Eric Grivel is a Professor at the University of Bordeaux affiliated with the IMS Bordeaux (Integration Laboratory from Materials to Systems). His research focuses on Signal and Image Processing Spectral Analysis Stochastic Process Modeling His work spans theoretical contributions to signal processing and practical applications in radar systems and biomedical signal analysis. Key trends in his recent publications include Optimization of Detrended Fluctuation Analysis (DFA) for Hurst exponent estimation Development of divergence metrics for comparing ARMA and Gaussian processes Waveform design in MIMO OFDM DFRC (Dual Function Radar-Communication) systems Integration of AI tools like ChatGPT in educational signal processing projects Collaborations and industrial partnerships evident in his publications involve institutions such as Indian Institute of Science Thales Airborne Systems STMicroelectronics CEA Leti Slb (Schlumberger)
Dr. Yves Boubenec is an Associate Professor at École Normale Supérieure (ENS)-PSL University, Paris, France. He serves as Head of the LSP Neuro Platform and Director of Studies at the Department of Cognitive Studies. Academic Rank: Associate Professor Institution: ENS-PSL Departments: Cognitive Studies (ENS), LSP Neuro Platform Email: yves.boubenec@ens.psl.eu Research Focus: Boubenec investigates neural mechanisms of auditory perception and cognition using integrated methodologies spanning single-neuron electrophysiology to large-scale neuroimaging. His work reveals how context, learning, and multisensory interactions shape sound encoding in mammalian neocortex. Primary Research Themes Context-dependent auditory encoding Perceptual attention mechanisms Task-driven neural plasticity Self-supervised learning models Population-level cortical dynamics Human/ferret auditory comparisons Publication Trends: Recent work (2024-2025) examines speech production networks, premotor auditory categorization, and algebraic structures in sound learning. Earlier studies (2018-2022) focus on population gating, hierarchical auditory coding, and self-voice mechanisms. 2025 Self-voice frequency analysis Hierarchical ferret auditory cortex mapping Temporal window constraints 2024 Premotor category hemodynamics Self-supervised sound structures Human speech cortical encoding Methodological Expertise: Combines awake ferret functional UltraSound, Neuropixels recordings, and computational modeling to analyze neural representations across spatial scales. Specializes in translating animal model findings to human auditory processes.
Yannick Benezeth is a Professor of Computer Science at Université de Bourgogne Franche-Comté in Dijon, France, where he teaches courses on databases, optimization, and image/video processing at the IUT de Dijon. He conducts research at the ImViA research laboratory (EA7535), focusing on video health monitoring and video analytics applications. His academic journey includes serving as an Associate Professor from 2011-2024 and earning his Habilitation à Diriger des Recherches (HDR) in 2019. Dr. Benezeth's research interests center on video-based health monitoring systems, particularly remote photoplethysmography (rPPG) for non-contact vital sign measurement. His work spans computer vision , video analytics , and physiological signal processing , with applications in stress detection, abnormal event recognition, and health monitoring. He has developed several publicly available datasets including UBFC-Phys, UBFC-RPPG, and IMVIA-NIR that have become valuable resources for researchers in affective computing and remote physiological monitoring. His publication record demonstrates consistent contributions to top computer vision venues including CVPR, ICPR, and IEEE Transactions. Recent work shows a clear trend toward multimodal approaches combining video analysis with physiological signal processing, particularly in psychophysiological stress studies. The UBFC-Phys dataset published in 2021 represents a significant contribution to affective computing research with over 50 participants and comprehensive physiological measurements. As a research supervisor with HDR qualification, Dr. Benezeth leads projects in the ImViA laboratory focusing on video analytics for healthcare applications. His team has developed innovative methods for background subtraction, abnormal event detection, and skin tissue segmentation that have been adopted by other researchers through his publicly shared code and datasets. Current work appears focused on improving the robustness of video-based physiological measurement under realistic conditions.
