Khalifa DJEMAL
Présentation
Prof. Khalifa DJEMAL received his diploma degree in Optical, Image and Signal Processing in 1999 from the National School of Physics at the University of Marseille / University of Toulon, France, and his Ph.D. in Image and Signal Processing in 2002 from the University of Toulon, France. He is currently a Full Professor in the Department of Electrical Engineering at the Institute of Technology, University of Évry Paris Saclay, France. He is a member of the IRA2 team within the IBISC Laboratory. His current research interests include artificial intelligence data processing, with a particular focus on applications in the environmental and medical domains. K. Djemal is the founder of the International Conference on Image Processing Theory, Tools and Applications (IPTA), which he chaired in 2008, 2010, 2012, 2014, 2020, and 2023. He has also organized the International Workshop on Medical Image Analysis and Description for Diagnosis Systems (MIAD) since 2009. In addition, he has chaired several special sessions and served as technical chair for numerous conferences. He is a regular reviewer for several international journals and conferences.
Publications
Publications
YOLO-Based Waste Detection in Smart Waste Management for a Cleaner Future: A Review14th Fourteenth International Conference on Image Processing, Theory, Tools & Applications (IPTA 2025), Oct 2025, Istanbul, Turkey. pp.1-6, ⟨10.1109/IPTA66025.2025.11222033⟩ |
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Parallel Whale Optimization Algorithm-Kmeans for Image Segmentation using MultiprocessingInternational Symposium on iNnovative Informatics of Biskra (ISNIB 2025), Jan 2025, Biskra, Algeria. pp.1-6, ⟨10.1109/ISNIB64820.2025.10983906⟩ |
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Cognitive Task Virtualization for Alzheimer's Diagnosis Using Realistic VR Simulation14th International Conference on Image Processing, Theory, Tools & Applications (IPTA 2025), Oct 2025, Istanbul, Turkey. pp.1-7, ⟨10.1109/IPTA66025.2025.11222054⟩ |
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Spectral Representation Learning in Color Space for Deforestation Mapping with Limited Supervision37th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2025), Nov 2025, Athens, Greece. pp.1192--1198, ⟨10.1109/ICTAI66417.2025.00174⟩ |
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Pollutant Source Localization Based on Siamese Neural Network Similarity Measure5th International Conference on Deep Learning Theory and Applications (DeLTA 2024), Jul 2024, Dijon, France. pp.62--75, ⟨10.1007/978-3-031-66705-3_5⟩ |
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PrecipitaTrack: A Comprehensive Dataset for Advancing Object Tracking in Autonomous Vehicles13th IEEE Thirteenth International Conference on Image Processing Theory, Tools and Applications (IPTA 2024), Oct 2024, Rabat, France. pp.1-6, ⟨10.1109/IPTA62886.2024.10755596⟩ |
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ICPR 2024 Competition on VISual Tracking in Adverse Conditions (VISTAC)27th International Conference on Pattern Recognition (ICPR 2024), Dec 2024, Kolkata, India. pp.91-102, ⟨10.1007/978-3-031-80139-6_7⟩ |
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Pollutant Concentration Prediction by Random Forest to Estimate a Contaminant Source Position20th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations (AIAI 2024), Jun 2024, Corfu, Greece. pp.265--278, ⟨10.1007/978-3-031-63215-0_20⟩ |
GreenMedNet: A computationally inexpensive hyperparameter optimised dual attention based insulin leaves categorization approachFifth International Conference on Intelligent Data Science Technologies and Applications (IDSTA 2024), Sep 2024, Dubrovik, Croatia. pp.172-176, ⟨10.1109/IDSTA62194.2024.10747000⟩ |
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Optimizing network sensors using unsupervised machine-learning approach to identify a pollutant sourcePattern Recognition and Prediction XXXV, Apr 2024, National Harbor, MD, United States. pp.130400N, ⟨10.1117/12.3013419⟩ |
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Harnessing Deep Learning For Diseased And Fresh Orange Detection: A Comparative Analysis Of Yolo V8 And Rt-detr13th IEEE Thirteenth International Conference on Image Processing Theory, Tools and Applications (IPTA 2024), Oct 2024, Rabat, Morocco. pp.1-6, ⟨10.1109/IPTA62886.2024.10755901⟩ |
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MangNet: A Muti-Scale Contextual Information Driven Deep Learning Architecture designed to perform Sunderban Landcover classificationTwelfth International Conference on Image Processing Theory, Tools and Applications (IPTA 2023), Oct 2023, Paris, France. pp.1-6, ⟨10.1109/IPTA59101.2023.10320081⟩ |
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Skin Cancer Classification using Levy Stable Based Ensemble and It’s Real-Time Implementation on OpenVINO ToolkitTwelfth International Conference on Image Processing Theory, Tools and Applications (IPTA 2023), Oct 2023, Paris, France. pp.1-6, ⟨10.1109/IPTA59101.2023.10319992⟩ |
