جست‌وجوی استاد و پژوهشگر

Alex 'Sandy' Pentlandمشاهده پروفایل

استاد

• Computational Social Science
• Wearable Computing
• Reality Mining
• +۶ مورد دیگر

Alex 'Sandy' Pentland is a Professor of Media Arts and Sciences at the MIT Media Lab, where he helped create and direct both the MIT Media Lab and Media Lab Asia in India. He also serves as a HAI Fellow at Stanford University. Pentland is one of the most-cited computational scientists globally and was named by Forbes as one of the '7 most powerful data scientists in the world.' Pentland's educational background includes undergraduate studies at the University of Michigan and a Ph.D. in artificial intelligence and psychology from MIT. His research spans computational social science, organizational engineering, wearable computing (including Google Glass), image understanding, and modern biometrics. His recent publications reveal a strong focus on the intersection of AI and social systems, with emphasis on human-AI coevolution, data ethics, network science, and the societal implications of digital technologies. His work increasingly addresses critical issues in data privacy, tokenized asset networks, and the social contract in the age of big data, demonstrating his continued leadership in shaping how society understands and manages digital transformation. MIT's Toshiba endowed chair Election to the U.S. Academy of Engineering McKinsey Award from Harvard Business Review 40th Anniversary of the Internet from DARPA Brandeis Award for work in privacy Pentland has advised over 80 PhD students, with nearly half now tenured faculty at leading institutions, a quarter leading industry research groups, and the remainder founding their own companies. His research has attracted significant funding, evidenced by projects like the DARPA Network Challenge where his team won by applying data-driven approaches to crowd coordination. His work on 'reality mining' has led to practical applications in call centers, mental health services, and urban planning. As director of the Human Dynamics group at MIT, Pentland has pioneered sociometric sensors and reality mining techniques. His lab has incubated numerous companies including Ginger.io (mental health services), CogitoCorp.com (AI coaching), Wise Systems (delivery optimization), Sila Money (financial technology), and several others focused on data privacy and AI applications across various sectors.

Hanan Sametمشاهده پروفایل

استاد

• Spatial Data Structures
• Geographic Information Systems (GIS)
• Computer Vision
• +۳ مورد دیگر

Hanan Samet is a Distinguished University Professor in the Computer Science Department at the University of Maryland, College Park. He holds affiliations with the Center for Automation Research and the Institute for Advanced Computer Studies (UMIACS). His academic journey includes a PhD from Stanford University (1975) in Computer Science, following degrees in Engineering (UCLA) and Operations Research/Computer Science (Stanford). Affiliations: University of Maryland, College Park (since 1975) Roles: Professor, Founding Editor-in-Chief of ACM Transactions on Spatial Algorithms and Systems, Founder of ACM SIGSPATIAL Samet's research focuses on spatial data structures, spatial databases, GIS, computer vision, and information retrieval. His seminal work includes the Foundations of Multidimensional and Metric Data Structures , an award-winning book addressing spatial indexing and query optimization. He pioneered frameworks like NewsStand for map-based news exploration and Coronaviz for pandemic visualization. Key contributions span spatial synonyms for approximate search, SAND spatial browser for digital government, and trajectory analysis systems for aviation safety and urban mobility. His work bridges theory and practice, influencing databases, graphics, and geographic systems. Education: B.S. Engineering, UCLA M.S. Operations Research, Stanford M.S./Ph.D. Computer Science, Stanford Samet has advised numerous students and led NSF-funded projects on spatio-textual data, similarity search, and spreadsheet analysis. His honors include the ACM Paris Kanellakis Award (2011), IEEE Wallace McDowell Award (2014), and UCGIS Research Award (2009). His labs and teams focus on spatial algorithms, visualization, and GIS applications. Notable projects include VASCO (spatial index demo), MARCO (image databases), and CHOLERA (disease tracking).

Antonio Vezzaniمشاهده پروفایل

استادیار

• Economics of Innovation
• Innovation and Technology Management
• Intellectual Property Rights
• +۲ مورد دیگر

Antonio Vezzani is an Assistant Professor at Rennes School of Business , specializing in the economics of innovation, technology management, intellectual property rights, and science policy. He holds a PhD in Economics from the University of Rome Tor Vergata (2011) and has academic training from the University of Rome Tor Vergata and La Sapienza. Academic Roles : Assistant Professor in Economics, Roma Tre University (2019–2022); Economic and Policy Analyst, Joint Research Centre of the European Commission (2012–2019); Post-doctoral research, University of Rome Tor Vergata (2011–2012). Research Focus : Economics of innovation, technology diffusion, intellectual property strategies, and regional innovation systems. His recent publications explore digital technologies, eco-innovation, global value chains, and R&D financing. He has participated in international conferences like DRUID and the Schumpeter Society Congress. Vezzani serves on the editorial board of Small Business Economics and contributed to EU policy reports.

