جستجوی استاد راهنمای دانشگاهی

• Algebraic Geometry
• Mathematical Physics
• Mirror Symmetry
• +۷ مورد دیگر

Maxim Kontsevich has been a permanent professor at the Institut des Hautes Études Scientifiques (IHÉS) since 1995, holding the AXA-IHES Chair for Mathematics . He is also Professor at Rutgers University (one month per year since 1997) and was Professor at University of California, Berkeley (1993–1995). Born 25 August 1964 in Khimki, former USSR, he became a French citizen in 1999. Education: Ph.D. in Mathematics, University of Bonn, March 1992. Research Interests: Prof. Kontsevich’s work lies at the intersection of algebraic geometry , mathematical physics , and quantum theory . He introduced revolutionary ideas in mirror symmetry , non-commutative geometry , and deformation quantization , creating new algebraic structures that have found applications far beyond their original contexts. His current ERC Synergy Grant “ReNew Quantum” (2019-2025) explores recursive and exact new quantum theory . Publications & Trends: Across more than 50 influential papers, Kontsevich has consistently pushed the boundaries of enumerative geometry , motivic integration , and topological field theory . His recent work delves into symplectic aspects of homological algebra , motivic Donaldson-Thomas invariants , non-archimedean geometry , and integrable systems , revealing deep connections between geometry, algebra, and physics. Scientific Awards & Honors: Fields Medal (1998) Crafoord Prize (2008) Shaw Prize in Mathematical Sciences (2012) Breakthrough Prize in Fundamental Physics (2012) Breakthrough Prize in Mathematics (2014) ERC Synergy Grant “ReNew Quantum” (2019) AMS Moore Prize (2025) Doctor Honoris Causa: Aarhus University (2014), Universität Wien (2015), Syddansk Universitet (2023) Member of Académie des Sciences, Institut de France, Academia Europaea, National Academy of Sciences (foreign), London Mathematical Society (honorary) Grants & Leadership: As Principal Investigator of the ERC Synergy Grant “ReNew Quantum” (€10 million, 2019-2025), Kontsevich coordinates an international team advancing exact methods and resurgence in quantum field and string theories. Editorial Service & Community Roles: He serves on the editorial boards of Compositio Mathematica , Publications Mathématiques IHÉS , Journal of Noncommutative Geometry , and several other leading journals, shaping the direction of contemporary mathematical research.

• Economics of Growth
• Innovation Economics
• Schumpeterian Growth Theory
• +۶ مورد دیگر

Philippe Aghion is a Professor at the College de France holding the chair in Economics of Institutions, Innovation and Growth, and a Professor at INSEAD. He also serves as a visiting professor at the London School of Economics. His academic work has established him as a leading figure in growth economics, particularly through his development of the Schumpeterian Growth paradigm. Professor Aghion's research focuses on the economics of growth, innovation, productivity, and income mobility. He has pioneered the Schumpeterian Growth theory with Peter Howitt, which examines economic growth through the lens of "creative destruction" - where innovation drives progress by replacing outdated technologies and business models. His work analyzes the design of growth policies, the role of competition and industrial policy, the relationship between innovation and inequality, and solutions to the "secular stagnation" observed in developed economies. A recurring theme in his research is understanding how institutions shape innovation and growth dynamics. The analysis of his recent publications reveals a strong focus on innovation economics, environmental sustainability, and the relationship between technological change and economic outcomes. His work spans theoretical developments in growth models and empirical investigations using firm-level data, particularly from France. Key trends include examining how market competition affects innovation, the dynamics of green technology adoption, the impact of globalization on firm behavior, and the relationship between automation and labor markets. His research consistently connects theoretical frameworks with empirical evidence to inform policy design. Professor Aghion has received numerous prestigious awards for his contributions to economics: 2001: Yrjo Jahnsson Award (best European economist under age 45) 2009: John Von Neumann Award March 2020: BBVA "Frontier of Knowledge Award" (shared with Peter Howitt) Fellow of the Econometric Society Fellow of the American Academy of Arts and Sciences As the holder of the Economics of Institutions, Innovation and Growth chair at the College de France (established in 2015), Professor Aghion leads a research team comprising more than twenty researchers. His chair focuses on cutting-edge research examining the economics of innovation, environmental sustainability, productivity dynamics, and household income mobility. His influential books, including "Endogenous Growth Theory" (1998), "The Economics of Growth" (2009), "Competition and Growth" (2006), and "The Power of Creative Destruction" (2021), have shaped the field of growth economics and provided frameworks for understanding modern economic challenges.

