جستجوی استاد راهنمای دانشگاهی

Adriana Tapusمشاهده پروفایل

استاد

• Robotics
• Human-Robot Interaction
• Machine Learning
• +۷ مورد دیگر

Adriana Tapus is a Full Professor at ENSTA Paris, affiliated with Institut Polytechnique de Paris, leading the Autonomous Systems and Robotics Laboratory (SAR) within the Computer Science and Systems Engineering Unit (U2IS). She holds an HDR (Habilitation) and a PhD from EPFL, Switzerland, with postdoctoral experience at USC. Her research focuses on socially assistive robotics, human-robot interaction (HRI), and personalized therapy for individuals with physical/cognitive impairments. She directs the IP Paris Doctoral School and coordinates national/international projects like the EU-funded ENRICHME and SWEET. Education: PhD in Mobile Robotics, EPFL (2005) Habilitation (HDR), ENSTA Paris (2011) M.S. Computer Science, University Joseph Fourier Engineer, Politehnica University of Bucharest Research Interests: Tapus pioneers socially assistive robotics, integrating machine learning, human modeling, and multimodal communication (verbal/non-verbal/para-verbal). Her work addresses adaptive therapies for vulnerable populations using robotics, physiological data interpretation, and context-aware interaction. Key themes include: Human-robot cooperation and trust Emotion recognition and expression Personalized rehabilitation systems AI ethics and human-centered design Publications: Over 150 articles, with recent work exploring humor in HRI, teleoperation trust models, and cross-cultural intelligent vehicles. Notable 2025 contributions include studies on robot laughter efficacy and multimodal facial expression frameworks. Awards: 2025: 4 IROS papers accepted 2016: 25 Women in Robotics recognition 2010: Romanian Academy Award Multiple conference best paper awards (RO-MAN, ICRA, etc.) Advising & Grants: Supervised over 20 PhD students and led projects like EU Horizon 2020 ENRICHME. Current students focus on teleoperation dynamics, robot humor, and haptic interfaces. Active in editorial roles (IJSR, THRI) and conference organization (HRI General Chair 2019). Labs/Teams: Founder of RoboticsByDesign lab and co-initiator of the Hi! Paris interdisciplinary AI center. The SAR lab develops systems for healthcare, education, and human-robot collaboration.

• Optimization
• Complex Networks
• Statistical Inference
• +۳ مورد دیگر

Stefano NASINI is an Associate Professor at the University of Lille 3, specializing in Quantitative Methods within the Economics and Mathematics Sciences. He holds a HDR (Habilitation à Diriger des Recherches) from the University of Lille 3 (2021), a Ph.D. in Statistics and Operations Research from the Polytechnic University of Catalonia (2015), and a Master in Statistics (2011). His research focuses on optimization, complex networks, statistical inference, and microeconomic applications. He has held academic positions including a post-doctoral role at IESE Business School (2014–2016) and a visiting researcher role at the University of Lisbon (2014). His work spans scheduling optimization, network analysis, financial contagion modeling, and energy system planning. Key contributions include specialized algorithms for large-scale optimization problems and frameworks for decentralized portfolio management. He is a member of the LEM research group and teaches courses in optimization, econometrics, and social network analysis at the Grande École and MSc levels. Publications highlight interdisciplinary applications, including network-based diffusion models, multi-market financial strategies, and dynamic choice analysis. His research bridges theoretical advancements in operations research with practical challenges in economics, energy, and transportation systems. No scientific awards are explicitly listed in the provided materials. His advising roles and grants are not detailed here, but his extensive publication record reflects active collaboration within academic and applied domains.

Anush Tserunyanمشاهده پروفایل

استاد

• Mathematics
• Ergodic Theory
• Combinatorics
• +۳ مورد دیگر

Anush Tserunyan is a Professor of Mathematics at McGill University, Canada, and a Visiting Professor at the Unit of Pure and Applied Mathematics (UMPA) at École normale supérieure de Lyon from December 1, 2024, to January 31, 2025. She holds a bachelor's and master's in computer science and applied mathematics from Yerevan State University (2005–2007) and a Ph.D. in Mathematics from UCLA (2013), focusing on finite generators for group actions, equivalence relations, and recursive program complexity. Research Interests: Anush Tserunyan specializes in Ergodic Theory , Combinatorics , and Group Actions , with notable contributions to graph theory, hypergraphs, and Ramsey theory. Her work bridges combinatorial structures with analytic methods, particularly in dynamical systems and descriptive set theory. Collaborations: During her visit to UMPA, she collaborates with teams in Geometry, Groups and Dynamics , and Number Theory , alongside researchers like Benjamin Schraen and Sophie Morel. Her stay includes seminars on GGD, Number Theory, and the 'Actions!' working group. Publications: Her research spans topics like ergodic theorems, disjoint matchings in graphs, and algebraic hypergraphs, reflecting a focus on foundational mathematical structures and their applications.

