Scholar
Alejandro Guerra-Manzanares
Google Scholar ID: X11hZ6QAAAAJ
Assistant Professor in Computer Science, University of Nottingham Ningbo China
Citations & Impact
Citations
724
H-index
14
i10-index
19
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- - h-index: 514
- - Scopus Citations: 13
- - Research output since 2019: 5 in 2019, 1 in 2020, 1 in 2021, 5 in 2022, 6 in 2023, 6 expected in 2024, 2 expected in 2025.
- - Professional Activities: General Co-Chair, International Conference on Artificial Intelligence for Cyber Security (AICSEC) 2023, Bratislava.
Research Experience
- - 2023-2024: Postdoctoral Research Associate at the Clinical AI Lab, New York University Abu Dhabi, focusing on multimodal learning, federated learning, and machine learning for healthcare.
- - During his doctoral studies, he briefly worked as a Machine Learning Engineer with the mobile research team at MalwareBytes.
Education
- - PhD in Information and Communication Technology / Computer Science, Tallinn University of Technology, 2022, specializing in applying machine learning to cybersecurity problems, particularly in detecting and characterizing evolving threats in mobile systems and IoT networks.
- - MSc in Cybersecurity (specializing in Digital Forensics), Tallinn University of Technology and University of Tartu, 2018.
- - BS in ICT Engineering, Polytechnic University of Catalonia, Spain.
- - BA in Criminology, Autonomous University of Barcelona, Spain.
Background
- - Research Interests: Machine learning, cybersecurity, and healthcare, focusing on innovative applications of machine learning to solve real-world problems.
- - Professional Areas: Deep learning, digital forensics (mobile, system forensics), cybersecurity (systems security, network security), computer vision, multimodal machine learning, machine learning for healthcare, machine learning for cybersecurity, explainable AI (XAI), AI robustness and concept drift, adversarial machine learning and machine learning security, privacy-preserving machine learning, federated learning, active learning, generative AI (LLMs).
- - Brief Introduction: He has been an Assistant Professor at the School of Computer Science, University of Nottingham Ningbo China since October 2024. Before joining UNNC, he was a Postdoctoral Research Associate at the Clinical AI Lab at New York University Abu Dhabi from 2023 to 2024, where his work focused on multimodal learning, federated learning, and machine learning for healthcare.
Miscellany
- - Seeking dedicated and motivated MRes and PhD students; scholarships can be provided for excellent PhD students.
- - Passionate about research and open to collaborations in fundamental machine learning, cybersecurity, and related areas.
Co-authors