جست‌وجوی استاد و پژوهشگر

Manon Guille-Collignonمشاهده پروفایل

مدرس ارشد

• Bioelectrochemistry
• Electrochemistry
• Fluorescent Measurements
• +۵ مورد دیگر

Manon Guille-Collignon is a Senior Lecturer at École Normale Supérieure (Sorbonne University) in Paris, France, with a focus on bioelectrochemistry and electrochemical-fluorescence coupling. Her research examines cellular secretion mechanisms, bioenergetics, and photosynthetic electron transfer using advanced microelectrochemical systems. Education: Ph.D. in Chemistry (2005), UPMC (Université Pierre et Marie Curie) Master’s in Condensed Matter (2005), UPMC Post-Doc with Marie Curie Fellowship (2005/2006) at University of Warwick Research Trends: Recent work spans electrochemiluminescence imaging of liposomes, quinone-based electron harvesting from algae, and dual electrofluorescent probes for exocytosis studies. She integrates microfluidics, TIRF microscopy, and amperometry to analyze cellular processes at molecular and single-cell levels. Scientific Contributions: Recipient of the Institut Universitaire de France Junior Member (2015) Emergences Ville de Paris Research Program (2014) Teaching: Instructs thermodynamics, electrochemistry, and biochemistry courses to L1-L3 and M1 students. Supervised 14 student/postdoc projects. Technical Expertise: Member of the International Society of Electrochemistry (ISE), Bioelectrochemical Society (BES), and French Group of Bioelectrochemistry (GFB).

Alexander Oleinickمشاهده پروفایل

پژوهشگر ارشد

• Electrochemistry
• Physical Chemistry
• Biological Processes
• +۲ مورد دیگر

Alexander Oleinick is a Research Fellow in the Department of Chemistry at École normale supérieure (ENS), Paris. His work focuses on theoretical and computational electrochemistry, particularly processes involving electron transfer, ion transfer, and diffusion in biological and nanoscale systems. Research Interests: Electrochemistry, physical chemistry, mathematical modeling, simulations, biological processes His publications highlight expertise in scanning electrochemical microscopy (SECM), neurotransmitter release mechanisms, and electrochemical sensor design. He has collaborated extensively with researchers like C. Amatore and I. Svir.

Olivier Richouxمشاهده پروفایل

استاد

• Topological Acoustics
• Wave Propagation
• Acoustic Metamaterials
• +۳ مورد دیگر

Olivier Richoux is a Professor at the Institute of Acoustics, Department of Acoustics, University of Le Mans. His research spans topological acoustics, wave propagation in complex media, and acoustic metamaterials, with significant contributions to understanding nonlinear wave phenomena and topological edge states in engineered structures. Richoux's research interests focus on topological acoustics and nonlinear wave dynamics in structured media. His work explores how topological principles can create robust acoustic waveguides resistant to defects, and investigates soliton formation in periodic systems. Key areas include Su-Schrieffer-Heeger analogues in acoustic lattices, coherent perfect absorption in asymmetric networks, and energy spreading in disordered systems. His experimental-theoretical approach bridges fundamental physics with practical applications in sound control. Analysis of his recent publications (2021-2025) reveals a strong trend toward topological wave engineering in acoustic systems, particularly using Su-Schrieffer-Heeger models to create defect-immune wave paths. His work increasingly integrates nonlinear dynamics with topological concepts, examining soliton propagation and energy localization in disordered media. The research demonstrates consistent focus on experimental validation through acoustic waveguide networks and metamaterial implementations. Richoux actively collaborates within the Institute of Acoustics research ecosystem, particularly with teams working on ultrasonics, metamaterials, and nonlinear acoustics. His work frequently appears in high-impact journals including Physical Review B, Physical Review Applied, and Journal of the Acoustical Society of America, demonstrating strong integration within the international acoustics community. His laboratory work centers on acoustic waveguide networks and metamaterial testbeds for studying topological phenomena. The research group utilizes advanced measurement techniques including laser ultrasonics and optical methods for acoustic characterization, with facilities supporting both theoretical modeling and experimental validation of complex wave phenomena.

