Find Academic Supervisors

Yuki M. AsanoView profile

Professor

• Artificial Intelligence
• Machine Learning
• Computer Vision
• +6 more

Yuki M. Asano is a full Professor at the University of Technology Nuremberg , leading the Fundamental AI (FunAI) Lab . Previously, he led the QUVA Lab at the University of Amsterdam and earned his PhD at the Visual Geometry Group (VGG) of the University of Oxford under Andrea Vedaldi and Christian Rupprecht. University of Technology Nuremberg (2024–present) University of Amsterdam (prior to 2024) University of Oxford (PhD, 2020) His research spans Artificial Intelligence , Machine Learning , and Computer Vision , with a focus on Causal Representation Learning , Self-Supervised Learning , and Efficient Model Adaptation . He pioneered techniques like BISCUIT (causal variable identification) and VeRA (parameter-efficient fine-tuning). His work extends to Medical Imaging and Environmental Monitoring through applications in fetal ultrasound analysis and marine debris detection. Recent publications (2023–2025) highlight advancements in Self-Supervised Learning , Vision-Language Models , and 3D Understanding . Notable papers include TWIST & SCOUT (multimodal LLM grounding), SIGMA (masked video modeling), and GeneralAD (anomaly detection). His ICCV 2023 work on Self-Ordering Point Clouds and MoSiC (optimal-transport motion trajectories) underscores his interdisciplinary approach. He received the JUPITER compute grant (2025) and an Outstanding Paper Award at ICLR 2024 . His collaborations span institutions like MIT-IBM Watson AI Lab, Qualcomm AI Research, and University of Amsterdam.

• History of Ancient Religions
• Roman Provincial Coinage
• Hellenistic and Roman Egypt
• +3 more

Laurent Bricault is a Professor of Roman History at the University of Toulouse Jean Jaurès, affiliated with the ERASMUS research team (Reception of Antiquity: Sources, Memory, Issues) under the Heritage, Literature, History (PLH) unit. His academic career spans institutions like the University of Poitiers (Master's 1986), Sorbonne (Doctorate 1994, HDR 2006), and Toulouse (since 2008). He specializes in the history of ancient religions, particularly Egyptian cults in the Roman world, provincial coinage, and Lagid/Roman Egypt. University of Poitiers - Master's in Ancient History (1986) Sorbonne - Doctorate in Egyptology (1994) Sorbonne - Habilitation to Direct Research (2006) Bricault's research explores the diffusion of Isiac cults, religious syncretism, and numismatic evidence for ancient beliefs. His recent publications focus on Mithraic studies, Egyptian deities in the Mediterranean, and domestic religious practices. He organizes international conferences and edits the Bibliotheca Isiaca series, contributing to the understanding of polytheistic traditions. Bricault co-edits the Supplements to the Bibliotheca Isiaca and collaborates on the Roman Provincial Coinage project. He curated the international exhibition Rome and the Mystery of Mithra (2021-2023) and maintains the RICIS online database for Isiac cult inscriptions. His work bridges epigraphy, numismatics, and cultural history to analyze religious networks across the Roman Empire.

Laurent DUPONTView profile

Researcher

• Innovation Engineering
• Sustainable Cities
• Collaborative Innovation
• +4 more

Laurent DUPONT is a Research Engineer and Co-coordinator of the IUVTT Master’s program at ENSGSI (École Nationale Supérieure de Géologie et de Sciences Industrielles), part of the Groupe INP in Nancy, France. He also serves as Scientific Manager of the Lorraine Fab Living Lab. His work focuses on user-driven innovation, smart and sustainable territories, collaborative engineering, and immersive environments. He holds a PhD in Industrial Systems Engineering from INPL (2009), a DEA (2004), and a degree in Industrial Systems Engineering (2003) from ENSGSI. Research interests include innovation lab strategies, open innovation spaces, territorial resilience, and digital twin applications in manufacturing. He leads projects like INEDIT, exploring co-design frameworks and circular economy solutions. His articles highlight trends in collaborative innovation networks, systemic impact mapping, and the integration of extended reality in industrial contexts. Key contributions include frameworks for evaluating territorial resilience and tools for monitoring innovation lab networks. He has been involved in initiatives such as the DHDA Project for resilience assessment and the Smagrinet project on smart grid training. His work bridges academia and practice through participatory methods and cross-sector collaborations. Current projects emphasize Industry 5.0, open manufacturing, and community-driven innovation.

