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Luigi Di Biasi
PeerJ Editor, Author & Reviewer
1,180 Points

Contributions by role

Preprint Author 35
Reviewer 45
Editor 1,100

Contributions by subject area

Bioinformatics
Computational Science
Artificial Intelligence
Computer Vision
Data Science
Natural Language and Speech
Neural Networks
Algorithms and Analysis of Algorithms
Data Mining and Machine Learning
Optimization Theory and Computation
Real-Time and Embedded Systems
Spatial and Geographic Information Systems
Internet of Things
Security and Privacy
Computational Linguistics
World Wide Web and Web Science
Human-Computer Interaction
Brain-Computer Interface
Blockchain
Emerging Technologies
Software Engineering

Luigi Di Biasi

PeerJ Editor, Author & Reviewer

Summary

Luigi Di Biasi is a Researcher in the Department of Computer Science at the University of Salerno.

Since 2023, he has been a Deferred Tenured Teacher for the A041 STEM class at ITT Maria Curie – Naples (NATF190001).

He earned his Bachelor’s degree in Computer Science from the University of Salerno in 2010 and his Master’s degree in Computer Science in 2014. In 2023, he completed his PhD in Computer Science at the same university.

Starting from the 2023/24 academic year, he has been a lecturer and co-instructor for courses on Databases, Statistics, and Data Analysis.

Artificial Intelligence Bioinformatics Computational Science Data Science Statistics

Editorial Board Member

PeerJ - the Journal of Life & Environmental Sciences
PeerJ Computer Science

Past or current institution affiliations

University of Salerno

Work details

Research, Assistant Professor

University of Salerno
Computer Science

Websites

  • Google Scholar
  • Scopus
  • University of Salerno Personal Page

PeerJ Contributions

  • Preprints 1
  • Edited 4
July 1, 2016 - Version: 1
Receptor flexibility in molecular cross-docking
Lucia Sessa, Luigi Di BIasi, Rosaura Parisi, Simona Concilio, Stefano Piotto
https://doi.org/10.7287/peerj.preprints.2199v1

Academic Editor on

September 19, 2025
Hybrid ARIMA-LSTM for COVID-19 forecasting: a comparative AI modeling study
Al Mahmud, Syed Husni Noor Syed Hatim Noor, Kamarul Imran Musa, Firdaus Mohamad Hamzah, Zainab Mat Yudin, Noorshaida Kamaruddin, Ashwini M. Madawana, Mohamad Arif Awang Nawi
https://doi.org/10.7717/peerj-cs.3195
September 16, 2025
Research on the relationship and prediction model between nighttime lighting data, pm2.5 data, and urban GDP
Sen Chen, Junke Li
https://doi.org/10.7717/peerj-cs.3185
July 28, 2025
A hybrid deep learning framework for skin disease localization and classification using wearable sensors
Xiaoling Zhao, Huixin Zhang, Qian Zheng, Caihong Jing
https://doi.org/10.7717/peerj-cs.3002
July 15, 2025
Testing the knowledge of artificial intelligence chatbots in pharmacology: examples of two groups of drugs
Marcin Mateusz Granat, Aleksandra Paź, Dagmara Mirowska-Guzel
https://doi.org/10.7717/peerj-cs.2954