Find Academic Supervisors

• Environmental Chemistry
• Ecotoxicology
• Emerging Contaminants
• +2 more

Yann Aminot is a Researcher at IFREMER's Centre for Chemistry and Ecotoxicology (CCEM), specializing in marine environmental contaminants. His work spans emerging pollutants like PFAS, organophosphate esters, and halogenated compounds, utilizing advanced analytical methods for detection and risk assessment. Research Focus: His studies cover spatial/temporal pollutant distribution in marine ecosystems (e.g., bivalves, dolphins, fish), biomonitoring techniques, and ecological impacts. Key interests include: PFAS dynamics in coastal environments Organophosphate ester contamination Halogenated compound screening Marine ecotoxicology and pollution trends Publications: Recent articles (2021-2025) emphasize contaminant distribution in European and West African marine systems, analytical method development, and ecotoxicological risk assessments. Trends show a strong focus on high-resolution mass spectrometry and non-target screening. Projects & Collaborations: He co-leads national initiatives (VEILLE-POP, SELILOIRE) and contributes to multinational studies on marine contaminants. Collaborations include researchers from Spain, the UK, and West Africa. Lab & Resources: He operates within IFREMER's CCEM lab ( CCEM Website ), which focuses on chemical contamination in marine environments.

Juan CortésView profile

Academic

• Robotics
• Artificial Intelligence
• Bioinformatics
• +1 more

Juan Cortés is a CNRS Research Director at LAAS-CNRS (Toulouse), leading the Robotics and Interactions Team. He holds a PhD in automated systems/robotics from the National Polytechnic Institute of Toulouse (2003). His research spans robotics, artificial intelligence, and computational biology, with focus areas including: Protein conformational dynamics and disordered proteins Robotic motion planning and multi-agent systems Development of computational tools for structural biology (e.g., AFflecto, MoMA-LoopSampler) His publications emphasize algorithm development for molecular flexibility analysis and robotic coordination. Recent work explores Wasserstein distance metrics for protein ensemble comparisons and optimization methods for energy landscapes. Cortés contributes to understanding pathogenic protein structures (e.g., huntingtin) and surface-molecule interactions. He advises on doctoral committees and collaborates internationally but currently lists no direct students or major awards.

Chevaleyre YannView profile

Professor

• Artificial Intelligence
• Multi-Agent Systems
• Computational Social Choice
• +3 more

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.

Alexandre HervéView profile

Professor

• Banking Risk
• Financial Intermediation
• Fintech
• +3 more

Alexandre Hervé is a Professor of Finance at Paris Dauphine University, where he directs the Master 224 Banking and Finance program and created/directs the Fintech Chair. He regularly lectures at Tsinghua University in Beijing, demonstrating his international academic engagement. Professor Hervé holds a PhD in management science and is a graduate in econometrics and management science. His educational background provides a strong foundation for his research and teaching in quantitative finance and banking. His research spans multiple areas of finance with particular focus on banking risk, financial intermediation, and fintech innovation. Over his career, Professor Hervé has examined banking regulation, corporate governance in financial institutions, sovereign debt crises, and the impact of accounting standards on banking practices. His work demonstrates a clear evolution from traditional banking research toward emerging fintech topics, culminating in his recent case study of Ant Finance's innovation journey from a platform economy perspective. Professor Hervé's publication record reveals a methodical progression from foundational finance topics toward contemporary digital finance challenges. His early work focused on market efficiency and privatization, while his mid-career research addressed banking transparency during crises, and his current work explores platform economics and digital transformation in banking. This trajectory mirrors the broader industry shift from traditional banking models to technology-driven financial services. Journal of Corporate Finance Quarterly Review of Economics and Finance Journal of Financial Services Research Review of Financial Economics As director of the Master 224 Banking and Finance program and the Fintech Chair at Paris Dauphine, Professor Hervé oversees substantial academic programs and research initiatives. His leadership in creating the Fintech Chair demonstrates forward-thinking engagement with emerging trends in financial technology and its impact on traditional banking systems.