Auguste Genovesio is a Research Director (DR INSERM) leading the Computational Bioimaging and Bioinformatics team at the Centre for Computational Biology within the École Normale Supérieure (ENS) in Paris. His work focuses on large-scale cellular morphology analysis, integrating machine learning, microscopy, and computational modeling to study cellular responses to perturbations. His team develops algorithms for analyzing high-dimensional biological data, with applications in drug discovery, functional genomics, and neuroscience. Education and Affiliations: Genovesio’s research is anchored at ENS and collaborates with institutions like Institut Curie, Collège de France, and ESPCI. His lab develops open-source tools such as PySpacell and ALFA , advancing spatial analysis and genomic data processing. Research Interests: His group combines deep learning, bioinformatics, and experimental biology to tackle challenges in cellular dynamics, morphological heterogeneity, and predictive modeling. Recent work includes applying diffusion models to reveal subtle phenotypes and optimizing microscopy image analysis pipelines. Key Projects: Cross-modal knowledge distillation for transcriptomics, latent diffusion models for small datasets, and super-resolution microscopy via StyleGAN regularization. Applications: Collaborations in drug screening, neurobiology (e.g., Drosophila memory studies), and cancer cell analysis. Publications: Over 50 peer-reviewed articles since 2007, including work in Nature Communications , Developmental Cell , and NeurIPS . Recent focus on generative AI for biological image analysis and self-supervised learning biases. Grants & Awards: While specific grants aren’t listed, his lab’s cutting-edge research suggests significant institutional and collaborative support. No explicit awards mentioned in texts. Labs/Teams: Director of the Computational Bioimaging group, part of the Functional Genomics section at ENS. Supervises PhD students and postdocs in AI-driven biology and computational microscopy.
Ammar Mian is an Associate Professor at Université Savoie Mont Blanc, affiliated with the LISTIC lab and Polytech Annecy-Chambéry. He holds a PhD from CentraleSupélec (2016-2019) and conducted postdoctoral research at Aalto University (2019-2020). His research focuses on statistical signal processing, machine learning, and Riemannian geometry with applications in remote sensing and frugal computations. He leads the Qanat project, an experiment tracking tool for reproducible research. Research interests include covariance-based methods for SAR image analysis, robust detection algorithms for sonar and GPR systems, and optimization on Riemannian manifolds. His work emphasizes reproducibility in ML and efficient computational techniques for resource-constrained environments. Key contributions include real-time SAR time-series change detection, robust classification using second-order deep learning models, and novel methods for handling missing data in EEG signals. His recent articles (2023-2025) explore reproducibility frameworks, GPR-based object classification, and Riemannian geometry applications. No awards listed, but maintains active collaborations through LISTIC and industry partnerships. Advises students via internship programs (e.g., Federated ML energy cost analysis). Lab work involves developing open-source tools like Qanat for experiment management and reproducibility.
Camille Berthelot is a Principal Investigator and head of the Comparative Functional Genomics research group at the Institut Pasteur in Paris, France. Her work lies at the intersection of evolutionary biology, genomics, and reproductive physiology, with a focus on understanding how genomic changes drive evolutionary innovations in vertebrates, particularly the evolution of menstruation in primates. Her research leverages cutting-edge technologies including single-cell RNA sequencing, organoid models, and computational frameworks to compare gene expression and regulation across species such as humans, macaques, and mice. She investigates how evolutionary changes in gene function contribute to novel traits and how these relate to diseases like endometriosis. A major focus is the use of menstrual fluid as a non-invasive biomarker source for endometriosis, a direction highlighted in her systematic review published in Reproductive Biology and Endocrinology . Her recent publications span high-impact journals such as Science , Genome Research , and Nature Ecology & Evolution , covering topics from teleost fish phylogeny to regulatory evolution in mole-rats. These works reveal a consistent trend in using comparative genomics to decode deep evolutionary questions, often in collaboration with institutions like QMUL and INSERM. ERC Starting Grant (EVOMENS) – Decoding the genetics of menstruation evolution in primates Collaborative project on hypoxia adaptation in mole-rats Development of bioinformatics tools like FINSURF for non-coding variant classification She actively mentors a team of postdocs, PhD students, and master’s interns, including Claire Lavergne, Leo Zeitler, and Eulalie Liorzou. Former members such as Malgorzata Gazda and Axelle Brulport have gone on to independent academic positions, reflecting her role in training next-generation scientists. Camille Berthelot returned from maternity leave in June 2024 and remains actively engaged in research, publication, and team leadership at the Institut Pasteur.
