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Claude MarchandView profile

Professor

• Electrical Engineering
• Renewable Energy Systems
• Electric Vehicles
• +3 more

Claude Marchand is a Professor in the Department of Electrical and Electronic Engineering at the University of Paris. He leads the Laboratory for Electrical and Electronic Engineering of Paris, focusing on advanced research in electric machines, energy systems, and non-destructive evaluation techniques. His work spans hybrid powertrains, renewable energy integration, and electromechanical system optimization. Affiliations: Laboratory of Electrical and Electronic Engineering of Paris, University of Paris Key Research Areas: Electric Vehicles, Renewable Energy Systems, Non-Destructive Testing, Energy Management, Advanced Actuator Design Research Interests: Dr. Marchand’s research emphasizes improving energy efficiency through innovative control strategies and machine design. His studies include optimizing hybrid powertrain architectures, developing high-performance electric motors (e.g., switched reluctance machines), and advancing eddy-current-based non-destructive evaluation methods for material analysis. He also explores supercapacitor integration and photovoltaic system optimization for sustainable energy solutions. Recent work highlights the application of neural networks for defect detection in conductive materials and metamodel-based approaches for electric vehicle powertrain optimization. He has contributed to over 100 peer-reviewed publications, including studies on energy management algorithms for fuel cell scooters and vibration reduction in electric motors. Awards: Best Paper Award on Renewable Energies (2019) Dr. Marchand collaborates extensively with industry partners on projects like circulatory assistance actuators for medical devices and high-efficiency klystron designs. His team also investigates model-order reduction techniques for electric machine simulation and copper loss calculations.

• Waves in complex media
• Multiple scattering of ultrasound
• Wave control in disordered media
• +6 more

Arnaud TOURIN is a Professor at ESPCI Paris, affiliated with the Institut Langevin, a research institute focused on waves and imaging. His academic career spans over two decades with continuous research contributions in wave physics and acoustics. His primary research interests focus on wave propagation in complex media, particularly multiple scattering of ultrasound, wave control in disordered media, time reversal techniques, phononic crystals, acoustic metamaterials, and acoustics of granular media. His work bridges fundamental wave physics with practical applications in imaging, telecommunications, and material characterization. His research demonstrates how complex wave phenomena can be harnessed for technological innovation, particularly in ultrasound applications and metamaterial design. Tourin's publication record shows a consistent research trajectory with increasing interdisciplinary applications. His recent work (2021-2023) demonstrates expansion into electromagnetic applications of wave physics concepts, granular media dynamics, and technology transfer from academic research to commercial applications. The publications reveal a strong methodological foundation in experimental physics combined with theoretical modeling, particularly in wave propagation and scattering phenomena. As a professor at ESPCI Paris and researcher at Institut Langevin, TourIN contributes to both fundamental research and applied technological development. His work has implications across multiple fields including medical ultrasound, seismic imaging, wireless communications, and material science.

• Digital Communications
• Signal Processing
• Circuits and Systems
• +3 more

Guillaume Ferre is a full Professor at ENSEIRB-MATMECA, an engineering school within Bordeaux INP. He leads the SPECTRAL team in the SIGNAL AND IMAGE PROCESSING research group at IMS laboratory (Laboratoire de l'intégration, du matériau au système), focusing on circuits and systems for digital communications. PhD from Limoges University of Technology (2006) Research areas: Signal processing, IoT applications, and digital communication systems Currently supervises 6 PhD students in industrial research projects Director of Industrial Relations at ENSEIRB-MATMECA since 2022 His recent publications demonstrate strong focus on IoT technologies, with applications in precision agriculture and social distancing monitoring. He has also contributed to advanced communication systems including LoRa technology, interference cancellation, and faster-than-Nyquist signaling. His work bridges theoretical research with practical implementations in both academic and industrial contexts.

