Alexandre BENOIT is a Professor at Polytech Annecy-Chambéry, Université Savoie Mont-Blanc, and a permanent member of the LISTIC laboratory. His research focuses on deep learning, federated learning, computer vision, remote sensing, and explainable AI, with applications in astrophysics, environmental monitoring, and healthcare. He leads projects on glacier modeling, federated learning bias mitigation, and satellite image analysis. His teaching activities include courses on deep learning (TensorFlow/PyTorch), image processing (Matlab/OpenCV), and programming (C/C++/Python) at undergraduate and graduate levels. He has supervised over 10 PhD students and collaborates with industries like Total, Renault, and startups on AI integration. Research highlights include developing the GammaLearn framework for Cherenkov Telescope Array data analysis and bio-inspired retina models integrated into OpenCV. He co-organized major conferences such as CBMI 2012 and EUSFLAT 2011, and serves on editorial boards for IEEE Transactions on Image Processing and other journals. Current projects address federated learning fairness, glacier thickness estimation via deep learning, and oil slick detection using SAR imagery. His work emphasizes frugal models, physically informed AI, and ethical AI practices in collaborative environments.
Romain Feron is a researcher at the Laboratoire d'Acoustique de l'Université du Mans (LAUM) and a teacher-researcher within the ESEO Group , where he leads the GSII team . His work focuses on optical instrumentation , signal processing , and data analysis for geophysical applications. Key affiliations: LAUM, ESEO Group, PREST Project, EPOS-France Research specialties: Optical seismometers, Volcanic hazard monitoring, Geophysical instrumentation His publications demonstrate expertise in optical sensor development for extreme environments, including deployments at La Soufrière volcano and Caribbean subduction zones . Recent work (2024) details the first cabled optical ocean-bottom seismometer installation, combining 1.5km fiber optics with real-time seismic monitoring . Collaboration networks include IPGP , GEOAZUR , and OVSM-IPGP-PREST consortia. He has contributed to ANR projects on optical geohazard monitoring and participated in marine seismic campaigns like FIBROSAINTES-2021 .
Mohammed Nabil EL KORSO is a Professor at CentraleSupélec, part of the University of Paris-Saclay. He is affiliated with the Laboratoire des Signaux et Systèmes (L2S). His research focuses on statistical signal processing, machine learning, detection/estimation theory, and robust signal processing, with applications in radioastronomy, radar systems, and source localization. He has contributed extensively to methodologies like Kalman filtering, covariance estimation, and array processing. His work emphasizes robust techniques for handling non-Gaussian noise and interference, particularly in radio interferometry and SAR imaging. Key contributions include algorithms for array calibration, RFI mitigation, and subspace estimation. His research also addresses challenges in distributed and adaptive signal processing, with applications to vital signs monitoring and robotic systems. He has published over 50 journal articles and conference papers, focusing on performance bounds (Cramér-Rao, Weiss-Weinstein), Bayesian methods, and practical implementations for large-scale systems. His recent work includes advancements in low-cost interferometric imaging and phase estimation for SAR time series. EL KORSO collaborates with international projects like the Square Kilometre Array (SKA), contributing to technological developments in radio astronomy. He supervises research in signal processing labs and actively participates in academic conferences such as EUSIPCO and ICASSP.
Pedro Alzari is a leading researcher and Head of the Structural Microbiology Unit within the Department of Structural Biology and Chemistry at the Institut Pasteur in Paris, France. He is a Principal Investigator actively leading research on the structural biology of bacterial pathogens, with a primary focus on Mycobacterium tuberculosis and other Actinobacteria. His work is central to understanding microbial physiology, pathogenesis, and cell signaling mechanisms. His research interests lie at the intersection of structural biology, biochemistry, and microbiology. Dr. Alzari's work focuses on elucidating the three-dimensional structures and functional mechanisms of proteins involved in critical bacterial processes such as cell division, cell wall synthesis, and metabolic regulation. His group employs a wide array of techniques, including X-ray crystallography, cryo-electron microscopy (cryo-EM), and biophysical methods, to study key systems like the PknA/PknB serine/threonine kinases and the divisome-elongasome machinery in Corynebacteriales. A significant theme in his recent work is the discovery of eukaryotic-like signaling and structural systems in bacteria, such as the repurposed gephyrin-like protein in cell division. The trends in Dr. Alzari's recent publications (2023-2025) reveal a strong emphasis on integrative structural biology to solve complex problems in antimicrobial resistance and infectious disease. His work bridges fundamental science with drug discovery, particularly in developing new inhibitors for M. tuberculosis DNA gyrase and Plasmodium proteases. The research consistently involves high-resolution structural analysis (cryo-EM and crystallography) to understand enzyme mechanisms, inhibitor binding, and protein-protein interactions at the atomic level, providing a rational basis for therapeutic intervention. Dr. Alzari has secured significant funding for his research, leading major projects such as the ongoing 'PknA/PknB in mycobacterial cell division' and the completed 'MM4TB' project. He mentors a dynamic team of researchers, including PhD students, postdoctoral fellows, and research engineers, fostering the next generation of scientists in the field. His laboratory is a hub for structural microbiology, contributing to a deeper understanding of bacterial cell biology. The group's work on the divisome and elongasome in Actinobacteria has revealed crucial crosstalk between these machineries, identifying potential new targets for anti-mycobacterial drugs. The team's use of the Institut Pasteur's core facilities, such as the nanoimaging Cryo-EM core facility, underscores their commitment to cutting-edge methodology.
