Dr Malika Bendechache

B.Sc., M.Sc., PhD

Contact Details

Lecturer Above The Bar
E: Malika.Bendechache@nuigalway.ie
 
researcher
 

Biography

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 and Lero SFI research centres.

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 Entreprises 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".

Research Interests

Big Data Analytics
Machine Learning
Artificial Intelligence (AI)
Data & AI Governance
Data Value & Risk
Trustworthy AI
Security and Privacy 

Research Projects

  Project Start Date End Date
Ethics and Trustworthiness of Algorithmic Decision-making Systems in the Public Sector 01-SEP-21
AI in My Life II: Ethics & Privacy Transition Year Workshops 01-JAN-21 01-JUN-23
Assessing Irish Attitudes to Privacy in Times of COVID19 13-JUL-20 01-APR-21

Peer Reviewed Journals

  Year Publication
(2023) 'RSMDA: Random Slices Mixing Data Augmentation'
Kumar, Teerath and Mileo, Alessandra and Brennan, Rob and Bendechache, Malika (2023) 'RSMDA: Random Slices Mixing Data Augmentation'. Applied Sciences, 13 (3) [Details]
(2023) 'ME-CCNN: Multi-encoded images and a cascade convolutional neural network for breast tumor segmentation and recognition'
Ranjbarzadeh, Ramin and Jafarzadeh Ghoushchi, Saeid and Tataei Sarshar, Nazanin and Tirkolaee, Erfan Babaee and Ali, Sadia Samar and Kumar, Teerath and Bendechache, Malika (2023) 'ME-CCNN: Multi-encoded images and a cascade convolutional neural network for breast tumor segmentation and recognition'. Artificial Intelligence Review, :1-38 [Details]
(2023) 'Measuring node decentralisation in blockchain peer to peer networks'
Howell, Andrew and Saber, Takfarinas and Bendechache, Malika (2023) 'Measuring node decentralisation in blockchain peer to peer networks'. Blockchain: Research and Applications, 4 (1) [ARAN Link] [Details]
(2022) 'Brain Tumor Segmentation based on an Optimized Convolutional Neural Network and an Improved Chimp Optimization Algorithm'
Ranjbarzadeh, Ramin and Zarbakhsh, Payam and Caputo, Annalina and Tirkolaee, Erfan Babaee and Bendechache, Malika (2022) 'Brain Tumor Segmentation based on an Optimized Convolutional Neural Network and an Improved Chimp Optimization Algorithm'. Available at SSRN 4295236, [Details]
(2022) 'Investigation of effectiveness of shuffled frog-leaping optimizer in training a convolution neural network'
Baseri Saadi, Soroush and Tataei Sarshar, Nazanin and Sadeghi, Soroush and Ranjbarzadeh, Ramin and Kooshki Forooshani, Mersedeh and Bendechache, Malika (2022) 'Investigation of effectiveness of shuffled frog-leaping optimizer in training a convolution neural network'. Journal of Healthcare Engineering, 2022 [Details]
(2022) 'A deep learning approach for robust, multi-oriented, and curved text detection'
Ranjbarzadeh, Ramin and Jafarzadeh Ghoushchi, Saeid and Anari, Shokofeh and Safavi, Sadaf and Tataei Sarshar, Nazanin and Babaee Tirkolaee, Erfan and Bendechache, Malika (2022) 'A deep learning approach for robust, multi-oriented, and curved text detection'. Cognitive Computation, :1-13 [Details]
(2022) 'Brain tumor segmentation of MRI images: A comprehensive review on the application of artificial intelligence tools'
Ranjbarzadeh, Ramin and Caputo, Annalina and Tirkolaee, Erfan Babaee and Ghoushchi, Saeid Jafarzadeh and Bendechache, Malika (2022) 'Brain tumor segmentation of MRI images: A comprehensive review on the application of artificial intelligence tools'. Computers in Biology and Medicine, [Details]
(2022) 'MRFE-CNN: multi-route feature extraction model for breast tumor segmentation in Mammograms using a convolutional neural network'
Ranjbarzadeh, Ramin and Tataei Sarshar, Nazanin and Jafarzadeh Ghoushchi, Saeid and Saleh Esfahani, Mohammad and Parhizkar, Mahboub and Pourasad, Yaghoub and Anari, Shokofeh and Bendechache, Malika (2022) 'MRFE-CNN: multi-route feature extraction model for breast tumor segmentation in Mammograms using a convolutional neural network'. Annals of Operations Research, :1-22 [Details]
(2022) 'Random data augmentation based enhancement: a generalized enhancement approach for medical datasets'
Aleem, Sidra and Kumar, Teerath and Little, Suzanne and Bendechache, Malika and Brennan, Rob and McGuinness, Kevin (2022) 'Random data augmentation based enhancement: a generalized enhancement approach for medical datasets'. arXiv preprint arXiv:2210.00824, [Details]
(2022) 'Information Hiding in Digital Textual Contents: Techniques and Current Challenges'
Ahvanooey, Milad Taleby and Zhu, Mark Xuefang and Mazurczyk, Wojciech and Bendechache, Malika (2022) 'Information Hiding in Digital Textual Contents: Techniques and Current Challenges'. Computer, 55 (6):56-65 [Details]
(2022) 'Forged character detection datasets: passports, driving licences and visa stickers'
Kumar, Teerath and Turab, Muhammad and Talpur, Shahnawaz and Brennan, Rob and Bendechache, Malika (2022) 'Forged character detection datasets: passports, driving licences and visa stickers'. Int. J. Artif. Intell. Appl, 13 (2):21-35 [Details]
(2022) 'Nerve optic segmentation in CT images using a deep learning model and a texture descriptor'
Ranjbarzadeh, Ramin and Dorosti, Shadi and Jafarzadeh Ghoushchi, Saeid and Safavi, Sadaf and Razmjooy, Navid and Tataei Sarshar, Nazanin and Anari, Shokofeh and Bendechache, Malika (2022) 'Nerve optic segmentation in CT images using a deep learning model and a texture descriptor'. Complex \& Intelligent Systems, 8 (4):3543-3557 [Details]
(2022) 'Breast tumor localization and segmentation using machine learning techniques: Overview of datasets, findings, and methods'
Ranjbarzadeh, Ramin and Dorosti, Shadi and Ghoushchi, Saeid Jafarzadeh and Caputo, Annalina and Tirkolaee, Erfan Babaee and Ali, Sadia Samar and Arshadi, Zahra and Bendechache, Malika (2022) 'Breast tumor localization and segmentation using machine learning techniques: Overview of datasets, findings, and methods'. Computers in Biology and Medicine, [Details]
