جست‌وجوی استاد و پژوهشگر

Christophette Blanchet-Scallietمشاهده پروفایل

مدرس

• Applied Probability
• Statistics
• Stochastic Processes
• +۴ مورد دیگر

Christophette Blanchet-Scalliet is a Lecturer in the Department of Mathematics and Computer Science at École Centrale de Lyon, affiliated with the Camille Jordan Institute (UMR CNRS 5208). She obtained her doctorate in 2001 and her Habilitation to Supervise Research in 2016. Currently serving as Director of the Mathematics and Computer Science Department and Head of the Dual Diploma program at Centrale Lyon-ENSAE, she has been active in academia since 2002, with positions at both École Centrale de Lyon (since 2007) and the University of Nice Sophia-Antipolis (2002-2007). Her research spans applied probability , statistics , stochastic processes , stochastic control , Kriging , and robust optimization . She has developed significant expertise in Ornstein-Uhlenbeck processes, backward stochastic differential equations, Hamilton-Jacobi-Bellman equations, and applications in financial mathematics. Her work bridges theoretical probability with practical applications in risk assessment, insurance, and optimization under uncertainty. Analysis of her recent publications reveals a consistent focus on stochastic processes and their applications, with increasing emphasis on computational methods, sensitivity analysis, and optimization techniques. Her research shows strong connections between theoretical probability and practical applications in finance, insurance, and environmental risk assessment, with growing interdisciplinary collaboration across mathematical fields. Dr. Blanchet-Scalliet has supervised five doctoral students since 2015: Mélina Ribaud (2015-2018), Laura Gay (2016-2019), Thierry Gonon (2019-2022), Benoit Nieto (2021-2024), and Noé Fellmann (2021-2024), typically in co-supervision with colleagues from related research groups. She has secured significant research funding through multiple projects including the CIROQUO Consortium (2020-2028), ANR DREAMES (2021-2025), ANR Oquaido Chair (2015-2020), and others. She is actively involved in the CIROQUO research consortium as co-leader, which brings together multiple academic institutions and industry partners including École Centrale de Lyon, Mines Saint-Etienne, University of Toulouse 3, Stellantis France, BRGM, CEA, IFP Energies Nouvelles, and others to advance research in uncertainty quantification and optimization.

• Signal and Image Processing
• Bayesian Statistics
• Markov Chain Monte Carlo (MCMC) Methods
• +۴ مورد دیگر

Jean-François Giovannelli is a Professor at IMS Bordeaux , affiliated with the Université de Bordeaux . His work focuses on Signal and Image Processing within the SPECTRAL team. Collaborations span institutions like CEA , CNRS , and industry partners ( STMicroelectronics , Stellantis ), emphasizing Bayesian methods and MCMC algorithms for diverse applications. Current Affiliation : Professor, IMS Bordeaux, Université de Bordeaux Research Group : Signal and Image Processing Team : SPECTRAL Collaborations : CEA, CNRS, CESTA, Thales, NXP Research Interests include: Bayesian inference for inverse problems MCMC sampling techniques Signal/image reconstruction Mass spectrometry data analysis Adaptive optics in astronomy Medical imaging algorithms Article Trends show a focus on Bayesian modeling across disciplines: biomedical data, astronomical imaging, and microwave mapping. Key methods include MCMC samplers , regularized inversion , and statistical validation . Professional Contributions involve developing tools like NiftyRec for tomography and advancing Adaptive Optics restoration algorithms. His work bridges theoretical statistics and practical applications in healthcare, space, and defense.

