Profile Boudour Ammar
First Name
Boudour
Last Name
Ammar
Address
Route Manzel Chaker
Zip code
3038
Biography
Boudour Ammar received a PhD in Computer Science in 2014 and Habilitation to Direct Research (HDR) in 2023 from the National Engineering School of Sfax (ENIS) with the Research Group on Intelligent Machines (REGIM), University of Sfax.
She is currently an A. professor with the Department of Computer Engineering and Applied Mathematics at National Engineering School of Sfax (ENIS).
In recent years, Dr. Boudour published many highly cited research papers in IEEE Transaction of neural Networks and Learning systems, IEEE Transactions on Affective Computing, Neural Processing Letters, Applied Soft Computing, Neurocomputing, Cybernetics & systems and cognitive computation journals. She also published papers in conferences such as International Joint Conference on Neural Networks (IJCNN), International Conference on Neural Information Processing, IEEE International Conference on Systems, Man, and Cybernetics. Her research interests include iBrain (Machine learning, Brain Computing Interaction, Recurrent neural Network) and i-health (Autonomous Robots, Intelligent Control, medical applications, EEG and ECG signals).
Boudour has been trusted with different duties: a technical chair, a TPC member, and a reviewer for many leading international CS conferences and journals. She is a coordinator and a member of research projects at the Ministry of Higher Education and Scientific Research, Tunisia.
Research Interests
machine learning, Brain Computing interaction, e-health
H-index: 16 Total citation: 979
📚 Scientific Publications
| Title & Authors | Conference/Revue | Year | Citations |
|---|---|---|---|
| BATT2GRAPH: A Hybrid CNN-LSTM and Temporal Graph-Based Approach for Lithium-Ion Battery SOH Prediction and Anomaly Detection H Akid, MW Mabrouk, S Arbaoui, A Samet, B Ammar |
International Conference on Information Integration and Web Intelligence�…, 2025 | 2025 | 0 |
| Transformer-based deep neural networks for short-term solar power prediction in the Middle East and North Africa regions G Cheikh, B Ammar, N Benhadj, KA Bentounes, HA Bentounes, A Ksibi, ... |
Engineering Applications of Artificial Intelligence 160, 111848, 2025 | 2025 | 5 |
| Brain Tumor Classification with Hybrid Deep Learning Models from MRI Images D Boubdellaha, R Mokni, B Ammar |
2025 | 2 | |
| Improved Alzheimer’s Detection from Brain MRI via Transfer Learning on Pre-Trained Convolutional Deep Models M Jallali, R Mokni, B Ammar |
learning 86, 94, 2025 | 2025 | 0 |
| A Multi-view Spatio-Temporal EEG Feature Learning for Cross-Subject Motor Imagery Classification A Hameed, R Fourati, B Ammar, J Sanchez-Medina, H Ltifi |
International Conference on Computational Collective Intelligence, 393-405, 2024 | 2024 | 0 |
| Enhanced intrusion detection based hybrid meta-heuristic feature selection AH Ali, B Ammar, M Charfeddine, BB Hamed |
International Conference on Computational Collective Intelligence, 3-15, 2024 | 2024 | 6 |
| Temporal Focal Modulation Networks for EEG-Based Cross-Subject Motor Imagery Classification A Hameed, R Fourati, B Ammar, J Sanchez-Medina, H Ltifi |
International Conference on Computational Collective Intelligence, 445-457, 2024 | 2024 | 1 |
| Unveiling machine learning strategies and considerations in intrusion detection systems: a comprehensive survey AH Ali, M Charfeddine, B Ammar, BB Hamed, F Albalwy, A Alqarafi, ... |
Frontiers in Computer Science 6, 1387354, 2024 | 2024 | 36 |
| Intrusion detection schemes based on synthetic minority oversampling technique and machine learning models AH Ali, M Charfeddine, B Ammar, BB Hamed |
2024 IEEE 27th International Symposium on Real-Time Distributed Computing�…, 2024 | 2024 | 13 |
| Towards automated optimization of residual convolutional neural networks for electrocardiogram classification Z Fki, B Ammar, MB Ayed |
Cognitive Computation 16 (3), 1334-1344, 2024 | 2024 | 13 |
| A novel IoT-based deep neural network for COVID-19 detection using a soft-attention mechanism Z Fki, B Ammar, R Fourati, H Fendri, A Hussain, M Ben Ayed |
Multimedia Tools and Applications 83 (18), 54989-55009, 2024 | 2024 | 7 |
| Temporal–spatial transformer based motor imagery classification for BCI using independent component analysis A Hameed, R Fourati, B Ammar, A Ksibi, AS Alluhaidan, MB Ayed, ... |
Biomedical Signal Processing and Control 87, 105359, 2024 | 2024 | 45 |
