Malika Bendechache
Academic
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
2025
Bendechache, M, Connolly, R, Farayola,M, Saber. T, Tal, I.
2025.
A fairness-focused approach to recidivism prediction: implications for accuracy, trust, and equity.
AI & Society.
doi: 10.1007/s00146-025-02452-1.
2024
Bendechache, Malika, Kumar, Teerath, Mileo, Alessandra.
2024.
KeepOriginalAugment: Single Image-Based Better Information-Preserving Data Augmentation Approach.
In: Artificial Intelligence Applications and Innovations, Springer Nature Switzerland.
Bendechache, Malika, Connolly, Regina, Farayola, Michael Mayowa, Saber, Takfarinas, Tal, Irina.
2024.
Enhancing Algorithmic Fairness: Integrative Approaches and Multi-Objective Optimization Application in Recidivism Models.
In: Proceedings of the 19th International Conference on Availability, Reliability and Security, Association for Computing Machinery.
doi: 10.1145/3664476.3669978.
2023
Bendechache, Malika, Brennan, Rob, Kumar, Teerath, Mileo, Alessandra.
2023.
RSMDA: Random Slices Mixing Data Augmentation.
Applied Sciences, 13, 1711.
doi: 10.3390/app13031711.
Bendechache, Malika, Connolly, Regina, Farayola, Michael, Saber, Takfarinas, Tal, Irina.
2023.
Ethics and Trustworthiness of AI for Predicting the Risk of Recidivism: A Systematic Literature Review.
Information, 14, 426.
doi: 10.3390/info14080426.
Aghamohammadi, Amirhossein, Banihashem, Seyed, Bendechache, Malika, Ghoushchi, Saeid, Ranjbarzadeh, Ramin, Shirazi, Seyed, Shishechi, Saman.
2023.
A deep learning model for ergonomics risk assessment and sports and health monitoring in self-occluded images.
Signal, Image and Video Processing, 18, 1161-1173.
doi: 10.1007/s11760-023-02830-6.
Bendechache, Malika, Kumar, Teerath, Mileo, Alessandra, Saber, Takfarinas, Turab, Muhammad.
2023.
AudRandAug: Random Image Augmentations for Audio Classification.
2022
Aileni, Nandhini Reddy, Bendechache, Malika, Mitra, Soumi, Tal, Irina.
2022.
Towards An Optimised Vehicle Detection Algorithm For Multi-Object Tracking In Traffic Surveillance.
Aleem, Sidra, Bendechache, Malika, Brennan, Rob, Kumar, Teerath, Little, Suzanne, McGuinness, Kevin.
2022.
Random Data Augmentation based Enhancement: A Generalized Enhancement Approach for Medical Datasets.
doi: 10.56541/FUMF3414.
Bendechache, M, Brennan, R, Celeste, E, Lohar, P, Tal, I, Trestian, R, Xie, G.
2022.
The Privacy Paradox-investigating people’s attitude towards privacy in a time of COVID-19.
In: 14th International Conference on Communications.
doi: 10.1109/COMM54429.2022.9817170.
Anari, Shokofeh, Bendechache, Malika, Dorosti, Shadi, Ghoushchi, Saeid, Ranjbarzadeh, Ramin, Razmjooy, Navid, Safavi, Sadaf, Sarshar, Nazanin.
2022.
Nerve optic segmentation in CT images using a deep learning model and a texture descriptor.
Complex & Intelligent Systems.
doi: 10.1007/s40747-022-00694-w.
Bendechache, Malika, Kumar, Teerath, Saber, Takfarinas, Turab, Muhammad.
2022.
Investigating Multi-Feature Selection and Ensembling for Audio Classification.
doi: 10.48550/ARXIV.2206.07511.
Bendechache, Malika, Kooshki, Mersedeh, Ranjbarzadeh, Ramin, Saadi, Soroush, Sadeghi, Soroush, Sarshar, Nazanin.
2022.
Investigation of Effectiveness of Shuffled Frog-Leaping Optimizer in Training a Convolution Neural Network.
Journal of Healthcare Engineering, 2022, 1-11.
doi: 10.1155/2022/4703682.
Ahvanooey, Milad Taleby, Bendechache, Malika, Mazurczyk, Wojciech, Zhu, Mark Xuefang.
2022.
Information Hiding in Digital Textual Contents: Techniques and Current Challenges.
Computer, 55, 56-65.
doi: 10.1109/MC.2021.3113922.
Bendechache, Malika, Saber, Takfarinas.
2022.
DiLLeMa: A Framework for Collaborative Multi-Cultural Lecturing Material in International University Colleges.
doi: 10.1109/LACLO54177.2021.00074.
2020
Bendechache, Malika, Brennan, Rob, Limaye, Nihar.
2020.
Towards an Automatic Data Value Analysis Method for Relational Databases.
doi: 10.5220/0009575508330840.
Bendechache, Malika, Endo, Patricia, Lynn, Theodore, Svorobej, Sergej.
2020.
Simulating Resource Management across the Cloud-to-Thing Continuum: A Survey and Future Directions.
Future Internet, 12, 95.
doi: 10.3390/fi12060095.
Bendechache, Malika, Endo, Patricia, Filelis-Papadopoulos, Christos, Giannoutakis, Konstantinos, Gravvanis, George, Lynn, Theodore, Spanopoulos-Karalexidis, Minas, Svorobej, Sergej, Tzovaras, Dimitrios.
2020.
Simulating Across the Cloud-to-Edge Continuum.
93-115.
doi: 10.1007/978-3-030-39863-7_5.
Bendechache, Malika, Domaschka, J{"o}rg, Griesinger, Frank, Svorobej, Sergej.
2020.
Orchestration from the Cloud to the Edge.
61-77.
doi: 10.1007/978-3-030-41110-7_4.
Bendechache, Malika, Muntean, Gabriel-Miro, Saber, Takfarinas, Tal, Irina.
2020.
Application of Blockchain Technology to 5G-Enabled Vehicular Networks: Survey and Future Directions.
Contact Details
University of Galway