• Applied Probability
• Financial Mathematics
• Numerical Analysis
• +۴ مورد دیگر

Jean-François CHASSAGNEUX is a Full Professor in Finance at Université Paris, holding a permanent position at CREST (Center for Research in Economics and Statistics). His academic career focuses on the intersection of probability theory, numerical analysis, and financial mathematics, with particular expertise in backward stochastic differential equations and their applications to financial modeling. His research interests span Applied Probability, Financial Mathematics, Numerical Analysis, Stochastic Analysis, Backward Stochastic Differential Equations (BSDE), Large Population Stochastic Control, Non-linear pricing methods, and Markets with imperfections . His work bridges theoretical mathematics with practical financial applications, particularly in derivative pricing, risk management, and sustainable finance. CHASSAGNEUX has developed novel numerical methods for solving complex financial models, including probabilistic approaches to non-linear partial differential equations and advanced techniques for hedging problems. His publication record demonstrates consistent contributions to top journals in mathematics and finance, with a recent focus on sustainable finance applications including carbon markets and impact investing. His collaborative work with researchers like D. Crisan, G. Pagès, and A. Richou has significantly advanced the field of probabilistic numerical methods for financial engineering. As an educator, CHASSAGNEUX teaches advanced courses in Financial Mathematics (APM_4FI02_AE) and Numerical Methods in Financial Engineering (APM_5FI10_AE), training the next generation of quantitative finance professionals. His teaching combines theoretical foundations with practical computational techniques essential for modern financial engineering.

Cyriaque Genetمشاهده پروفایل

پژوهشگر

• Nano-optics
• Optical forces
• Chiral light-matter interactions
• +۳ مورد دیگر

Cyriaque Genet is a researcher at the Université de Strasbourg with the Institute for Supramolecular Science and Engineering (ISIS) and affiliated with the European Center for Quantum Sciences (CESQ) . His work focuses on nano-optics , optical forces , and chiral light-matter interactions , with expertise in quantum vacuum effects , strong-coupling physical chemistry , and stochastic thermodynamics . His research on light-matter interactions in complex systems spans quantum optics , chiral photonics , and polaritonic chemistry , as evidenced by his publications on superconductivity under strong coupling , chiral metasurfaces , and vacuum field effects in chemical reactivity . His work bridges quantum physics , nanotechnology , and materials science . Genet has collaborated extensively with Thomas Ebbesen and teams across Europe , contributing to photonics , quantum materials , and optical engineering . His recent articles highlight advancements in chiral mirrors , spin-momentum locking , and nonlinear optical systems .

Erwin Freyمشاهده پروفایل

استاد

• Theoretical Physics
• Statistical Physics
• Biophysics
• +۵ مورد دیگر

Erwin Frey is a Professor of Theoretical Physics at the Faculty of Physics, Ludwig Maximilian University of Munich (LMU), where he leads the Frey Group. His research focuses on the physics of living systems, statistical physics, and emergent phenomena in complex systems. He is particularly known for his interdisciplinary approach connecting theoretical physics with biological processes. His research interests encompass statistical physics, biophysics, and nonequilibrium systems, with specific focus on active matter, self-organization in biology, and the fundamental principles underlying complex biological systems. His work bridges theoretical physics with biological applications, exploring how physical principles govern living systems at various scales. Frey's research group investigates diverse phenomena including protein pattern formation, cell division mechanisms, morphogenesis, and synthetic biology. His work demonstrates how fundamental physical principles can explain complex biological processes, with applications ranging from bacterial cell division to immune system organization. His scientific contributions include significant advances in understanding pattern formation in biological systems, particularly the Min protein system in E. coli and thymic architecture development. His group's work shows how robust spatial organization emerges from simple physical principles in living systems. As an educator, Frey teaches advanced topics in theoretical physics, including his lecture series on 'Nonequilibrium Field Theories and Stochastic Dynamics,' which covers Langevin equations, Fokker-Planck formalism, and path integrals with applications to active matter and soft condensed matter physics. He actively collaborates with experimental groups, including Suckjoon Jun's lab at UCSD, and participates in international research networks and conferences, such as the upcoming conference on 'Emerging Trends in Physics of the Cell' at TUM in October 2025.