Shabnam Iyyaniمشاهده پروفایل

استادیار

• High Energy Astrophysics
• Multi-wavelength Astronomy
• Multi-messenger Astronomy
• +۴ مورد دیگر

Dr. Shabnam Iyyani is an Assistant Professor at the School of Physics, Indian Institute of Science Education and Research Thiruvananthapuram (2021–Present), where she also holds the DST INSPIRE Faculty Fellowship (2020–2025). She previously held postdoctoral positions at the Inter-University Centre for Astronomy and Astrophysics (IUCAA), including the Vaidya Raychaudhury Post Doctoral Prize Fellowship (2016–2020), and visiting roles at Tata Institute of Fundamental Research (2016) and Laboratoire Univers et Particules de Montpellier (2013). Her research focuses on high-energy astrophysics , particularly gamma-ray bursts (GRBs) , where she combines multi-wavelength and multi-messenger observations with hydrodynamic simulations and machine learning techniques . Her work spans polarization measurements, spectral modeling, and jet-environment interactions using data from AstroSat, Fermi , and Swift . The 15 most recent publications highlight her expertise in GRB polarization studies (e.g., AstroSat CZT Imager catalogs), synchrotron emission limitations, photospheric radiation diagnostics, and machine learning applications. Key keywords include high-energy astrophysics, gamma-ray bursts, synchrotron radiation, photospheric emission, X-ray spectroscopy, and multi-messenger astronomy , with subfields like GRB polarization variability , jet magnetic field structure , and machine learning for transient detection . She has received the DST INSPIRE Faculty Fellowship , supporting her research into GRB physics. Her work emphasizes data analysis and computational methods , with open PhD positions for candidates skilled in these areas.

Thierry Kleinمشاهده پروفایل

استاد

• Statistics
• Sensitivity analysis
• Machine learning
• +۷ مورد دیگر

Thierry Klein is a Professor of Statistics at École Nationale de l'Aviation Civile (ENAC) and a member of the Toulouse Institute of Mathematics. His research spans statistical methodology with applications in diverse fields including aviation safety, environmental science, and computational mathematics. Dr. Klein's research focuses on advanced statistical methods, particularly in sensitivity analysis, probability theory, and machine learning. His work on Sobol indices has contributed significantly to variance-based sensitivity analysis, while his research on Wasserstein spaces has advanced the understanding of probability distributions in metric spaces. He has developed innovative methods for Gaussian process regression and has applied statistical techniques to problems in aviation safety, coastal flooding prediction, and paleoenvironmental reconstruction. His recent publications demonstrate a strong focus on sensitivity analysis methods, particularly Sobol indices, with applications across multiple domains. He has also made significant contributions to the theory of Wasserstein spaces and their applications in statistical learning. His work bridges theoretical statistics with practical applications in engineering, environmental science, and aviation. Dr. Klein is currently involved in three major funded projects: the PEPR PDE-AI project (2023-2028) on Partial Differential Equations for Artificial Intelligence, the ANR GATSBII project (2025-2029) as project leader, and the ANR MBAP-P project (2025-2029) as a member. These projects reflect his interdisciplinary approach, combining statistical theory with applications in artificial intelligence, engineering, and environmental science.

Caroline Fossatiمشاهده پروفایل

استاد

• Signal Processing
• Hyperspectral Imaging
• Medical Imaging
• +۲ مورد دیگر

Caroline Fossati is a Full Professor at Ecole Centrale de Marseille and a member of the Institut Fresnel - GSM Signal Processing lab. Her work bridges signal processing, hyperspectral imaging, and medical diagnostics, with a focus on Alzheimer's disease detection using PET imaging and tensor-based noise reduction techniques. Current Affiliations: Ecole Centrale de Marseille, Institut Fresnel Past Affiliations: Université Paul Cézanne (1996-1997) Her research spans: Medical Imaging: Developing advanced algorithms for Alzheimer's diagnosis through 18F-FDG PET scans and multi-level feature extraction. Hyperspectral Processing: Innovating tensor-based methods for noise reduction, dimensionality reduction, and target detection in complex imaging environments. Optical Engineering: Investigating CMOS sensor design, photolithography simulations, and defect characterization in optical materials. Publications demonstrate expertise in multidimensional signal processing, array modeling, and biomedical applications. While no specific awards are documented in the provided text, her extensive co-authorship network and technical contributions across disciplines underscore her academic impact.

