Benoît Miramond
Présentation
Benoît Miramond est professeur au laboratoire LEAT de l'Université Côte d'Azur à Sophia-Antipolis. Auparavant, il était maître de conférence au laboratoire ETIS de l'Université de Cergy-Pontoise. Benoît Miramond a reçu l'Habilitation (HDR) en sciences de l'ingénieur et des systèmes en 2014 et le titre de doctorat en informatique en 2003. Il est actuellement à la tête du groupe d'ingénierie neuromorphique eBRAIN du LEAT. Il porte la chaire d'IA bio-inspirée de l'institut 3IA Côte d'Azur depuis 2020. Dans ce contexte, ses recherches suivent une approche interdisciplinaire pour explorer de nouvelles architectures matérielles adaptatives et faible consommation inspirées des neurosciences et des sciences cognitives pour des applications d'Intelligence Artificielle embarquée.
Publications
Publications
Leveraging Brain Inspired Principles for Data Efficient Multimodal Learning2025 IEEE International Conference on Big Data (BigData), IEEE, Dec 2025, Macau, China. pp.5132-5141, ⟨10.1109/BigData66926.2025.11401515⟩ |
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Enhanced Neuromorphic Semantic Segmentation Latency Through Stream EventNeural Information Processing. ICONIP 2024, Dec 2024, Auckland, New Zealand. pp.46-30, ⟨10.1007/978-981-96-6975-2_4⟩ |
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Software and Hardware challenges for Energy efficiency of Neuromorphic computing in EdgeAI ApplicationsJournée thématique sur les nouvelles technologies et architectures matérielles pour le déploiement d'algorithmes d'intelligence artificielle embarqués, Nov 2025, Toulouse, France |
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Hardware-Aware Neural Architecture Search for Memory constrained Embedded Neural Networks Accelerators7th IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS 2025), Apr 2025, Bordeaux, France. pp.5, ⟨10.1109/AICAS64808.2025.11173090⟩ |
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Cross-Modal Neuromorphic Semantic Segmentation based on Knowledge DistillationInternational Joint Conference in Neural Network (IJCNN2025), Jun 2025, Rome, Italy. pp.1-9, ⟨10.1109/IJCNN64981.2025.11227429⟩ |
Recherche d’Architecture Neuronale sous Contraintes Matérielles pour un accélérateur de calcul embarqué contraint en mémoireXXXe Colloque Francophone de Traitement du Signal et des Images (GRETSI'25), Aug 2025, Strasbourg, France. pp.1-4 |
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On Reducing Activity with Distillation and Regularization for Energy Efficient Spiking Neural NetworksThe 33rd International Conference on Artificial Neural Networks (ICANN 2024), Sep 2024, Lugano, Switzerland. pp.407-421, ⟨10.1007/978-3-031-72359-9_30⟩ |
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Embedded event based object detection with spiking neural networkConférence IJCNN, IEEE, Jun 2024, Yocohama, Japan. pp.1-8, ⟨10.1109/IJCNN60899.2024.10649943⟩ |
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Prédiction de Données pour les Réseaux de Capteurs Sans Fil à Longue Durée de Vie18ème Colloque national GdR System on Chip, Systèmes embarqués et Objets Connectés, Jun 2024, Toulouse, France. pp.2 |
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Internet of Things Terminal with Embedded Machine Learning Capabilities for Terrestrial and Space Communication Experiments2023 International Conference on Advanced Technologies for Communications (ATC), Oct 2023, Danang, Vietnam. pp.339-344, ⟨10.1109/ATC58710.2023.10318893⟩ |
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Next generation of Edge AI with spiking neural networks on event-based neuromorphic hardwareGDR Biocomp, Nov 2023, Banuyls-sur-Mer, France |
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An Analytical Estimation of Spiking Neural Networks Energy EfficiencyInternational Conference on Neural Information Processing ( ICONIP), Nov 2022, ITT Indore, India. pp.8, ⟨10.1007/978-3-031-30105-6_48⟩ |
Time series prediction and anomaly detection with recurrent spiking neural networksIJCNN 2023, IEEE, Jun 2023, Queensland, Australia. pp.10, ⟨10.1109/IJCNN54540.2023.10191614⟩ |
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Cortex Inspired Learning to Recover Damaged Signal Modality by ReD-SOM ModelIJCNN 2023, IEEE, Jun 2023, Gold Coast, Australia, Australia. pp.01-09, ⟨10.1109/IJCNN54540.2023.10191701⟩ |
Estimation of Energy Efficiency of Spiking Neural Networks on neuromorphic hardwareConférence INT, Iinstitut de Neurosciences de la Timone, Mar 2023, Marseille (13), France |
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Objects classification based on UWB scattered field and SEM data using machine learning algorithmsEuropean Radar Conference 2021, Apr 2022, Londres, United Kingdom. pp.369-372, ⟨10.23919/EuRAD50154.2022.9784460⟩ |