• Dimensional Metrology
• Quantitative 3D Reconstruction
• Computer Vision
• +۵ مورد دیگر

Alex Lallement is an Associate Professor at the University of Strasbourg , affiliated with the MIV department and the IMAGeS team (IMages, leArning, Geometry and Statistics). His research focuses on dimensional metrology, quantitative 3D reconstruction, computer vision, polarimetric imaging, and associated image processing applications. Key contributions include: Research : Systems knowledge base for computer vision, controlled feature extraction, 3D reconstruction automation, and polarization-based analysis for transparent objects. Supervised Theses : Ammar Hannachi (in progress): Multimodal imaging and interactive planning for 3D reconstruction and dimensional metrology (co-supervised with Ernest Hirsch, Sophie Kohler). Romain Roux (2009): 3D Shape recovery of transparent objects based on polarization state of light analysis (co-supervised with Ernest Hirsch, Jihad Zallat). Redouane Khemmar (2005): Controlled extraction of image features and 3D automation of 3D reconstruction: Application to vision-based dimensional measurement (co-supervised with Ernest Hirsch). Teaching : Object-oriented programming (C++), software tools for signal processing and image, and man-machine interface (Microsoft .NET) at Telecom Physique Strasbourg for 1A and 2A students. Contact: alex.lallement@unistra.fr .

Céline Meillierمشاهده پروفایل

دانشیار

• Signal Processing
• Image Processing
• Statistical Signal Processing
• +۵ مورد دیگر

Céline Meillier is an Associate Professor at the University of Strasbourg, affiliated with ICube research laboratory in Strasbourg, France. She serves as co-president of the GRETSI 2025 conference alongside Vincent Mazet, demonstrating her leadership position within the signal and image processing community. Her research focuses on modeling and analysis of spatially structured signals, with applications in astronomy hyperspectral data, functional MRI, and brain connectivity analysis. Methodologically, she specializes in sparse decomposition problems integrating expert knowledge into regularization constraints and multiple test thresholding procedures for low signal-to-noise event detection. ANR JCJC DynaSTI Project (2023-2026): Modeling Spatial-Temporal Dynamics of Functional Connectivity in resting fMRI DYNAMIC project funded by GdR ISIS (2019-2021) Dr. Meillier teaches multiple courses including Image Processing and Registration, Data Processing, Statistics, and Random Signal Processing for the FIP TI Santé program. Her research has practical applications in functional MRI for Alzheimer's, depression, optogenetics in small animals, and schizophrenia in humans. She has supervised three doctoral students: Argheesh Bhanot (2017-2021), Emma Menant (2023-present), and Massyl Moudoud (2023-present), as well as one post-doctoral fellow Duong Hung Pham (2018-2019).

Laurent Thoravalمشاهده پروفایل

مدرس

• Signal Processing
• Image Processing
• Statistical Modeling
• +۷ مورد دیگر

Laurent Thoraval is a Lecturer at the University of Strasbourg, affiliated with the ICube laboratory's IMAGeS team (Images, Modeling, Learning, Geometry and Statistics). His research focuses on statistical modeling and signal/image processing applied to medical imaging and time sequence analysis. Education : IUT of Haguenau, DUT Electrical Engineering and Industrial Computing, Professional License Electrical Systems and Industrial Networks. His research interests include Signal and Image Processing, Statistical Modeling (3D+t images, Markov models, dynamic Bayesian networks), and Data Fusion techniques, primarily applied to medical imaging (functional brain MRI) and temporal signal analysis in living organisms. Laurent has co-supervised doctoral candidates such as Marion Sourty (analysis of spontaneous brain networks via fMRI), Slim Karkar (parcellization of functional MRI data), Sylvain Faisan (Markov analysis of 3D+t imaging), and Raouf Hamdan (probabilistic appearance models for shape recognition). Projects/Grants : ERC Starting Grant Fbrain (2008–2013), ANR Dahlia, Kidico, Vivabrain, DSIM, Rhodes, Coclico, France Life Imaging, 3D-Surg (BPI France), IHU Radial, INCEPTION (epidemiology causality), and LabEx IRMIA-funded studies. He has expertise in automation, industrial communication networks (Profinet, Profibus, ASi), and remote process control systems.