• National and European Identities
• Social Identity Change
• Political Perceptions in Identity Formation
• +5 more

Ronja Sczepanski is an Assistant Professor at the Centre for European Studies and Comparative Politics (CEE) at Sciences Po. Her research explores the intersection of national and European identities, focusing on how political perceptions, social sorting, and behavioral processes drive identity change. Specializes in identity formation through political events like referenda Analyzes neighborhood effects and ethnic diversity on identity dynamics Investigates political party framing of social groups Her recent work examines how differentiated integration impacts EU policy compliance and validates open-source machine translation for text analysis. She teaches courses on European integration at institutions including ETH Zurich and the University of Cologne. Recipient of the PolMeth Europe Best Poster Award (2023) Published in journals like Comparative Political Studies and European Union Politics

Thomas WalterView profile

Professor

• Biomedical Image Analysis
• Machine Learning
• Computational Pathology
• +4 more

Thomas Walter is a Professor at Mines ParisTech and Director of the Centre for Computational Biology (CBIO) , a research group affiliated with the Institut Curie and INSERM . His work focuses on applying Machine Learning and Computer Vision to biomedical image analysis, particularly in high-content screening and computational pathology . He also serves as Deputy Director of the Computational Oncology (U1331) unit and leads the Statistical Learning and Modeling of Biological Systems team. PhD in Medical Image Analysis (2003, Mines ParisTech) Postdoctoral work at EMBL (European Molecular Biology Laboratory) Director of CBIO since 2018 Holder of a PRAIRIE Chair (Paris Artificial Intelligence Research Institute) since 2019 Dr. Walter's research bridges biomedical imaging , machine learning , and cancer genomics . Key areas include: Statistical reconstruction of biological networks Prediction of tumor progression at genomic/transcriptomic levels Development of deep learning methods for cell cycle analysis Integration of multi-omics data for precision oncology Tools for spatial transcriptomics (e.g., autoFISH, RNA2seg) Recent publications highlight his work in spatial transcriptomics , immunotherapy outcome prediction , and deep learning for digital pathology . His team has developed open-source tools like FISH-quant and pyHiM for single-molecule RNA imaging analysis. Scientific Honors: PRAIRIE Chair (2019) for AI research in life sciences Dr. Walter actively contributes to teaching deep learning for image analysis in multiple graduate programs across France, including courses at Mines ParisTech , Université Paris-Saclay , and Institut Curie . His software tools (FISH-quant, pyHiM) and methodological frameworks (e.g., Cut-Detector, PointFISH) have become standard resources in bioimage informatics.

Jacques GautierView profile

Assistant Professor

• Meteorological data visualization
• Epidemiological data visualization
• 2D/3D Geovisualization
• +2 more