| Deep CNN-LSTM Autoencoder for Solar Irradiation Prediction G Cheikh, NB Hadj, B Ammar, KA Bentounes, HA Bentounes, A Larbi |
2023 IEEE International Conference on Artificial Intelligence & Green Energy�…, 2023 | 2023 | 3 |
| Finite-time complete periodic synchronization of memristive neural networks with mixed delays H Brahmi, B Ammar, A Ksibi, F Cherif, G Aldehim, AM Alimi |
Scientific Reports 13 (1), 12545, 2023 | 2023 | 3 |
| Deep learning and intelligent robots in government H Brahmi, B Ammar |
Handbook of Research on Applied Artificial Intelligence and Robotics for�…, 2023 | 2023 | 3 |
| A novel internet of things based on deep neural network framework using soft-attention convolutional neural networks for COVID-19 detection Z Fki, B Ammar, R Fourati, H Fendri, E Daoued, Z Mnif, A Hussain, ... |
2022 | 0 | |
| Novel single and multi-layer echo-state recurrent autoencoders for representation learning N Chouikhi, B Ammar, A Hussain, AM Alimi |
Engineering Applications of Artificial Intelligence 114, 105051, 2022 | 2022 | 11 |
| Towards automated optimisation of residual convolutional neural networks for electrocardiogram classification Z Fki, B Ammar, MB Ayed |
arXiv preprint arXiv:2112.06024, 2021 | 2021 | 1 |
| EEG feature learning with intrinsic plasticity based deep echo state network R Fourati, B Ammar, Y Jin, AM Alimi |
2020 international joint conference on neural networks (IJCNN), 1-8, 2020 | 2020 | 19 |
| Unsupervised learning in reservoir computing for EEG-based emotion recognition R Fourati, B Ammar, J Sanchez-Medina, AM Alimi |
IEEE Transactions on Affective Computing 13 (2), 972-984, 2020 | 2020 | 76 |
| Bi-level multi-objective evolution of a multi-layered echo-state network autoencoder for data representations N Chouikhi, B Ammar, A Hussain, AM Alimi |
Neurocomputing 341, 195-211, 2019 | 2019 | 31 |
| On the weighted pseudo-almost periodic solution for BAM networks with delays B Ammar, H Brahmi, F Ch�rif |
Neural Processing Letters 48 (2), 849-862, 2018 | 2018 | 10 |
| Hierarchical bi-level multi-objective evolution of single-and multi-layer echo state network autoencoders for data representations N Chouikhi, B Ammar, AM Alimi |
arXiv preprint arXiv:1806.01016, 2018 | 2018 | 3 |
| Machine learning with internet of things data for risk prediction: application in ESRD Z Fki, B Ammar, MB Ayed |
2018 12th International Conference on Research Challenges in Information�…, 2018 | 2018 | 20 |
| Risk prediction in smart home care FKI Zeineb, A Boudour, BA Mounir |
2018 IEEE 32nd International Conference on Advanced Information Networking�…, 2018 | 2018 | 4 |
| Genesis of basic and multi-layer echo state network recurrent autoencoders for efficient data representations N Chouikhi, B Ammar, AM Alimi |
arXiv preprint arXiv:1804.08996, 2018 | 2018 | 25 |
| Optimized echo state network with intrinsic plasticity for EEG-based emotion recognition R Fourati, B Ammar, C Aouiti, J Sanchez-Medina, AM Alimi |
International conference on neural information processing, 718-727, 2017 | 2017 | 45 |
| PSO-based analysis of Echo State Network parameters for time series forecasting N Chouikhi, B Ammar, N Rokbani, AM Alimi |
Applied Soft Computing 55, 211-225, 2017 | 2017 | 235 |
| Stability and exponential synchronization of high-order hopfield neural networks with mixed delays H Brahmi, B Ammar, F Ch�rif, AM Alimi |
Cybernetics and systems 48 (1), 49-69, 2017 | 2017 | 13 |
| Pseudo almost periodic solutions of impulsive recurrent neural networks with mixed delays H Brahmi, B Ammar, AM Alimi, F Ch�rif |
2016 international joint conference on neural networks (IJCNN), 464-470, 2016 | 2016 | 9 |
| Single-and multi-objective particle swarm optimization of reservoir structure in echo state network N Chouikhi, R Fdhila, B Ammar, N Rokbani, AM Alimi |
2016 International Joint Conference on Neural Networks (IJCNN), 440-447, 2016 | 2016 | 31 |
| Asymptotically almost automorphic solution of high order recurrent neural networks with mixed delays H Brahmi, B Ammar, F Cherif, AM Alimi, A Abraham |
International Journal of Computer Science and Information Security 14 (7), 284, 2016 | 2016 | 4 |
| Exponential synchronization of high-order recurrent neural networks with mixed delays H Brahmi, B Ammar, F Ch�rif, AM Alimi |
2015 15th International Conference on Intelligent Systems Design and�…, 2015 | 2015 | 1 |
