جستجوی استاد راهنمای دانشگاهی

• 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.

Clément Malletمشاهده پروفایل

پژوهشگر

• Geospatial Computer Vision
• Remote Sensing
• Machine Learning
• +۴ مورد دیگر

Clément Mallet is a Senior Researcher and Director of the LASTIG laboratory at Université Gustave Eiffel, IGN, and École Nationale des Sciences Géographiques (ENSG) in Champs-sur-Marne, France. He leads research in geospatial computer vision, focusing on the intersection of remote sensing, computer vision, and machine learning. His responsibilities include overseeing 75 laboratory members and directing the STRUDEL research team focused on spatio-temporal information modeling. Education: Habilitation (HDR) in Geographical Information Science, Université Paris-Est (2016) PhD in Image and Signal Processing, Télécom ParisTech (2010) Engineering Degree in Geographical Information Science, ENSG (2005) Master's in Remote Sensing, Université Paris 6 (2005) Research Interests: Dr. Mallet specializes in multi-modal land-cover mapping, change detection, geohistorical image analysis, and airborne lidar processing. His work integrates deep learning with geospatial data analysis to solve complex problems in environmental monitoring, urban studies, and historical geography. Current research explores foundation models for earth observation and semantic change detection using hybrid data generation techniques. Publication Trends: Mallet's recent articles (2021-2025) demonstrate strong focus on deep learning applications for geospatial challenges: 40% address land-cover mapping innovations, 30% develop novel change detection methodologies, 20% advance lidar data processing, and 10% explore historical map analysis. His work consistently bridges computer vision theory with operational remote sensing applications. Awards and Recognition: Schwidefsky Medal from ISPRS (2016) 5x Outstanding Reviewer awards (CVPR/ECCV/ICCV 2017-2024) Best Paper Awards at GEOBIA 2016 and ISPRS 2014 Young Researcher Award from GDR ISIS (2010) EuroSDR Best PhD Thesis supervision (2020) Research Leadership: Directs multiple national and international projects including MAESTRIA (ANR-funded multi-modal EO analysis) and HIATUS (historical image analysis). Supervised 14+ PhD students in geospatial AI topics. Secured funding from ANR, CNES, EU H2020 (VOLTA, LandSense), and industrial partners. Leads the STRUDEL team developing cutting-edge methods for territory dynamics analysis. Professional Service: Editor-in-Chief of ISPRS Journal of Photogrammetry and Remote Sensing (2021-present). Organized major conferences including ISPRS Congress (2020-2022 Program Chair) and JURSE events. Active in ISPRS working groups since 2008, currently leading initiatives in large-scale machine learning applications for geospatial data.

Claude DELPHAمشاهده پروفایل

استاد

• Signal Processing
• Fault Diagnosis and Prognosis
• Electrical Engineering Systems
• +۴ مورد دیگر

Claude DELPHA is a Full Professor at Université Paris Saclay, affiliated with CentraleSupélec’s Laboratoire des Signaux et Systèmes (L2S). He holds an IEEE Senior Member status and has been with L2S since 2001. His expertise spans signal processing, fault diagnosis, electrical engineering systems, and machine learning. He leads the Modelling and Estimation team (GME) at L2S and oversees engineering admissions at Polytech Paris Saclay. Education: PhD in Instrumentation & Measurements and Signal Processing from Université de Metz, with a focus on intelligent sensor systems. Graduate degree in Electrical and Signal Processing Engineering. Research Interests: Multidimensional/statistical signal processing, fault diagnosis/prognosis (modeling, detection, estimation), electrical systems (drives, converters, PV), data hiding (watermarking), and pattern recognition (machine/deep learning). Active in energy systems, industry 4.0, and health/biology applications. Professional Roles: Director of GME research team, Polytech admissions lead, member of Polytech’s executive and academic boards, and IUT department council member. Engaged in labs like SYCOMORE and ILOCOS. Publications: Over 200 works since 2015, focusing on fault diagnosis in electrical systems, photovoltaic modules, bearings, and tidal turbines. Key methods include Kullback-Leibler divergence, Jensen-Shannon divergence, Mahalanobis distance, and PCA-based approaches. Awards: Not explicitly listed in provided texts.

