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Jyotir  Chatterjee
PeerJ Reviewer
140 Points

Contributions by role

Reviewer 140

Contributions by subject area

Algorithms and Analysis of Algorithms
Artificial Intelligence
Data Mining and Machine Learning
Data Science
Spatial and Geographic Information Systems
Computer Networks and Communications
Security and Privacy
Neural Networks
Internet of Things
Bioinformatics

Jyotir Moy Chatterjee

PeerJ Reviewer

Summary

I'm currently working as an Assistant Professor (CSE) at Graphic Era University, India. I am also an Assistant Professor (Visiting Faculty) at Lord Buddha Education Foundation in Kathmandu, Nepal. I've also held roles as an Assistant Professor and Program Leader (B.Sc. IT) at the Lord Buddha Education Foundation and as an Assistant Professor (CSE) at GD-Rungta College of Engineering & Technology in Bhilai, India. My research focuses on Deep Learning and Machine Learning.

Artificial Intelligence

Work details

Assistant Professor

Graphic Era University
CSE
Teaching

Websites

  • Google Scholar
  • My Website

PeerJ Contributions

  • Reviewed 3

Signed reviews submitted for articles published in PeerJ Note that some articles may not have the review itself made public unless authors have made them open as well.

August 19, 2025
Software defined network intrusion system to detect malicious attacks in computer Internet of Things security using deep extractor supervised random forest technique
Muhammad Mujahid, Abeer Rashad Mirdad, Faten S. Alamri, Anees Ara, Amjad Khan
https://doi.org/10.7717/peerj-cs.3103
May 28, 2025
Comparative performance of twelve machine learning models in predicting COVID-19 mortality risk in children: a population-based retrospective cohort study in Brazil
Adriano Lages dos Santos, Maria Christina L. Oliveira, Enrico A. Colosimo, Robert H. Mak, Clara C. Pinhati, Stella C. Gallante, Hercílio Martelli-Júnior, Ana Cristina Simões e Silva, Eduardo A. Oliveira
https://doi.org/10.7717/peerj-cs.2916
October 19, 2023
IoMT based smart healthcare system to control outbreaks of the COVID-19 pandemic
Nouf Abdullah Almujally, Turki Aljrees, Muhammad Umer, Oumaima Saidani, Danial Hanif, Nihal Abuzinadah, Khaled Alnowaiser, Imran Ashraf
https://doi.org/10.7717/peerj-cs.1493