandran, P., Kumar, A., Subramanian, M. (2022). Social Economic Impacts for Covid-19 Pandemics Using Machine Learning Based Optimization Algorithm. In: Anandan, R., Suseendran, G., Chatterjee, P., Jhanjhi, N.Z., Ghosh, U. (eds) How COVID-19 is Accelerating the Digital Revolution. Springer, Cham. https://doi.org/10.1007/978-3-030-98167-9_7Springer, Cham2022
Prassanna, J., Rahim, R., Bagyalakshmi, K., Manikandan, R., Patan, R. (2021). Effective Use of Deep Learning and Image Processing for Cancer Diagnosis. In: Kose, U., Alzubi, J. (eds) Deep Learning for Cancer Diagnosis. Studies in Computational Intelligence, vol 908. Springer, Singapore. https://doi.org/10.1007/978-981-15-6321-8_9Springer, Singapore2020
Awards & Recognition Details (only national and international awards and recognitions)
Name of the award, awarding agency, year of award
Research Award, VIT Chennai,
Major International Collaboration Details  – Academic Collaboration Details
Publication, Prince Mohammad Bin Fahd University, Khobar, Saudi Arabia, 2022

  • Jawahar, M., L, J.A., Ravi, V. et al. CovMnet–Deep Learning Model for classifying Coronavirus (COVID-19). Health Technol. (2022). https://doi.org/10.1007/s12553-022-00688-1
  • Jawahar, M., Prassanna, J., Ravi, V. et al. Computer-aided diagnosis of COVID-19 from chest X-ray images using histogram-oriented gradient features and Random Forest classifier. Multimed Tools Appl (2022). https://doi.org/10.1007/s11042-022-13183-6

 

Publication, Near East University, Nicosia, Turkey, 2022 & 2021

  • Jawahar, Malathy,et al. “Utilization of Transfer Learning Model in Detecting COVID-19 Cases From Chest X-Ray Images.” IJEHMC vol.13, no.2 2022: pp.1-11. http://doi.org/10.4018/IJEHMC.20220701.oa2
  • Reghukumar, Arathi et al. “Vision Based Segmentation And Classification Of Cracks Using Deep Neural Networks”. International Journal Of Uncertainty, Fuzziness And Knowledge-Based Systems, vol 29, no. Supp01, 2021, pp. 141-156. World Scientific Pub Co Pte Lt, https://doi.org/10.1142/s0218488521400080.
  • M, VRS, Jani Anbarasi, L, Prassanna, J, Manikandan, R, Al-Turjman, F. Swarm intelligence-based optimal device deployment in heterogeneous Internet of Things networks for wind farm application. Int J Commun Syst. 2021; 34:e4779. https://doi.org/10.1002/dac.4779
Publications, Sekolah Tinggi Ilmu Manajemen Sukma, Medan, Indonesia, 2020

  • Prassanna, J., Rahim, R., Bagyalakshmi, K., Manikandan, R., Patan, R. (2021). Effective Use of Deep Learning and Image Processing for Cancer Diagnosis. In: Kose, U., Alzubi, J. (eds) Deep Learning for Cancer Diagnosis. Studies in Computational Intelligence, vol 908. Springer, Singapore. https://doi.org/10.1007/978-981-15-6321-8_9