• Fluid Mechanics
• Hydrodynamics
• Free Surface Flows
• +۴ مورد دیگر

Nicolas Riviere is a Professor at INSA Lyon in the Department of Mechanical Engineering, working within the Laboratory of Fluid Mechanics and Acoustics (LMFA - UMR 5509). He is part of the "Fluides complexes et transferts" (Complex Fluids and Transfers) group and the Environment team. His teaching activities primarily focus on fluid mechanics at the Mechanical Engineering Department of INSA Lyon, covering: General balances (mass, momentum, energy) Aerodynamics Compressible flows Numerical simulation of flows Free surface hydraulics Prof. Riviere's research centers on free surface hydrodynamics, with applications to natural and industrial risks. His work takes an experimental approach, utilizing the laboratory's channel facilities, particularly the channel intersection installation. His research spans river floods with compound beds, urban flooding, sanitation networks, torrential flows, and flow-obstacle interactions. He has developed a strong interdisciplinary focus, co-leading the "Baignades en Rivières Urbaines" studio with Oldrich Navratil from University Lyon 2 and the EVS Laboratory. His publication record demonstrates consistent contributions to the fields of fluid mechanics and environmental hydraulics, with recent work focusing on open-channel flows, urban flooding phenomena, vegetation-flow interactions, and experimental techniques for studying complex hydraulic phenomena. His research often bridges theoretical fluid mechanics with practical environmental applications. Prof. Riviere has received recognition for his work in environmental fluid mechanics, with numerous publications in high-impact journals in hydraulic engineering and fluid mechanics. He has supervised multiple PhD students and research projects related to environmental fluid mechanics and has collaborated with various institutions on interdisciplinary research projects addressing water-related challenges. The laboratory where he works, LMFA, provides extensive experimental facilities including wind tunnels, hydrodynamic channels, and advanced measurement techniques such as PIV (Particle Image Velocimetry), LDV (Laser Doppler Velocimetry), and other state-of-the-art instrumentation for fluid flow analysis.

Rémi Giraudمشاهده پروفایل

دانشیار

• Image processing
• Deep learning
• Computer vision
• +۳ مورد دیگر

Rémi Giraud is an Associate Professor at ENSEIRB-MATMECA (Bordeaux INP) in the Electronic department, conducting research at the IMS laboratory within the Signal and Image Processing group (MOTIVE team). He is also a member of the In2Brain research group. Dr. Giraud received his M.Sc. in telecommunications from ENSEIRB-MATMECA and a Master's in signal and image processing from the University of Bordeaux in 2014, graduating with honors as top of his class. He completed his Ph.D. in computer science at the University of Bordeaux in 2017, followed by a year as Assistant Professor before becoming Associate Professor in 2018. Current position: Associate Professor at ENSEIRB-MATMECA (Bordeaux INP), Electronic department Research affiliation: IMS laboratory, Signal and Image Processing group, MOTIVE team Additional affiliation: In2Brain research group Education: PhD in Computer Science (2017, University of Bordeaux), M.Sc. in Telecommunications and Signal/Image Processing (2014, ENSEIRB-MATMECA and University of Bordeaux) His research focuses on image processing and analysis, deep learning, and computer vision, with particular expertise in (un)supervised image segmentation, colorization, matching techniques, irregular under-representations (superpixels), spatial relations, and medical imaging (3D MRI applications). His work bridges theoretical computer vision with practical medical applications, developing algorithms that enhance image understanding in both general and specialized contexts. Dr. Giraud has developed several significant methodologies including SCALP (Superpixels with Contour Adherence using Linear Path), TASP (Texture-Aware SuperPixel), DSP (Dual Superpixel Descriptors), and NNSC (Nearest Neighbor-based Superpixel Clustering). His publications demonstrate consistent advancement in superpixel segmentation techniques with increasing focus on medical imaging applications, particularly brain MRI analysis. He currently supervises multiple PhD students including Julien Walther (working on Deep Learning Models from Structural Image Representations), Eloi Navet (An AI Assembly for Neurological Disease Prediction), Edern Le Bot (Holistic Brain MRI Segmentation), and Matthieu Vilain (Semi-supervised Deep Learning for image sequences). His research has resulted in numerous publications in top-tier conferences and journals, with a clear trajectory from theoretical algorithm development to practical implementation in medical contexts.

