Malika Bendechache

Dr.

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Dr Malika Bendechache is a Lecturer/Assistant Professor in the School of Computing at Dublin City University (DCU) and a Funded Investigator at the ADAPT SFI research centre. I am also a member of the Lero SFI research centre.
She lectures in Blockchain and Distributed Ledger Technology. Malika's research interests span the areas of Big data Analytics, Machine Learning, Data Governance, Parallel and Distributed Systems, Cloud/Edge/Fog Computing, Blockchain, Security and Privacy.  Previously, she has held the position of Post-Doctoral Researcher at the Irish Institute of Digital Business (IIDB, dotLab) at DCU Business School. Her work was part of the RECAP Horizon 2020 project. She focused on developing the next generation Cloud/Edge/Fog Computing through Interoperability, Automation, and Simulation. Malika obtained her PhD in Computer Science at Insight Centre for Data Analytics, University College Dublin. Her PhD was on the design of a highly scalable distributed Big Data mining framework.
 

Peer Reviewed Journal

Year Publication
2021 Ranjbarzadeh, Ramin and Jafarzadeh Ghoushchi, Saeid and Bendechache, Malika and Amirabadi, Amir and Ab Rahman, Mohd Nizam and Baseri Saadi, Soroush and Aghamohammadi, Amirhossein and Kooshki Forooshani, Mersedeh (2021) 'Lung Infection Segmentation for COVID-19 Pneumonia Based on a Cascade Convolutional Network from CT Images'. 2021 .
2021 Bendechache, Malika and Svorobej, Sergej and Endo, Patricia Takako and Mihai, Adrian and Lynn, Theo (2021) 'Simulating and Evaluating a Real-World ElasticSearch System Using the RECAP DES Simulator'. 13 (4).
2020 Filelis-Papadopoulos, Christos K. and Endo, Patricia Takako and Bendechache, Malika and Svorobej, Sergej and Giannoutakis, Konstantinos M. and Gravvanis, George A. and Tzovaras, Dimitrios and Byrne, James and Lynn, Theo (2020) 'Towards simulation and optimization of cache placement on large virtual content distribution networks'. 39 .
2020 Ali, Wasim Ahmed and Manasa, KN and Aljunid, Mohammed and Bendechache, Malika and Sandhya, P and others (2020) 'A Review of Current Machine Learning Approaches for Anomaly Detection in Network Traffic'. 8 (4):64-95.
2020 Bendechache, Malika and Svorobej, Sergej and Takako Endo, Patricia and Lynn, Theo (2020) 'Simulating Resource Management across the Cloud-to-Thing Continuum: A Survey and Future Directions'. 12 (6).
2019 Svorobej, Sergej and Takako Endo, Patricia and Bendechache, Malika and Filelis-Papadopoulos, Christos and Giannoutakis, Konstantinos M. and Gravvanis, George A. and Tzovaras, Dimitrios and Byrne, James and Lynn, Theo (2019) 'Simulating fog and edge computing scenarios: An overview and research challenges'. 11 (3).
2019 Bendechache, Malika and Tari, A.-Kamel and Kechadi, M.-Tahar (2019) 'Parallel and distributed clustering framework for big spatial data mining'. 34 (6):671-689.

Book Chapter

Year Publication
2020 de Assis Neto, Silvano Ramos and Santos, Guto Leoni and da Silva Rocha, Elisson and Bendechache, Malika and Rosati, Pierangelo and Lynn, Theo and Endo, Patricia Takako (2020) 'Detecting Human Activities Based on a Multimodal Sensor Data Set Using a Bidirectional Long Short-Term Memory Model: A Case Study' In: : Springer.
2020 Sergej Svorobej, Malika Bendechache, Frank Griesinger, Jörg Domaschka (2020) 'Orchestration from the Cloud to the Edge' In: UK : Palgrave Macmillan, Cham. Link
2020 Spanopoulos-Karalexidis, Minas and Papadopoulos, Christos K Filelis and Giannoutakis, Konstantinos M and Gravvanis, George A and Tzovaras, Dimitrios and Bendechache, Malika and Svorobej, Sergej and Endo, Patricia Takako and Lynn, Theo (2020) 'Simulating Across the Cloud-to-Edge Continuum' In: : Springer.