Pierre-Antoine ThouveninView profile

Assistant Professor

• Signal Processing
• Inverse Problems
• Hyperspectral Image Unmixing
• +5 more

Pierre-Antoine Thouvenin is an Assistant Professor at Centrale Lille, a prestigious engineering school within the University of Lille community in France. He is a member of the SigMA team from the CRIStAL laboratory (Centre de Recherche en Informatique, Signal et Automatique de Lille), where he conducts research on inverse problems with applications to remote sensing and astronomy. His academic journey began with an Engineering degree in Electronics and Signal Processing from INP - ENSEEIHT Toulouse in 2014, followed by a Master of Science in "Signal, Image, Acoustics" from the same institution. He completed his Ph.D. in "Signal, Image, Acoustics" from Institut National Polytechnique de Toulouse between 2014 and 2017, with research focused on modeling spatial and temporal variabilities in hyperspectral image unmixing. Thouvenin's research interests span several interconnected areas in signal processing and computational imaging. His primary focus is on solving inverse problems, particularly in the context of radio-interferometric imaging for astronomy and hyperspectral image unmixing for remote sensing applications. He has made significant contributions to developing advanced algorithms for handling spectral variability in hyperspectral data and for image reconstruction in radio astronomy. His work often combines Bayesian statistical methods with optimization techniques to address challenging high-dimensional problems. A distinctive aspect of his research is the development of distributed and parallel computational methods that enable processing of extremely large datasets that would be intractable with conventional approaches. An analysis of his recent publications reveals a strong trend toward developing distributed and parallel computational methods for large-scale inverse problems. His work increasingly integrates machine learning approaches, particularly neural networks, with traditional signal processing techniques. There's a clear progression from theoretical developments in hyperspectral unmixing to practical applications in astronomy, particularly through his involvement in the ORION-B project where he applies statistical methods to infer physical conditions in star-forming regions. His most recent work demonstrates sophisticated integration of spatial regularization techniques with Bayesian inference for astrophysical parameter estimation. Prix Léopold Escande from Institut National Polytechnique de Toulouse (2017) - awarded to the best PhD theses defended at INPT Prix de l'Institut National Polytechnique de Toulouse (2014) - awarded for outstanding academic achievement during engineering studies Thouvenin is actively involved in mentoring the next generation of researchers. He currently co-supervises the PhD thesis of Pierre Palud on "Statistical methods for model inversion and spatial distribution of physico-chemical properties of the molecular cloud Orion B" as part of the CNRS 80|Prime project OrionStat. His research is supported through various academic collaborations and projects, including the ORION-B project led by Jérôme Pety, which involves molecular line observations from the IRAM-30m Large Program. He has established productive international collaborations, particularly with researchers at Heriot-Watt University in Edinburgh where he worked as a Research Associate from 2017-2019. Thouvenin is a key member of the SigMA team within the CRIStAL laboratory, a joint research unit between Centrale Lille, INRIA, and University of Lille. His work often intersects with the ORION-B project, where he collaborates with astrophysicists to develop statistical methods for inferring properties of Galactic and extra-galactic star forming regions. This interdisciplinary environment fosters innovation at the intersection of signal processing, statistics, and astronomy. He has developed expertise in translating complex statistical methodologies into practical computational tools that address real-world challenges in both remote sensing and astronomical imaging.