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Prediction of Air Pollutant Concentrations in Airport Areas using Machine Learning ArchitectureTwelfth International Conference on Image Processing Theory, Tools and Applications (IPTA 2023), Oct 2023, Paris, France. pp.1-6, ⟨10.1109/IPTA59101.2023.10320011⟩ |
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Fuzzy Logic based adaptive weighted despeckling method designed considering inter-pixel scattering similaritiesTwelfth International Conference on Image Processing Theory, Tools and Applications (IPTA 2023), Oct 2023, Paris, France. pp.1-6, ⟨10.1109/IPTA59101.2023.10320031⟩ |
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Foliage-Pattern-Identifier: A Hybridized Grey Wolf & Adam optimized Deep Learning architecture designed for identification of similarly patterned leavesTwelfth International Conference on Image Processing Theory, Tools and Applications (IPTA 2023), Oct 2023, Paris, France. pp.1-6, ⟨10.1109/IPTA59101.2023.10320017⟩ |
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Robust Method for Breast Cancer Classification Based on Feature Selection Using RGWO Algorithm1st International Conference on Artificial Intelligence: Theories and Applications (ICAITA 2022), Nov 2022, Mascara, Algeria. pp.18--27, ⟨10.1007/978-3-031-28540-0_2⟩ |
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Combined Datasets For Breast Cancer Grading Based On Multi-CNN ArchitecturesTenth International Conference on Image Processing Theory, Tools and Applications (IPTA 2020), Nov 2020, Paris, France. pp.1-7, ⟨10.1109/IPTA50016.2020.9286653⟩ |
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Cognitive tasks modelization and description in VR environment for Alzheimer’s disease state identification10th International Conference on Image Processing Theory, Tools and Applications (IPTA 2020), Nov 2020, Paris, France. pp.1-7, ⟨10.1109/IPTA50016.2020.9286627⟩ |
Optimization of the dictionary size selection: An efficient combination of K-SVD and PCA to denoise and enhance digital mammography contrast1st International Symposium on Intelligent Computing Systems (ISICS 2016), Mar 2016, Merida, Mexico. pp.1--15, ⟨10.1007/978-3-319-30447-2_1⟩ |
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Breast Cancer Classification by Artificial Immune Algorithm based Validity Interval Cells Selection8th International Joint Conference on Computational Intelligence (IJCCI 2016), Nov 2016, Porto, Portugal. pp.209--216 |
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Using artificial immune algorithm for fast convergence of multi layer perceptron in breast cancer diagnosis application2015 International Conference on Image Processing Theory, Tools and Applications (IPTA 2015), Nov 2015, Orléans, France. pp.341-345, ⟨10.1109/IPTA.2015.7367161⟩ |
Improving cells recognition by local database categorization in Artificial Immune System algorithm. Application to breast cancer diagnosis2015 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS 2015), Dec 2015, Douai, France. (elec. proc.), ⟨10.1109/EAIS.2015.7368784⟩ |
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Digital Mammogram Database Classification using improved Artificial Immune SystemJournées RITS 2015, Mar 2015, Dourdan, France. p164-165 |
Digital database for screening mammography classification using improved artificial immune system approaches6th International Conference on Evolutionary Computation Theory and Applications (ECTA 2014) Part of the 6th International Joint Conference on Computational Intelligence (IJCCI 2014), Oct 2014, Rome, Italy. pp.244--250 |
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A new fractional-order variational model for speckled de-noising5th European Workshop on Visual Information Processing (EUVIP 2014), Dec 2014, Paris, France. ⟨10.1109/EUVIP.2014.7018384⟩ |
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Nearest cluster center decision in hierarchical classification process2014 Information and Communication Technologies Innovation and Application (ICTIA 2014), Mar 2014, Sousse, Tunisia. ⟨10.1109/ICTIA.2014.7883767⟩ |
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A Novel Approach for Medical Images Noise Reduction Using Neural Filter2nd global conference on computer science, software, networks and engineering (COMENG 2014), Nov 2014, Izmir, Kusadasi, Turkey |
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Cells clonal selection for Breast Cancer classification10th International Multi-Conference on Systems, Signals and Devices (SSD 2013), Mar 2013, Hammamet, Tunisia. (elec. proc), ⟨10.1109/SSD.2013.6564016⟩ |
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Image Restoration Method by Total Variation Minimization Using Multilayer Neural Networks Approach14th International Conference on Engineering Applications of Neural Networks (EANN 2013), Sep 2013, Halkidiki, Greece. pp.424--432, ⟨10.1007/978-3-642-41013-0_44⟩ |
