Welcome!
I’m Alejandro Guerra Manzanares ( aka Alex ).
I am an Assistant Professor of Computer Science at the University of Nottingham Ningbo China (UNNC). Prior to joining UNNC, I was a postdoctoral associate at the Clinical AI lab at New York University Abu Dhabi. I obtained a Ph.D. degree in Computer Science / Information Technology from TalTech (Estonia), focusing on machine learning for cyber security at the Center for Digital Forensics and Cyber Security.
My research interests lie in the intersection between machine learning, cyber security, and healthcare. For more info on my research, please check my research projects and publications.
Alejandro Guerra Manzanares
Education
Experience
Datasets
Selected Publications
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List of Publications
S. Shurrab*, A. Guerra-Manzanares*, and F. E Shamout. Multimodal masked siamese network improves chest X-ray representation learning. Scientific Reports.
DOI: https://doi.org/10.1038/s41598-024-74043-x
machine learning healthcare
S. Shurrab, A. Guerra-Manzanares*, A. Magid, B. Piechowski-Jozwiak, S. F. Atashzar, and F. E. Shamout. Multimodal Machine Learning for Stroke Prognosis and Diagnosis: A Systematic Review. IEEE Journal of Biomedical and Health Informatics.
DOI: https://doi.org/10.1109/JBHI.2024.3448238
machine learning healthcare
A. Guerra-Manzanares, and H. Bahsi. Experts still needed: boosting long-term android malware detection with active learning. Journal of Computer Virology and Hacking Techniques.
DOI: https://doi.org/10.1007/s11416-024-00536-y
machine learning cyber security
R. Vaarandi, and A. Guerra-Manzanares. Network IDS alert classification with active learning techniques. Journal of Information Security and Applications.
DOI: https://doi.org/10.1016/j.jisa.2023.103687
machine learning cyber security
R. Vaarandi, and A. Guerra-Manzanares. Stream clustering guided supervised learning for classifying NIDS alerts. Future Generation Computer Systems.
DOI: https://doi.org/10.1016/j.future.2024.01.032
machine learning cyber security
A. Guerra-Manzanares*, L.J.L. Lopez*, M. Maniatakos, F.E. Shamout. Privacy-Preserving Machine Learning for Healthcare: Open Challenges and Future Perspectives. Workshop on Trustworthy Machine Learning for Healthcare, International Conference on Learning Representations (ICLR).
DOI: https://doi.org/10.1007/978-3-031-39539-0_3
machine learning healthcare
A. Guerra-Manzanares, and H. Bahsi. On the Application of Active Learning to Handle Data Evolution in Android Malware Detection. International Conference on Digital Forensics and Cyber Crime (ICDF2C).
DOI: https://doi.org/10.1007/978-3-031-36574-4_15
machine learning cyber security
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Endorsements
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An extremely detailed and comprehensive description goes here, providing an extensive amount of information about the topic
An extremely detailed and comprehensive description goes here, providing an extensive amount of information about the topic
An extremely detailed and comprehensive description goes here, providing an extensive amount of information about the topic
Big Names I Worked With
Contact Me
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