• Markov processes
• Ruin theory
• Extreme value theory
• +5 more

Romain Biard is a Senior Lecturer in Mathematics at the University of Franche-Comté, holding dual research affiliations with the Besançon Mathematics Laboratory (UMR 6623, LMB) and the Research Center on Economic Strategies (UR 3190, CRESE). His career bridges theoretical mathematics with practical applications in economics and healthcare systems. His primary research interests span Markov processes, Ruin theory, Extreme value theory, Optimal allocations, and Game theory. These areas converge in his work on modeling complex systems with random elements, particularly focusing on risk assessment and resource allocation problems. His research demonstrates how mathematical frameworks can address real-world challenges in healthcare management and economic competition. Analysis of his recent publications reveals a strong trend toward applied research with immediate societal relevance. His 2023-2024 work on healthcare resource allocation (nursing shortages, ventilator availability) applies sophisticated Markov process modeling to critical hospital management problems. Earlier work on economic competition models demonstrates how random entry of firms affects market equilibrium, with specific applications to the taxi industry facing competition from ride-hailing services. Active researcher with publications spanning 2008-2024 Primary collaborator network includes Marc Deschamps, Mostapha Diss, Alexis Roussel, and Stéphane Loisel Publications appear in high-quality journals across mathematics, statistics, economics, and actuarial science Biard's research approach consistently combines rigorous mathematical theory with practical applications, making significant contributions to both theoretical developments and real-world problem solving. His current work suggests continued focus on applying stochastic modeling to healthcare resource challenges and economic competition dynamics.

Adrien Busnot LaurentView profile

Researcher

• Numerical integration of stochastic differential equations
• Geometric numerical integration
• Algebraic and geometric structures in numerical analysis
• +4 more

Adrien Busnot Laurent is a permanent researcher (Chargé de recherche) at INRIA Rennes in the MINGuS (Multi-scale numerical geometric schemes) team. He previously held a postdoctoral position at the University of Bergen working on the CODYSMA project (Computational Dynamics and Stochastics on Manifolds) with Hans Z. Munthe-Kaas, and completed his Ph.D. in Mathematics at the University of Geneva under Gilles Vilmart's supervision. His research focuses on numerical methods for stochastic differential equations, with particular emphasis on geometric numerical integration, algebraic structures in numerical analysis, and numerical integrators on manifolds. He has made significant contributions to the theory of exotic aromatic B-series, which provide a framework for analyzing high-order integrators for ergodic stochastic differential equations. Adrien's publication record shows consistent high-impact contributions in top journals including Foundations of Computational Mathematics, SIAM Journal on Scientific Computing, and Forum of Mathematics, Sigma. His work bridges theoretical mathematics with practical numerical algorithms, with applications in molecular dynamics and statistical physics. He has been recognized with the SWICCOMAS prize 2022 and the Henri Fehr prize for his Ph.D. thesis. As PI of the ANR JCJC project MaStoC, he leads research on manifolds and stochastic computations, with plans to open postdoc positions from September 2026. Adrien is actively involved in the academic community, co-organizing conferences including GeoStoch 2026 and CANUM 2026, and organizing a research seminar in applied mathematics at ENS Rennes. He also participates in outreach activities and supports diversity in mathematics.

Philippe MaesView profile

Lecturer

• Marine Biology
• Ornithology
• Marine Ecology
• +3 more

Philippe Maes is a Lecturer in Marine Biology at the University of South Brittany, specializing in innovative methods for marine biodiversity monitoring. His research career spans multiple institutions in Brittany, beginning at the University of Western Brittany in Brest where he studied bacterial pathologies in marine invertebrates, before moving to his current position. His research focuses on using cormorant pellets as a natural sampling method to study coastal fish biodiversity. By analyzing the otoliths (ear stones) found in these pellets, Maes can identify fish species, determine their sizes, and track population dynamics throughout the year without expensive boat-based surveys. His work reveals important seasonal patterns in fish populations, such as the three-spined stickleback's winter abundance due to male protective behavior during egg guarding, and the common goby's spring-summer reproductive cycle. This long-term monitoring provides crucial baseline data for understanding coastal ecosystem changes in the context of global environmental shifts. His notable scientific contribution includes receiving research funding from the Marine Protected Areas Agency for his work on cormorant-based biodiversity monitoring. His recent 2024 publication demonstrates how this method provides continuous, cost-effective ecosystem monitoring that would be prohibitively expensive using traditional research vessels. Maes collaborates extensively with the National Nature Reserve of Séné Marshes and the Brittany Living Association, integrating academic research with practical conservation efforts in coastal ecosystems.

