WANT A PROFILE LIKE THIS?
Create my FREE Plan Or learn about other options
Martina Iammarino
PeerJ Editor & Author
900 Points

Contributions by role

Editor 900

Contributions by subject area

Artificial Intelligence
Data Mining and Machine Learning
Data Science
Databases
Neural Networks
Algorithms and Analysis of Algorithms
Computer Vision
Optimization Theory and Computation
Bioinformatics
Computational Biology
Natural Language and Speech
Sentiment Analysis
Emerging Technologies
Security and Privacy
Spatial and Geographic Information Systems

Martina Iammarino

PeerJ Editor & Author

Summary

Martina Iammarino is a Tenured Assistant Professor at the Department of Computer Science and Technologies at Pegaso University in Naples.
She holds a Laurea degree in Computer Engineering in 2019 and a PhD degree in Information Technology for Engineering from the University of Sannio in 2023.

Her research focuses on software engineering, data quality, and process engineering, with a growing emphasis on artificial intelligence. Specifically, her work in AI has been pivotal in addressing challenges in the medical field, with a special interest in Parkinson's disease. Through the application of machine learning and deep learning techniques, her research has advanced understanding and innovation in diagnosing, monitoring, and managing this neurodegenerative disorder.

She has published extensively on AI methodologies applied in various domains and has contributed to the AI ​​and healthcare research community as a reviewer for several international conferences and journals.

In addition to serving on the program committee of several international conferences, Martina Iammarino is an Editorial Board Member for the journal Peerj, and is also one of the main organizers of the CISE Workshop "Computational Intelligence and Software Engineering" held at PROFES 2023.

Artificial Intelligence Data Mining & Machine Learning Software Engineering

Editorial Board Member

PeerJ Computer Science

Work details

Researcher

Telematic University Pegaso
Department of Information Science and Technology

Websites

  • Google Scholar

PeerJ Contributions

  • Articles 2
  • Edited 8
January 28, 2025
Process mining applications in healthcare: a systematic literature review
Lerina Aversano, Martina Iammarino, Antonella Madau, Giuseppe Pirlo, Gianfranco Semeraro
https://doi.org/10.7717/peerj-cs.2613
October 21, 2024
A systematic review on artificial intelligence approaches for smart health devices
Lerina Aversano, Martina Iammarino, Ilaria Mancino, Debora Montano
https://doi.org/10.7717/peerj-cs.2232

Academic Editor on

July 22, 2025
Fishing operation type recognition based on multi-branch convolutional neural network using trajectory data
Bohui Jiang, Weifeng Zhou
https://doi.org/10.7717/peerj-cs.3020
July 8, 2025
A study on an efficient citrus Huanglong disease detection algorithm based on three-channel aggregated attention
Yizong Wang, Zhengrong Xiao, Hong Wang, Fei Li, Jiya Tian
https://doi.org/10.7717/peerj-cs.2943
May 28, 2025
Comparative performance of twelve machine learning models in predicting COVID-19 mortality risk in children: a population-based retrospective cohort study in Brazil
Adriano Lages dos Santos, Maria Christina L. Oliveira, Enrico A. Colosimo, Robert H. Mak, Clara C. Pinhati, Stella C. Gallante, Hercílio Martelli-Júnior, Ana Cristina Simões e Silva, Eduardo A. Oliveira
https://doi.org/10.7717/peerj-cs.2916
May 8, 2025
A novel attention-based deep learning model for improving sentiment classification after the case of the 2023 Kahramanmaras/Turkey earthquake on Twitter
Serpil Aslan, Muhammed Yildirim
https://doi.org/10.7717/peerj-cs.2881
November 27, 2024
Artificial intelligence and machine learning approaches in cerebral palsy diagnosis, prognosis, and management: a comprehensive review
Shalini Dhananjay Balgude, Shilpa Gite, Biswajeet Pradhan, Chang-Wook Lee
https://doi.org/10.7717/peerj-cs.2505
October 22, 2024
Mitigating adversarial manipulation in LLMs: a prompt-based approach to counter Jailbreak attacks (Prompt-G)
Bhagyajit Pingua, Deepak Murmu, Meenakshi Kandpal, Jyotirmayee Rautaray, Pranati Mishra, Rabindra Kumar Barik, Manob Jyoti Saikia
https://doi.org/10.7717/peerj-cs.2374
October 14, 2024
Model for predicting drug resistance based on the clinical profile of tuberculosis patients using machine learning techniques
Igor Wenner Silva Falcao, Diego Lisboa Cardoso, Albert Einstein Coutinho dos Santos Santos, Erminio Paixao, Fernando Augusto R. Costa, Karla Figueiredo, Saul Carneiro, Marcos César da Rocha Seruffo
https://doi.org/10.7717/peerj-cs.2246
July 26, 2024
A hybrid approach based on k-means and SVM algorithms in selection of appropriate risk assessment methods for sectors
Fatih Topaloglu
https://doi.org/10.7717/peerj-cs.2198