Dr Malika Bendechache

Lecturer/Assistant Professor

School of Computer Science

University of Galway, Ireland

I have a strong background in Big data Analytics, Machine Learning, Data Governance, Parallel and Distributed Systems, Edge/Fog/IoT Analytics, Blockchain, Distributed Ledger Technology (DLT), Security and Privacy. I design novel Big Data Analytics and Machine Learning techniques to enhance the capability and efficiency of complex systems, and I also leverage complex systems to improve the effectiveness, privacy and trustworthiness of Analytics/Machine Learning techniques

Previously, I have held the position of Lecturer/Assistant Professor in the School of Computing at Dublin City University (DCU).

I have also occupied the position of Post-Doctoral Researcher at the Irish Institute of Digital Business (IIDB, dotLab), School of Business, Dublin City University (DCU). My work was part of the RECAP Horizon 2020 project that focused on the design and development of the next generation of Cloud and Edge/Fog computing through optimisation, automation and simulation (simulation of large-scale Cloud and Edge-/Fog- Computing environments). I have also held the position of Post-Doctoral Researcher at the CONSUS research centre, University College Dublin (UCD), Ireland, in collaboration with Origin Entreprises PLC. I Applied machine learning techniques on real agriculture data to improve sustainable crop production and management techniques, which will lead to more efficient food production with lower environmental impacts.

I obtained my PhD thesis in Computer Science in Insight Centre for Data Analytics, UCD. I have finished my PhD within 3 years. My PhD topic was `Study of Distributed Dynamic Clustering Framework for Spatial Data Mining': I proposed and developed a new distributed data mining framework to analyse Big Data within reasonable response time and produce accurate results while dealing with issues of high performance computing.

• My résumé

2022/2023

• Artificial Intelligence
• Secure Web programming

2020/2022

• Blockchain: Basic and Applications
• Developing Blockchain Systems

2018/2020

• Part Time Lecturer - Fundamentals of Statistics for Data Analytics -School of Computing/Business -CCT College Dublin

2015/2018

• Teacher Assistant - Modules (Cloud Computing, Data Mining, Information Theory, Intro to Java)- School of Computer Science -University College Dublin

Grants

Ph.D. (2018)

• Malika Bendechache, Study of Distributed Dynamic Clustering Framework for Spatial Data Mining, School of Computer Science, University College Dublin, Ireland
  

Activities and Awards

• Teaching Hero Awards from the National Forum for the Enhancementof Teaching and Learning and the Union of Students in Ireland
• ADAPT Recognition Awards 2020 as part of the COVID Rapid Response Teams in the category of “Research Team Award”
• 3rd Place at Challenge-Up-2019 competition in Challenge-Up-2019 competition: Multi-modal Fall Detection for Healthcare.
• Best paper award at International Conference on Spatial Data Mining (ICSDM-2015), with the paper entitled: "Distributed Clustering Algorithm For Spatial Data Mining".
• Mentoring BT Young Scientist 2016 Business Bootcamp working on the commercial and social development of their projects at NovaUCD.
• Participating in the Insight hackathon for data science 2016.
• Mentoring and encouraging teenage girls and their parents in GirlsHackIreland 2016 event to consider careers in STEM (Science, Technology, Engineering and Maths).

Journals

Check out Google Scholar for more recent publications.


• Bendechache, Malika, Sergej Svorobej, Patricia Takako, Endo, James Byrne, and Theo Lynn, Simulating resource management across the cloud to thing continuum: A survey and future directions, International Journal of Future Internet, 2020. Paper
• Christos Filelis-Papadopoulos, Patricia Takako Endo, Bendechache, Malika, Sergej Svorobej, Konstantinos M Giannoutakis, George A. Gravvanis, Dimitrios Tzovaras, James Byrne, and Theo Lynn, Towards simulation and optimisation of cache placement on large virtual content distribution networks, Journal of computational Scienc, 2019. Paper
• Sergej Svorobej, Patricia Endo, Bendechache, Malika, Giannoutakis Christosand, Konstantinos M., A. Gravvanis George, Tzovaras Dimitrios, James Byrne, and Theo Lynn, Simulating fog and edge computing scenarios: An overview and research challenges, An International Journal of Future Internet, 2019. Paper
• Malika bendechache, Abdelkamel A Kamel Tari and Tahar Kechadi, Parallel and distributed clustering framework for big spatial data mining, International Journal of Parallel Emergent and Distributed Systems, 2018. Paper

Conference Papers

Check out Google Scholar for more recent publications.


• Bendechache, Malika, Nihar Sudhanshu Limaye, and Rob Brennan, Towards an automatic data value analysis method for relational databases, 22nd International Conference on Entreprise Information Systems (ICEIS)), 2020.
• Bendechache, Malika, Silva Ivanovitch, Santos Guto, Leoni, Guedes Luiz, Affonso, Sergej Svorobej, Mario Manuel, Noya, Ares M. Eduardo, James Byrne, Patricia Endo, and Theo Lynn, Analysing dependability and performance of a real-world elastic search application, IEEE 9th Latin-American Symposium on Dependable computing (LADC), 2019.
• Bendechache, Malika, Sergej Svorobej, Patricia Endo, James Byrne, Mario Manuel, Noya, Ares M. Eduardo, and Theo Lynn, Modelling and simulation of elasticsearch using cloudsim, The 23rd International Symposium on Distributed Simulation and Real Time Applications (DS-RT), 2019.
• Malika bendechache, Nhien-An Le-Khac and Tahar Kechadi, Performance Evaluation of a Distributed Clustering Approach for Spatial Datasets, The 15th Australasian Data Mining Conference, 2018. Paper
• Malika bendechache, Nhien-An Le-Khac and Tahar Kechadi, Hierarchical Aggregation Approach for Distributed Clustering of Spatial Datasets, IEEE 16th International Conference Data Mining Workshops (ICDMW), 2016. Paper
• Malika bendechache, Tahar Kechadi and Nhien-An Le-Khac, Efficient Large Scale Clustering Based on Data Partitioning, IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2016. Paper
• Malika bendechache and Tahar Kechadi, Distributed Clustering Algorithm For Spacial Data Mining, The 2nd International Conference on Spatial Data Mining and Geographical Knowledge Services, 2015. Paper

Books / Book Chapters

• Spanopoulos-Karalexidis, Minas, Christos K. Filelis Papadopoulos, Konstantinos M. Giannoutakis, George A. Gravvanis, Dimitrios Tzovaras, Malika Bendechache, Sergej Svorobej, Patricia Takako Endo, and Theo Lynn. Simulating Across the Cloud-to-Edge Continuum. In Managing Distributed Cloud Applications and Infrastructure. pp. 93-115, Palgrave Macmillan, Cham. 2020
• Svorobej, Sergej, Malika Bendechache, Frank Griesinger, and Jörg Domaschka. Orchestration from the Cloud to the Edge. In The Cloud-to-Thing Continuum. pp. 61-77, Palgrave Macmillan, Cham. 2020
• Silvano Ramos de Assis Neto, Guto Leoni Santos, Elisson da Silva Rocha, Malika Bendechache, Pierangelo Rosati, Theo Lynn, and Patricia Takako Endo. Detecting human activities based on a multimodal sensor data set using a bidirectional long short-term memory model, Challenges and Trends in Multimodal Fall Detection for Healthcare< (chapter 4. Studies in Systems, Decision and Control). pp. 31-51. Springer, Cham. 2019

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