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Anwitaman Datta
PeerJ Editor & Author
4,245 Points

Contributions by role

Author 405
Editor 3,840

Contributions by subject area

Data Mining and Machine Learning
Data Science
Network Science and Online Social Networks
Bioinformatics
Computational Biology
Computer Networks and Communications
Security and Privacy
Artificial Intelligence
Cryptography
Distributed and Parallel Computing
Emerging Technologies
Mobile and Ubiquitous Computing
Algorithms and Analysis of Algorithms
Optimization Theory and Computation
Theory and Formal Methods
Software Engineering
Social Computing
Internet of Things
Cryptocurrency
Blockchain
World Wide Web and Web Science
Natural Language and Speech
Scientific Computing and Simulation
Text Mining
Sentiment Analysis
Neural Networks
Human-Computer Interaction
Visual Analytics
Databases
Computational Science
Autonomous Systems

Anwitaman Datta

PeerJ Editor & Author

Summary

Anwitaman did his Phd from EPFL Switzerland. Currently, he works in the School of Computer Science and Engineering at NTU Singapore.

Data Science Distributed & Parallel Computing Security & Privacy Social Computing

Editorial Board Member

PeerJ Computer Science

Past or current institution affiliations

Nanyang Technological University
De Montfort University Leicester

Work details

Associate professor

NTU Singapore
School of Computer Science and Engineering

Websites

  • Google Scholar

PeerJ Contributions

  • Articles 4
  • Edited 11
December 20, 2024
Blockchain-enabled data governance for privacy-preserved sharing of confidential data
Jingchi Zhang, Anwitaman Datta
https://doi.org/10.7717/peerj-cs.2581
April 20, 2023
On parsimony and clustering
Frédérique Oggier, Anwitaman Datta
https://doi.org/10.7717/peerj-cs.1339
February 25, 2021
Renyi entropy driven hierarchical graph clustering
Frédérique Oggier, Anwitaman Datta
https://doi.org/10.7717/peerj-cs.366
September 16, 2019
A split-and-transfer flow based entropic centrality
Frédérique Oggier, Silivanxay Phetsouvanh, Anwitaman Datta
https://doi.org/10.7717/peerj-cs.220

Academic Editor on

August 11, 2025
Innovative multi objective optimization based automatic fake news detection
Cebrail Barut, Suna Yildirim, Bilal Alatas, Gungor Yildirim
https://doi.org/10.7717/peerj-cs.3016
June 19, 2025
Topic adversarial neural network for cross-topic cyberbullying detection
Shufeng Xiong, Wenzhuo Liu, Bingkun Wang, Yinchao Che, Lei Shi
https://doi.org/10.7717/peerj-cs.2942
April 18, 2025
FLASC: a flare-sensitive clustering algorithm
Daniël M. Bot, Jannes Peeters, Jori Liesenborgs, Jan Aerts
https://doi.org/10.7717/peerj-cs.2792
April 30, 2024
Evaluating FAIR Digital Object and Linked Data as distributed object systems
Stian Soiland-Reyes, Carole Goble, Paul Groth
https://doi.org/10.7717/peerj-cs.1781
March 29, 2024
Towards a GDPR-compliant cloud architecture with data privacy controlled through sticky policies
M. Emilia Cambronero, Miguel A. Martínez, Luis Llana, Ricardo J. Rodríguez, Alejandro Russo
https://doi.org/10.7717/peerj-cs.1898
March 29, 2024
Enhancing secure multi-group data sharing through integration of IPFS and hyperledger fabric
Feng Wen, Zhuo Wang, Leda Qu, Haixin Huang, Xiaojie Hu
https://doi.org/10.7717/peerj-cs.1962
December 8, 2023
Beyond top-k: knowledge reasoning for multi-answer temporal questions based on revalidation framework
Junping Yao, Cong Yuan, Xiaojun Li, Yijing Wang, Yi Su
https://doi.org/10.7717/peerj-cs.1725
May 26, 2023
Indistinguishability under adaptive chosen-ciphertext attack secure double-NTRU-based key encapsulation mechanism
Kübra Seyhan, Sedat Akleylek
https://doi.org/10.7717/peerj-cs.1391
May 16, 2023
Check-worthy claim detection across topics for automated fact-checking
Amani S. Abumansour, Arkaitz Zubiaga
https://doi.org/10.7717/peerj-cs.1365
May 21, 2021
Augmenting the technology acceptance model with trust model for the initial adoption of a blockchain-based system
Ajay K. Shrestha, Julita Vassileva, Sandhya Joshi, Jennifer Just
https://doi.org/10.7717/peerj-cs.502
July 6, 2020
Forecasting Bitcoin closing price series using linear regression and neural networks models
Nicola Uras, Lodovica Marchesi, Michele Marchesi, Roberto Tonelli
https://doi.org/10.7717/peerj-cs.279