Laurent Tapieمشاهده پروفایل

مدرس ارشد

• Mechanical Engineering
• Biomedical Engineering
• Medical Devices
• +۵ مورد دیگر

Laurent Tapie is a Senior Lecturer at Paris Descartes University with a focus on Biomedical Engineering, Mechanical Engineering, and CAD/CAM . As Deputy Director of the URB2i research unit and manager of the PlatiNum platform , he coordinates the 3d4care.org consortium . His academic background includes a Doctorate in Mechanical Engineering from École Normale Supérieure de Cachan and authorization to direct research (HDR) from Université Paris 13. Research Interests: Mechanical Engineering, Biomedical Engineering, Medical Devices, CAD/CAM, Shaping of Biomaterials Theses Supervised: 3D evaluation of dento-prosthetic joints, impact of CAD/CAM on dental prosthesis integrity, and metrological evaluations of prostheses. Publications: His work spans dental CAD/CAM systems, surface integrity of prostheses, additive manufacturing, and 3D printing applications during the COVID-19 pandemic . Recent articles focus on data dispersion in CAD/CAM chains, tool-material influence on roughness, and numerical workflow standardization . Scientific Award: Prix du comité scientifique de la session recherche (2019). Projects: Currently leads initiatives like ProGéoMéca (Labex LaSIPS), Bio-Dents (CNRS Biomimicry), and additive process development for multi-material dental aligners .

Véronique Perdereauمشاهده پروفایل

استاد

• Robotics
• Dexterous Manipulation
• Tactile Feedback Systems
• +۴ مورد دیگر

Véronique Perdereau is a Full Professor at Sorbonne Université's Institute of Intelligent Systems and Robotics (ISIR) , specializing in robotics and dexterous manipulation. She leads the ASIMOV research team and serves as a principal investigator for multiple European projects, including SOFTMANBOT, INDEX, and CORSMAL, focusing on tactile feedback, multimodal control, and human-robot interaction. Role: Full Professor (2024) Email: veronique.perdereau@sorbonne-universite.fr Office: H13, Campus Pierre et Marie Curie, Paris Research Focus Perdereau's work centers on tactile-driven robotic control systems, human-inspired manipulation strategies, and multimodal fusion for industrial automation. Her research bridges theoretical modeling (e.g., Cosserat mechanics, dual quaternions) with practical applications in manufacturing sectors. Key Themes: Tactile Feedback Systems Dexterous In-Hand Manipulation Human Motion Data Integration Autonomous Grasp Stability Flexible Object Handling Reproducibility in Robotic Experiments Notable Projects She has spearheaded projects like: SOFTMANBOT (2019–2023): Advanced robotic technology for handling soft materials in manufacturing. INDEX (2019–2022): Developing motor action dictionaries for robotic hands. CORSMAL (2019–2022): Multimodal fusion for collaborative object recognition. Scientific Leadership Perdereau has led work packages in 10+ international collaborations with institutions across Europe, including Decathlon, IIT, and Queen Mary University. Her research emphasizes safety, ethics, and industry 4.0 applications.