Conference Publication

Year Publication
2020 Bendechache, Malika and Sudhanshu Limaye, Nihar and Brennan, Rob (2020) 23rd International Conference on Enterprise Information Systems Towards an automatic data value analysis method for relational databases
2020 Malika Bendechache, Takfarinas Saber, Gabriel-Miro Muntean, Irina Tal (2020) In International Symposium on High Performance Mobile Computing & Wireless Networks for HPC (MCWN) Application of blockchain technology to 5g-enabled vehicular networks: survey and future directions
2019 Bendechache, Malika and Silva, Ivanovitch and Santos, Guto Leoni and Guedes, Luiz Affonso and Svorobej, Sergej and Mario, Manuel Noya and Ares, M. Eduardo and Byrne, James and Endo, Patricia Takako and Lynn, Theo (2019) 2019 9th Latin-American Symposium on Dependable Computing (LADC) Analysing dependability and performance of a real-world Elastic Search application
2019 Bendechache, Malika and Svorobej, Sergej and Endo, Patricia Takako and Mario, Manuel Noya and Ares, M. Eduardo and Byrne, James and Lynn, Theo (2019) 2019 IEEE/ACM 23rd International Symposium on Distributed Simulation and Real Time Applications (DS-RT) Modelling and simulation of ElasticSearch using CloudSim
2017 Bendechache, Malika and Le-Khac, Nhien-An and Kechadi, M.-Tahar (2017) Australasian Conference on Data Mining Performance evaluation of a distributed clustering approach for spatial datasets
2016 Bendechache, Malika and Le-Khac, Nhien-An and Kechadi, M.-Tahar (2016) 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW) Hierarchical aggregation approach for distributed clustering of spatial datasets
2016 Bendechache, Malika and Kechadi, M.-Tahar and Le-Khac, Nhien-An (2016) 2016 IEEE International Conference on Data Science and Advanced Analytics (DSAA) Efficient large scale clustering based on data partitioning
2015 Bendechache, Malika and Kechadi, M.-Tahar (2015) 2015 2nd IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services (ICSDM) Distributed clustering algorithm for spatial data mining
Certain data included herein are derived from the © Web of Science (2021) of Clarivate. All rights reserved.

Professional Associations

Association Function From / To
Member of the SFI Centre for Research Training in Artificial Intelligence (CRT-AI) Supervisor -
Lero research centre Academic member/Collaborator -
ADAPT research centre Funded Investigator -
Member of the SFI Centre for Research Training in Machine Learning (ML-Lab) Supervisor -

Honors and Awards

Date Title Awarding Body
01/09/2012 Erasmus Mundus, Averroes scholarship European Commission
01/04/2021 Teaching Hero Award National Forum for the Enhancement of Teaching and Learning and the Union of Students in Ireland
01/02/2020 ADAPT Recognition Awards 2020-”Research Team Award” ADAPT research centre
01/07/2019 3rd Place in Challenge-Up-2019 competition: Multi-modal Fall Detection for Healthcare Deep Learning Competition
01/07/2015 Best Paper award International Conference on Spatial Data Mining

Committees

Committee Function From / To
Member of the School of Computing Ethics Committee -

Employment

Employer Position From / To
CONSUS Research Centre, University College Dublin Post Doctoral Researcher 02/01/2018 - 01/07/2018
IIDB, Business School, Dublin City University Post Doctoral Researcher 28/10/2018 - 31/12/2019
School of Computing, Dublin City University Assistant Professor 13/01/2020 - 12/01/2025

Education

Start date Institution Qualification Subject
University College Dublin PhD in Computer Science

Languages

Language Reading Writing Speaking
Arabic Fluent Fluent Fluent
English Fluent Fluent Fluent
French Fluent Fluent Fluent

Reviews

Journal Role
Information (MDPI) Reviewer

Research Interests

  • Big Data Analytics
  • Machine Learning
  • Data Governance 
  • Parallel & Distributed Systems
  • Cloud/Edge/Fog Computing
  • Blockchain & Distributed Ledger Technology
  • Data Protection & Ethics, Security and Privacy

Research Projects

Title Role Description Start date End date
AI-In-My-Life: AI, Ethics & Privacy Transition Year Workshops Collaborator 06/01/2021 06/12/2021
PRIVATT; Assessing the Irish Attitude to Privacy in Times of Covid-19 Co-PI 01/07/2020 01/04/2021

Current Postgraduate Students

Student Name Degree Supervision
Collins ,Brian PhD-track Supervisor

Internal Collaborators

Type Name Company Role
Internal Dr Rob Brennan Dublin City University/ADAPT Centre Academic
Internal Dr Irina Tal Dublin City University/Lero Centre Academic

External Collaborators

Type Name Company Role
External Prof. Theo Lynn DCU/Business School Academic
External Prof. Patricia Endo Universidade de Pernambuco Academic

Teaching Interests

  • Developing Blockchain Systems
  • Distributed Ledger Technology

Modules Coordinated

Term Title Subject
2022 Developing Blockchain Systems CA6001I
2022 Blockchain: Basics & Applications CA688I