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Stefano Cirillo
Bronze Contributor
5,270 Points

Contributions by role

Editor 5,270

Contributions by subject area

Algorithms and Analysis of Algorithms
Artificial Intelligence
Data Mining and Machine Learning
Neural Networks
Computer Vision
Optimization Theory and Computation
Sentiment Analysis
Computer Networks and Communications
Data Science
Security and Privacy
Social Computing
Text Mining
Computational Linguistics
Natural Language and Speech
Databases
Computational Biology
Computer Education
World Wide Web and Web Science
Emerging Technologies
Human-Computer Interaction
Software Engineering
Adaptive and Self-Organizing Systems
Cryptography
Blockchain
Distributed and Parallel Computing
Agents and Multi-Agent Systems
Autonomous Systems
Bioinformatics
Computer Aided Design
Visual Analytics
Bronze Contributor

Stefano Cirillo

PeerJ Editor & Author

Summary

Stefano Cirillo is an Assistant Professor at the Department of Computer Science of the University of Salerno, Italy.

His research interests include Data Profiling, Data Mining, Artificial Intelligence, Data Privacy, and Social Networks, in which he has published several articles in international journals, books, and conference proceedings.

He graduated in Computer Science (cum laude) in 2018, at the Department of Computer Science of the University of Salerno. In 2022 he received the Ph.D. in Computer Science at the University of Salerno, with a Ph.D. course funded by the Programma Operativo Nazionale (PON) 2014-2020.

In 2018 he worked at the Centro Regionale Information Communication Technology (CeRICT) scrl based in Benevento, Italy, for designing, implementing, and developing an intelligent search engine for call-for-tenders in the e-procurement domain. In 2019 he was a visiting researcher at the Datonix SpA in Naples (NA), aimed at the design and development of algorithms for the extraction of profiling metadata from relational and non-relational databases. In 2020 he spent a research period at the Information Systems group of the Hasso Plattner Institute (HPI) affiliated with the University of Potsdam, Germany.

From 2022 to 2023 he was a Research Fellow at the University of Salerno for the research activity within the project "Profiling Data Streams for Anomaly Detection And Online Learning".

In 2022 he was an adjunct professor for the course of Databases, II year, for the Degree course in Computer Science at the Department of Computer Science of the University of Salerno.

Since 2023 he is an Assistant Professor at the University of Salerno for the project "Security and Rights in the CyberSpace (SERICS)".

He was Program Co-Chair of the International DMS Conference on Visualization and Visual Languages (2021) and Conference Co-Chair of the International DMS Conference on Visualization and Visual Languages (2022).

He is the Local Arrangements Chair of the international EDBT/ICDT 2024 Joint Conference and is a member of the program committee of several national and international conferences, including the International Conference On Computer, Software And Modeling (ICCSM), International Conference on Computing Science, Communication and Security (COMS2), International Conference on Big Data Computing Service and Machine (BIGDATASERVICE), International Conference on Advanced Information Science and System (AISS), International Conference on Applications and Systems of Visual Paradigms (VISUAL), International Conference on Networks, Communications and Information Technology (CNCIT), and International Conference on Big Data and Artificial Intelligence (ICBDAI).

He is an Associate Editor of the Journal Multimedia Tools and Applications (Springer) and of the Journal of Visual Language and Computing (JVLC). He is an Editorial Board Member of several international journals, including journal Data Science and Management (DSM), International Journal of Computer Science and Management, and Research Reports on Computer Science (RRCS). He was Lead Guest Editor for the Special Issue "Sentient Multimedia Systems and Universal Visual Languages" [1225] on Multimedia Tools and Applications (Springer) and Guest Editor of several Special Issues published in international journals.

He is a reviewer of several international journals, including Intelligent Systems (IEEE), Expert Systems with Applications (Elsevier), Information and Processing Management (Elsevier), Journal of Data and Information Quality (ACM), and Neural Computing and Applications (Elsevier).

Artificial Intelligence Data Mining & Machine Learning Data Science Databases

Editorial Board Member

PeerJ Computer Science

Past or current institution affiliations

University of Salerno

Work details

Assistant Professor

University of Salerno
November 2018
Computer Science

Websites

  • Google Scholar

PeerJ Contributions

  • Articles 1
  • Edited 24
June 3, 2025
Multi-objective federated learning traffic prediction in vehicular network for intelligent transportation system
Arulmurgan Aalavanthar, Famila S., Shanmugam Sundaramurthy, Stefano Cirillo, Giandomenico Solimando, Giuseppe Polese
https://doi.org/10.7717/peerj-cs.2922