Thomas Grenierمشاهده پروفایل

دانشیار

• Medical Image Segmentation
• Clustering
• Filtering
• +۳ مورد دیگر

Thomas Grenier is an Associate Professor in the Department of Electrical Engineering at INSA Lyon and a member of the CREATIS laboratory (CNRS UMR 5220, INSERM U1294). He obtained his HDR (Habilitation à Diriger des Recherches) in 2023 and his Ph.D. in Image Processing from INSA Lyon in 2005. His research focuses on medical image segmentation, clustering, and filtering using feature space, scale-space, and deep learning approaches. Doctoral School: EEA (Electronics, Energy, and Automatics) Research Affiliation: CREATIS Lab (CNRS/INSERM/INSA Lyon/Université Lyon 1/Université Jean Monnet Saint-Etienne) He has contributed to 20 papers and co-supervised 5 PhD students, including Léo Dumortier and Florent Guépin. Grenier leads the annual Deep Learning for Medical Imaging (DLMI) school, which he co-founded, and has organized five editions across Lyon and Montreal since 2019. The school emphasizes practical deep learning applications in medical imaging for participants of all expertise levels. His work spans interdisciplinary domains such as medical imaging , deep learning , and image processing , with recent publications on generative AI for MRI synthesis, explainable networks, and segmentation of neurological pathologies in preclinical models. He manages pedagogical platforms, coordinates LabEx PRIMES project activities, and oversees lab room infrastructure for 200 hours/year across 10 training programs. Grenier also leads the MUSIC transversal project on Multiple Sclerosis since 2019.

Claire Zalcمشاهده پروفایل

پژوهشگر

• 20th Century History
• Holocaust Studies
• Migration History
• +۴ مورد دیگر

Claire Zalc is a CNRS Research Director and Director of Studies at École des hautes études en sciences sociales (EHESS), with affiliations to the Institute of Modern and Contemporary History (IHMC), the Centre de Recherches Historiques (CRH), and the GLOBAL department at the Institut Convergence des Migrations. Her work bridges migration history, Holocaust studies, and quantitative methodologies. Her research focuses on the intersection of migration and persecution in the 20th century, particularly through prosopographical studies like Face à la persecution (2010) and Dénaturalisés (2016), which examine administrative interactions under the Vichy regime. She also explores the use of quantitative methods in historical research, co-authoring Quantitative Methods. An Introduction (2019). Recent projects, such as the ERC Consolidator LUBARTWORLD (2019–2025), analyze transnational mobilities and persecution through case studies in Lubartów and other locations. Key themes in her publications include Vichy-era denaturalization , Polish Jewish migrations , and microhistories of the Holocaust . Her work often integrates spatial analysis and relational data frameworks, as seen in contributions to sequence analysis and social network studies. Scientific Distinctions : Bronze Medal of the CNRS (2013) Prix Malesherbes d’histoire de la Justice (2017) Finalist, Eugen Weber Book Prize (2022) Prix André Conquet for Melting Shops (2010) She co-edits the journal Revue d’histoire de la Shoah and previously co-directed the Histoire-Repères collection at La Découverte (2008–2021). Her methodological expertise has shaped training programs at EHESS and collaborative research initiatives like PERSI (Internet Social Networks Study Program) and relational data analysis.

Grégoire Allaireمشاهده پروفایل

استاد

• Scientific Computing
• Multi-scale Modeling
• Partial Differential Equations
• +۷ مورد دیگر

Grégoire Allaire is a Professor of Applied Mathematics at École Polytechnique, where he leads research in shape optimization , homogenization , and multi-scale modeling . His work bridges theoretical and applied domains, focusing on partial differential equations (PDEs), composite materials, and computational methods.