• Managerial Innovation
• Innovation Networks
• Coopetition
• +۴ مورد دیگر

Marc Robert serves as Associate Professor in the Department of Operations, Information, and Decisions at Montpellier Business School (MBS), where he also directs the Intermediation Services Performance Chair (PDSI). Holding a PhD in Economics since 2004, he actively bridges academic research and business practice through publications, consultancy, and platforms like The Conversation. Education PhD in Economics (2004) Research Focus Professor Robert specializes in managerial innovation , innovation networks , and coopetition (cooperation between competitors). His work examines how organizations facilitate internal innovation and how firms collaborate to build sustainable competitive advantages. Additional interests include strategic management in real estate, data science applications, and Industry 4.0 transformation challenges. Publication Trends His 2022-2025 publications reveal dual emphases: (1) management innovation during crises/digital transformation (e.g., SMEs in COVID-19/Industry 4.0 contexts), and (2) practical statistical tools for managers (logistic/linear regression case studies). This reflects his commitment to translating academic research into actionable business insights. Teaching and Mentorship He teaches in MBS's Grande École and Bachelor's programs using case-based learning to develop student competencies for professional challenges. While specific advising details aren't provided, his PDSI research chair offers student engagement opportunities in intermediation services performance research. Research Infrastructure As founder and director of the Intermediation Services Performance Chair (PDSI), Professor Robert leads a dedicated research initiative focused on sustainable performance in business intermediation services, serving as his primary research ecosystem for industry-academia collaboration.

Frédéric Abergelمشاهده پروفایل

پژوهشگر

• Quantitative Finance
• Econophysics
• Mathematical Finance
• +۳ مورد دیگر

Frédéric Abergel is a researcher affiliated with CentraleSupélec, working in the field of Mathematics and Computer Science for Complexity and Systems. His research focuses on econophysics, mathematical finance, and computational finance, with a particular emphasis on high-frequency financial data, order book modeling, and liquidity risk. He has published extensively on topics such as Hawkes processes, non-quadratic hedging strategies, and agent-based models of financial markets. His recent publications highlight work on limit order books, Navier-Stokes equations in finance, and risk minimization techniques under transaction costs. While no explicit awards or teaching roles are mentioned in the provided texts, his contributions to interdisciplinary modeling, financial engineering, and complex systems suggest a strong engagement in both theoretical and applied research. Frédéric Abergel collaborates closely with researchers in quantitative finance and econophysics, as evidenced by his co-authored works on market microstructure and data-driven modeling of financial systems.

Leonardo Contreras Roaمشاهده پروفایل

دانشیار

• Phonetics and phonology of English learners' interlanguage
• Didactics of oral English
• Acoustic phonetics and corpus linguistics
• +۷ مورد دیگر