• Supply Chain Management
• Transportation Systems
• Logistics
• +۴ مورد دیگر

Dr. Jérôme Verny is an Associate Professor specializing in transport, logistics, and supply chain management. He is the founder and director of the research institute in innovative transport and logistics, as well as the co-founder of the DISC Master's program (Digital & Innovative Supply Chain) in Paris and the Mobility Accelerator. His expertise spans digitalization in logistics, blockchain applications, and sustainable development. Educated at the University of Lille Nord de France (PhD in Economics and Management) and engineering schools like École Nationale des Ponts et Chaussées, he advises both public institutions (OECD, EU) and private enterprises on transportation strategies. Research Interests: Dr. Verny focuses on supply chain innovation, digital transformation, and strategic logistics. His work integrates blockchain technology for supply chain transparency, optimizes last-mile delivery in urban environments, and analyzes the impact of geopolitical actors like China on global trade networks. He also explores sustainable practices in transportation, including CO2 reduction strategies and pandemic response logistics. Awards: Recipient of the 2009 OECD-FIT Young Researcher Prize in Transport. His contributions bridge academic research with practical applications in industry, policy, and international trade. Key Activities: Co-founded the DISC Master’s program and leads research initiatives on blockchain adoption, Arctic shipping routes, and Mediterranean trade dynamics. He actively contributes to conferences such as the International Association of Maritime Economists (IAME) and publishes in journals like Structural Change and Economic Dynamics and International Journal of Shipping and Transport Logistics . Labs/Teams: Directs the Institut de Recherche en Transport et Logistique Innovante and collaborates with institutions like the OECD and European Commission on transport policy. His interdisciplinary approach involves engineering, economics, and data science to address global supply chain challenges.

Thomas Pikettyمشاهده پروفایل

استاد

• Economic History
• Political Economy
• Income and Wealth Distribution
• +۳ مورد دیگر

Thomas Piketty is a Professor of Economics and Economic History at the École des Hautes Études en Sciences Sociales (EHESS) and the Paris School of Economics. He is co-director of the World Inequality Lab and the World Inequality Database, and a leading scholar on economic inequality and historical political economy. Born on May 7, 1971, in Clichy, France. PhD in Economics from EHESS and LSE (1990–1993). Professor at MIT (1993–1995), Research Fellow at CNRS (1995–2000), and Director of Studies at EHESS since 2000. His research focuses on the interplay between economic development, wealth distribution, and political institutions. Key works include Capital in the 21st Century (2014), Capital and Ideology (2020), and A Brief History of Equality (2022). Piketty has pioneered methods to measure long-term inequality using historical data. Publications span articles in top journals like the Quarterly Journal of Economics, Journal of Political Economy, and American Economic Review. His work emphasizes fiscal policies, wealth taxation, and global inequality trends. He co-founded the World Inequality Database (WID.world) to track income and wealth disparities worldwide. Distinctions include the Yrjö Jahnsson Prize (2013), CNRS Bronze Medal (2001), and Best Young Economist Award (2002). He has advised governments and contributed to policy debates on tax reform, climate justice, and European democratization.

Anne BOUTINمشاهده پروفایل

استاد

• Thermodynamics
• Molecular Simulation
• Porous Materials
• +۶ مورد دیگر

Anne BOUTIN is a Research Director at the French National Center for Scientific Research (CNRS) and Professor at the École Normale Supérieure (ENS) in Paris, France. She leads the Department of Chemistry at ENS, focusing on the thermodynamics of confined fluids and molecular simulations of porous materials like metal-organic frameworks (MIL-53, ZIF-8) and zeolites. Education: Habilitation (1999), PhD in Chemical Physics (1992), Graduate of École Normale Supérieure (1992), MSc (1990) – all from University of Paris XI, Orsay. Positions: CNRS Research Fellow (1994–2009, University of Paris XI; 2009–present, ENS), Visiting Scientist at UC Santa Barbara (1999), Postdoctoral at Imperial College London (1993–1994). Research spans thermodynamic modeling of adsorption-induced structural transitions, polarizable force fields for charged materials, fluid dynamics in nanopores, and stability analysis of flexible frameworks. Google Scholar highlights recent work on electrolyte intrusion (2023) and defect impacts in zeolites (2023). Publications emphasize computational approaches to water confinement , gas separation , and material flexibility . Her 41+ peer-reviewed articles reflect expertise in Monte Carlo , molecular dynamics , and force field development . Awards: Nathalie Demassieux PhD Award (1993) CNRS Bronze Medal (1999) Legion of Honor (2017) Teaching: Statistical thermodynamics. Students: Supervised 17 PhD/postdoc directions.

