Dr Priyan Malarvizhi Kumar

NameDr Priyan Malarvizhi Kumar
Job titleResearch Fellow in Digital Twin Modeling for Automation
Research institute
Primary appointmentDesign Engineering & Mathematics
Email addresspriyan1@mdx.ac.uk
Contact categoryAcademic staff (past)

Research outputs

Special issue on workplace violence prevention using security robots. Work, 68 (3) . pp. 821-823. ISSN 1875-9270

Malarvizhi Kumar, P., Pandey, H. and Srivastava, G. 2021. Special issue on workplace violence prevention using security robots. Work, 68 (3) . pp. 821-823. ISSN 1875-9270. IOS Press.

Internet of things assisted public security management platform for urban transportation using hybridised cryptographic‐integrated steganography

Bi, D., Kadry, S. and Malarvizhi Kumar, P. 2020. Internet of things assisted public security management platform for urban transportation using hybridised cryptographic‐integrated steganography. IET Intelligent Transport Systems. 14 (11), pp. 1497-1506. https://doi.org/10.1049/iet-its.2019.0833

Blockchain based integrated security measure for reliable service delegation in 6G communication environment

Manogaran, G., Rawal, B., Saravanan, V., Malarvizhi Kumar, P., Martínez, O., Crespo, R., Montenegro-Marin, C. and Krishnamoorthy, S. 2020. Blockchain based integrated security measure for reliable service delegation in 6G communication environment. Computer Communications. 161, pp. 248-256. https://doi.org/10.1016/j.comcom.2020.07.020

L1 norm based pedestrian detection using video analytics technique

Selvaraj, A., Selvaraj, J., Maruthaiappan, S., Babu, G. and Malarvizhi Kumar, P. 2020. L1 norm based pedestrian detection using video analytics technique. Computational Intelligence. 36 (4), pp. 1569-1579. https://doi.org/10.1111/coin.12292

A digital twin framework for Industry 4.0 enabling next-gen manufacturing

Raza, M., Malarvizhi Kumar, P., Viet Hung, D., Davis, W., Nguyen, H. and Trestian, R. 2020. A digital twin framework for Industry 4.0 enabling next-gen manufacturing. International Conference on Industrial Technology and Management (ICITM 2020). Oxford, United Kingdom 11 - 13 Feb 2020 IEEE. pp. 73-77 https://doi.org/10.1109/ICITM48982.2020.9080395
  • 208
    total views of outputs
  • 25
    total downloads of outputs
  • 8
    views of outputs this month
  • 0
    downloads of outputs this month