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Embedded Artificial Neural Network for Data Prediction in Energy Efficient Wireless Sensors Networks4rd International Conference on Advances in Signal Processing and Artificial Intelligence (ASPAI' 2022), Oct 2022, Corfu, Greece. pp.2 |
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SPLEAT: SPiking Low-power Event-based ArchiTecture for in-orbit processing of satellite imageryIEEE WCCI Congress, Jul 2022, Padua, Italy. pp.1-10, ⟨10.1109/IJCNN55064.2022.9892277⟩ |
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Object Detection with Spiking Neural Networks on Automotive Event DataIJCNN 2022 IEEE WCCI Congress, Jul 2022, Padua, Italy. pp.1-8, ⟨10.1109/IJCNN55064.2022.9892618⟩ |
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Self-Organizing Neurons: Toward Brain-Inspired Multimodal AssociationNeural Interfaces and Artificial Senses (NIAS), Sep 2021, Online, Spain. pp.1, ⟨10.29363/nanoge.nias.2021.007⟩ |
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Vers une approche bio-inspirée de l’IA embarquée15ème Colloque National du GDR SOC2, Jun 2021, distanciel, France |
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Learning from Event Cameras with Sparse Spiking Convolutional Neural NetworksInternational Joint Conference On Neural Networks 2021 (IJCNN 2021), Jul 2021, Conférence virtuelle, China. pp.1-8 |
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Neuromorphic architectures, a support to third generation of Artificial Neural Networks and a new path toward low-power embedded AIMicro Innovation Day II, pôle SCS., Oct 2021, Marseille, France |
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Neural coding: adapting spike generation for embedded hardware classificationIEEE World Congress on Computational Intelligence (WCCI) 2020, Jul 2020, Glasgow, United Kingdom. pp.8, ⟨10.1109/IJCNN48605.2020.9207702⟩ |
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Improving Self-Organizing Maps with Unsupervised Feature ExtractionInternational Conference on Neural Information Processing (ICONIP) 2020, Aug 2020, Bangkok, Thailand. pp.474-486 |
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GPU-based Self-Organizing-Maps for Post-Labeled Few-Shot Unsupervised LearningInternational Conference on Neural Information Processing (ICONIP) 2020, Aug 2020, Bangkok, Thailand. pp.404-416, ⟨10.1007/978-3-030-63833-7_34⟩ |
An FPGA-based Hybrid Neural Network accelerator for embedded satellite image classificationIEEE International Symposium on Circuit and Systems (ISCAS 2020), May 2020, Seville, Spain. pp.5, ⟨10.1109/ISCAS45731.2020.9180625⟩ |
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Toward unsupervised Human Activity Recognition on Microcontroller Unitsconférence Euromicro DSD 2020, Aug 2020, Portorož, Slovenia. pp.9, ⟨10.1109/DSD51259.2020.00090⟩ |
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Spike Nets for low power image processing4th Huawei Future ISP (Image Signal Processing) technologies workshop, Sep 2020, Sophia Antipolis, France |
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Dynamic Structural and Computational Resource Allocation for Self-Organizing ArchitecturesICECS 2020, Nov 2020, Glasgow, United Kingdom. pp.1-4, ⟨10.1109/ICECS49266.2020.9294983⟩ |
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QoS and Energy-Aware Run-time Adaptation for Mobile Robotic Missions: A Learning ApproachInternational Conference on Robotic Computing, 2019., Feb 2019, Naples, Italy. pp.212-219, ⟨10.1109/IRC.2019.00039⟩ |
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Synchronous Approach for Modeling Spiking Neurons2019 IEEE Biomedical Circuits and Systems Conference BIOCAS 2019, Oct 2019, Nara, Japan. pp.1-4, ⟨10.1109/BIOCAS.2019.8919084⟩ |
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Information coding and hardware architecture of spiking neural networksEuromicro DSD/SEAA 2019, Aug 2019, Kallithea,Chalkidiki, Greece. pp.291-298, ⟨10.1109/DSD.2019.00050⟩ |
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Neuromorphic Computing - From Robust Hardware Architectures to Testing Strategies26th IFIP IEEE International Conference on Very Large Scale Integration (VLSI SOC 2018), Oct 2018, Verona, Italy. pp.176-179, ⟨10.1109/VLSI-SoC.2018.8644897⟩ |
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Specialized visual sensor coupled to a dynamic neural field for embedded attentional process2019 IEEE Sensors Applications Symposium (SAS) (SAS 2019), Mar 2019, Sophia-Antipolis, France. pp.1-6 |
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Energy consumption minimization on LoRaWAN sensor network by using an Artificial Neural Network based applicationSensors Applications Symposium 2019, Mar 2019, Sophia-Antipolis, France. pp.1-6, ⟨10.1109/SAS.2019.8705992⟩ |
