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Aswani Kumar Cherukuri
PeerJ Editor, Author & Reviewer
1,405 Points

Contributions by role

Reviewer 30
Editor 1,375

Contributions by subject area

Algorithms and Analysis of Algorithms
Artificial Intelligence
Autonomous Systems
Computational Linguistics
Data Mining and Machine Learning
Theory and Formal Methods
Computer Architecture
Quantum Computing
Human-Computer Interaction
Computer Education
Security and Privacy
Social Computing
Neural Networks
Computer Networks and Communications
Data Science
Internet of Things
Emerging Technologies
Natural Language and Speech
Network Science and Online Social Networks
Programming Languages
Computer Vision
Text Mining
Digital Libraries
World Wide Web and Web Science

Aswani Kumar Cherukuri

PeerJ Editor, Author & Reviewer

Summary

Dr. Aswani Kumar Cherukuri is a Professor at Vellore Institute of Technology (VIT), India. His research interests include information security and machine learning. Aswani Kumar earned the Young Scientist Fellowship from Tamilnadu State Council for Science and Technology and was awarded the Inspiring Teacher Award from The Indian Express (India’s leading English daily newspaper). He has worked on various research projects funded by the Government of India’s Department of Science and Technology, the Department of Atomic Energy, and the Ministry of Human Resources Development. Aswani Kumar has published more than 150 refereed research articles in various national/international journals and conferences and is an editorial board member for several international journals. He is a Senior Member and distinguished speaker of the Association for Computing Machinery (ACM), a member of the Institute of Electrical and Electronics Engineers (IEEE), and Vice-Chair of the IEEE Taskforce on Educational Data Mining. Aswani Kumar earned a PhD in informational retrieval, data mining, and soft-computing techniques from VIT.

Artificial Intelligence Blockchain Cryptography Data Mining & Machine Learning Neural Networks Quantum Computing Security & Privacy Theory & Formal Methods

Editorial Board Member

PeerJ Computer Science

Work details

Professor

Vellore Institute of Technology, Vellore
Information Technology
Professor of Information Technology with expertise in Machine Learning and Information Security.

Websites

  • Google Scholar

PeerJ Contributions

  • Edited 7

Academic Editor on

June 23, 2025
The accuracy-bias trade-offs in AI text detection tools and their impact on fairness in scholarly publication
Ahmad R. Pratama
https://doi.org/10.7717/peerj-cs.2953
May 1, 2025
Autonomous vehicle surveillance through fuzzy C-means segmentation and DeepSORT on aerial images
Asifa Mehmood Qureshi, Moneerah Alotaibi, Sultan Refa Alotaibi, Dina Abdulaziz AlHammadi, Muhammad Asif Jamal, Ahmad Jalal, Bumshik Lee
https://doi.org/10.7717/peerj-cs.2835
October 15, 2024
Unleashing quantum algorithms with Qinterpreter: bridging the gap between theory and practice across leading quantum computing platforms
Wilmer Contreras-Sepúlveda, Braulio Misael Villegas-Martínez, Sandra Gesing, José Javier Sánchez-Mondragón, Juan Carlos Sánchez-Pérez, Claudia Andrea Vidales-Basurto, J. Jesús Escobedo-Alatorre, Angel David Torres-Palencia, Omar Palillero-Sandoval, Jacob Licea-Rodriguez, Néstor Lozano-Crisóstomo, Julio César García-Melgarejo, Eddie Nelson Palacios-Perez
https://doi.org/10.7717/peerj-cs.2318
September 20, 2024
Terrorism group prediction using feature combination and BiGRU with self-attention mechanism
Mohammed Abdalsalam, Chunlin Li, Abdelghani Dahou, Natalia Kryvinska
https://doi.org/10.7717/peerj-cs.2252
July 23, 2024
Anomaly prediction of Internet behavior based on generative adversarial networks
XiuQing Wang, Yang An, Qianwei Hu
https://doi.org/10.7717/peerj-cs.2009
June 1, 2023
BinBench: a benchmark for x64 portable operating system interface binary function representations
Francesca Console, Giuseppe D’Aquanno, Giuseppe Antonio Di Luna, Leonardo Querzoni
https://doi.org/10.7717/peerj-cs.1286
July 7, 2022
Awareness of security and privacy settings in video conferencing apps among faculty during the COVID-19 pandemic
Ali Alammary, Moneer Alshaikh, Ahmad R. Pratama
https://doi.org/10.7717/peerj-cs.1021