Jacques Gautier is an Assistant Professor in Geovisualization at LASTIG, part of the French National Geographic Institute (IGN France) since September 2020. He is a member of the GEOVIS research team focusing on advanced geovisualization techniques for spatio-temporal data analysis. Prior to his current position, he served as a Postdoctoral Researcher at LASTIG working on the Urclim European project, developing geovisualization methods for climate data in urban environments. His educational background includes a PhD in Geography from Université Grenoble Alpes (2015-2018), where his dissertation focused on "GrAPHiST: An exploratory analysis approach for identifying the dynamics of spatio-temporal phenomena," and an Engineering degree in Geographical Information Science from ENSG (2009-2012). Dr. Gautier's research focuses on innovative approaches to visualize complex spatio-temporal data across multiple domains. His expertise spans meteorological data visualization, epidemiological data visualization, 2D/3D geovisualization techniques, and exploratory data analysis of spatio-temporal phenomena. He has developed specialized methods for identifying cyclic patterns in time-series data, visualizing uncertainty in ensemble forecasting systems, and creating interactive visualization environments for domain experts in urban planning, public health, and emergency response. Analysis of Dr. Gautier's publication record reveals a consistent focus on developing visualization techniques that bridge theoretical advances with practical applications. His work spans urban climate analysis, pandemic response (particularly during COVID-19), and mountain rescue operations. A distinctive aspect of his research is the integration of harmonic analysis with visual exploration to identify cyclic patterns in spatio-temporal data, as demonstrated in his GrAPHiST framework. Dr. Gautier has been actively involved in several significant research projects including ORACLES (focusing on ensemble forecasts of marine submersion), Urclim (aiming to develop integrated Urban Climate Services), and Choucas (an interdisciplinary project to assist mountain rescue operations). These projects highlight his ability to translate visualization research into practical decision-support tools for critical situations. As a member of the GEOVIS research team, Dr. Gautier contributes to advancing geovisualization methodologies through both theoretical development and practical implementation. His work on mixed temporal diagrams, helical time representations, and uncertainty visualization has provided new approaches for exploring complex spatio-temporal datasets across multiple disciplines.

• Statistics
• Learning Theory
• High-dimensional statistics
• +4 more

Jaouad Mourtada is an Assistant Professor in the Department of Statistics at ENSAE/CREST, École Nationale de la Statistique et de l'Administration Économique since September 2020. Previously, he was a postdoctoral researcher at the Laboratory for Computational and Statistical Learning at the University of Genoa (2019-2020). He completed his PhD in Statistics at École Polytechnique under the supervision of Stéphane Gaïffas and Erwan Scornet. His educational background includes a Master's degree in Mathematics with specialization in Probability and Random Models (2016), a Master's degree in Fundamental Mathematics (2015), and a Bachelor's degree in Mathematics from Pierre and Marie Curie University and École Normale Supérieure (2013). Dr. Mourtada's research focuses on the intersection of statistics and learning theory, with particular interest in high-dimensional statistics, online learning, and density estimation. His work explores the complexity of prediction and estimation problems through rigorous theoretical analysis. His research spans statistical learning theory, robust statistics, and the theoretical foundations of machine learning algorithms. His publication record since 2017 demonstrates consistent contributions to top-tier venues in statistics and machine learning, with recent work focusing on universal coding, aggregation methods, robust regression, and the theoretical analysis of kernel methods and random forests. His research shows a progression from online learning and expert aggregation to more complex statistical learning problems involving high-dimensional data and model misspecification. He teaches courses including Statistical Learning Theory for Master 2 Data Science students and Probability Theory at ENSAE. His teaching spans theoretical foundations of machine learning and core probability concepts for advanced statistics students.

• Financial Economics
• Tax Policy
• Corporate Finance
• +3 more

Laurent BACH is an Associate Professor of Finance at ESSEC Business School , France, and concurrently serves as Policy Evaluation Program Director at the Institute of Public Policies since 2019. He holds a PhD in Economics from the Paris School of Economics (2009) and an MSc in Management from HEC Paris (2004). His academic career includes roles as Assistant Professor at the Stockholm School of Economics (2010–2017) and ESSEC (2017–present). His research focuses on financial economics, tax policy, corporate governance, and public policy evaluation , with notable contributions to topics such as dividend taxation, household wealth dynamics, gender disparities in real estate returns, and pandemic-related policy impacts. He has also examined the efficacy of small business financial aid programs and the effects of tax reforms on corporate behavior. Key publications include a 2023 American Economic Review comment on dividend taxes, a 2021 study on electoral risks during the pandemic in Journal of Health Economics , and a 2020 American Economic Review analysis of wealth inequality. His work frequently intersects with policy evaluation, such as assessing France’s super-profits tax (2024) and carbon targeting policies. Distinctions: MISTRA Global Grant (2016), Vinnova Grant (2014), Thiers Foundation Fellowship (2009). Reviewer: For journals including American Economic Journal , Journal of Finance , and Review of Financial Studies . Media Engagement: Commented on fiscal policies in La Tribune (2024–2025), highlighting tax reform inefficiencies and public spending transparency. His interdisciplinary approach bridges empirical finance, public policy, and gender economics, with ongoing projects addressing wealth taxation, climate policy evaluation, and corporate governance.