(2022) 'Investigating multi-feature selection and ensembling for audio classification'
Turab, Muhammad and Kumar, Teerath and Bendechache, Malika and Saber, Takfarinas (2022) 'Investigating multi-feature selection and ensembling for audio classification'. arXiv preprint arXiv:2206.07511, [Details]
(2021) 'TPCNN: two-path convolutional neural network for tumor and liver segmentation in CT images using a novel encoding approach'
Aghamohammadi, Amirhossein and Ranjbarzadeh, Ramin and Naiemi, Fatemeh and Mogharrebi, Marzieh and Dorosti, Shadi and Bendechache, Malika (2021) 'TPCNN: two-path convolutional neural network for tumor and liver segmentation in CT images using a novel encoding approach'. Expert Systems with Applications, 183 [Details]
(2021) 'Privacy in a time of covid-19: How concerned are you?'
Trestian, Ramona and Xie, Guodong and Lohar, Pintu and Celeste, Edoardo and Bendechache, Malika and Brennan, Rob and Jayasekera, Evgeniia and Connolly, Regina and Tal, Irina (2021) 'Privacy in a time of covid-19: How concerned are you?'. IEEE Security \& Privacy, 19 (5):26-35 [Details]
(2021) 'AUDD: audio Urdu digits dataset for automatic audio Urdu digit recognition'
Chandio, Aisha and Shen, Yao and Bendechache, Malika and Inayat, Irum and Kumar, Teerath (2021) 'AUDD: audio Urdu digits dataset for automatic audio Urdu digit recognition'. Applied Sciences, 11 (19) [Details]
(2021) 'Osteolysis: a literature review of basic science and potential computer-based image processing detection methods'
Saadi, Soroush Baseri and Ranjbarzadeh, Ramin and Amirabadi, Amir and Ghoushchi, Saeid Jafarzadeh and Kazemi, Oveis and Azadikhah, Sonya and Bendechache, Malika and others (2021) 'Osteolysis: a literature review of basic science and potential computer-based image processing detection methods'. Computational Intelligence and Neuroscience, 2021 [Details]
(2021) 'An extended approach to predict retinopathy in diabetic patients using the genetic algorithm and fuzzy C-means'
Ghoushchi, Saeid Jafarzadeh and Ranjbarzadeh, Ramin and Dadkhah, Amir Hussein and Pourasad, Yaghoub and Bendechache, Malika (2021) 'An extended approach to predict retinopathy in diabetic patients using the genetic algorithm and fuzzy C-means'. BioMed Research International, 2021 :1-13 [Details]
(2021) 'Brain tumor segmentation based on deep learning and an attention mechanism using MRI multi-modalities brain images'
Ranjbarzadeh, Ramin and Bagherian Kasgari, Abbas and Jafarzadeh Ghoushchi, Saeid and Anari, Shokofeh and Naseri, Maryam and Bendechache, Malika (2021) 'Brain tumor segmentation based on deep learning and an attention mechanism using MRI multi-modalities brain images'. Scientific Reports, 11 (1):1-17 [Details]
(2021) 'Simulating and Evaluating a Real-World ElasticSearch System Using the RECAP DES Simulator'
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'. Future Internet, 13 (4) [Details]
(2021) 'Lung infection segmentation for COVID-19 pneumonia based on a cascade convolutional network from CT images'
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'. BioMed Research International, 2021 :1-16 [Details]
(2020) 'Orchestration from the Cloud to the Edge'
Svorobej, Sergej and Bendechache, Malika and Griesinger, Frank and Domaschka, J\"org (2020) 'Orchestration from the Cloud to the Edge'. The Cloud-to-Thing Continuum: Opportunities and Challenges in Cloud, Fog and Edge Computing, :61-77 [Details]
(2020) 'Simulating across the cloud-to-edge continuum'
Spanopoulos-Karalexidis, Minas and Filelis Papadopoulos, Christos K 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'. Managing Distributed Cloud Applications and Infrastructure: A Self-Optimising Approach, :93-115 [Details]
(2020) 'Detecting human activities based on a multimodal sensor data set using a bidirectional long short-term memory model: a case study'
de Assis Neto, Silvano Ramos and Santos, Guto Leoni and da Silva Rocha, Elisson and Bendechache, Malika and Rosati, Pierangelo and Lynn, Theo and Takako Endo, Patricia (2020) 'Detecting human activities based on a multimodal sensor data set using a bidirectional long short-term memory model: a case study'. Challenges and Trends in Multimodal Fall Detection for Healthcare, :31-51 [Details]
(2020) 'Towards simulation and optimization of cache placement on large virtual content distribution networks'
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'. Journal of Computational Science, 39 [Details]
(2020) 'A review of current machine learning approaches for anomaly detection in network traffic'
Ali, Wasim A and Manasa, KN and Bendechache, Malika and Fadhel Aljunaid, Mohammed and Sandhya, P (2020) 'A review of current machine learning approaches for anomaly detection in network traffic'. Journal of Telecommunications and the Digital Economy, 8 (4):64-95 [Details]
(2020) 'Simulating resource management across the cloud-to-thing continuum: A survey and future directions'
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'. Future Internet, 12 (6) [Details]
(2019) 'Simulating fog and edge computing scenarios: An overview and research challenges'
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'. Future Internet, 11 (3) [Details]
(2019) 'Parallel and distributed clustering framework for big spatial data mining'
Bendechache, Malika and Tari, A-Kamel and Kechadi, M-Tahar (2019) 'Parallel and distributed clustering framework for big spatial data mining'. International Journal of Parallel, Emergent and Distributed Systems, 34 (6):671-689 [Details]
(2017) 'Distributed Spatial Data Clustering as a New Approach for Big Data Analysis'
Bendechache, Malika and Le-Khac, Nhien-An and Kechadi, M and others (2017) 'Distributed Spatial Data Clustering as a New Approach for Big Data Analysis'. arXiv preprint arXiv:1710.09593, [Details]