Jan KLEINمشاهده پروفایل

دانشیار

• Digital Marketing
• Service Innovation
• Customer Experience
• +۴ مورد دیگر

Jan KLEIN is an Associate Professor of Digital Marketing at IÉSEG School of Management in France. His academic career includes roles as Assistant Professor at Tilburg School of Economics and Management (2017-2023) and adjunct faculty positions at Aalto University and Management Center Innsbruck. He holds a Ph.D. in Marketing from the European Business School (2015), an MBA from KATZ Business School (USA), and a Master's in Automotive Management. His research focuses on Digital Marketing, Service Innovation, and Customer Experience, particularly in omnichannel environments and B2B contexts. Notable contributions include studies on technology-enabled personalization, blockchain applications in sharing economies, and customer journey analysis in digital media. His work bridges academic rigor with practical insights for retail and service industries. Dr. Klein has been recognized with numerous teaching awards, including multiple Excellence in Teaching Awards from Tilburg University (2017-2021) and the Arnd Schikowsky Award (2013). His publications span leading journals like the Journal of Service Research and Industrial Marketing Management. He actively engages in executive education through Aalto University and other institutions. His research emphasizes measurable customer experience frameworks and the strategic use of emerging technologies. Current projects explore the integration of big data analytics in customer journey mapping and the impact of blockchain on trust in peer-to-peer markets.

Dominique Bechmannمشاهده پروفایل

استاد

• Computer Graphics
• Geometric Modeling
• 3-D Interaction in Virtual Reality
• +۳ مورد دیگر

Dominique Bechmann is a **Professor of Computer Science** at the University of Strasbourg, affiliated with the **Department of Computer Science** within the **Sciences Collegium**. He is also a researcher at the **ICube Lab** (UMR 7357 CNRS-University of Strasbourg). His academic career spans over three decades, including roles as Head of the IGG Computer Graphics and Geometry research group (1997–2022) and Head of the National Research Group GdR IG-RV (2014–2021). He holds a Habilitation (1995) and PhD (1989) from the University of Strasbourg, with postdoctoral research at IBM's Thomas Watson Research Center (1989–1990). His research focuses on **Computer Graphics**, **Geometric Modeling**, and **Virtual Reality**, with key contributions in free-form deformation, 3D modeling of anatomical structures, and interaction techniques in immersive environments. He has led projects like the ICT-Asian initiative on Virtual Reality (2004–2007) and organized conferences such as AFRV 2012 and AFIG-EG France 2005. His teaching spans undergraduate and graduate levels in algorithms, computer graphics, and computational geometry. Bechmann has held numerous leadership roles, including Head of the Computer Science Department (1997–2000), Vice-Head of LSIIT Lab (2009–2012), and member of the National Commission of Universities (CNU) section 27 (2007–2011). His work bridges theoretical computer graphics with practical applications in medicine, architecture, and collaborative systems.

Nicolas Coeurdacierمشاهده پروفایل

استاد

• International Macroeconomics
• International Finance
• Macroeconomics and Demographics
• +۵ مورد دیگر