Gregory Houzetمشاهده پروفایل

مدرس

• Microwave Engineering
• RF and Wireless Communications
• Antenna Design
• +۴ مورد دیگر

Gregory Houzet serves as a Lecturer at University Savoie Mont Blanc, holding dual roles at the CROMA Laboratory (UMR CNRS 5130) and the University Institute of Technology (IUT) of Chambéry. At the IUT, he heads the Multimedia and Internet Professions (MMI) department and serves as Educational Manager for the DAEU B digitally oriented program. His responsibilities span teaching signal processing fundamentals, electronics for connected objects, and digital literacy across multiple technical curricula. Houzet's research centers on high-frequency electromagnetic systems with emphasis on Microwave Engineering, RF Communications, and Antenna Design. His work explores Ferroelectric Materials for tunable devices, Metamaterials for wave manipulation, and High-Frequency Characterization techniques extending to 100 GHz. Key applications include biomedical sensors, 5G/6G communications, and corrosion-resistant measurement systems. He employs both theoretical modeling and experimental validation through the CROMA Laboratory's advanced facilities. Analysis of his 2022-2025 publications reveals three dominant trends: (1) biomedical sensing through hyperfrequency measurements of physiological fluids, (2) low-cost characterization of corrosive materials using modified SMA probes, and (3) reconfigurable antenna systems for 4G/5G via printed electronics and metamaterials. His work consistently bridges academic research with practical engineering solutions, often featuring cost-effective methodologies and interdisciplinary collaboration within the CROMA framework. Houzet actively contributes to laboratory innovation through the CROMA research unit (UMR CNRS 5130), where his team develops measurement protocols for extreme environments and novel RF components. His leadership in the MMI department drives curriculum development for digital professions while maintaining strong ties to industry applications in IoT and sustainable technology.

• Computational Physics
• Numerical Electromagnetics
• Applied Optics
• +۱۰ مورد دیگر

Thomas Grosges is a Full Professor at the University of Technology of Troyes (France) since 2013, specializing in computational and numerical physics, electromagnetics, applied mathematics, and plasmonics. His academic journey includes an Associate Professorship at UTT (2004-2013), post-doctoral research at UCL/VKI (Belgium) and CORIA/UTT (France), a PhD in Theoretical Physics from Catholic University of Louvain (1999), and a Professorial Thesis (Habilitation) at University of Technology of Compiegne (2007). Research Domains: Computational Physics, Numerical Electromagnetics, Applied Mathematics, Near-Field Optics, Plasmonics, Photothermal Therapy Key Projects: Numerical solver developments for near-field microscopy, optimization of plasmonic nanostructures, adaptive meshing techniques, and applications in biomedical imaging/cryptography His scientific output includes 89 publications with 10,392 reads, focusing on: Photothermal cancer therapy using metallic nanoparticles 3D adaptive remeshing for electromagnetic/thermal simulations Positron Emission Tomography (PET) image reconstruction Plasmonic field enhancement and uncertainty propagation Development of pseudo-random generators using chaotic systems Professor Grosges holds a patent on tomographic encryption methods and has contributed to pedagogical works on the European Credit Transfer System (ECTS) and near-field optical microscopy signal processing.