Alexandre RUBESAMمشاهده پروفایل

دانشیار

• Finance
• Asset Pricing
• Financial Econometrics
• +۵ مورد دیگر

Alexandre RUBESAM is an Associate Professor at IÉSEG School of Management (France), specializing in Finance with a focus on asset pricing, financial econometrics, and quantitative trading. He holds a Ph.D. in Finance from Cass Business School (UK), an MSc in Statistics from the State University of Campinas (Brazil), and a Bachelor in Statistics from the same university. Education: Ph.D., Finance, Cass Business School, UK (2008) MSc., Statistics, State University of Campinas, Brazil (2004) Bachelor, Statistics, State University of Campinas, Brazil (2001) His research interests span behavioral finance, risk management, machine learning applications in finance, and portfolio optimization. Notably, he explores topics like market herding during crises, volatility forecasting, and the low-beta anomaly through behavioral lenses. Prof. Rubesam has authored influential papers on information transmission in financial markets, risk parity strategies, and the efficacy of linear models in volatility prediction. His work bridges theoretical finance with practical applications, such as developing machine learning-based portfolio construction methods for emerging markets. Awards: 2007 Dimitris N. Chorafas Foundation Prize 2006 Best Paper Award, Cass Business School His professional roles include Chief Risk Officer at Itaú-Unibanco (2013–2017) and Quantitative Researcher/Trader at Principia Capital Management (2009–2011). He is a member of LEM (Laboratory of Economics and Management) and teaches courses on financial programming, risk management, and portfolio analysis.

• Signal Processing
• Applied Mathematics
• Radar Systems
• +۳ مورد دیگر

Eric Grivel is a Professor at the University of Bordeaux affiliated with the IMS Bordeaux (Integration Laboratory from Materials to Systems). His research focuses on Signal and Image Processing Spectral Analysis Stochastic Process Modeling His work spans theoretical contributions to signal processing and practical applications in radar systems and biomedical signal analysis. Key trends in his recent publications include Optimization of Detrended Fluctuation Analysis (DFA) for Hurst exponent estimation Development of divergence metrics for comparing ARMA and Gaussian processes Waveform design in MIMO OFDM DFRC (Dual Function Radar-Communication) systems Integration of AI tools like ChatGPT in educational signal processing projects Collaborations and industrial partnerships evident in his publications involve institutions such as Indian Institute of Science Thales Airborne Systems STMicroelectronics CEA Leti Slb (Schlumberger)

Freddy Bouchetمشاهده پروفایل

پژوهشگر

• Statistical Physics
• Climate Dynamics
• Turbulence
• +۵ مورد دیگر

Freddy Bouchet is a Directeur de Recherche at CNRS and a Professeur attaché at École Normale Supérieure de Paris (ENS-PSL). His work bridges mathematical physics, climate science, data science, and statistical mechanics , focusing on turbulent flows, climate extremes, and large deviation theory . He will lead the Laboratoire de Météorologie Dynamique (LMD) starting 2025. Research Themes : Statistical mechanics of geophysical flows (Jupiter's jets, ocean currents). Large deviation theory for rare events in turbulence and climate. Non-equilibrium phase transitions in atmospheric/oceanic systems. Ensemble inequivalence in systems with long-range interactions. Scientific Awards : Three Physicists Prize Collaborations : Tapio Schneider, Antoine Venaille, J. Laurie, O. Zaboronski, B. Dubrulle, A. Venaille. Labs & Teams : Climate and Statistical Mechanics group at ENS de Lyon Future director of Laboratoire de Météorologie Dynamique (LMD/IPSL) Publications span climate dynamics, turbulence, statistical mechanics, and large deviation theory , with applications to Jupiter's atmosphere, ocean vortices, and non-equilibrium systems . His work often challenges paradigms like Tsallis non-extensive statistics.