Mathieu Couttenierمشاهده پروفایل

استاد

• Political Economy
• Economic Development
• Civil Conflicts
• +۲ مورد دیگر

Mathieu Couttenier serves as Professor of Economics at Ecole Normale Superieure de Lyon and Head of the Center for Economic Research on Governance, Inequality and Conflict (CERGIC). He is additionally a Research Fellow at the Centre for Economic Policy Research (CEPR) specializing in International Trade, Regional Economics, and Political Economy. His interdisciplinary research spans political economy, economic development, civil conflicts, natural resources, and media dynamics, with significant contributions to understanding conflict determinants and resource-driven socio-economic impacts. His academic trajectory includes a PhD in Economics from University Paris 1 Sorbonne (2011), followed by positions as Assistant Professor at the University of Geneva and post-doctoral researcher at the University of Lausanne. He has held visiting appointments at Stanford University, Sciences Po Paris, and the University of Bologna, building expertise in spatial conflict analysis and resource economics. PhD in Economics, University Paris 1 Sorbonne (2011) Assistant Professor, University of Geneva Post-doctoral researcher, University of Lausanne Visiting researcher: Stanford University, Sciences Po Paris, University of Bologna Couttenier's research program centers on microeconomic analyses of conflict diffusion, examining how income shocks, climate variability, and natural resource extraction influence violence patterns across space and time. His work integrates economic modeling with geospatial techniques to investigate resource-conflict linkages and local development impacts, particularly in African contexts. His publication record reveals a consistent methodological evolution toward spatial and quantitative approaches, with recent work employing deep learning for geospatial mining detection and network analysis for conflict cost measurement. Key thematic threads connect natural resource governance, media effects on political behavior, and climate-conflict interactions across his American Economic Review, Journal of EEA, and Economic Journal publications. Major scientific recognition includes: ERC Consolidator Grant (2023) for socio-economic impact research on African artisanal mining Ongoing CEPR Research Fellowship status As head of CERGIC and EMR CNRS 5001 Equality and Conflict, Couttenier directs research teams investigating governance structures and inequality drivers. His current ERC-funded project will conduct field studies on artisanal mining communities in Africa, aiming to produce evidence-based policy recommendations for sustainable resource management and conflict prevention through interdisciplinary collaboration.

Vassilis Christophidesمشاهده پروفایل

استاد

• Databases
• Web Information Systems
• Big Data Processing
• +۹ مورد دیگر

Vassilis Christophides is a Professor of Computer Science at the University of Crete and holds an advanced research position at Inria Paris, where he leads work in the MiMove team. His research spans databases, web information systems, big data processing, and IoT analytics, with a strong emphasis on entity resolution, data integration, and scalable data mining. He has supervised numerous research projects funded by the European Union and the Greek State, and has published over 130 articles in top-tier conferences and journals. Research Interests: His primary research areas include Databases, Web Information Systems, Big Data Processing and Analytics, and Information Systems for the Internet of Things. He also focuses on entity resolution, knowledge graphs, streaming data, and explainable AI, particularly in the context of anomaly detection and fairness-aware data systems. His recent work explores hybrid attention models for entity alignment and causal analysis in time series classification. Recent Research Trends: Analysis of his recent publications (2021–2025) reveals a strong focus on entity resolution with fairness constraints, explainable anomaly detection, and adaptive scheduling in IoT edge analytics. He also investigates deepfake detection, crop type mapping using satellite data, and structural bias in knowledge graphs, demonstrating a broad and impactful research portfolio at the intersection of data management and machine learning. Scientific Awards: 2004 SIGMOD Test of Time Award Best Paper Award, ISWC 2003 Best Paper Award, ISWC 2007 Advising and Grants: While specific student names are not listed in the provided texts, Christophides has co-authored numerous papers with researchers such as Vasilis Efthymiou, Ioannis Tsamardinos, and Nikolaos Myrtakis, suggesting active mentorship. He has been the scientific coordinator of multiple EU and national research projects, indicating substantial grant leadership and project management experience. Labs and Teams: He is affiliated with the MiMove team at Inria Paris, a research group focused on mobility and data-intensive systems. His work bridges academic and applied research, leveraging Inria’s infrastructure for large-scale data experimentation and innovation in IoT and edge computing environments.

• Cellular Automata
• Computational Dynamics
• Theoretical Computer Science
• +۴ مورد دیگر

Martin Delacourt is a Lecturer at the University of Orléans, affiliated with the LIFO (Laboratoire d'informatique fondamentale d'Orléans). He earned his PhD on December 5, 2011, under the joint supervision of Bruno Durand and Victor Poupet at LIF Marseille. His research focuses on cellular automata, including directional dynamics, limit sets, and decidability of computational problems. PhD: University of Montpellier 2 (2011) ENS Lyon: Bachelor (2006), Master (2008) His research explores cellular automata through computational complexity, symbolic dynamics, and formal verification. Key themes include limit set characterization, defect dynamics, and algorithmic properties of number systems. He has published in conferences like AUTOMATA, MFCS, and CiE. Teaching responsibilities include courses in network engineering, computability, complexity theory, operating systems, and algorithm analysis at the University of Orléans. He has supervised work-study students in the MIAGE program since 2018.