Bruno Palierمشاهده پروفایل

پژوهشگر

• Comparative Politics
• Public Policy
• Social Protection Systems
• +۷ مورد دیگر

Bruno Palier is a CNRS Research Director at Sciences Po, affiliated with the Centre d'études européennes et de politique comparée (CEE) and a key member of the Laboratoire interdisciplinaire d’évaluation des politiques publiques (LIEPP). He is a leading scholar in comparative politics and public policy, focusing on the reform of social protection and pension systems in France and Europe. University: Sciences Po School: Centre d'études européennes et de politique comparée Academic Rank: Researcher (CNRS) His research interests lie at the intersection of political science, sociology, and public policy. He is a foremost expert on the political economy of welfare state reform, social investment strategies, and the dynamics of pension reforms. His work examines how political institutions, economic pressures, and social actors shape the evolution of social policies across advanced democracies. Palier's recent projects center on the contemporary crisis of work in France. He coordinated the 2023 collective work What Do We Know About Work? , which brought together 60 social scientists to document the realities of working conditions, management practices, digitalization, and inequalities. This project has sparked a major public and academic debate, leading to a follow-up initiative, Working Better , which aims to translate research findings into concrete policy proposals for improving the quality of work. Major Works: What do we know about work? (2023) Working Better (2025, forthcoming) The World Politics of Social Investment (2022, 2 vols.) Refonder le système de protection sociale (2014) Réformer les retraites (2021) Throughout his career, Palier has led major research initiatives, including serving as the director of LIEPP (2014-2020) and coordinating the European Network of Excellence RECWOWE. He has also held visiting professorships at Harvard, Tokyo, and Stockholm universities, demonstrating his international academic standing. His work is highly influential in both academic circles and public policy debates, particularly in France. He has a strong record of scientific mediation, actively engaging with the media and policymakers to bridge the gap between academic research and public discourse. His current work on the future of work and social investment represents a significant contribution to understanding and addressing some of the most pressing social challenges of our time.

• Business Model Innovation
• Strategic Management
• Change Management
• +۳ مورد دیگر

Dr. Oussama AMMAR is a Full Professor of Strategy and serves as Dean of Programs at Montpellier Business School since November 2020. He leads the development and internationalization of academic programs, overseeing operations including student mobility, career services, and quality initiatives. Previously, he held roles as Dean of the US Campus of SKEMA Business School in Raleigh, North Carolina, and Associate Dean of Undergraduate Programs at SKEMA’s Lille campus. His academic leadership spans faculty management, curriculum design, accreditation compliance, and strategic planning. His research focuses on business model innovation, strategic management in SMEs, and change management. Notable contributions include studies on Alibaba’s strategic capabilities, gender leadership in IT sectors, and participative innovation in organizations like SNCF. He has also explored synergies between economic intelligence and knowledge management to enhance organizational absorption capacity. Dr. AMMAR’s career includes over 20 years of teaching strategic management across diverse audiences. His academic leadership roles at both Montpellier Business School and SKEMA reflect his expertise in global academic governance and program development. He holds a global perspective shaped by roles in France, the US, China, and Brazil.

Chao Liuمشاهده پروفایل

پژوهشگر

• Surgical Robotics
• Teleoperation
• Haptics
• +۲ مورد دیگر

Chao Liu is a Research Scientist at CNRS (French National Center for Scientific Research) since 2008, affiliated with the DEXTER team and the Department of Robotics, LIRMM at University of Montpellier, France. He earned his Ph.D. in Electrical & Electronic Engineering from Nanyang Technological University, Singapore (2006). Current research focuses on surgical robotics , haptics , teleoperation , and nonlinear control theory with applications in computer vision. His work addresses challenges in robotic-assisted telesurgery, including: Stable and transparent human-robot interaction through wave variable compensators and passivity filters Physiological motion compensation using spatio-temporal LSTM and dual Kalman filters EMG-based motion recognition for surgical skill assessment 3D soft-tissue reconstruction with stereo-endoscopes and deep learning Dr. Liu leads European and French projects like: TS2RT (CNRS-funded): Safer teleoperation with motion compensation ROBACUS (ANR-funded): Needle positioning with MPC control HaTUMoCo (CNRS-funded): Haptic teleoperation with uncertainty handling ARAKNES (EU-funded): Microrobotic systems for endoluminal surgery Scientific honors include Senior Member of IEEE and Member of Sigma Xi . He supervises Ph.D. and Master's students working on topics such as concentric tube robot optimization, haptic teleoperation, and EMG-based force estimation. Dr. Liu serves on IEEE Technical Committees for Telerobotics and Haptics , and as Technical Editor of IEEE/ASME Transactions on Mechatronics.