Sylvain LombardyView profile

Professor

• Automata Theory
• Formal Languages
• Theoretical Computer Science
• +3 more

Sylvain Lombardy is a Professor at the University of Bordeaux, affiliated with the Laboratoire Bordelais de Recherche en Informatique (LaBRI) and the Enseirb-Matmeca engineering school within the Institut Polytechnique de Bordeaux. His research focuses on automata theory, formal languages, and theoretical computer science, particularly in weighted automata, formal methods, and algebraic properties of automata. He leads the Formal Methods research team at LaBRI and contributes to projects like the Awali and Vaucanson software platforms for automata manipulation. Education: PhD in Computer Science (2001, ENST Paris), Habilitation à Diriger des Recherches (2005, University of Paris Diderot). His work bridges theoretical foundations with practical tools, emphasizing algorithmic and algebraic aspects of automata. Notable contributions include studies on automata minimization, determinization, and the interplay between rational expressions and automata constructions. Research Interests: Automata Theory, Formal Power Series, Weighted Automata, Tropical Semirings, Algebraic Automata Theory, and Computational Models for Discrete Systems. His recent work explores two-way automata, Hadamard series, and applications in formal verification. Publications highlight contributions to the structure and properties of automata, with a focus on formal methods and algorithmic decidability. Key works address unambiguity, determinism, and the minimization of weighted automata across various semirings. Collaborations include projects on automata-based kernels for machine learning and XML formats for automata descriptions. He has developed influential software tools such as Awali (finite-state machine platform) and Vaucanson (automata manipulation framework), demonstrating practical applications of theoretical research. His work is supported by grants exploring automata in computational linguistics and discrete mathematics.

Clément De ChaisemartinView profile

Professor

• Econometrics
• Economics of Education
• Policy Evaluation
• +3 more

Clément De Chaisemartin is a Professor of Economics at Sciences Po since 2021, affiliated with the National Bureau of Economic Research (NBER) and J-PAL. His work focuses on econometric methods for policy evaluation and the economics of education. He holds a PhD from EHESS and Paris School of Economics (PSE), and previously taught at the University of Warwick and University of California, Santa Barbara (UCSB). Key research includes the evaluation of educational interventions, such as boarding schools for disadvantaged students, and methodological contributions to difference-in-differences (DID) estimators. Notable awards include the AFSE-Malinvaud Prize (2019) for his work on fuzzy DID. He co-authored influential papers in American Economic Review , Econometrica , and Review of Economic Studies , and developed Stata/R packages like did_multiplegt and twowayfeweights . Current projects include a textbook on DID methods and collaborations on multi-site randomized trials. Education: PhD in Economics (2013), École des Hautes Études en Sciences Sociales (EHESS) and Paris School of Economics (PSE). Research Interests: Causal inference, policy evaluation, educational disparities, and econometric methods. Grants & Projects: Research funded by French health/education authorities, including evaluations of early childhood programs like Parler Bambin. Teams: Maintains a research team and GitHub page for open-source econometric tools. His op-eds advocate for broader use of impact evaluation in public policy, critiquing private-sector dominance in applying such tools.