Slim Essid is a Full Professor at Télécom Paris and coordinator of the Audio Data Analysis and Signal Processing (ADASP) group. He holds a PhD and HDR from Université Pierre et Marie Curie (UPMC). His research focuses on machine learning, artificial intelligence, and signal processing applied to temporal data analysis, including multiview learning, representation learning, and structured prediction. Applications span music content analysis (MIR), multimodal perception (e.g., EEG data analysis), and human behavior analysis. He has advised 15 PhD students and collaborated on over 14 post-doctoral projects. Education: PhD in Signal Processing, Université Pierre et Marie Curie (2005) Habilitation (HDR), Université Pierre et Marie Curie (2015) M.Sc. in Digital Communication Systems, Télécom ParisTech (2002) Engineer Degree, École Nationale d’Ingénieurs de Tunis (2001) Research interests emphasize multimodal learning, self-supervised representation learning, and audio-visual fusion. Key projects include sound-prompted segmentation, zero-shot audio captioning, and EEG-based auditory attention decoding. Over 150 peer-reviewed publications exist across conferences like NeurIPS, ICML, and journals like IEEE Transactions. Active in reviewing for top-tier venues and advising French/EU research projects. Labs/Teams: Member of the Signal, Statistics and Learning (S2A) research team and the Information Processing and Communication Laboratory (LTCI).
Vicente Zarzoso is a full Professor at Université Côte d'Azur and a Chairholder at the 3IA (Interdisciplinary Institute of Artificial Intelligence), where he conducts research at the intersection of artificial intelligence, signal processing, and biomedical engineering. His work is primarily affiliated with the I3S laboratory, a joint CNRS and Université Côte d'Azur research unit. His research focuses on fundamental aspects of statistical and array signal processing, machine learning, tensor decompositions, L1-norm criteria, blind and semi-blind estimation, source separation, and independent component analysis. These methodologies are applied to critical challenges in biomedical signal processing , including atrial fibrillation analysis, physiological signal modeling, and fetal electrocardiogram extraction, as well as in communications , such as channel identification and equalization. The IAblation project, led by Prof. Zarzoso, aims to develop AI-driven solutions for patient-centered catheter ablation in atrial fibrillation, positioning his work at the forefront of computational medicine. This initiative reflects a strong translational focus, bridging advanced signal processing with clinical cardiology to improve treatment efficacy. While no specific publications or awards are listed in the provided text, his research profile demonstrates a consistent trajectory in developing robust, mathematically grounded AI and signal processing techniques for real-world healthcare applications. His leadership in the 3IA highlights his role in shaping interdisciplinary AI research in France. Scientific Awards: No awards mentioned. Prof. Zarzoso advises students and leads a research team within the 3IA and I3S, though specific advisees are not listed. He is involved in significant research grants supporting AI for integrative computational medicine, particularly through his 3IA Chair. His lab contributes to the Doctoral & Postdoctoral Seminar program, indicating active mentorship and academic leadership. The research is conducted within the I3S laboratory, a key hub for digital sciences at Université Côte d'Azur, and is part of the broader 3IA ecosystem focused on ethical and human-centered AI. His team collaborates across disciplines, integrating expertise from engineering, computer science, and clinical medicine.