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Self-organizing neurons: toward brain-inspired unsupervised learningThe International joint Conference On Neural Networks, Jul 2019, Budapest, Hungary. pp.1-9, ⟨10.1109/IJCNN.2019.8852098⟩ |
A distributed cellular approach of large scale SOM models for hardware implementationIEEE Conference on Image Processing and Signals (IPAS), Dec 2018, Nice (sophia-antipolis), France. pp.250-255, ⟨10.1109/IPAS.2018.8708904⟩ |
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Energy Saving in a Wireless Sensor Network by Data Prediction by using Self-Organized MapsInternational Workshop on Recent Advances in Cellular Technologies and 5G for IoT Environments (RACT-5G-IoT 2018), May 2018, Porto, Portugal. pp.1090-1095, ⟨10.1016/j.procs.2018.04.161⟩ |
Towards A Multi-Mission QoS and Energy Manager for Autonomous Mobile RobotsInternational Conference on Robotic Computing, Jan 2018, Laguna Hill, CA, United States. pp.270-273, ⟨10.1109/IRC.2018.00057⟩ |
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Pruning Self-Organizing Maps for Cellular Hardware ArchitecturesAHS 2018 - 12th NASA/ESA Conference on Adaptive Hardware and Systems, Aug 2018, Edinburgh, United Kingdom. pp.272-279, ⟨10.1109/AHS.2018.8541465⟩ |
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Neuromorphic hardware as a self-organizing computing systemWCCI 2018 - IEEE World Congress on Computational Intelligence, Workshop NHPU : Neuromorphic Hardware In Practice and Use, Jul 2018, Rio de Janeiro, Brazil. pp.1-4 |
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Confronting machine-learning with neuroscience for neuromorphic architectures designIEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGENCE, Jul 2018, Rio de Janeiro, Brazil. pp.1-8, ⟨10.1109/IJCNN.2018.8489241⟩ |
Real-Time Software Distribution on Multi-Core Architectures in Automotive SystemsColloque GDR SoC-SiP (System On Chip - System In Package), Jun 2016, Nantes, France |
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Optimizing Application Distribution on Multi-Core Systems within AUTOSAR8th European Congress on Embedded Real Time Software and Systems (ERTS 2016), Jan 2016, TOULOUSE, France. pp.10 |
FPGA-based bio-inspired architecture for multi-scale attentional visionConference on Design & Architectures for Signal & Image Processing (DASIP), Oct 2016, Rennes, France. pp.231-232, ⟨10.1109/DASIP.2016.7853828⟩ |
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Distribution of Real-Time Software on Multi-Core Architectures in Automotive SystemsConférence d'informatique en Parallélisme, Architecture et Système (COMPAS), Jul 2016, Lorient, France. pp.2 |
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Attention-based smart-camera for spatial cognition10th International Conference on Distributed Smart Cameras (ICDSC 2016), Sep 2016, Paris, France. pp.121-127, ⟨10.1145/2967413.2967440⟩ |
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Generation of Schedule Tables on Multi-core Systems for AUTOSAR ApplicationsConference on Design & Architectures for Signal & Image Processing (DASIP), Oct 2016, Rennes, France. pp.191-198, ⟨10.1109/DASIP.2016.7853818⟩ |
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A neural processing unit for self-organizing mapsworkshop on "Neuromorphic and Brain-Based Computing Systems", Mar 2015, Grenoble, France |
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Validation of neural networks onto FPGAInternational Workshop on Neuromorphic and Brain-Based Computing Systems (NeuComp 2013 / DATE), DATE, Mar 2013, Grenoble, France |
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A Neural Model for Hardware Plasticity in Artificial Vision SystemsDesign and Architectures for Signal and Image Processing (DASIP), 2013 Conference on, ECSI, Oct 2013, Cagliari, Italy. pp.30 - 37 |
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Hardware architecture of Self-Organizing MapsDesign, Automation & Test in Europe (DATE 2013) - International Workshop on Neuromorphic and Brain-Based Computing Systems (NeuComp 2013), Mar 2013, Grenoble, France |
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Embodied Computing: Self-adaptation in Bio-inspired Reconfigurable ArchitecturesParallel and Distributed Processing Symposium Workshops & PhD Forum (IPDPSW), 2012 IEEE 26th International, May 2012, Shanghai, China. pp.413 - 418, ⟨10.1109/IPDPSW.2012.52⟩ |
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Middleware Based Executive for Embedded Reconfigurable PlatformsDASIP, Oct 2012, Germany. pp.6 |
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FPGA-based vision perception architecture for robotic missionsSmart cameras for robotic applications, Oct 2012, Portugal. pp.4 |
