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Malika Bendechache

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Malika Bendechache's picture
University of Galway

Contact Details

OFFICE: IT410

TEL: +353 (0)91 493552

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Dr Malika Bendechache is a Lecturer Above the Bar in the School of Computer Science, at the University of Galway and an SFI Funded Investigator at the ADAPT SFI research centre.

Malika has a strong background in Big data Analytics, Machine Learning, AI & Data Governance, Security and Privacy. She designs novel Big Data Analytics and Machine Learning techniques to enhance the capability and efficiency of complex systems, and she also leverages complex systems to improve the effectiveness, privacy and trustworthiness of Analytics/Machine Learning techniques.

Previously, Malika held the position of Lecturer/Assistant Professor in the School of Computing at Dublin City University (DCU). She has also occupied the position of Post-Doctoral Researcher at the Irish Institute of Digital Business (IIDB, dotLab), School of Business, Dublin City University (DCU) and at the CONSUS research centre, University College Dublin (UCD), Ireland, in collaboration with Origin Enterprises PLC. 

Malika obtained her PhD thesis in Computer Science in Insight Centre for Data Analytics, UCD. Her PhD topic was "Study of Distributed Dynamic Clustering Framework for Spatial Data Mining".

  • Publications
2022
Howell A, Saber T, Bendechache M.  2022.  Measuring node decentralisation in blockchain peer to peer networks. Blockchain: Research and Applications. :100109.
2021
Bendechache M, Saber T, Muntean G-M, Tal I.  2021.  Application of blockchain technology to 5G-enabled vehicular networks: survey and future directions .
Ranjbarzadeh R, Ghoushchi SJafarzadeh, Bendechache M, Amirabadi A, Rahman MNizam Ab, Saadi SBaseri, Aghamohammadi A, Forooshani MKooshki.  2021.  Lung Infection Segmentation for COVID-19 Pneumonia Based on a Cascade Convolutional Network from CT Images. Biomed Res Int. .
2020
Ali W, N M, Aljunid MFadhel, Bendechache M, Sandhya P..  2020.  A Review of Current Machine Learning Approaches for Anomaly Detection in Network Traffic. Journal of Telecommunications and the Digital Economy. 8:64-95.

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