Stéphane Doncieuxمشاهده پروفایل

استاد

• Cognitive Robotics
• Developmental Robotics
• Evolutionary Robotics
• +۱۶ مورد دیگر

Stéphane Doncieux is a University Professor in Computer Science at Sorbonne University, where he is affiliated with the Institute of Intelligent Systems and Robotics (ISIR), a joint research laboratory with CNRS. Since January 2024, he has served as Director of ISIR, following a term as Deputy Director from 2019 to 2023. He leads the ASIMOV research team and is based at the Pierre and Marie Curie Campus in Paris. His primary research interests lie in cognitive and developmental robotics, with a strong focus on open-ended learning, evolutionary algorithms, and adaptive systems. He investigates how robots can autonomously learn diverse skills through mechanisms such as novelty search, quality-diversity optimization, and intrinsic motivation. His work bridges theoretical foundations in artificial life and practical applications in robotic manipulation, perception, and control. The recent publications highlight a consistent trend in advancing robotic learning under sparse rewards and in open-ended environments. Key themes include quality-diversity optimization for grasping, state representation learning, sim-to-real transfer, and the development of behavioral repertoires. These works are published in high-impact journals such as IEEE Transactions on Robotics, Evolutionary Computation, and Frontiers in Robotics and AI. Coordinator, DREAM FET H2020 project (2015–2018) Principal Investigator, ANR projects on Creative Adaptation by Evolution, Learning Movement Skills, and Grasping with Multimodal Feedback Involved in European initiatives including VeriDREAM and HumanE-AI-Net He has supervised numerous PhD and Master’s students, including Leni Le Goff, Giuseppe Paolo, Alban Laflaquière, and Achkan Salehi, often in collaboration with leading researchers like Olivier Sigaud and Jean-Baptiste Mouret. He teaches computer science and robotics at both undergraduate and graduate levels at Sorbonne University. Doncieux has been instrumental in shaping research directions in evolutionary and developmental robotics, notably through his leadership in the IEEE Task Force on Evo-Devo-Robotics and his editorial contributions. His lab, ASIMOV, fosters interdisciplinary research integrating computer science, neuroscience, and engineering to create more autonomous and intelligent robotic systems.

Federica Meluzziمشاهده پروفایل

پژوهشگر ارشد

• Labor Economics
• Public Economics
• Gender Economics

Federica Meluzzi is a PhD candidate in Economics at CREST (Institut Polytechnique de Paris) and a Research Fellow at the French Ministry of Labor (DARES). She will join LMU Munich as an Assistant Professor in Economics in June 2026 following a postdoctoral fellowship at Bocconi University. Her research focuses on labor economics, gender economics, and public economics, particularly how peers, firms, and public policies shape gender norms and labor market inequality. Her job market paper, The College Melting Pot: Peers, Culture and Women’s Job Search , leverages cross-cohort peer variation in Italian college programs to analyze cultural assimilation’s impact on women’s labor supply. Key findings include peer exposure to egalitarian gender cultures increasing full-time job uptake and reducing early-career gender gaps by 21-40% through shifts in job-search preferences and beliefs. Affiliation with CREST (Institut Polytechnique de Paris) and DARES Future Assistant Professor at LMU Munich PhD research spans labor market inequality, pay transparency, and education policy Collaborations with institutions including LSE and UC Berkeley during PhD visits