Nicolas Coeurdacier is a Professor of Economics at Sciences Po, Department of Economics, where he has been teaching since 2010. He previously served as an Assistant Professor at the London Business School. His office is located at C 404, and he can be reached at nicolas.coeurdacier@sciencespo.fr. Coeurdacier is also a Research Fellow at the Centre for Economic Policy Research (CEPR) in London. Education: PhD in Economics from Paris School of Economics Research Interests: Nicolas Coeurdacier's research focuses on international macroeconomics and finance, with particular emphasis on international financial integration, capital flows, and the economic consequences of demographic ageing. His work investigates how demographic shifts impact global capital markets, housing markets, and economic growth patterns. He has developed theoretical frameworks to understand portfolio allocation across countries and the implications for risk sharing in the global economy. His research on spatial macroeconomics examines the relationship between structural change, land use, and urban expansion, providing insights into how demographic factors influence city growth and housing costs. Coeurdacier's work on China's one-child policy has shed light on the demographic determinants of household saving behavior, contributing significantly to our understanding of the "saving puzzle" in emerging economies. Publication Trends: Analysis of Professor Coeurdacier's recent publications reveals a strong focus on the intersection of demographics and international finance. His work increasingly examines how aging populations affect capital flows between countries and how demographic policies like China's one-child policy influence household saving decisions. More recently, his research has expanded into spatial economics, investigating the connections between structural economic change, land use patterns, and urban development. His methodological approach combines theoretical modeling with empirical analysis, often using macroeconomic data to test hypotheses about international portfolio allocation and risk sharing. Scientific Awards: ANR "Chaire d'Excellence" grant (2010-13) for project on International Portfolios and Risk-Sharing ERC Starting Grant (2014-18) for project "Within and across countries Heterogeneity in International Finance (INFINHET)" CEPR Research Fellow Editorial and Professional Activities: Nicolas Coeurdacier serves as an Associate Editor at the Journal of International Economics and was previously a member of the Editorial Board of the Review of Economic Studies. His research has been published in top-tier economics journals including the American Economic Review, Journal of Monetary Economics, Journal of International Economics, and Journal of Economic Theory. He regularly participates in academic seminars and workshops focused on international macroeconomics and finance. Research Groups: Professor Coeurdacier is affiliated with the Department of Economics at Sciences Po and collaborates with researchers through the Centre for Economic Policy Research (CEPR) in London. His work often involves collaboration with economists studying international finance, demographic economics, and urban economics.

David Janinمشاهده پروفایل

دانشیار

• Computer Science
• Functional Programming
• Temporal Media Systems
• +۴ مورد دیگر

David Janin is an Associate Professor in Computer Science at Bordeaux INP , specifically within the ENSEIRB-MATMECA school. He leads the PoSET research project, exploring algebraic models for heterogeneous interactive temporal media systems. Research Affiliations : CNRS INS2I , INRIA Bordeaux Sud-Ouest , Idex Bordeaux , LaBRI (CNRS UMR 5800). Research Focus : His work bridges inverse semigroup theory and functional programming to develop algebraic frameworks for synchronizing diverse temporal media (sound, animation, video). This includes T-calculus in Haskell and Octopus for 3D animation. Technical Contributions : Key developments include models for overlapping tiles , birooted tree languages , and causal function semantics in real-time systems. Contact : janin@labri.fr

Mathieu Brédifمشاهده پروفایل

پژوهشگر

• Lidar Processing
• 3D Reconstruction
• Geovisualization
• +۵ مورد دیگر

Mathieu Brédif is a Permanent Researcher at LASTIG, Gustave Eiffel University, affiliated with the National School of Geographic Sciences (ENSG) and IGN. He serves as co-chair of ISPRS Working Group II/3 on Point Cloud Processing (2016-2020) and chaired ISPRS Working Group III/5 on Graphics and Remote Sensing (2012-2016). His academic appointments include Assistant Professor at École Polytechnique teaching Image Analysis and Computer Vision (INF573) and 3D Computer Graphics (INF443) since 2019-2020. Telecom ParisTech PhD (2005-2010) Stanford University Master in Computer Science (2004) École Polytechnique Engineering Degree (2000-2005) Brédif's research focuses on Lidar processing, 3D reconstruction, and geovisualization , with significant contributions to point cloud analysis, urban scene modeling, and historical image integration. His work bridges computer vision, photogrammetry, and geographic information systems, emphasizing practical applications in urban planning and cultural heritage. He has developed novel algorithms for point cloud inpainting, visibility estimation, and distributed 3D reconstruction. His publications reveal consistent focus on urban modeling through point cloud processing (58% of works), image-based rendering techniques (22%), and geovisualization systems (15%). The research trajectory shows increasing emphasis on deep learning applications for LiDAR data since 2016, alongside continued development of geometric algorithms for photogrammetric processing. ANR project leadership in geospatial data valorization (structurAtion et vaLorisation du patrimoinE géoGraphique - 9) iSpace&Time 4D web GIS development (5) European project participation in high-volume point cloud analysis (8) Brédif actively mentors doctoral candidates, currently supervising Melvin Hersent, Alexane Nghien, and Florent Geniet, with 8 completed PhDs including Pierre Biasutti and Murat Yirci. His laboratory work centers on the GEOVIS research team , developing the iTowns open-source framework for 3D geospatial visualization, which powers the Géoportail's 3D data engine and supports multiple ANR projects in cultural heritage visualization.