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An Immune-Inspired Approach for Breast Cancer Classification14th International Conference on Engineering Applications of Neural Networks (EANN 2013), Sep 2013, Halkidiki, Greece. pp.273--281, ⟨10.1007/978-3-642-41013-0_28⟩ |
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Speckled Images Restoration Filter based on Weighted Multiplicative Regularization Approach3rd International Conference on Image Processing Theory, Tools and Applications (IPTA 2012), Oct 2012, Istanbul, Turkey. pp.111--115 |
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Classification du cancer du sein par les systèmes immunitaires artificiels : Contribution à l'amélioration de l'algorithme CLONALGBiomedical Engineering International Conference (BIOMEIC 2012), Oct 2012, Tiemcen, Algérie. (elec. proc.) |
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Protuberance Selection descriptor for breast cancer diagnosis3rd European Workshop on Visual Information Processing (EUVIP 2011), Jul 2011, Paris, France. pp.280--285, ⟨10.1109/EuVIP.2011.6045548⟩ |
An adaptive total variation method for speckle reduction in medical ultrasound imaging18th IEEE International Conference on Image Processing (ICIP 2011), Sep 2011, Brussels, Belgium. pp.1545--1548 |
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Mass description for breast cancer recognitionInternational Conference on Image and Signal Processing (ICISP 2010), Jun 2010, Trois-Rivières, Quebec, Canada. pp.576--584, ⟨10.1007/978-3-642-13681-8_67⟩ |
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Adaptive Feature Selection for Heterogeneous Image Databases2nd International Conference on Image Processing Theory Tools and Applications (IPTA 2010), Jul 2010, Paris, France. pp.26--31, ⟨10.1109/IPTA.2010.5586751⟩ |
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Empirical Descriptors Evaluation for Mass Malignity RecognitionFirst International Workshop on Medical Image Analysis and Description for Diagnosis Systems (MIAD 2009), Jan 2009, Porto, Portugal. pp.91-100, ⟨10.5220/0001815400910100⟩ |
T.L.S.M : New co-clustering modelling intended to content based image recognitionIEEE International Conference on Computing and Communication Technologies (RIVF 2008), Jul 2008, Ho Chi Minh City, Vietnam. (elec. proc.) |
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Groupware Design for Online Diagnosis SupportFirst Workshops on Image Processing Theory, Tools and Applications (IPTA 2008), Nov 2008, Sousse, Tunisia. (elec. proc.), ⟨10.1109/IPTA.2008.4743774⟩ |
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Content description and classification for Image recognition system3rd International Conference on Information and Communication Technologies: From Theory to Applications (ICTTA 2008), Apr 2008, Damascus, Syria. (elec. proc.), ⟨10.1109/ICTTA.2008.4529998⟩ |
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New mass description in mammographies1st International Workshops on Image Processing Theory, Tools and Applications (IPTA 2008), Nov 2008, Sousse, Tunisia. (elec. proc), ⟨10.1109/IPTA.2008.4743751⟩ |
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Heterogeneous image retrieval system based on reatures extractionand SVM classifier5th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2008), May 2008, Funchal, Madeira, Portugal. pp.137--142 |
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Feature extraction and relevance evaluation for heterogeneous image database recognitionFirst Workshops on Image Processing Theory, Tools and Applications (IPTA 2008), Nov 2008, Sousse, Tunisia. (elec. proc), ⟨10.1109/IPTA.2008.4743738⟩ |
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Adaptive triangulation method for the management of the topology changes in 3D boundary reconstructionIEEE International Multi-Conference on Systems, Signals & Devices, Communication and Signal Processing Volume 3, 2007, Hammamet, Tunisia. pp.n.a |
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Image modeling and active contour segmentation: auto-progressive image model (invited paper)IEEE International Multi-Conference on Systems, Signals & Devices, Communication and Signal Processing, 2007, Hammamet, Tunisia. pp.n.a |
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La co-classification et la recherche d'images par le contenu3ème Journées Internationales sur l'Informatique Graphique (JIG 2007), 2007, Constantine, Algérie. pp.n.a |
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Abnormalities description for breast cancer recognitionIEEE International Conference on E-medical Systems, 2007, Fez, Morocco. pp.n.a |
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On the heterogeneous image retrieval with QUIP-treeIEEE International Multi-Conference on Systems, Signals & Devices, Communication and Signal Processing Volume 3, 2007, Hammamet, Tunisia. pp.n.a |