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Self-organization in embodied reconfigurable architectures.Colloque GDR SocSip 2012, Jun 2012, Paris, France. pp.1-2 |
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Self-organization of reconfigurable processing elements during mobile robots missionsReconfigurable Communication-centric Systems-on-Chip (ReCoSoC), 2011 6th International Workshop on, Jun 2011, Montpellier, France. ⟨10.1109/ReCoSoC.2011.5981533⟩ |
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Self-organization of reconfigurable processing elements during mobile robots missions6th International Workshop on Reconfigurable Communication-centric Systems-on-Chip, ReCoSoC 2011, Jun 2011, Montpellier, France. pp.1-2 |
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Dataflow Programming Model For Reconfigurable Computing6th International Workshop on Reconfigurable Communication-centric Systems-on-Chip (ReCoSoC), Jun 2011, Montpellier, France. pp.1-8, ⟨10.1109/ReCoSoC.2011.5981505⟩ |
Generation of static tables in embedded memory with dense schedulingConference on Design and Architectures for Signal and Image Processing, Oct 2010, France. pp.1 |
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A Framework for the Exploration of RTOS Dedicated to the Management of Hardware Reconfigurable ResourcesReConFig'08, 2008, Mexico. pp.61-66 |
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Dynamic adaptation of Hardware-Software scheduling for Reconfigurable System-on-Chip19th IEEE/IFIP International Symposium on Rapid System Prototyping (RSP'08), Jun 2008, Monterey, CA, United States. pp.1 |
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SystemC multiprocessor RTOS model for services distribution on MPSoC platformsConference on Design and Architectures for Signal and Image Processing (DASIP), Nov 2008, Bruxelles, Belgium. pp.1 |
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A Modular SystemC RTOS Model for Embedded Services Exploration1st European Workshop on Design and Architectures for Signal and Image Processing (DASIP'07), Nov 2007, Grenoble, France. pp.1 |
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Decision Guide Environment for Design Space ExplorationETFA 2005, 2005, Italy. pp.881--888, ⟨10.1109/ETFA.2005.1612618⟩ |
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Design Space Exploration for Dynamically Reconfigurable ArchitecturesDATE'05, Mar 2005, Munich, Germany. pp.366-371 |
Design Space Exploration for Dynamically Reconfigurable ArchitecturesIEEE DATE 2005, 2005, Germany. pp.366--371, ⟨10.1109/DATE.2005.118⟩ |
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ModelJ : Component-based Modeling for Embedded SystemsEuropean Conference on Object Oriented Programming (ECOOP’2001), Jun 2001, Budapest, Hungary |
Space Use-Case: Onboard Satellite Image Classificationspringer. Towards Ubiquitous, Low-power Image Processing Platforms, , pp.199-218, 2020, 978-3-030-53532-2. ⟨10.1007/978-3-030-53532-2_12⟩ |
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SystemC Multiprocessor RTOS model for services distribution on RTOS platformsSpringer. Lecture Notes in Electrical Engineering - Algorithm-Architecture Matching for Signal and Image Processing, pp.197-216, 2011, ⟨10.1007/978-90-481-9965-5_9⟩ |
Déclaration d’Invention DI-14851-01 du logiciel MicroAIFrance, N° de brevet: DI-14851-01. EDGE. 2021 |
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Procédé hors-ligne d'allocation d'un logiciel embarqué temps réel sur une architecture microcontrôleur multicoeur et son utilisation pour des applications embarquées dans un véhicule automobileFrance, Patent n° : No 3 045 870. Reference 15 62954, 2016. MCSOC. 2016 |
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Off-line allocation method of embedded and real-time software on a multicore architecture and its use for embedded applications in automotive vehicleFrance, Patent n° : PCT/FR2016/053578, Reference MFR9019 PCT, 2016. MCSOC. 2016 |
MultimodalBirdsAutre publication scientifique hal-05540404v1 |
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Written and spoken digits database for multimodal learning2019 |
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Malvoyance: des lunettes pour raconter le monde2019 |
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Hardware vision architecture for autonomous navigationGDR Soc-Sip, 2013 |
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Generalization Ability of Deep Learning Algorithms Trained using SEM Data for Objects Classification2021 |
Brain-inspired self-organization with cellular neuromorphic computing for multimodal unsupervised learning2020 |
Architectural exploration of hardware Spiking Neural Networks integrating Non-Volatile Memories[Internship report] Université de Nice Sophia-Antipolis (UNS). 2018 |