Leonardo Contreras Roa is an Associate Professor in English Phonology at the University of Picardy Jules Verne, where he is affiliated with the CORPUS research unit (UR UPJV 4295) and the LIDILE research group (Linguistics, Engineering, Language Teaching). His academic career spans multiple French institutions including University of Rennes 2, University of Lille, Sorbonne Nouvelle Paris 3, and research positions at IRIT and CNRS. Originally trained in translation in Chile, his academic journey evolved toward linguistics, phonetics, and language teaching, reflecting his interest in how ideas move between languages and what is gained or lost in the process. Dr. Contreras Roa's research interests center on the phonetics and phonology of second language acquisition, particularly examining interlanguage prosody of English learners with Spanish or French as their first language. His work spans acoustic phonetics, corpus linguistics, and the didactics of oral English. He investigates how rhythmic priming affects speech production in both typical speakers and those with Parkinson's disease, and explores the role of gesture in pronunciation learning. His research also extends to linguistic typology, reported speech strategies across diverse languages including West African and Turkic languages, and pathological discourse analysis. His publication record demonstrates consistent productivity with multiple articles per year across diverse venues. His work shows a clear trajectory from foundational research on interlanguage prosody toward increasingly sophisticated investigations of rhythmic priming, gesture-speech interface, and clinical applications. The research employs both corpus-based and experimental methodologies, with growing emphasis on multimodal approaches to speech production and perception. Dr. Contreras Roa teaches courses in oral English, phonetics, and English phonology at the undergraduate level, integrating his research expertise into his pedagogy. He has developed interactive scripts and tools for phonology instruction and explores innovative approaches to pronunciation teaching that incorporate rhythmic elements and gesture. His teaching philosophy appears informed by his research on affective factors in language learning, as evidenced by his work on promoting pleasure in language classrooms. His current research involves multiple collaborative projects examining speech production mechanisms, cross-linguistic influences in pronunciation, and applications of rhythmic priming in both typical and pathological speech contexts. He maintains active collaborations across multiple institutions and disciplines, reflecting the interdisciplinary nature of his work at the intersection of linguistics, cognitive science, and language pedagogy.

• Aging
• Memory
• Emotion-Cognition
• +۳ مورد دیگر

Fabienne COLOMBEL serves as Professor of Cognitive Psychology and Director of the Faculty of Psychology at University of Nantes, France. She maintains active research affiliations with the Laboratoire de Psychologie des Pays de la Loire (UR 4638), where she leads investigations into cognitive aging processes. Her research program centers on memory mechanisms across the lifespan, with dual emphases on normal aging and pathological conditions like Alzheimer's disease. Key investigations examine false memory production using DRM paradigms, emotion-cognition interactions, and developmental aspects of ADHD-related cognitive profiles. Recent work explores how education level moderates stereotype threat effects on memory distortion in elders and implements methodological innovations like equivalence testing for misinformation studies. Professor Colombel demonstrates consistent high-impact publication output, with multiple 2023 articles under press and three 2021 publications in Q1 journals including Experimental Aging Research and Frontiers in Psychology. Her work shows increasing methodological sophistication while maintaining focus on core questions about memory distortion mechanisms across different populations. She directs research activities within the Laboratoire de Psychologie des Pays de la Loire, which provides specialized facilities for cognitive testing and experimental memory research. The lab supports investigations spanning healthy aging, neurodegenerative conditions, and developmental psychology, fostering interdisciplinary approaches to cognitive science questions.

• Intelligence Research
• Working Memory
• Cognitive Control
• +۶ مورد دیگر

Corentin Gonthier is a full Professor of Psychology at the University of Nantes, holding a prestigious position as a member of the Institut Universitaire de France (IUF). He conducts research at the Laboratoire de Psychologie des Pays de la Loire (LPPL) where he leads investigations into cognitive variability across development and individual differences. His research program explores three interconnected domains of high-level cognition: intelligence (particularly strategy use in reasoning tasks), working memory (focusing on strategic processes and measurement innovation), and cognitive control (examining developmental shifts from reactive to proactive control). Gonthier has developed significant expertise in psychometrics, creating adaptive cognitive assessments and innovative scoring methods like the edit distance approach for memory span tasks. With 54 peer-reviewed publications (46 in Q1 journals), Gonthier's work demonstrates consistent high-impact contributions across cognitive, developmental, and differential psychology. His recent publications (2023-2025) reveal continued productivity across multiple research streams, with particular emphasis on giftedness research, intelligence testing methodology, and cognitive development. Member of Institut Universitaire de France (IUF) Editorial board member for Journal of Experimental Psychology: Learning, Memory, and Cognition Editorial board member for Psychonomic Bulletin & Review Associate editor for L'Année Psychologique Over 150 peer reviews for more than 50 journals Gonthier actively supervises master's and doctoral students in research areas including cognitive development, intelligence, working memory, and high intellectual potential. His methodological expertise spans advanced statistical modeling (profile analysis, mixed models, GAM), psychometric test development, and innovative cognitive assessment approaches. The Laboratoire de Psychologie des Pays de la Loire provides the institutional context for his research program, which bridges theoretical cognitive psychology with practical applications in educational and clinical settings.