Lili ZhengView profile

Professor

• Consumer Behavior
• Online Consumer Decision Making
• Emotions and Technology Adoption
• +7 more

Dr. Lili Zheng is a Professor and Researcher in Marketing at Excelia, La Rochelle, France, specializing in consumer behavior in the digital age, technology adoption, and digital business transformation. Her work bridges academic research and practical applications in digital marketing and e-commerce. Her educational credentials include: Habilitation à diriger des recherches (HDR), Sciences de Gestion, Université Paris Nanterre (2022) PhD in Management Sciences, Marketing, Université de Grenoble (2013) Master of Science in Marketing, Université de Rennes 1 (2010) Professor Zheng's research centers on consumer psychology in digital environments, examining how emotions, cultural factors, and risk perception influence online decision-making, satisfaction, and loyalty. Her methodologies integrate cross-cultural comparative studies with advanced survey techniques, yielding insights applicable to global e-commerce strategies and technology design. Recent work explores AI-driven gamification in cultural institutions and mobile application engagement dynamics. Her publication trajectory (2014-2025) reveals evolving focus from foundational cross-cultural risk perception studies to contemporary investigations of AI in museums and mobile app psychology, consistently emphasizing emotional drivers in digital consumer behavior across diverse contexts including banking, tourism, and recycling. She has received significant recognition including: Eiffel France Excellence Scholarship China Excellence Scholarship Mobility grant from Auvergne-Rhône-Alpes Region Professor Zheng actively supervises doctoral research on blue tourism and mobile payment adoption while coordinating international projects with institutions like UQAM. She serves on scientific committees for conferences including IBIMA and co-organizes the International AI Research Day, demonstrating leadership in knowledge dissemination. Her editorial contributions to journals like Journal of Business Research and conference proceedings further establish her influence in marketing sciences. As a member of AIM, FNEGE, AFM, and AFREN, she actively shapes research discourse through peer review and collaborative initiatives focused on digital transformation in business contexts.

• Sociology
• Tourism Studies
• Holocaust Education
• +5 more

Christophe Jalaudin is a Lecturer at the Champollion National University Institute (INU Champollion) and a permanent member of the Interdisciplinary Laboratory for Solidarity, Societies, Territories (LISST). His academic work spans sociology, education, and tourism studies, with particular focus on Holocaust education, rural studies, urban sociology, and energy consumption patterns. He has maintained a long-standing research partnership with Ygal Fijalkow on multiple projects related to education and tourism in the Albi region of France. Dr. Jalaudin's research interests demonstrate remarkable breadth across sociological subfields. His work on Holocaust education examines how historical memory is transmitted to students and the varying impacts of such education across different student populations. In tourism studies, he has conducted extensive research on visitor behavior in Albi, a UNESCO World Heritage site, particularly analyzing how tourists navigate and experience the 'episcopal city' and interact with local populations. His rural sociology research investigates public service access in rural communities, while his more recent work examines household energy consumption patterns within the framework of the Territorial Climate Air-Energy Plan. His publications reveal consistent methodological approaches emphasizing empirical fieldwork, particularly survey-based research involving large samples of participants. He frequently collaborates with sociology students from License 3 programs, providing them with research experience while gathering data for his projects. His work often addresses practical policy implications, bridging academic research with real-world applications in education, tourism management, and environmental policy. Dr. Jalaudin has supervised numerous student research projects through the Jean-François Champollion University Training and Research Center, particularly focusing on student life conditions, socio-academic characteristics of students, and the evolution of student numbers. His research teams have conducted extensive fieldwork in Albi and surrounding areas, gathering data through questionnaires, interviews, and observational methods.