• statistical machine learning
• optimization
• sparse methods
• +۵ مورد دیگر

Francis Bach is a Professor and researcher at INRIA, leading the SIERRA project-team since 2011, which is part of the Computer Science Department at Ecole Normale Supérieure (ENS) within PSL Research University. His work bridges CNRS, ENS, and INRIA as a joint research effort. Elected to the French Academy of Sciences in 2020, he currently runs the ERC project SEQUOIA following his previous ERC project SIERRA (2009-2014). His research spans statistical machine learning with focus on optimization, sparse methods, kernel-based learning, neural networks, graphical models, and signal processing. Bach completed his Ph.D. in Computer Science at U.C. Berkeley under Professor Michael Jordan, followed by work at Ecole des Mines de Paris and the WILLOW project-team at INRIA/ENS/CNRS (2007-2010). His recent book "Learning Theory from First Principles" was published by MIT Press in December 2024. Bach's publication record shows consistent high-impact contributions across machine learning theory and applications, with recent work focusing on conformal prediction, diffusion models, optimization theory, and learning theory foundations. His research demonstrates strong connections between theoretical guarantees and practical algorithms, with applications spanning generative modeling, robust optimization, and statistical inference. Elected to French Academy of Sciences (2020) ERC project SIERRA (2009-2014) ERC project SEQUOIA (current) Author of "Learning Theory from First Principles" (MIT Press, 2024) Bach actively mentors numerous PhD students and postdocs, with many alumni now holding faculty positions at institutions like EPFL, Ecole Polytechnique, University of Washington, and University of Montreal. His teaching includes advanced courses on learning theory at ENS's Master's programs. He regularly presents tutorials at major conferences including COLT, NeurIPS, and ICML, demonstrating his leadership in the theoretical machine learning community.

Marta Veljkovicمشاهده پروفایل

مدرس

• Social Inequalities
• Social Stratification
• Intragenerational Mobility
• +۷ مورد دیگر

Marta Veljkovic is a Lecturer and permanent academic member affiliated with Sorbonne University, specializing in sociology with a focus on social inequalities, intragenerational mobility, class and wage trajectories, and gender disparities. She earned her Doctorate in Sociology from Sciences Po, Paris, and the National Institute of Demographic Studies (Ined) between 2018 and 2022, following a Master of Research in Sociology from Sciences Po (2016–2018) and a Bachelor of Sociology from the University of Belgrade (2012–2016). Her academic work is deeply rooted in quantitative methods and large-scale empirical analysis of career dynamics in France. Her research interests include: Social inequalities and stratification Intragenerational mobility and career trajectories Class and wage mobility Gender inequalities in professional advancement The subjective experience of social mobility Quantitative methodologies in sociological research The trends in her recent publications reveal a consistent focus on analyzing long-term shifts in career mobility in France, particularly how class barriers persist despite increased fluidity in job transitions. Using data from the Formation-Qualification Professionnelle survey and EGP class schema, she investigates both absolute and relative mobility, demonstrating that while career paths have become more complex, structural class boundaries remain resilient. Her work bridges academic sociology and public discourse through contributions to outlets like Pour l’Éco and the Observatory of Inequalities. She holds active responsibilities in the academic community, including: Co-organizer of the Gemass scientific seminar Member of the editorial board of the Sociological Year Marta Veljkovic teaches a wide range of courses at undergraduate and graduate levels, including Theory and Concepts (L1), Sociological Tradition – Contemporary French Sociology (L2), Statistics and Computer Science (L3), and advanced methods such as Quantitative Methods I, Sociology of Inequalities, and Advanced Methodology at the M1 level. She has presented her research at numerous international conferences, including the ISA RC28 Spring Meeting, ECSR, and LIVES colloquia. Although no specific students or scientific awards are listed, her extensive publication record and institutional engagement underscore her growing influence in the field of sociological inequality research. She is involved in collaborative research with scholars such as Nicolas Duvoux, Richard Nennstiel, and Ettore Recchi, and her work is supported by access to major French social science data infrastructures like ELIPSS and Insee surveys. She does not appear to lead a lab, but her participation in Gemass—a joint research unit between CNRS, Sorbonne University, and Sciences Po—positions her within a vibrant interdisciplinary network focused on social mechanisms, networks, and inequalities.