Romain Raveauxمشاهده پروفایل

دانشیار

• Image Analysis
• Machine Learning
• Structural Pattern Recognition
• +۵ مورد دیگر

Romain Raveaux is an Associate Professor at the LIFAT Computer Science Laboratory, University of Tours, affiliated with Polytech Tours. His research focuses on Image Analysis, Machine Learning, Structural Pattern Recognition, Graph Matching, Graph Neural Networks, Discrete Optimization, Reinforcement Learning, and Transfer Learning . Email: romain.raveaux@gmail.com , romain.raveaux@laposte.net Address: 64 av. Jean Portalis, Tours, France, 37200 Phone: +33 (0)2 47 36 14 27 Research Interests Graph Matching and Neural Networks Discrete Optimization for Pattern Recognition Transfer Learning in Graph-Based Models Historical Document Analysis Scientific Trends His recent work bridges Graph Neural Networks with Mixed-Integer Programming , focusing on Image Semantic Segmentation and Graph Cycle Detection . Earlier studies emphasize Genetic Algorithms for graph classification and Graph Edit Distance optimization in pattern recognition.

Lionel Pichonمشاهده پروفایل

پژوهشگر

• Electromagnetics
• Electromagnetic Compatibility
• Wireless Power Transfer
• +۴ مورد دیگر

Lionel Pichon is a leading researcher at the Laboratory of Electrical and Electronic Engineering of the University of Paris. His primary affiliations include the Department of Electrical and Electronic Engineering of Paris, where he specializes in advanced electromagnetic research. His work focuses on Electromagnetics , Electromagnetic Compatibility (EMC) , and Wireless Power Transfer , with particular emphasis on composite materials, biomedical applications, and automotive systems. Expertise in numerical methods (FDTD, FIT, DGTD) for electromagnetic simulations Pioneer in shielding effectiveness analysis for composite materials Developer of AI-driven approaches for dielectric property characterization Over 70 publications since 2017 highlight his contributions to fields like inductive power transfer systems, medical device EMC, and GPR imaging techniques. Collaborates extensively with institutions globally, including research on antenna design for implantable medical devices and electromagnetic compatibility in healthcare facilities. Current research trends emphasize machine learning integration with traditional electromagnetic analysis to optimize system performance and safety standards.

Anne-Sophie Robilliardمشاهده پروفایل

پژوهشگر ارشد

• Development Economics
• Poverty and Inequality
• Labor Economics
• +۳ مورد دیگر

Anne-Sophie Robilliard serves as a Research Fellow at the French Institute for Research on Development (IRD), specializing in development economics with concentrated focus on Sub-Saharan Africa. Her research utilizes microeconomic household data to analyze poverty determinants, inequality dynamics, and women's labor market participation within demographic and household bargaining contexts. She actively contributes to academic instruction through policy impact assessment courses at Université Paris Dauphine and microsimulation technique seminars at Paris School of Economics (PSE), IEDES-Paris 1, and ENSAE-Dakar. Her research portfolio centers on poverty and inequality measurement, gendered labor economics, and public policy evaluation in developing economies. Methodologically, she integrates microsimulation modeling with household survey analysis to assess policy interventions, particularly examining how demographic shifts and intra-household dynamics influence women's economic participation. This work consistently addresses structural challenges in African development contexts through rigorous quantitative frameworks. Analysis of her 13 journal publications (1999-2023) reveals persistent thematic focus on African economic development with evolving methodological sophistication. Core research trajectories include income inequality measurement (2023), remittance impacts on Senegalese poverty (2019), gendered labor market disparities in West African cities (2011), and migration-labor market linkages (2015). Recent work increasingly incorporates spatial and temporal dimensions of poverty analysis while maintaining emphasis on microsimulation techniques for policy evaluation. Scientific awards: No scientific awards or honors were documented in the provided text. Advising and grants: The source material contains no information regarding graduate student supervision, doctoral committees, or research grant funding. Labs and teams: No institutional laboratories, research centers, or collaborative teams are specified in the available documentation.

Slim Essidمشاهده پروفایل

استاد

• Machine Learning
• Artificial Intelligence
• Signal Processing
• +۵ مورد دیگر

Slim Essid is a Full Professor at Télécom Paris and coordinator of the Audio Data Analysis and Signal Processing (ADASP) group. He holds a PhD and HDR from Université Pierre et Marie Curie (UPMC). His research focuses on machine learning, artificial intelligence, and signal processing applied to temporal data analysis, including multiview learning, representation learning, and structured prediction. Applications span music content analysis (MIR), multimodal perception (e.g., EEG data analysis), and human behavior analysis. He has advised 15 PhD students and collaborated on over 14 post-doctoral projects. Education: PhD in Signal Processing, Université Pierre et Marie Curie (2005) Habilitation (HDR), Université Pierre et Marie Curie (2015) M.Sc. in Digital Communication Systems, Télécom ParisTech (2002) Engineer Degree, École Nationale d’Ingénieurs de Tunis (2001) Research interests emphasize multimodal learning, self-supervised representation learning, and audio-visual fusion. Key projects include sound-prompted segmentation, zero-shot audio captioning, and EEG-based auditory attention decoding. Over 150 peer-reviewed publications exist across conferences like NeurIPS, ICML, and journals like IEEE Transactions. Active in reviewing for top-tier venues and advising French/EU research projects. Labs/Teams: Member of the Signal, Statistics and Learning (S2A) research team and the Information Processing and Communication Laboratory (LTCI).