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MLP Neural Network Classifier for breast cancer diagnosticIEEE International Multi-Conference on Systems, Signals & Devices, Communication and Signal Processing, 2007, Hammamet, Tunisia. pp.n.a |
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Guaranteed Sub-pixel Edge Detection Method by Interval ArithmeticIEEE International Multi-Conference on Systems, Signals & Devices, Communication and Signal Processing Volume 3, 2007, Hammamet, Tunisia. pp.n.a |
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Modular statistical optimization of classification systems : Application to image searchInternational Conference Artificial Intelligence and Soft Computing, 2006, Palma de Mallorca, Spain. pp.n.a |
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Validation of a Subpixel Accuracy Edge Detection Method by Interval ArithmeticsInternational Symposium on Robotics and Automation (ISRA 2006), 2006, Mexico, Mexico. pp.n.a |
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Specific 3D Treatment in Orthodontics DomainInternational Symposium on Robotics and Automation (ISRA 2006), 2006, Mexico, Mexico. pp.n.a |
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Co-clustering adaptation method for image recognitionInternational Symposium on Robotics and Automation (ISRA 2006), 2006, Mexico, Mexico. pp.n.a |
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Modular statistical optimization and VQ method for images recognition3rd International Conference on Informatics in Control, Automation and Robotics (ICINCO 2006), 2006, Setúbal, Portugal. pp.n.a |
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DIVITOR Client / Server Application Digitization, Visualisation and Treatment in OrthodonticsInternational Network Conference (INC 2005), 2005, Samos, Greece. pp.n.a |
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Etude de formes des globules drépanocytaires par traitement d'images numériques.Sciences of Electronic, Technologies of Information and Telecommunications (SETIT 2005), 2005, Tunisie. pp.Elec. Proc |
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Modular statistical optimization of classification intended to content based image retrievalInternational Conference on Machine Intelligence: Intelligent Pattern Analysis ACIDCA-ICMI 05, 2005, Touzeur, Tunisia. pp.n.a |
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Etude de formes des globules drépanocytaires par traitement numérique des imagesInt. Conf. Sciences of Electronics, Technology of Information and Telecommunication (SETIT 2005), 2005, Sousse, Tunisie. pp.n.a |
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Shapes description for cells sickle illness RecognitionIEEE International Conference on Signals Systems & Devices (SSD 2005), 2005, Sousse, Tunisia. pp.n.a |
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Features extraction and supervised classification intended to image retrievalIMACS World Congress: Scientific Computation, Applied Mathematics and Simulation (IMACS 2005), 2005, Paris, France. pp.n.a |
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Image Retrieval based on features extraction and RBF classifersIEEE International Conference on Signals Systems & Devices (SSD 2005), 2005, Sousse, Tunisia. pp.n.a |
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Speckle Reduction in Ultrasound Images by Minimization of Total VariationIEEE International Conference on Image Processing (ICIP 2005), 2005, Genova, Italy. pp.357--360, ⟨10.1109/ICIP.2005.1530402⟩ |
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Geometric Active Contour Model Using Level Set Methods for Objects Tracking in Images SequencesSETIT: Sciences of ElectronicTechnology of Informations and Telecommunications, Mar 2004, Sousse, Tunisia |
Explainable AI for Medical Imaging: Knowledge MattersMulti-faceted Deep Learning, Springer International Publishing, pp.267--292, 2021, ⟨10.1007/978-3-030-74478-6_11⟩ |
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Mammographic mass description for breast cancer recognitionHealth Monitoring and Personalized Feedback using Multimedia Data, pp.31--46, 2015, ⟨10.1007/978-3-319-17963-6_3⟩ |
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Visual Feature extraction and descriptionBenois-Pineau Jenny and Precioso Frédéric and Cord Matthieu. Visual Indexing and Retrieval, Springer, pp.5--20, 2012, ⟨10.1007/978-1-4614-3588-4_2⟩ |
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Intelligent Information Description and Recognition in Biomedical Image DatabasesBoris Igelnik. Computational Modeling and Simulation of Intellect: Current State and Future Perspectives, IGI Global, pp.52--80, 2011, ⟨10.4018/978-1-60960-551-3.ch003⟩ |
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Image Retrieval System in Heterogeneous DatabaseAleksandar D. Rodić. Automation Control - Theory and Practice, InTech, pp.327--349, 2009 |
Special Issue on biomedical image segmentation using variational and statistical approachespp.57, 2014, ⟨10.1016/j.irbm.2014.02.001⟩ |