Thomas Cottineau is a Chargé de recherche CNRS at the Institute of Chemistry and Processes for Energy, Environment and Health (ICPEES), a joint research unit of the CNRS and the University of Strasbourg. He leads research within the Photocatalysis and Photoconversion team, focusing on the development of semiconductor nanostructures for solar energy conversion and environmental applications. His work is situated at the intersection of materials science, electrochemistry, and nanotechnology. PhD in Materials Science, Solid-State Chemistry Specialization, University of Nantes, 2007 Habilitation à Diriger des Recherches (HDR), University of Strasbourg, 2022 Postdoctoral Researcher, LMSPC, Strasbourg, 2009–2014 Postdoctoral Researcher, UQAM, Montréal, 2008–2009 Engineering Degree in Materials Science, Ecole Polytechnique de l’Université de Nantes, 2004 Thomas Cottineau's primary research interests lie in photoelectrochemistry , solid state chemistry , and photocatalysis , with a strong focus on titania (TiO₂) nanostructures . His group specializes in synthesizing and modifying 1D TiO₂ nanostructures, such as nanoparticles and aligned nanotubes, through doping, co-doping, and co-catalyst deposition. The core applications of his research are the generation of solar fuels—specifically hydrogen via photoelectrochemical water splitting—and the remediation of pollutants in aqueous and gaseous environments. He has also developed expertise in innovative photoelectrochemical analysis methods, including scanning photoelectrochemical microscopy for rapid screening of material properties. His recent publications demonstrate a consistent and evolving research trajectory into advanced photocatalytic and photoelectrochemical materials. The articles highlight a strong trend towards optimizing material performance through strategic modifications like co-doping (e.g., Nb,N-TiO₂) and co-catalyst decoration, as well as developing novel synthesis and characterization techniques. A significant portion of his work is dedicated to fundamental studies of material properties and surface interactions, such as the investigation of organophosphorus compound detection on functionalized TiO₂ microcantilevers, which bridges his core expertise with sensor development. His scientific contributions have been recognized through competitive funding, including being the coordinator of the ANR BAGETE Young Researcher Project. He has also secured funding as a partner in several major collaborative projects such as ANR OSCARE, MITI NICE, PEPR H2 HYDRO, and FRCR HyPE. His grant portfolio also includes leadership of an IdEX CoDoTiN project and co-funding of PhD grants from the Grand Est Region. Thomas Cottineau has advised doctoral students, including Thomas Favet, whose PhD was co-funded by the Grand Est Region. His collaborative network is extensive, involving partnerships with materials chemists who develop novel semiconductors and physical chemists who provide access to advanced characterization techniques. His work is conducted within the state-of-the-art facilities of ICPEES, leveraging core technical platforms for material synthesis and analysis.
Simon Laurent is a Lecturer at Le Mans University and a researcher at the Laboratory of Acoustics (LAUM) since 1994. His work bridges signal processing with acoustics and mechanical applications, focusing on innovative solutions for audio systems, biomedical diagnostics, and environmental monitoring. Research Focus: Non-linear systems (electrodynamic loudspeakers), biomedical signals (snoring), sensor arrays (fractional sphere antennae), and impact signal analysis (water droplets on complex liquids) Recent Publications highlight applications in precision livestock farming, adaptive audio systems, and acoustic diagnostics. Key trends span multichannel signal processing , bioacoustic monitoring , and non-linear acoustic modeling . Patents include improved microphone array designs for spatial sound capture. Collaborative work on droplet impact acoustics and mobile sound zones demonstrates interdisciplinary applications.
Kevin MICHENEAU is a Teacher-Researcher at CESI School of Engineering, affiliated with the LINEACT research laboratory in Guipavas, France. His work bridges building energy systems and experimental particle physics, focusing on data-driven optimization of smart buildings and dark matter detection. Education: PhD in Subatomic Physics, University of Nantes (2018): "Study of residual electrons in the XENON100 experiment" Master's degree in Research in Subatomic Physics, University of Nantes (2014) Research Focus: Dr. MICHENEAU develops advanced models for building energy performance with emphasis on occupancy behavior impact and smart control systems . His methodology combines sensor fusion and multi-objective optimization to balance energy efficiency with occupant comfort. Previously, he contributed to XENON dark matter experiments through signal reconstruction and background modeling. Publication Evolution: His research trajectory shows a strategic pivot from particle physics (2017-2019) to building energy systems (2024), applying rigorous data analysis techniques across domains. The 2024 MPC optimization study demonstrates transferable methodology from high-precision physics to sustainable engineering. Mentorship: Currently supervising PhD candidate BOURGOIN on "Towards modeling the impact of occupancy on the energy behavior of smart buildings" (2023-2026). Research Ecosystem: Member of the "Engineering and Digital Tools" team within LINEACT, teaching Computer Science, Mechanics, and Physics across preparatory and engineering cycles while contributing to PhD training at University of Nantes.