Adrien F. VincentView profile

Associate Professor

• Neuromorphic Computing
• Spiking Neural Networks
• Memristive Devices
• +2 more

Adrien F. Vincent is an Associate Professor at IMS Bordeaux (Laboratory of Integration, Material to System) under Université de Bordeaux, Institut Polytechnique de Bordeaux, and CNRS. He leads research in neuromorphic computing with a focus on spiking neural networks and memristive devices. His team, 2HC Production Engineering, develops energy-efficient hardware for real-time event-based data processing. Key research areas: Neuromorphic systems, Low-power electronics, Memristor technology Recent publications explore spintronic neural networks, STDP plasticity, and energy optimization His work addresses hardware-friendly learning algorithms and co-integration of analog silicon neurons with memristive arrays. Projects include ULPEC (Ultra-Low Power Event-Based Camera) and MIRA2015 (Memristive Architectures).

• Signal Processing
• Radar Processing
• Adaptive Array Processing
• +3 more

Olivier Besson is Head of the PhD program office at ISAE-SUPAERO, having previously served as Professor of Signal Processing at ENSICA (1993-2007) and ISAE-SUPAERO (2007-2016). He holds a PhD (1992) and Habilitation (1998) from INP Toulouse. His international experience includes visiting positions at Brigham Young University and Università del Salento. His research expertise encompasses: Adaptive array processing Radar signal analysis Statistical detection and estimation Multivariate data analysis He has received significant recognition including: Eurasip Best Paper Award (co-recipient) IEE Clarke-Griffiths Premium Award (co-recipient) Stanford University top 2% scientist ranking With 120+ peer-reviewed publications, he has held editorial roles for IEEE Transactions on Signal Processing and served on technical committees of the IEEE Signal Processing Society.

Clément QUINTONView profile

Associate Professor

• Computer Science
• Parallel Computing
• High-Level Synthesis
• +3 more

Clément QUINTON is an Associate Professor at the University of Lille, affiliated with both Inria and the CRIStAL laboratory (Centre de Recherche en Informatique, Signal et Automatique de Lille). He is an elected member of the laboratory council and maintains offices in both the Inria building (Room B312) and the M3 building (Room 224) at the Cité Scientifique campus. Dr. QUINTON is a member of the Spirals research team and holds the HDR (Habilitation à Diriger des Recherches), a French academic qualification that allows him to supervise PhD students. Dr. QUINTON's research spans several areas within computer science, with a primary focus on parallel computing, polyhedral models, and hardware acceleration. His work bridges theoretical computer science with practical applications in embedded systems and biomedical monitoring. He has made significant contributions to the fields of: Polyhedral compilation and loop optimization techniques High-level synthesis for FPGA-based hardware acceleration Systolic array design and parallel architectures Disruption-tolerant wireless sensor networks for biomedical applications Sustainable software engineering and cloud configuration Application of Large Language Models to software development Analysis of Dr. QUINTON's publication history reveals a consistent research trajectory that began with foundational work in parallel algorithms and systolic arrays, evolving toward more contemporary applications involving FPGA acceleration, polyhedral compilation, and biomedical sensor networks. His recent work shows increasing interest in sustainable computing, cloud architectures, and the application of Large Language Models to software engineering challenges. This evolution demonstrates his ability to adapt theoretical computer science concepts to address emerging technological challenges. Dr. QUINTON has supervised numerous PhD students whose research aligns with his expertise: Virginie Amand: Sustainable software services using large-scale models Alexandre Bonvoisin: Frugal software architectures for cloud-native microservices Tristan Coignion: Energy impact of Large Language Models for code Edouard Guegain: Software optimization through configuration (defended September 2023) Brell Péclard Sanwouo Chekam: Automatic detection and correction of side-channel vulnerabilities in cryptographic libraries Nada Zine: Complex and self-adaptive software systems Maxime Huyghe: Sustainable software services development based on Language Models (LLM) As a member of the Spirals research team at Inria and CRIStAL, Dr. QUINTON contributes to a collaborative environment focused on software engineering, system architecture, and sustainable computing. His work bridges theoretical computer science with practical applications in healthcare monitoring, cloud computing, and energy-efficient software development.