| A hybrid approach based on particle swarm optimization for echo state network initialization N Chouikhi, B Ammar, N Rokbani, AM Alimi, A Abraham |
2015 IEEE International Conference on Systems, Man, and Cybernetics, 2896-2901, 2015 | 2015 | 23 |
| Regimdroid: Framework for customize Android platform to act as a brain for telepresence robot N Ghribi, B Ammar, AM Alimi |
2015 IEEE/ACIS 14th International Conference on Computer and Information�…, 2015 | 2015 | 0 |
| Architectural proposal for a mobile telepresence robot, REGIMTEL N Ghribi, B Ammar, AM Alimi |
2014 6th International Conference of Soft Computing and Pattern Recognition�…, 2014 | 2014 | 2 |
| On the dynamics of the high-order type of neural networks with time varying coefficients and mixed delay H Brahmi, B Ammar, F Cherif, AM Alimi |
2014 international joint conference on neural networks (IJCNN), 2063-2070, 2014 | 2014 | 11 |
| REGIMRobvid: Objects and Scenes Detection for Robot Vision 2013. A Ksibi, B Ammar, AB Ammar, CB Amar, AM Alimi |
CLEF (Working Notes), 2013 | 2013 | 4 |
| Learning to walk using a recurrent neural network with time delay B Ammar, N Chouikhi, AM Alimi, F Ch�rif, N Rezzoug, P Gorce |
International Conference on Artificial Neural Networks, 511-518, 2013 | 2013 | 18 |
| Exponential synchronization of a class of rnns with discrete and distributed delays F Ch�rif, H Brahmi, B Ammar, AM Alimi |
International Conference on Artificial Neural Networks, 74-81, 2013 | 2013 | 5 |
| Intelligent path planning algorithm for autonomous robot based on recurrent neural networks H Brahmi, B Ammar, AM Alimi |
2013 International Conference on Advanced Logistics and Transport, 199-204, 2013 | 2013 | 35 |
| 2012 Index IEEE Transactions on Neural Networks and Learning Systems Vol. 23 SP Adhikari, A Alessandri, B Alfano, AM Alimi, E Alonso, U Amato, ... |
IEEE Transactions on Neural Networks and Learning Systems 23 (12), 2013, 2012 | 2012 | 0 |
| Learning system for mobile robot detection and tracking S Bousnina, B Ammar, N Baklouti, AM Alimi |
2012 International Conference on Communications and Information Technology�…, 2012 | 2012 | 13 |
| Existence and uniqueness of pseudo almost-periodic solutions of recurrent neural networks with time-varying coefficients and mixed delays B Ammar, F Ch�rif, AM Alimi |
IEEE Transactions on neural networks and learning systems 23 (1), 109-118, 2011 | 2011 | 101 |
| Learning system for standing human detection B Ammar, N Rokbani, AM Alimi |
2011 IEEE International Conference on Computer Science and Automation�…, 2011 | 2011 | 12 |
| Incremental learning approach for human detection and tracking B Ammar, A Wali, AM Alimi |
2011 International Conference on Innovations in Information Technology, 128-133, 2011 | 2011 | 8 |
| Biped robot control using particle swarm optimization N Rokbani, E Benbousaada, B Ammar, AM Alimi |
2010 IEEE international conference on systems, man and cybernetics, 506-512, 2010 | 2010 | 35 |
| The IEEE RAS Tunisia Chapter: A Rising and Promising Team N Rokbani, HM Kammoun, B Ammar |
IEEE Robotics & Automation Magazine, 103, 2010 | 2010 | 0 |
| From gaits to ROBOT, A Hybrid methodology for A biped Walker N Rokbani, EBEN BOUSSADA, BA CHERIF, AM Alimi |
Mobile Robotics: Solutions and Challenges, 685-692, 2010 | 2010 | 7 |
| Human walker's detection and localization BA Cherif, N Rokbani, AM Alimi, MMB Khelifa |
2009 3rd International Conference on Signals, Circuits and Systems (SCS), 1-5, 2009 | 2009 | 1 |
| Toward Intelligent Biped-Humanoids Gaits N Rokbani, BA Cherif, AM Alimi |
Humanoid Robots, 259, 2009 | 2009 | 16 |
| Architectural proposal for a robotized intelligent humanoid, IZiman N Rokbani, MA Alimi, B Ammar |
2007 IEEE International Conference on Automation and Logistics, 1941-1946, 2007 | 2007 | 7 |
| Architectural proposal for an intelligent humanoid N Rokbani, AM Alimi, BA Cherif |
IEEE Automation and logistics, 2007 | 2007 | 6 |
| A variational autoencoder-based approach for efficiently solving sparse large multi-objective optimization problems Z Fki, H Brahmi, N Chouikhi, B Ammar, M Farouk Ayadi, N Masmoudi, ... |
Available at SSRN 6129148, 0 | 0 | 0 |
| Ryma Abbassi Higher Institute of Communication Technologies Wissem Abbes REGIM Fatma Abdelkefi High School of Communications of Tunis (SUPCOM) Nicola Accettura LAAS-CNRS Alti�… R Aguero, RL Aguiar, DT Ahmed, S Ait Chellouche, B Akbari, A Alexeev, ... |
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