Jean-Christophe Cousin is a Lecturer at Télécom Paris, affiliated with the Radio-Frequency Microwaves and Millimeter Waves (RFM²) team and the Information Processing and Communication Laboratory (LTCI) within the Communications and Electronics (Comelec) department. His research focuses on wireless communication technologies, particularly microwaves, radar systems, and antenna arrays. His work addresses challenges in 6G wireless systems UWB localization Millimeter-wave propagation Antenna design and has contributed to understanding reflection coefficients, material permittivity, and channel delay spread in high-frequency environments. Publications highlight advancements in Indoor localization accuracy Signal propagation modeling Material characterization for 6G Antenna array optimization with applications in sensor networks and radar systems.
Edwin A. Bergin is Professor of Astrophysics and Chair of the Department of Astronomy at the University of Michigan, within the College of Literature, Science, and the Arts. He is a leading researcher in the fields of star and planet formation, interstellar chemistry, and astrobiology. His educational background includes a BS from Villanova University and a PhD from the University of Massachusetts. He previously worked as an astronomer at the Harvard-Smithsonian Center for Astrophysics before joining the University of Michigan. Bergin’s research focuses on the molecular origins of life, particularly the chemistry of water and organic molecules in space. He uses observational and theoretical methods to study how these molecules form and evolve from interstellar clouds to planetary systems. His work has significantly advanced our understanding of how Earth acquired its water and carbon, with implications for the potential habitability of exoplanets. His recent publications reflect a strong emphasis on protoplanetary disk chemistry, molecular detection using facilities like ALMA and Herschel, and the interplay between stellar radiation and disk chemistry. Themes include water vapor in habitable zones, carbon processing, and the chemical evolution of planet-forming regions. U-M Henry Russel Award for exceptional scholarship and teaching Bergin has advised several graduate students, including Jeffrey Fogel and Nathan Crockett. He has led major research initiatives such as HEXOS and utilizes advanced observational tools like ALMA and SOFIA. He teaches a range of courses from introductory astronomy to graduate-level astrophysics of the interstellar medium. He is affiliated with the Michigan Institute for Research in Astrophysics and conducts research through observational campaigns, theoretical modeling, and interdisciplinary collaboration with geochemists to understand planetary composition and evolution.
Hassen AZIZA is a senior Associate Professor and Head of the Memory Team (MEM) within the IM2NP research unit at Aix-Marseille University, specializing in microelectronics and emerging memory technologies. His work bridges academic research and industrial applications through collaborations with ST-Microelectronics, CEA-Leti, Thales, and international universities. He earned both his Master of Science in Electrical Engineering (MSEE) and PhD with honors from Aix-Marseille University. His educational background established the foundation for his expertise in semiconductor devices and memory systems. His research centers on Microelectronics , Emerging Memories , and Neuromorphic Computing , with specific focus on RRAM reliability, computation-in-memory architectures, and hardware security. Current projects address critical challenges in RRAM variability, fault tolerance, and energy-efficient neural network implementations using memristive crossbars. His work spans from fundamental device physics to system-level integration for IoT and biomedical applications. Analysis of his 15 most recent publications reveals dominant trends in RRAM reliability engineering (35% of articles), neuromorphic hardware implementation (30%), and sensor system development (20%). Key subfields include fault-tolerant memory design, variability-aware neural networks, and low-power IoT circuit optimization, demonstrating consistent focus on bridging device physics with practical system requirements. Best Paper Award at IEEE ETS (2021) for RRAM fault analysis CoolGames Silver Medal (2019) for high-altitude balloon project Eiffel Scholarship for PhD student (2018) Guillemin-Cauer Best Paper Award (2014) Multiple IEEE conference best paper awards (2013, 2011) SIMagine contest finalist/silver medalist (2010, 2009) He has supervised 10 PhD students (8 graduated via industry-oriented CIFRE theses), including Eiffel scholarship recipient Hussein BAZZI. His research is funded through strategic industry partnerships with ST-Microelectronics, CEA-Leti, and Thales Silicon Security, plus European initiatives like the French Tech LAB grant for the SMILE air quality monitoring startup project. Current grants focus on RRAM commercialization and neuromorphic hardware development. As leader of the Memory Team (MEM) within IM2NP's Department of Analysis and Design of Electronic Systems, he directs research on resistive memories, neuromorphic circuits, and sensor interfaces. The team maintains strong industry links through joint projects with semiconductor manufacturers and participates in international standardization efforts for emerging memory technologies.