Christophe VIGNATمشاهده پروفایل

استاد

• Mathematics
• Number Theory
• Probability Theory
• +۴ مورد دیگر

Christophe VIGNAT is a Professor at CentraleSupélec, affiliated with the Laboratoire des Signaux et Systèmes (L2S). His research focuses on number theory, special functions, probability, and their applications in signal processing and control systems. He has held visiting professorships at École Polytechnique Fédérale de Lausanne (EPFL) and Tulane University. VIGNAT's work bridges pure mathematics and applied fields, with notable contributions to Bernoulli/Euler polynomials, multiple zeta values, and probabilistic methods in number theory. His recent publications explore topics like partition functions, theta functions, and Ramanujan-type identities. He has delivered talks at international conferences and collaborates widely with researchers in mathematics and physics. Research Interests: Number theory, special functions (Bessel, orthogonal polynomials), probability theory, signal processing, control systems, analytic combinatorics, and their interconnections. His work often employs symbolic computation and probabilistic approaches to uncover identities and structures in mathematical analysis. Publications Trends: Recent articles emphasize partition theory, zeta functions, and integrals related to classical polynomials. His collaborations highlight interdisciplinary efforts between pure mathematics and applied sciences. Over 150 refereed papers and conference contributions demonstrate his prolific output across diverse mathematical domains. Education: While specific academic history isn’t detailed, his roles and publications suggest advanced training in mathematics and engineering, typical for a full professor in systems and control.

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.

• Machine Learning
• Artificial Intelligence
• Bioinformatics
• +۹ مورد دیگر

Florence d'Alché-Buc is a Professor at Télécom Paris (Institut Polytechnique de Paris), holding an Isaac Newton Institute Simons Chair (2025) and leading the Data Science and Artificial Intelligence for Digitalized Industry & Services (DSAI) Chair. She heads the Image, Data, and Signal Department and is part of the Signal, Statistics, and Learning (S2A) team at the LTCI laboratory. Her research focuses on machine learning, bioinformatics, and industrial applications, emphasizing kernel methods, structured prediction, and reliable AI. Education: Previously a professor at Université d’Evry and deputy director of the IBISC lab. Co-director of the Paris-Saclay Data Science Master and creator of specialized AI programs (e.g., Certificate of Specialized Studies in AI). Research highlights include contributions to operator-valued kernel methods, graph prediction, and frugal AI. She actively collaborates with institutions like Inria, École Polytechnique, and industry partners (Airbus, Engie, etc.). Notable roles: Scientific director of Digicosme Labex, Ellis Fellow, and board member of IVADO (Montreal). Her recent work addresses AI explainability, robustness, and sustainability, including projects on interpretable networks and energy-efficient models.

Yoann Demoliمشاهده پروفایل

مدرس

• Sociology of consumption
• Social stratification
• Environmental sociology
• +۲ مورد دیگر

Yoann Demoli is a Lecturer in Sociology at the University of Versailles Saint-Quentin-en-Yvelines (UVSQ), part of the Université Paris-Saclay. He is affiliated with the PRINTEMPS Laboratory (CNRS-UVSQ) and the Quantitative Sociology Laboratory at CREST. His academic career spans over a decade with teaching and research positions at various prestigious French institutions including Sciences Po Paris and Paris 8 University. His educational background includes: Doctoral thesis in sociology under Philippe Coulangeon at Sciences Po Paris (2010-2015) Master 2 in Sociology and Statistics from School for Advanced Studies in Social Sciences and ENS Paris (2009-2010) Master 1 in Sociology from University of Paris IV (2007-2008) Bachelor's degrees in Sociology and Economics from Universities of Paris IV and I (2006-2007) Preparatory classes at Lycée Carnot and Lycée Henri IV (2003-2006) Demoli's research focuses on the sociology of consumption, social stratification, environmental sociology, and particularly the sociology of the automobile. His work employs quantitative methods to analyze how automobile use and ownership patterns reflect and reinforce social inequalities. He examines how factors like class, gender, and geography influence mobility practices, with particular attention to working-class households in peri-urban and rural areas. His research reveals complex relationships between environmental attitudes and actual car use behaviors, challenging simplistic narratives about ecological conversion. His publications demonstrate a consistent focus on the intersection of social structure and mobility practices, with particular attention to historical trends and class analysis. The collection shows a progression from analyzing specific aspects of automobile culture to broader questions of ecological conversion and social stratification in transportation systems. His scientific work has been recognized with the Young Author Prize at the 22nd GERPISA International Conference in 2014. He regularly contributes to academic discourse through peer review for journals such as Acts of Research in Social Sciences and Transport Security Review. As an advisor, Demoli has supervised numerous undergraduate research projects and master's theses on topics ranging from police uniforms to online dating sociology. His current research projects include CONDUIRE (financed by ADEME), a study on magistrates' mobility funded by the Ministry of Justice, and research on the social drivers of ecological conversion coordinated by Philippe Coulangeon. Within the academic community, Demoli co-organizes the workshop 'Quantitative Sociology and Sociology of Quantification' and co-leads the Mobility theme of the Federation for Research in Computer, Human and Social Sciences at UVSQ. He also serves as Director of the Department of Sociology and Geography at UVSQ and is an active participant in research dissemination through media appearances.