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Devi Rajeev

Assistant Professor (OC), Department of Computer Science and Engineering, School of Computing, Amritapuri.

Qualification: M.Tech.
devir@am.amrita.edu
ORCID Profile
Google Scholar Profile
Research Interest: Aritificial Intelligence, Cybersecurity, Medical Image Processing
Date of Joining: 01/01/2025
Nature of Association: Contract

Bio Publications FDP / Workshops Conferences
Bio

Devi Rajeev currently serve as an Assistant Professor (OC) at the Department of Computer Science and Engineering, School of Computing, Amrita Vishwa Vidyapeetham, Amritapuri.

Publications

Conference Paper

Year : 2024

Deep Learning-Driven Graft Survival Prediction for Indian AFLD Patients Following Liver Transplantation

Cite this Research Publication : Devi Rajeev, S. Remya, Anand Nayyar, Krishnanunni Nair, Deep Learning-Driven Graft Survival Prediction for Indian AFLD Patients Following Liver Transplantation, Smart Innovation, Systems and Technologies, Springer Nature Singapore, 2024, https://doi.org/10.1007/978-981-97-5081-8_26

Publisher : Springer Nature Singapore

Book Chapter

Year : 2024

Empowering Clinical Decision Making

Cite this Research Publication : Devi Rajeev, S. Remya, Anand Nayyar, Empowering Clinical Decision Making, Artificial Intelligence and Machine Learning in Drug Design and Development, Wiley, 2024, https://doi.org/10.1002/9781394234196.ch16

Publisher : Wiley

Journal Article

Year : 2024

HCCNet Fusion: a synergistic approach for accurate hepatocellular carcinoma staging using deep learning paradigm

Cite this Research Publication : Devi Rajeev, S. Remya, Anand Nayyar, HCCNet Fusion: a synergistic approach for accurate hepatocellular carcinoma staging using deep learning paradigm, Multimedia Tools and Applications, Springer Science and Business Media LLC, 2024, https://doi.org/10.1007/s11042-024-19446-8

Publisher : Springer Science and Business Media LLC

Year : 2024

Predicting Hepatocellular Carcinoma Graft Survival Rate in Post Liver Transplantation Using DeepHit

Cite this Research Publication : Devi Rajeev, S Dr. Remya, Dr. Anand Nayyar, Dr. Krishnanunni Nair, Predicting Hepatocellular Carcinoma Graft Survival Rate in Post Liver Transplantation Using DeepHit, Procedia Computer Science, Elsevier BV, 2024, https://doi.org/10.1016/j.procs.2024.03.220

Publisher : Elsevier BV

FDP / Workshops
  1. Faculty Development Programme on “Data Analytics for the new industrial era: Application of ML in Industry 4.0” organized by the Department of Computer Science and Engineering, TKM College of Engineering, Kollam, Kerala  
  2. Faculty development programme on Cloud Computing in association with Edunet Foundation under the Microsoft & SAP Tech Saksham Programme
Conferences
  1. International Conference on Innovative Data Communication Technologies and Application [ICIDCA 2024]. 
  2. 2025 Gender and Technology Conference (GTC) – Safety and Security: Gendered Perspectives on New Technologies 
  3. Congress on Smart Computing Technologies (CSCT 2023) 
  4. 3rd International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS 2024) 
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