Academic Editor on

September 3, 2025
Detection of unsafe workplace behaviors: Sec-YOLO model with FEHA attention
Yang Liu, Shuaixian Liu, Jie Gao, Tao Song, Wenyu Dong
https://doi.org/10.7717/peerj-cs.3151
August 25, 2025
MLPruner: pruning convolutional neural networks with automatic mask learning
Sihan Chen, Ying Zhao
https://doi.org/10.7717/peerj-cs.3132
April 25, 2025
AI framework for DRIVE model based mental health detection in text: a case study on how coping strategies are expressed during COVID-19
Loulwah AlSumait, Altaf AlFarhan, Hasah AlHeneidi
https://doi.org/10.7717/peerj-cs.2828
April 21, 2025
Unbiased machine learning-assisted approach for conditional discretization of human performances
Thepparit Banditwattanawong, Masawee Masdisornchote
https://doi.org/10.7717/peerj-cs.2804
March 31, 2025
Improved smart city security using a deep maxout network-based intrusion detection system with walrus optimization
Wahid Rajeh, Majed Aborokbah, Manimurugan S., Umar Albalawi, Ahamed Aljuhani, Osama Shibl Abdalghany Younes, Karthikeyan Periyasami
https://doi.org/10.7717/peerj-cs.2743
February 26, 2025
Prediction of perinatal depression among women in Pakistan using Hybrid RNN-LSTM model
Amna Zafar, Muhammad Wasim, Beenish Ayesha Akram, Maham Riaz, Ivan Miguel Pires, Paulo Jorge Coelho
https://doi.org/10.7717/peerj-cs.2673
February 17, 2025
Combination of machine learning and data envelopment analysis to measure the efficiency of the Tax Service Office
Shofinurdin Soffan, Arif Bramantoro, Ahmad A. Alzahrani
https://doi.org/10.7717/peerj-cs.2672
January 16, 2025
Edge and texture aware image denoising using median noise residue U-net with hand-crafted features
Soniya S., Sriharipriya K. C.
https://doi.org/10.7717/peerj-cs.2449
December 23, 2024
Sentiment analysis of pilgrims using CNN-LSTM deep learning approach
Aisha Alasmari, Norah Farooqi, Youseef Alotaibi
https://doi.org/10.7717/peerj-cs.2584
December 9, 2024
Acoustic Sensors data transmission integrity and endurance with IoT-enabled location-aware framework
Shujaat Ali, Muhammad Nadeem, Sheeraz Ahmed, Faheem Khan, Murad Khan, Abdullah Alharbi
https://doi.org/10.7717/peerj-cs.2452
December 9, 2024
Advanced multiple document summarization via iterative recursive transformer networks and multimodal transformer
Sunilkumar Ketineni, Sheela Jayachandran
https://doi.org/10.7717/peerj-cs.2463
December 5, 2024
Integrating lightweight YOLOv5s and facial 3D keypoints for enhanced fatigued-driving detection
Mohan Arava, Divya Meena Sundaram
https://doi.org/10.7717/peerj-cs.2447
December 3, 2024
On the interpretability of fuzzy knowledge base systems
Francesco Camastra, Angelo Ciaramella, Giuseppe Salvi, Salvatore Sposato, Antonino Staiano
https://doi.org/10.7717/peerj-cs.2558
November 27, 2024
Enhancing brain tumor MRI classification with an ensemble of deep learning models and transformer integration
Nawal Benzorgat, Kewen Xia, Mustapha Noure Eddine Benzorgat
https://doi.org/10.7717/peerj-cs.2425
November 22, 2024
HierbaNetV1: a novel feature extraction framework for deep learning-based weed identification
Justina Michael, Thenmozhi Manivasagam
https://doi.org/10.7717/peerj-cs.2518
October 28, 2024
LocustLens: leveraging environmental data fusion and machine learning for desert locust swarm prediction
Sidra Khan, Beenish Ayesha Akram, Amna Zafar, Muhammad Wasim, Khaldoon S. Khurshid, Ivan Miguel Pires
https://doi.org/10.7717/peerj-cs.2420
October 25, 2024
FERDCNN: an efficient method for facial expression recognition through deep convolutional neural networks
Metwally Rashad, Doaa Alebiary, Mohammed Aldawsari, Ahmed Elsawy, Ahmed H. AbuEl-Atta
https://doi.org/10.7717/peerj-cs.2272
October 18, 2024
Learning-based short text compression using BERT models
Emir Öztürk, Altan Mesut
https://doi.org/10.7717/peerj-cs.2423
September 26, 2024
DistilRoBiLSTMFuse: an efficient hybrid deep learning approach for sentiment analysis
Sonia Khan Papia, Md Asif Khan, Tanvir Habib, Mizanur Rahman, Md Nahidul Islam
https://doi.org/10.7717/peerj-cs.2349
September 25, 2024
Multiple imputation methods: a case study of daily gold price
Ala Alrawajfi, Mohd Tahir Ismail, Sadam Al Wadi, Saleh Atiewi, Ahmad Awajan
https://doi.org/10.7717/peerj-cs.2337
September 20, 2024
LDAPrototype: a model selection algorithm to improve reliability of latent Dirichlet allocation
Jonas Rieger, Carsten Jentsch, Jörg Rahnenführer
https://doi.org/10.7717/peerj-cs.2279
August 8, 2024
Predicting the satisfiability of Boolean formulas by incorporating gated recurrent unit (GRU) in the Transformer framework
Wenjing Chang, Mengyu Guo, Junwei Luo
https://doi.org/10.7717/peerj-cs.2169
May 22, 2024
Aguhyper: a hyperledger-based electronic health record management framework
Beyhan Adanur Dedeturk, Burcu Bakir-Gungor
https://doi.org/10.7717/peerj-cs.2060
April 30, 2024
Application of BukaGini algorithm for enhanced feature interaction analysis in intrusion detection systems
Mohamed Aly Bouke, Azizol Abdullah, Korhan Cengiz, Sedat Akleylek
https://doi.org/10.7717/peerj-cs.2043