Olivier Sigaudمشاهده پروفایل

استاد

• Reinforcement Learning
• Robotics
• Decision Modeling
• +۳ مورد دیگر

Olivier Sigaud is a Full Professor at Sorbonne University, affiliated with the ISIR (Intelligent Systems and Robotics Institute) and the Machine Learning and Intelligent Autonomous Systems (MLIA) team. He holds an engineering degree from ISEN and dual PhDs in Computer Science (University of Paris XI, 1996) and Philosophy (University of Paris I, 2004). Previously employed at Dassault Aviation (1995–2001), he transitioned to academia as a Lecturer and later a Professor at LIP6 and ISIR. His research focuses on reinforcement learning, robotics, computational neuroscience of decision-making in animals, and human-robot interaction. Key contributions include advances in goal-conditioned reinforcement learning, intrinsically motivated agents, and human-in-the-loop systems. He has co-authored over 100 publications in top-tier conferences (NeurIPS, ICML) and journals, with recent work exploring large language model grounding, open-ended learning frameworks, and motor skill acquisition through interactive curricula. Notable projects include the CURIOUS framework for modular multi-goal RL and the DREAM architecture for open-ended robotic learning. His work bridges theoretical AI with practical robotics applications, emphasizing interdisciplinary collaboration between computer science and neuroscience.

Pierre Alliezمشاهده پروفایل

پژوهشگر

• Geometry Processing
• Computer Graphics
• Computational Geometry
• +۵ مورد دیگر

Pierre Alliez is a Senior Researcher and Team Leader at Inria Sophia Antipolis – Méditerranée, leading the TITANE project-team. He holds roles such as President of the Inria Evaluation Commission and Scientific Coordinator of the Inria-DFKI partnership. His research focuses on Geometry Processing, including mesh compression, surface reconstruction, and optimal transportation. Alliez has authored numerous scientific publications and book chapters, receiving accolades like the Eurographics Young Researcher Award (2005) and ERC grants (IRON, TITANIUM). His academic activities include supervising over 50 PhD students and postdoctoral researchers, and leading projects like GRAPES (Learning and Processing Shapes) and BIM2TWIN (digital twin construction). He has served on editorial boards for Computer Graphics Forum and ACM Transactions on Graphics , and organized major conferences like Pacific Graphics and Eurographics. His work bridges computational geometry, computer graphics, and applied mathematics, with practical applications in 3D printing, cultural heritage, and urban modeling. Education: No specific educational details provided, but has authored a textbook on Polygon Mesh Processing (AK Peters, 2010). Research Interests: Geometry Processing, Mesh Generation, Surface Reconstruction, Optimal Transport, and 3D Data Analysis. Grants & Projects: ANR Pisco, ERC IRON, BIM2TWIN, GRAPES, and collaborations with industries like Dassault Systèmes and Dorea Technology. Labs/Teams: Leads the TITANE team at Inria, contributing to software like CGAL and advancing open-source tools for geometric processing.

Claire Dambrinمشاهده پروفایل

استاد

• Management Control
• Accounting
• Performance Measurement
• +۳ مورد دیگر

Claire Dambrin is a Professor of Management Control at ESCP Business School, specializing in qualitative and critical research rooted in the social studies of accounting and control. She investigates performance measurement tools, including accounting systems and incentive frameworks, with a focus on gendered aspects and feminist perspectives. Her work explores how these tools can both empower and constrain individuals. She earned her PhD from Paris Dauphine University in 2005 and previously served as a professor of accounting at HEC Paris (2004–2012). Her research contributions span leading journals in accounting and management. She holds editorial roles at Accounting, Organizations and Society , Management Accounting Research , and Critical Perspectives on Accounting , and co-edits Comptabilité Contrôle Audit / Accounting Auditing Control . Her research interests include performance measurement systems, organizational sociology, and gender studies in business contexts. She critically examines how metrics shape organizational behavior and societal structures, particularly in the pharmaceutical industry and professional service sectors. Her recent work interrogates sustainability, ethical dimensions of control, and technological mediation in management practices. Key projects address topics such as ERP system lifecycle dynamics, CRM software adoption barriers, and the sociopolitical implications of quantification. Her contributions bridge theoretical frameworks (e.g., Latour’s actor-network theory) with empirical insights to challenge conventional managerial practices.