Pierre Duhamel is a researcher affiliated with the Signals and Systems Laboratory, focusing on digital signal processing, communication systems, and multimedia security. His work spans theoretical and applied research in network coding, image compression, and channel coding. Primary affiliation: Signals and Systems Laboratory Research roles: Academic researcher, inventor (patents in image coding) Research interests: Duhamel's work addresses challenges in signal processing (e.g., wavelet transforms, L∞ norm compression), communication systems (e.g., robust decoding, WiMAX MAC protocols), and multimedia security (asymmetric watermarking, screen content coding). He explores optimization techniques for wireless networks and error resilience in multimedia transmission. Recent publications (2024–2025) reflect trends in image and signal processing , network optimization , and communication security , with applications to hyperspectral imaging, turbo coding, and cooperative wireless systems.
Frédéric Chédin is a Professor in the Department of Molecular and Cellular Biology at the University of California Davis, College of Biological Sciences. He has held continuous faculty positions at UC Davis since 2004, progressing from Assistant Professor (2004-2010) to Associate Professor (2010-2015), and currently serving as full Professor (2015-present). His research focuses on R-loop biology, DNA methylation, and epigenetic regulation. Chédin's laboratory investigates how RNA:DNA hybrids form, persist, and impact genome stability, with particular emphasis on their roles in transcription, chromatin organization, and disease mechanisms. His work has established foundational methodologies for R-loop detection and mapping, including critical assessments of common techniques like the S9.6 antibody. Chédin's publication record demonstrates consistent leadership in R-loop research, with numerous high-impact papers in journals like PNAS , Nature Communications , and Molecular Cell . His recent work explores protein-mediated R-loop stabilization, R-loop classification systems, and connections between R-loops and topological stress management. Director of NIH T32 Predoctoral Training Program in MCB (2020-present) Co-Director of NIH T32 Program (2019-2020) Chair of Integrative Genetics and Genomics (2015-2019) His laboratory trains numerous graduate students and postdoctoral researchers, with frequent collaborators including Stella Hartono and Lionel Sanz appearing as first authors on key publications. Chédin maintains active service roles in graduate education and program leadership at UC Davis.
Agnès Ceccarelli is an Associate Professor at ICN Business School's Department of Human Resources and Organizational Behavior. She holds a Master's from ESC Troyes and Trinity College Dublin, and a PhD from the University of Lorraine (2012) on appearance-based discrimination in recruitment interviews. Her research focuses on dress code policies, social innovation, organizational justice, and generational workplace dynamics. Teaching spans Bachelor, Master, MSc, and EMBA programs, covering topics like sustainable management, self-image, and impression management. She also advises executives globally via AC Conseil, her consulting firm (established 1998). Key areas include non-verbal communication, professional appearance, and corporate social responsibility (RSE). Her 2020-2025 publications analyze dress code impacts, Gen Z workforce challenges, and social innovation frameworks. Recent work explores digital accessibility, banking sector hiring norms, and post-pandemic workplace culture shifts. She frequently contributes to media discussions on professional attire ethics and leadership strategies. Notable teaching includes 'Management Durable des Organisations' (2023), 'SMArt Hackathon' (2023), and executive courses on self-image and diversity management. Her research also examines organizational justice paradoxes in recruitment processes and cross-generational workforce dynamics.
