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About University of Galway
About University of Galway
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Research & Innovation
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Business & Industry
Guiding Breakthrough Research at University of Galway
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Community Engagement
Community Engagement
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Accessibility & LanguageComputer Science
Dr Malika Bendechache
B.Sc., M.Sc., PhD
Contact Details
Lecturer Above The Bar
E: Malika.Bendechache@nuigalway.ie
E: Malika.Bendechache@nuigalway.ie
Biography
Research Interests
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] |
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| (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] |
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| (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] |
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| (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] |
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| (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] |
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| (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] |
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| (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] |
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| (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] |
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| (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] |
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| (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] |
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| (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] |
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| (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] |
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| (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] |
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| (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] |
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| (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] |
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| (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] |
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| (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] |
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| (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] |
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| (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] |
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| (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] |
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| (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] |
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| (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] |
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| (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] |
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| (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] |
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| (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] |
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| (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 |