Chevaleyre Yannمشاهده پروفایل

استاد

• Artificial Intelligence
• Multi-Agent Systems
• Computational Social Choice
• +۳ مورد دیگر

Chevaleyre Yann is a Professor of Computer Science at LAMSADE, Paris-Dauphine PSL University, where he has been working since 2017. Previously, he served as Professor of Computer Science at Paris-Nord University from 2009 to 2017 and as Director of the "data science" team at the LIPN laboratory. His academic journey includes a Lecturer position at LAMSADE, Paris-Dauphine University from 2002 to 2009, a Habilitation thesis at Paris-Dauphine University in 2009, and a Doctorate at Pierre and Marie Curie University under the supervision of Jean-Daniel Zucker from 1998 to 2001. Professor Chevaleyre's research spans multiple areas within artificial intelligence and computer science, with particular expertise in multi-agent systems, computational social choice, and machine learning. His work on preference modeling, voting theory, and resource allocation has significantly contributed to the field of computational social choice. More recently, his research has expanded into adversarial machine learning, robust classification, and generative models, reflecting the evolving landscape of AI research. His publication record demonstrates consistent contributions across multiple domains, with recent work focusing on precision-recall optimization in generative models, the role of randomization in adversarial robustness, and novel approaches to graphical bilinear bandits. His research shows a clear trajectory from foundational work in multi-agent systems toward more contemporary challenges in machine learning security and evaluation. Professor Chevaleyre has maintained active collaborations with researchers across France and internationally, evidenced by his extensive co-authorship network. His work bridges theoretical computer science with practical applications in areas ranging from robotics to bioinformatics.

• Quantum Physics
• Ultracold Atoms
• Quantum Simulation
• +۴ مورد دیگر

Thomas Chalopin is a CNRS Research Fellow at the Charles Fabry Laboratory (LCF), part of the Institut d'Optique Graduate School. He works in collaboration with the Gas Network team within the Quantum Gases research group. Prior to his current position, he completed a postdoctoral fellowship in Immanuel Bloch's group at the Max Planck Institute of Quantum Optics (MPQ) in Munich (2020-2023), focusing on microscopy of fermionic quantum gases. He earned his PhD (2016-2020) from Collège de France in Paris under the supervision of Sylvain Nascimbene and Jean Dalibard, where his research centered on quantum-enhanced sensing and synthetic Landau levels with ultracold dysprosium atoms. Dr. Chalopin's research focuses on quantum simulation using ultracold atomic systems, particularly fermionic quantum gases. His work bridges condensed matter physics and quantum information science, with emphasis on: Quantum gas microscopy techniques for high-resolution imaging of quantum systems Exploration of the Fermi-Hubbard model to understand high-temperature superconductivity Investigation of topological phases and magnetic properties in synthetic quantum systems Development of quantum-enhanced sensing using highly magnetic atoms like dysprosium Engineering of optical lattices and superlattices for quantum simulation His recent publications demonstrate a strong focus on understanding quantum magnetism, stripe formation, and pseudogap physics in fermionic systems. The research often involves sophisticated experimental techniques in quantum gas microscopy and shows a progression from fundamental quantum phenomena to potential applications in quantum information processing and precision measurement. Dr. Chalopin has published in top-tier journals including Nature, Physical Review Letters, and PRX Quantum. His work frequently involves international collaborations, particularly with the renowned quantum gas research group led by Immanuel Bloch at MPQ. The research has implications for understanding fundamental quantum many-body phenomena and could contribute to advances in quantum computing and quantum sensing technologies.