• Cross-sector partnerships
• Coopetition
• Organizational theory
• +4 more

Lea Stadtler serves as Associate Professor of Strategy at Grenoble Ecole de Management, specializing in cross-sector collaborations and coopetition within the Department of Management and Technology. Her research examines organizational tensions through paradox and organizational theories, with focus on partnerships addressing societal grand challenges. Her research centers on cross-sector partnerships, coopetition, and organizational paradoxes, investigating dynamics in global health, sustainable development, and humanitarian contexts. Key themes include partnership sustainability, dark side effects, colonial legacies in business-NGO relationships, and place-based collaboration strategies. She employs critical perspectives to analyze power structures and unintended consequences in partnership ecosystems. Analysis of her 2022-2025 publications reveals escalating focus on partnership complexity in high-reliability contexts like global health, with growing attention to South-South cooperation, political embeddedness of innovation networks, and systemic approaches to Sustainable Development Goals implementation. Dr. Stadtler has received four international awards for her scholarly contributions and case studies. She currently serves as Associate Editor for Business and Society , contributing to academic discourse on cross-sector collaboration ethics and effectiveness. No information was provided regarding student advising, research grants, laboratory affiliations, or team leadership roles in the source materials.

Mathias PayerView profile

Associate Professor

• Software Security
• System Security
• Fuzzing
• +5 more

Mathias Payer is an associate professor at EPFL's School of Computer and Communication Sciences (IC), leading the HexHive research group since 2018. He focuses on strengthening software and system security through fuzzing, vulnerability mitigation, and compiler-based approaches. His work includes open-source prototypes and contributions to embedded systems, IoT security, and trusted execution environments. Education: PhD in Computer Science (Dr. sc. ETH) from ETH Zurich (2012), postdoctoral researcher at UC Berkeley (2012–2014), and assistant professor at Purdue University (2014–2018). Tenured at EPFL since 2021. Research Interests: Fuzzing frameworks, memory safety, vulnerability analysis, compiler optimizations for security, and firmware security. Projects include Enclosure , HexType , and DP3T (decentralized contact tracing). Awards: Multiple best/distinguished paper awards at top venues (e.g., Usenix Security, NDSS, RAID). Co-founded the EPFL polygl0ts and Purdue b01lers CTF teams to foster cybersecurity innovation. Labs/Teams: HexHive group, CTF initiatives, and collaborations with industry (e.g., Intel SGX, Android security).

Luisa ArangoView profile

Associate Professor

• Social and Cultural Anthropology
• Urban Anthropology
• Political Ecology
• +14 more

Luisa Arango is an Associate Professor at the Institute of Ethnology, Faculty of Social Sciences, University of Strasbourg, where she also serves as Director of Studies for the Bachelor's program in Anthropology and Ethnology in Distance Learning (EàD). She is based at the MISHA building and is affiliated with the SAGE Laboratory (UMR 7363). Her academic work spans research, teaching, and interdisciplinary collaboration, with a strong focus on urban anthropology and environmental issues. Her research centers on urban environments, water and land resource management, identity dynamics in cities, and the anthropology of techniques, with fieldwork conducted in the Nile Valley (Sudan) and the Colombian Caribbean. She explores themes such as urbanization processes, spatiality and power, local perceptions of climate change, and alternative ethnographic methods. Her work often engages with political ecology, interdisciplinary environmental research, and the social dimensions of nature and resources. Luisa Arango’s recent publications (2013–2024) reflect a consistent focus on hydrosocial systems, urban water governance, land appropriation, and knowledge production in Africa and Latin America. Her articles appear in journals such as Canadian Journal of African Studies , Espaces et Sociétés , Autrepart , and Sources . She has also contributed to interdisciplinary dialogues on climate change, artistic ethnography, and field drawing as research tools. Knowledge about nature in Africa Urban water management in Khartoum and Cartagena Land rights and ethnic identity in Colombia Interdisciplinary approaches to climate and urban planning Ethnographic and artistic methodologies Luisa Arango is actively involved in research networks such as WATERLAT-GOBACIT and GAIA (University of Antioquia, Colombia). She has supervised academic projects and contributed to methodological innovations in ethnographic research. She teaches courses on ethnographic methods, urban anthropology, and research forums for distance-learning students. Her work emphasizes the political dimensions of resource access, the transformative power of collective action, and the importance of integrating social and material realities in understanding urban and environmental change. She has no listed scientific awards in the provided text, but her sustained publication record and leadership roles indicate significant scholarly impact. She is also engaged in public-facing research, including graphic works and documentaries on anthropological practice.

