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Dr J Deny

Head-Incubation/ Associate Professor-ECE · kalasalingam Academy of Research and Education

https://researchid.co/jdenysam
@kalasalingam.ac.in
73Scopus Publications
931Google Scholar Citations
17Google Scholar h-index
32Google Scholar i10-index

Biography

Dr. J. Deny holds an impressive academic background and has made significant contributions in the field of electronics and communication engineering, particularly focusing on image processing, network security, and innovation techniques in entrepreneurship. Here's a concise summary of his educational and professional journey:Dr. J. Deny earned his Bachelor of Engineering (B.E.) degree in electronics and communication engineering from Anna University in 2010. In 2012, he obtained a Master of Technology (M.Tech.) degree in digital communication and networks from the Kalasalingam Academy of Research and Education. Dr. Deny pursued his passion for research and completed his Ph.D. in the field of image processing and network security at the Bharath Institute of Higher Education and Research in 2017.Currently, he is engaged in a Post-Doctoral Fellowship program with a focus on Innovation and Entrepreneurship at the Kazimierz Pulaski University of Technology and Humanities in Radom, Poland

Education

B.E.,M.Tech.,Ph.D., (PDF)

Recent Scopus Publications

  1. AI-Optimized Autoencoder Architecture for Secure and Efficient Brain MRI Image Encryption and Compression on EDGE Platforms
    Ksii Transactions on Internet and Information Systems, 2025
  2. Investigation on the electrochemical advantages of manganese vanadate nanoparticles decorated with reduced graphene oxide in supercapacitors
    Diamond and Related Materials, 2025
  3. Comprehensive review of kalasalingam technology business incubator startup program and startup olis
    Multidisciplinary Reviews, 2025
  4. Aperture coupled elliptic patch nanoantenna for low-cost interchip/intrachip optical-wireless communication
    International Journal of Communication Systems, 2025
  5. 2D Medical Image Compression Using Inception Deep Learning Neural Network
    Lecture Notes in Networks and Systems, 2025

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