Martial Mermillod is a Full Professor at Grenoble Alpes University , directing the Laboratoire de Psychologie et NeuroCognition (LPNC, CNRS UMR 5105) since 2021. His academic career spans institutions like Clermont-Ferrand 2 and Liège University, with a focus on Neural Computation, Psychology, and Cognitive Neuroscience . As a holder of MIAI 3IA Chairs (2019-2023, 2023-2025) and CNRS delegations, he bridges AI and human cognition. PhD in Cognitive Sciences (University of Liège, 2004) Post-doctoral research at LPNC (2004-2005, Fyssen Foundation) Master's DEA (University of Savoie, 2000) His research explores bio-inspired AI , particularly lifelong learning in neural networks, the Predictive Brain Hypothesis (top-down cognitive modulation), and the role of spatial frequencies in threat detection . He has developed models for robust AI against adversarial attacks, inspired by human brain mechanisms. Key contributions include: 15+ peer-reviewed articles (2015-2023) on AI, emotion recognition, and cognitive neuroscience Grants from MIAI 3IA , CEA , ANR , and NVIDIA Leadership in national and international projects (MIT MISTI, Franco-German AI4HP) He leads the Vision & Emotion team at LPNC and has held administrative roles including UGA Council member and co-founder of the Institut Carnot Cognition steering committee.
Frédéric Dufaux is a CNRS Research Director at Université Paris-Saclay, affiliated with CentraleSupélec and the Laboratoire des Signaux et Systèmes (L2S), where he heads the Telecom and Networking hub. He holds an M.Sc. in Physics (1990) and a Ph.D. in Electrical Engineering (1994) from the Swiss Federal Institute of Technology (EPFL). With over 20 years of research experience, he previously worked at EPFL, MIT, and industry leaders including Compaq and Digital Equipment. His research spans: Fundamental video coding techniques and 3D video systems High dynamic range imaging and perceptual quality assessment Privacy-preserving video surveillance and multimedia content analysis Wireless video transmission and next-generation compression standards Recent publications focus on HDR compression optimization, semantic video coding using seam carving, distributed video coding with machine learning, and 3D video standardization, demonstrating consistent innovation in video processing architectures and perceptual quality enhancement. Awards & Honors: IEEE Fellow Two ISO Awards for contributions to JPEG 2000 wireless (JPWL) and JPSearch standards He leads multiple standardization initiatives in MPEG/JPEG committees and has held editorial leadership roles including Editor-in-Chief of Signal Processing: Image Communication (2010-2019). He chairs the EURASIP Technical Area Committee on Visual Information Processing and has organized major conferences including ICIP and MMSP.
Kristina Nielsen is an Associate Professor of Neuroscience at Johns Hopkins University School of Medicine and a researcher at the Zanvyl Krieger Mind/Brain Institute. She investigates the function, development, and plasticity of higher-level visual cortex circuits. PhD, Max Planck Institute for Biological Cybernetics (Germany) Postdoctoral work at Salk Institute (2006-2012) with Ed Callaway and Rich Krauzlis Her research focuses on: Structure-function relationships in higher visual cortex Neural mechanisms of object recognition Developmental plasticity of visual circuits Two-photon microscopy applications in primates Viral vector-based circuit analysis Key article trends include primate visual cortex organization, motion and shape integration, and cortical development mechanisms. She has contributed to journals like Nature , Neuron , and Journal of Neuroscience . Scientific awards: CNRS 2025 bronze and silver medals Current lab members include graduate researchers Dallas Khamiss, Emmanuel Osikpa, and Brandon Nanfito. Her team has received ANR funding for projects like 'Earlier stages of development of the motion pathway' and 'Encoding of 2D and 3D shape in primate V4.'
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.