• Multi-objective optimization
• Artificial intelligence
• Renewable energies
• +۴ مورد دیگر

Ouahib GUENOUNOU is a Researcher-Lecturer at CESI (Conservatoire d'Enseignement des Industries) in Le Mans, France. His primary research focuses on multi-objective optimization, artificial intelligence, renewable energy systems, and modeling/control of engineering systems. He holds a PhD in Automatic Systems from Toulouse University (2009), a Master's in Automatic and Signal Processing from Bejaia University (2003), and an Engineering degree in Electronics (1999). His work integrates fuzzy logic, genetic algorithms, and particle swarm optimization (PSO) to address challenges in photovoltaic energy conversion, MPPT (Maximum Power Point Tracking), and control systems. Key contributions include self-adaptive MPPT algorithms, hybrid energy systems optimization, and TSK fuzzy model simplification. He has published extensively in IEEE journals and conferences, with notable work on real-time implementation of fuzzy controllers and multi-objective optimization frameworks. GUENOUNOU teaches Electronic Control and Photovoltaic Energy at CESI, reflecting his expertise in applying theoretical models to practical engineering problems. His research team, Engineering and Numerical Tools, emphasizes computational methods for energy systems and control engineering.

Charles SOUSSENمشاهده پروفایل

استاد

• Inverse Problems
• Sparse Approximation
• Signal Processing
• +۳ مورد دیگر

Charles SOUSSEN is a Professor at CentraleSupélec and L2S (Laboratoire des Signaux et Systèmes). He holds a PhD from Université Paris-Sud (2000) and a Habilitation from Université de Lorraine (2013). His research focuses on inverse problems, sparse approximation, signal processing, and biomedical applications. He leads the Signals and Statistics Pole at L2S since 2020 and has coordinated the French ANR project BECOSE (2016–2020). His work spans areas like hyperspectral imaging, optical spectroscopy, and algorithm development for sparse representations. Education : Ecole Nationale Supérieure en Informatique et Mathématiques Appliquées (ENSI-MAG), Grenoble (1996) PhD in Signal and Image Processing, L2S, Université Paris-Sud (2000) Habilitation à Diriger des Recherches, Université de Lorraine (2013) Research Interests : His primary research areas include inverse problems, sparse approximation, signal processing algorithms, biomedical imaging, and hyperspectral data analysis. He develops methods for signal deconvolution, source separation, and modal analysis with applications in astronomy, geology, and medical diagnostics. Grants & Projects : ANR BECOSE (2016–2020): Sparse approximation algorithms for ill-conditioned inverse problems Labs & Teams : He is affiliated with L2S and leads the Signals and Statistics research group. His work involves collaborations in biomedical optics, hyperspectral analysis, and algorithm development for engineering and medical applications.

Sanghyeon Yuمشاهده پروفایل

استاد

• Plasmonics
• Subwavelength Resonators
• Mathematical Analysis
• +۴ مورد دیگر

Sanghyeon Yu is a Professor in the Department of Mathematics at Korea University. His primary research focuses on plasmonics, subwavelength resonators, and mathematical analysis of physical phenomena. He has contributed extensively to understanding stress concentration in fluid dynamics, non-Hermitian systems in metamaterials, and acoustic waveguide behaviors in bubbly crystals. Education details not explicitly provided in text Key research interests include exploring subwavelength-scale phenomena, exceptional points in parity-time symmetric systems, and sparsity-based spectral estimation techniques. Recent work emphasizes quantitative analysis of Stokes flow dynamics between circular cylinders and guided acoustic modes in structured materials. His publications demonstrate trends in interdisciplinary mathematical physics, combining analytical methods with applications in optics, acoustics, and materials science. Collaborations involve institutions like ETH Zurich and Springer publications. No awards were explicitly mentioned in the provided text. Advising activity details are not listed here, though collaborations with researchers like Habib Ammari and Brian Davies suggest active team involvement. Research outputs include journal articles and book chapters addressing advanced topics in applied mathematics and engineering physics.

