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Hemant Rathore
PeerJ Editor & Reviewer
1,215 Points

Contributions by role

Reviewer 15
Editor 1,200

Contributions by subject area

Artificial Intelligence
Data Science
Mobile and Ubiquitous Computing
Security and Privacy
Operating Systems
Data Mining and Machine Learning
Internet of Things
Computer Networks and Communications
Neural Networks
Algorithms and Analysis of Algorithms

Hemant Rathore

PeerJ Editor & Reviewer

Summary

Hemant Rathore received his B.E. and M.E. in computer science from RGTU, India, and BITS Pilani, India, in 2010 and 2013, respectively. He is currently associated to Department of Computer Science and Information Systems at BITS Pilani, India; and has strong academic and industry research experience in the field of security, and currently works in the domain of adversarial learning and explainability in malware detection models based on machine learning and deep learning.

Hemant has published many research papers in various reputed SCI journals and CORE-ranked (A*, A, and B) conferences. He also won the prestigious K Shankar Meritorious Paper Award 2021 in the journal category. Hemant was selected to present his work in the 11 IDRBT Doctoral Colloquium 2021, and he received multiple travel and registration grants from a number of reputed conferences such as NDSS, IEEE INFOCOM, IEEE PerCom, IEEE S & P, IACR Eurocrypt, etc. Hemant has also been invited to various venues (e.g. BDA, TENCON, etc.) for invited tutorials, talks, and seminars.

His teaching credentials include taught courses in the areas of Network Security, Advanced Data Mining, and Data Mining to undergraduate and postgraduate students; in addition to guiding and supervising numerous students in short-term projects.

Hemant is a member of the IEEE and ACM.

Artificial Intelligence Data Science Mobile & Ubiquitous Computing Operating Systems Security & Privacy

Editorial Board Member

PeerJ Computer Science

Work details

Assistant Professor

BITS Pilani India
September 2016
Department of Computer Science and Information Systems

Websites

  • Google Scholar
  • DBLP

PeerJ Contributions

  • Edited 2

Academic Editor on

September 9, 2024
An efficient intrusion detection system for IoT security using CNN decision forest
Kamal Bella, Azidine Guezzaz, Said Benkirane, Mourade Azrour, Yasser Fouad, Mbadiwe S. Benyeogor, Nisreen Innab
https://doi.org/10.7717/peerj-cs.2290
August 9, 2024
A DoS attack detection method based on adversarial neural network
Yang Li, Haiyan Wu
https://doi.org/10.7717/peerj-cs.2162