Anne Kavounoudias is a Professor at Aix-Marseille University, where she serves as Director of the Body & Multisensoriality team within the NeuroMarseille Institute. She also holds the position of Director of EUR Neuroschool, a University Research School that brings together L3, Master and PhD programs in Neurosciences from Aix-Marseille University. Since 2020, she has served as Deputy Director of the NeuroMarseille Institute and previously served as a member of CNU section 69 (2015-2022) and the Board of the Doctoral School of Life and Health Sciences (2019-2021). Dr. Kavounoudias' research focuses on the mechanisms and neural bases underlying multisensory integration in the representation and control of human body movement. Her work sits at the interface of neurophysiology and experimental psychology, examining how muscular proprioceptive, tactile, and visual sensitivities interact to ensure movement perception and control. She conducts studies with healthy adults, elderly subjects to understand adaptive processes during non-pathological aging, and individuals who are transiently deafferented (through immobilization) or permanently (amputees, deafferented patients). Her research methodology incorporates functional brain imaging (fMRI), structural imaging (DWI), MR-spectroscopy of the brain and spinal cord, psychophysical approaches, electromyography, and multisensory stimulations including tendon vibration, visual vection, and tactile vection. Current projects include the ANR ASTRID 'PhantomPain' Project (2021-2025) on phantom pain in amputees, an AMIDEX Excellence Incubator Project (2020-2021) on new therapies for phantom pain, and previous projects like 'DISREMO' (2017-2019) and the ANR JCJC 'MULTISENSE' project (2012-2016). Analysis of Dr. Kavounoudias' recent publications reveals a consistent evolution in her research focus, with increasingly sophisticated neuroimaging approaches to study multisensory integration. Her work demonstrates growing attention to age-related changes in sensory processing and expanding applications to rehabilitation contexts, particularly for amputees and individuals with movement disorders. The publications show a progression from basic research on sensory integration mechanisms to more translational work with clinical applications. Her research has been supported by multiple competitive grants including: ANR ASTRID 'PhantomPain' Project (2021-2025) - Phantom pain in amputees: understanding its central and peripheral origins AMIDEX Excellence Incubator Project (2020-2021) - New therapy for phantom pain after amputation 'DISREMO' Project (2017-2019) - Exploration of audio-haptic interactions in texture perception ANR JCJC 'MULTISENSE' Project (2012-2016) - Multisensory integration and kinesthetic perception As Director of EUR Neuroschool, Dr. Kavounoudias oversees graduate education in neuroscience at Aix-Marseille University, coordinating L3, Master and PhD programs. She previously served as Co-director of the ICN PhD Program and Co-manager of the Brain Master Program, both initiatives aimed at internationalizing neuroscience education at AMU. Dr. Kavounoudias leads the Body & Multisensoriality research team at the NeuroMarseille Institute, where her group investigates the neural mechanisms of body representation and movement control. Her laboratory employs a multidisciplinary approach combining neuroimaging, psychophysics, and electrophysiological techniques to study sensory integration in both healthy and clinical populations, with particular focus on developing rehabilitation approaches for movement disorders.
Alexandra Serinet is a Lecturer at the University of Versailles Saint-Quentin-en-Yvelines, Faculty of Law and Political Science, Department of Private Law. She serves as the Director of the Master II Corporate Criminal Law and Compliance and Head of the Master I Business Law. Her academic work is centered in the Business Law and New Technologies Laboratory (DANTE). Education: Doctorate in Law (1999), University Paris XIII - Thesis: 'the presumption of innocence and presumptions in criminal law', with distinction 'Very honorable with congratulations from the jury' Certificate of aptitude for the legal profession (2000) Research Interests: Dr. Serinet's research spans Criminal Law, Corporate Criminal Law, Cybercrime, Business Law, Compliance, and Defamation Law. Her work examines the application of criminal law in corporate and digital contexts, with a focus on procedural aspects and the protection of rights. She has contributed to the simplification of criminal law and the understanding of criminal liability in business settings. Recent Publications Trends: Between 2015 and 2016, her work addressed pressing issues such as defamation in the judiciary, the simplification of criminal law, provocation as an excuse, and the intersection of criminal law with cybercrime and corporate compliance. These publications reflect a consistent focus on the evolving challenges of criminal law in modern society, particularly in business and technology-driven environments. Scientific Awards: No scientific awards mentioned Advising and Academic Leadership: As Director of the Master II Corporate Criminal Law and Compliance and Head of the Master I Business Law, Dr. Serinet plays a key role in graduate education. She is a member of the university's selection committee for private law and has organized academic conferences, such as the 2008 event on managing criminal risk in companies. Laboratories and Research Teams: Business Law and New Technologies Laboratory (DANTE) - active member Associated with CESDIP, PRINTEMPS, and VIP research laboratories