Audrey Baneyxمشاهده پروفایل

پژوهشگر

• Artificial Intelligence
• Knowledge Modeling
• Digital Methods
• +۷ مورد دیگر

Audrey Baneyx is a researcher at Sciences Po's médialab , specializing in digital methods, knowledge modeling, and pedagogical tool development. With a PhD in Artificial Intelligence from Paris 6 University, her work bridges computational approaches with social science research. Co-leader of the CNRS' Gender and Digital Spaces working group Principal contributor to tools like Hyphe, Khartis, and ANTA v2 Research Focus : Analyzing digital data heterogeneity through ontologies to map knowledge communities Exposing scientific production mechanisms in social sciences via platforms like Scholarscape Designing pedagogical frameworks for digital method training Publication Trends : Recent work emphasizes feminist perspectives in digital methods (2024), web archive utilization (ResPaDon 2022), climate adaptation controversy mapping (MEDEA 2015), and epistemic network analysis from 2016's multipositionality studies. Teaching & Community Building : Leads MetAt methodological workshops and develops practitioner communities around digital tools. Active in interdisciplinary research engineering since 2008.

Emmanuel Lazegaمشاهده پروفایل

استاد

• Sociology of Organizations
• Economic Sociology
• Social Network Analysis
• +۲ مورد دیگر

Emmanuel Lazega is a University Professor at the Center for the Sociology of Organizations (CSO) , affiliated with Sciences Po . His work focuses on neostructural sociology , integrating organizational analysis and social network analysis to study collective action across intra- and inter-organizational levels. He investigates phenomena like relational infrastructures , status dynamics , and public-private institutional shifts . Research Themes: He explores meso-level social processes (solidarities, social control, institutionalization) in markets (legal, financial, academic), professional networks (lawyers, judges, researchers), and transnational institutions like the European Unified Patent Court . His framework addresses multilevel network dynamics and joint regulation through interdisciplinary collaborations in network statistics. Scientific Awards: Georg Simmel Prize (2018) Senior Member, University Institute of France (2003, 2016) Wiarda Award and Chair, Utrecht University (2003–2004) Editorial Roles: Co-editor, Social Networks, Organizations and Markets (with Rafael Wittek and Tom Snijders) Member, editorial board of Social Networks (since 2007) President, European Academy of Sociology (since 2015)

Gilles Ivaldiمشاهده پروفایل

پژوهشگر

• Radical Right Politics
• Populism
• European Politics
• +۴ مورد دیگر

Gilles Ivaldi is a CNRS Junior Professor at the Center for Political Research (CEVIPOF) at Sciences Po Paris, specializing in radical right politics and populism in Europe and the United States. His work focuses on French electoral politics, party systems, and the intersection of populism with globalization and national sovereignty. His research interests center on the comparative analysis of populist phenomena, with particular expertise in the French Front National/Rassemblement National and its European counterparts. Ivaldi examines how globalization processes, cultural backlash, and economic anxieties shape populist mobilization and electoral behavior across Western democracies. His methodology combines quantitative analysis of electoral data with qualitative case studies of party strategies and political discourse. Recent publications reveal a strong focus on the 2022 French presidential election, the impact of the Ukraine war on radical right politics, and transnational patterns of populist support. His work demonstrates consistent thematic progression from French-specific cases toward broader comparative frameworks examining Western Europe and the United States. Ivaldi has led the Sub-national context and radical right support in Europe (SCoRE) research project since 2016, funded by the Open Research Area program. His publications appear in leading journals including Electoral Studies , Political Research Quarterly , and West European Politics , alongside numerous book chapters and edited volumes on populism and European politics. Based at CEVIPOF, Ivaldi contributes to one of Europe's premier political research centers, collaborating with international scholars on cross-national projects examining the structural and contextual determinants of radical right success. His work integrates electoral geography, political sociology, and comparative party politics to explain contemporary transformations in Western political systems.