Pierre Combeau serves as an Associate Professor within the School of Engineering at the University of Poitiers, France, affiliated with the LIAS laboratory (Laboratoire d'Informatique et d'Automatique pour les Systèmes)—a joint research unit between ENSIP (École nationale supérieure d'ingénieurs de Poitiers) and ISAE-ENSMA. His work centers on the Automatic Control Team, contributing to France's national research infrastructure in systems engineering. His research integrates Automatic Control and Systems Engineering with real-world applications in wireless communications and intelligent transport systems. Key specialties include power control algorithms for LTE networks, smart antenna design for vehicular communications, and chaos-based secure transmission methods. This interdisciplinary approach bridges theoretical control frameworks with practical implementations in telecommunications infrastructure and mobility solutions, emphasizing robustness and efficiency in dynamic environments. Publication analysis reveals consistent focus on control-theoretic solutions for communication challenges, particularly in power optimization, adaptive beamforming, and chaos-driven security protocols. His work spans theoretical advancements—such as LMI-based controller synthesis—and applied deployments in transport telematics and indoor wireless systems, demonstrating strong industry-academia collaboration through IEEE-published outcomes. Scientific Awards: No awards or fellowships were documented in the source material. Advising and Grants: The text provides no details regarding doctoral students, research grants, or funded projects under his supervision. Laboratory Structure: LIAS operates across two sites—ENSIP in Poitiers (Bâtiment B25) and ISAE-ENSMA in Chasseneuil (Téléport 2)—organized into three core teams: Automatic Control, Data Engineering, and Real Time. Combeau's contributions specifically advance the Automatic Control Team's mission in dynamic system regulation.
Jerome Martin is an Assistant Professor at the University of Technology of Troyes (UTT) and a member of the Light, Nanomaterials, and Nanotechnologies (L2n) laboratory, part of CNRS-UMR 7076. His research focuses on aluminum plasmonics, plasmon-assisted photoluminescence in ZnO, and nanospectroscopy/nanofabrication techniques. He has been affiliated with UTT since 2012, with prior postdoctoral work there from 2010–2012. Martin holds a PhD in Physics from Université de Lorraine (2009) and a Master's in Physics (Plasmas, Optoelectronics, Micro-Systems) from the same institution (2005). Research Interests : His work explores aluminum-based plasmonic systems for applications in nanophotonics, including optical antenna design, UV emission enhancement via surface lattice resonances, and nanofabrication methods for precise material structuring. He also investigates the interplay between material morphology (e.g., ZnO thin films) and optoelectronic properties. Key Contributions : Recent articles highlight advancements in scalable broadband optical antennas using Cayley tree geometries, zeptogram-scale chemical sensing via hybrid plasmonic-photonic sensors, and precise characterization of plasmonic resonances in aluminum nanostructures through electron microscopy and spectroscopy. Teaching : He instructs courses in optical technologies, quantum optics, semiconductor materials, and electricity/magnetism at both undergraduate and graduate levels. Labs & Facilities : Active in the L2n lab, which provides advanced resources for nanomaterial synthesis, spectroscopic analysis, and plasmonic device prototyping.
Thomas Jean-Hugh is a Professor and Teacher-Researcher at Le Mans Université , affiliated with the Laboratoire d’Acoustique de l’Université du Mans (LAUM) , a leading research institute in acoustics in France. His role involves both teaching and active research in acoustic imaging, signal processing, and structural acoustics. Education PhD in Acoustics and Signal Processing (exact institution and year not specified in text) Research Interests Thomas Jean-Hugh’s research focuses on acoustic source localization and imaging , particularly through the use of microphone arrays , beamforming , and inverse problem solving . His work spans: Acoustic holography for non-stationary and confined sources UAV acoustic detection and tracking using sparse sensor arrays Vibro-acoustic diagnostics for automotive and naval structures Speech processing in meeting environments using distant microphone arrays Non-destructive testing using acoustic emission and imaging techniques Research Trends His recent publications (2022–2025) reveal a strong focus on machine learning-enhanced acoustic imaging , real-time UAV detection , and robust speech processing . He integrates genetic algorithms , Bayesian regularization , and circular harmonics into acoustic array processing, with applications in autonomous systems , marine biology , and automotive acoustics . Scientific Contributions Over 70 peer-reviewed publications in journals and conferences Active supervision of PhD students and postdocs in acoustics and signal processing Participation in international conferences such as Interspeech , ICSV , GRETSI , and ICA Collaborations & Labs He collaborates extensively within LAUM and with external partners including CNRS , ISCA , and international research groups. His lab work involves experimental acoustics , sensor array design , and real-time signal processing .