Jeremie J. Viennotمشاهده پروفایل

پژوهشگر

• Quantum Physics
• Quantum Computing
• Superconducting Circuits
• +۳ مورد دیگر

Jeremie J. Viennot is a permanent CNRS researcher at the Néel Institute in Grenoble since 2020, affiliated with the QUEST department (Quantum Electronics, Surfaces and Spintronics) and the Quantum Electronic Circuits Alps (QuantECA) team. His experimental work focuses on light-matter interactions in quantum circuits and nanostructures at millikelvin temperatures and microwave frequencies. His academic background includes a PhD from École Normale Supérieure (Paris) under Takis Kontos, followed by postdoctoral research at JILA (NIST & University of Colorado Boulder) with Konrad Lehnert. Viennot's research investigates fundamental physics of phonons, spins, and photons to engineer quantum devices. Current priorities include developing quantum acoustic systems for microwave-to-optics transduction and spin-phonon interactions for quantum control of spin qubits. His methodology combines in-house chip fabrication with ultra-low-temperature measurements. Analysis of his 15 most recent publications (2014-2025) reveals consistent innovation in quantum acoustics and hybrid circuit QED. Key trends include phonon Fock state manipulation, spin-photon coupling, Kondo physics in quantum dots, and quantum transduction architectures—demonstrating progression from fundamental phenomena to device engineering. Scientific recognition: No specific awards documented in source material While student mentoring details are absent, his leadership in quantum circuit experiments implies advisory roles. Research is conducted within the QuantECA team using the institute's Nanofab platform and dilution refrigerators, with funding likely secured through competitive CNRS mechanisms. The Néel Institute's infrastructure enables his work on superconducting quantum circuits, particularly through the QuantECA team's specialized facilities for nanofabrication and millikelvin measurements, supporting his focus on quantum device development.

Freddy Cliquetمشاهده پروفایل

پژوهشگر

• Autism Research
• Genetics
• Genomics
• +۳ مورد دیگر

Freddy Cliquet is a researcher at Institut Pasteur in Paris, France, specializing in autism genetics and genomics. He is actively involved in multiple research projects focused on understanding the genetic architecture of autism spectrum disorders (ASD). His primary research interests include: Genetic variants associated with autism Phenotypic heterogeneity in autism Sensory processing differences in autism Neuroanatomical differences in autism Computational approaches to analyze genomic data Cliquet has been instrumental in developing GRAVITY, a Java tool based on Cytoscape for integrating genetic variants within protein-protein interaction networks. This tool helps geneticists and clinicians identify causal variants and improve patient diagnosis. He is also involved in designing pipelines for processing and analyzing genomics data, including SNP arrays, whole-exome, and whole-genome sequencing data. His work addresses the big data challenges of managing hundreds of terabytes of genomics data. His recent publications show a strong focus on understanding autism through multiple angles including genetic variants, sensory processing, cortical thickness, and adaptive behavior. The research often involves large-scale international collaborations such as the EU-AIMS Longitudinal European Autism Project (LEAP) and studies on the genetic architecture of autism in the Faroe Islands. Cliquet has received recognition for his contributions to autism research through multiple high-impact publications in prestigious journals including Nature Genetics, American Journal of Psychiatry, and Molecular and Cellular Neuroscience. He is actively involved in several ongoing projects including: Understanding the genetic architecture of autism in the Faroe Islands The IMI2 European project AIMS2-Trials The Paris Autism Research International Sib-Pair (PARIS) Study EU-AIMS project focused on developing treatments for autism

Claude Marchandمشاهده پروفایل

استاد

• Electrical Engineering
• Renewable Energy Systems
• Electric Vehicles
• +۳ مورد دیگر

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.

• Materials Chemistry
• Nanotechnology
• Inorganic Chemistry
• +۳ مورد دیگر

Laure Catala is a Professor at the University of Paris-Saclay, affiliated with the Institute of Molecular Chemistry and Materials of Orsay (ICMMO - UMR 8182). Her research focuses on coordination nanoparticles, spin-crossover materials, and their applications in nanomedicine, energy, and optoelectronics. She leads projects on Prussian blue analogues, magnetic nanoparticles, and functional nanomaterials for biomedical imaging and theranostics. Her work integrates inorganic chemistry, materials physics, and nanotechnology to design responsive materials with tailored properties. Key areas include nanocrystal dynamics, light-driven phenomena, and magnetic behavior modulation. Collaborations span disciplines like ultrafast spectroscopy and catalytic growth of carbon nanotubes. Publications emphasize nanomaterial synthesis, magnetic properties, and biomedical applications. No scientific awards are explicitly mentioned, but her extensive publication record reflects significant contributions to the field.