Honours and Awards

  Year Title Awarding Body
2022 Researcher of the Year Award SFI ADAPT Research Centre
2021 Teaching Hero Awards National Forum for the Enhancement of Teaching and Learning and the Union of Students in Ireland
2020 ADAPT Recognition Awards SFI ADAPT Research Centre
2015 Best paper award International Conference on Spatial Data Mining

Professional Associations

  Association Function From / To
Lero, Science Foundation Ireland Research Centre for Software Funded Investigator 03-MAR-20 /
ADAPT, SFI Global Centre of Excellence for Digital Content Technology Funded Investigator 02-JAN-20 /
SFI Centre for Research Training in Artificial Intelligence (CRT-AI) Member and supervisor 03-MAR-20 /

Committees

  Committee Function From / To
School of Computer Science Equality, Diversity, Inclusion committee Member /

Employment

  Employer Position From / To
School of Computer Science, University of Galway Lecturer Above the Bar/Assist.Prof 01-SEP-22 /
School of Computing, Dublin city University Assistant Prof. 03-JAN-22 / 08-AUG-22
School of Business, Dublin city University Post-Doctoral Researcher 01-OCT-18 / 29-NOV-19
School of Computer Science, University College Dublin Post-Doctoral Researcher 10-JAN-18 / 06-JUL-18

Education

  Year Institution Qualification Subject
2018 University College Dublin (Insight) PhD Computer Science
2014 Waterford Institute of Technology (WIT) Erasmus Mundus Averroes Fellowship Computer Science

Languages

  Language
French
Arabic
English

Modules Taught

  Term/Year Module Title Module Code Subject / Desc
Sem 1 Artificial Intelligence CT319
Sem 1 Sociatal Impact of AI and Cybersecurity CT5190 AI Governance and Ethics
Sem 2 Secure Web Programming CT5173