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FAMMI 2023

Dekathon 2022

DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING

Juby Raju

Associate Professor
M.Tech PhD(Pursuing)
Experience : 23 years 
jubyraju@stthomascollege.ac.in

VIDWAN ID : 679806

Juby Raju

Educational Qualification

  • PhD* - (Pursuing)
  • M.Tech-Manonmaniam Sundarnar University(2010)
  • B.E-Sardar Patel University(2001)

Specializations

  • Artificial Intelligence

Current Research Interest

  • Machine learning
  • Deep Learning

Professional Body Membership

  • ISTE

Total No. of Publications

  • 10

Publications

  • 1) Conference Details. A. Mohan, D. Madhu, J. Tayalekshmy, A. R.P and J. Raju, "Efficient algorithm for object detection using saliency feature in machine vision systems," 2019 2nd International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT), 2019, pp. 1527-1531, doi: 10.1109/ICICICT46008.2019.8993308.(Scopus)
  • 2) J. Raju and S. Sathyalakshmi, "Application of AI Techniques to Predict Survival in Liver Transplantation: A Review," 2021 IEEE Pune Section International Conference (PuneCon), 2021, pp. 1-6, doi: 10.1109/PuneCon52575.2021.9686494.(Scopus)
  • 3) A Review on Deep LungNet: CNN-Based Lung Cancer Detection Techniques Using CT Images.Nair, S.S, John, A.S, Raju, J.2024 International Conference on Advances in Data Engineering and Intelligent Computing Systems, ADICS 2024, 2024.(Scopus)
  • 4) Application of AI Techniques to Predict Survival in Liver Transplantation : A Review Raju, J., Sathyalakshmi, S.2021 IEEE Pune Section International Conference, Pune Con 2021, 2021.(Scopus)
  • 5) Raju, J., & Ranjana, P. (2025). Intuitionistic fuzzy RFE-based prognostic model for liver transplantation. Journal of Associated Medical Sciences, 58(2), 29–40. Retrieved from https://he01.tci-thaijo.org/index.php/bulletinAMS/article/view/273517.(Scopus)
  • 6) Kumar, N. S., Perumprath, A. S., & Raju, J. (2025, February). A comprehensive review of the advances and prospects of electrical impedance tomography in the breast cancer detection. In AIP Conference Proceedings (Vol. 3280, No. 1, p. 030002). AIP Publishing LLC(Scopus)
  • 7) Juby Raju, P. Ranjana Improved linknet with transfer learning for assessing mortality risk based on pretransplant data of liver transplantation. https://doi.org/10.4015/S1016237225500656(Scopus).

FDP/Workshop/Seminars attended

  • ATAL FDP on 5G Communications Network at TKM College of Engineering and Technology from 18-23 Nov,2024
  • ATAL FDP on Industry 4.0 at Gregorian Institute of Technology from 30/9/24 to 5/10/24
  • FDP at Bishop Jerome Institute of Technology on Quality Technical Education based on Universal Human Values on 8/7/24 to 12/72024
  • Outcome based Education in orientation with NBA during 13.12.2021-18.12.2021 ATAL FDP on Artificial Intelligence by Coimbatore Institute of Technology from 5.10.2020 to 9.10.2020
  • FDP on Power system analysis using matlab at Musaliar College of Engineering and Technology on 9th to 13th July 2018.
  • FDP on Digital Design and Emerging trends in VLSI at Musaliar College of Engineering and Technology at 18 to 20 December 2018.

Professional Experience in years (Teaching)

  • 23 Years

Achievements

  • Selected in all kerala women idea pitching contest for technical teachers in association with KSUM ,KTU and Prayaana Lab
  • Underwent 6 months Faculty Entreprenuership workshop focussing on the topic SociALERT.
  • Reviewer of SCIE and Scopus journals & Conferences