David SerfassView profile

Lecturer

• History of East Asia
• History of Modern China
• History of Republican China
• +5 more

David Serfass is a Lecturer at the National Institute of Oriental Languages and Civilizations (INALCO) specializing in Chinese studies. He serves as Co-manager of international mobility, Tutoring Manager, and Referent to the Cross-functional Commission at the institution. His teaching portfolio includes courses on the History of East Asia (19th-20th centuries), Communication and Media in East Asia, Introduction to Ancient Chinese History, Sinological Culture and Practice, Republican China through Texts and Media, and History of Taiwan. Dr. Serfass's research focuses on the History of the Japanese Occupation of China (1931-1945), the History of the Modern Chinese State, Sino-Japanese Relations, and the History of the Sino-Japanese War. His work examines state-building processes during wartime, particularly through the lens of the Wang Jingwei regime and collaboration governments in occupied China. He approaches these topics through spatial history, bureaucratic documentation, and memory studies, revealing how territorial control, administrative practices, and historical narratives shaped wartime China. His scholarly contributions demonstrate a consistent focus on the complexities of political authority during periods of fragmentation and occupation. Rather than viewing the Wang Jingwei regime as merely a Japanese puppet government, Serfass's research reveals the regime's internal dynamics, state-building efforts, and complex negotiations of sovereignty. His work challenges teleological narratives of central state formation in Republican China, highlighting instead the fragmented and contested nature of political authority during this period. Member of editorial board, Études chinoises (2014-2024) Member of editorial board, Terrains de Taiwan Member, ERC project Elites, Networks and Power in Modern China Member, French Taiwan Studies Project Member, Occupation Studies Research Network Dr. Serfass is an active contributor to academic discourse through conference presentations, editorial work, and collaborative research projects. His approach combines traditional historical research with spatial analysis and attention to bureaucratic practices, drawing on Chinese, Japanese, and Western archival sources to provide multi-perspective understanding of wartime China. His work has established him as a significant voice in the field of modern Chinese history, particularly regarding the complex dynamics of occupation, collaboration, and state formation during the Sino-Japanese War period.

Slim EssidView profile

Professor

• Machine Learning
• Artificial Intelligence
• Signal Processing
• +7 more

Slim Essid is a Full Professor at Télécom Paris, leading the Audio Data Analysis and Signal Processing (ADASP) group. He holds a Doctorat (Ph.D.) and Habilitation from Université Pierre et Marie Curie (UPMC). With 15+ years of research experience, he has advised 15 PhD graduates and currently co-advises 10 others. His work focuses on machine learning, signal processing, and multimodal systems, publishing over 150 peer-reviewed papers. He serves as a reviewer for top journals/conferences (e.g., IEEE Transactions) and research funding agencies. Education: State Engineering Degree, École Nationale d’Ingénieurs de Tunis (2001) M.Sc. (D.E.A.) in Digital Communication Systems, École Nationale Supérieure des Télécommunications, Paris (2002) Ph.D., Université Pierre et Marie Curie (2005) Habilitation (HDR), UPMC (2015) Research Interests: Multimodal learning, self-supervised representations, audio-visual segmentation, music structure analysis, domain generalization, and speech enhancement. Recent publications highlight innovations like TACO (training-free sound-prompted segmentation) and CLOUDS (domain-generalized semantic segmentation framework using foundation models). His work bridges audio processing with vision and language models, emphasizing unsupervised/zero-shot approaches. Key achievements include state-of-the-art methods in sound event detection, speaker diarization, and music segmentation. He collaborates with 14 post-docs and leads projects funded by French/EU agencies.