Amin Mesmoudiمشاهده پروفایل

دانشیار

• Data Engineering
• Machine Learning
• Anomaly Detection
• +۵ مورد دیگر

Amin Mesmoudi serves as Associate Professor in Data Engineering at the University of Poitiers' IUT (Institut Universitaire de Technologie), with dual laboratory affiliations at LIAS-ENSIP (Poitiers campus) and LIAS-ISAE-ENSMA (Chasseneuil campus). His research bridges theoretical database systems with practical large-scale data engineering challenges, particularly in semantic web technologies and machine learning applications. The laboratory maintains physical presences at both ENSIP's Bâtiment B25 in Poitiers and ISAE-ENSMA's Téléport 2 facility in Chasseneuil, facilitating cross-institutional collaboration. Mesmoudi's research program centers on scalable data management systems, with three interconnected pillars: (1) RDF and graph-based query optimization techniques for billion-triple datasets, (2) machine learning integration for spatial query performance and anomaly detection, and (3) explainability frameworks for complex black-box models. His work demonstrates consistent evolution from foundational database systems (2011-2016) toward contemporary AI-driven data engineering, particularly evident in his 2023-2025 publications on temporal dependency preservation and co-selection explainability. The Data Engineering team within LIAS laboratory provides the primary research context for these investigations. Publication analysis reveals strong methodological continuity in addressing scalability bottlenecks across database paradigms. Early work focused on SQL-on-MapReduce benchmarking for astronomy databases (2015-2016), transitioning to specialized RDF processing frameworks (2019-2021), and culminating in current hybrid approaches combining temporal modeling with machine learning (2023-2025). Key technical themes include fragmentation strategies for distributed data, optimizer feedback mechanisms, and graph-based query acceleration - all targeting real-world performance constraints in big data environments. As a core member of LIAS laboratory's Data Engineering team, Mesmoudi contributes to France's national research infrastructure in computer science and automation systems. The laboratory's dual-university structure enables unique cross-pollination between University of Poitiers' academic programs and ISAE-ENSMA's engineering specialization, with Mesmoudi's work exemplifying this synergy through applications spanning astronomy databases to wireless sensor networks.

• Synthetic Organic Chemistry
• Photochemistry
• Bioorganic Chemistry
• +۵ مورد دیگر

David Aitken is a Professor of Organic Chemistry at the Institute of Molecular Chemistry and Materials of Orsay (ICMMO - UMR 8182) , University of Paris-Saclay. His research focuses on synthetic methodology , photochemistry , and the preparation of bioactive molecular scaffolds . He studied Chemistry at the University of Strathclyde (BSc 1983, PhD 1986), followed by a CNRS Researcher position at the University of Paris 5 before becoming a Professor at the University of Clermont-Ferrand 2 in 1998. Since 2006, he has led his research group at Orsay and currently serves as Director of ICMMO . Education : BSc and PhD in Chemistry (University of Strathclyde, Scotland) Research Interests : Synthetic methodology, photochemical transformations, hydrogen bonding in peptides, conformational control, and biologically relevant molecules Methodologies : Photochemistry, organocatalysis, tandem reactions, stereoselective synthesis, and computational modeling Structural Analysis : Hydrogen bonding, helical folding, and non-covalent interactions using spectroscopy and molecular modeling Current Role : Director of ICMMO research institute His recent publications highlight innovations in peptide helical folding , cyclobutane and cyclopropane synthesis , and enantioselective catalytic reactions . His work bridges organic synthesis with biological applications, particularly in protein interaction inhibitors and insulin-sensitizing molecules .

Alain Trouvéمشاهده پروفایل

استاد

• Shape Spaces and Applications
• Imaging Processing and Computational Vision
• Computational Biology
• +۳ مورد دیگر

Alain Trouvé is a Professor at the Center for Mathematics and Their Applications (CMLA) within the Ecole Normale Supérieure de Cachan , France. His research focuses on Shape Spaces , Computational Anatomy , Imaging Processing , and Biological Imaging , with applications in medical and computational fields. He directs the Mathematics Department at ENS Cachan and contributes to neuroanatomical studies through diffeomorphometry techniques. Key roles include membership in the Conseil National des Universités (Section 26) and teaching responsibilities such as courses on Geometry and Shape Spaces and Probability Theory . His work spans from theoretical frameworks (e.g., Hamiltonian modeling of shape evolution) to practical applications like 3D cell imaging and white matter fiber analysis. Publications emphasize interdisciplinary methods, including diffeomorphic registration, varifold-based image analysis, and stochastic shape evolutions. Current projects explore multi-scale modeling of biological systems and AI-driven medical diagnostics. Key Research Themes: Diffeomorphic mappings, computational vision, and functional shape analysis. Teaching: Courses on geometric modeling and probability at undergraduate and graduate levels. Tools Developed: xIV-LDDMM Toolkit for multi-modal biomedical data analysis.

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.

Valentina KRACHMALNICOFFمشاهده پروفایل

پژوهشگر

• Nanophotonics
• Plasmonics
• Near-field Optics
• +۵ مورد دیگر

Valentina KRACHMALNICOFF is a CNRS Research Scientist at Institut Langevin, affiliated with ESPCI Paris and PSL University. She joined the institute in 2012 after completing her postdoctoral fellowship there in 2010. Her research focuses on experimental nanophotonics, particularly studying near-field interactions between fluorescent nano-emitters and nanostructured plasmonic or dielectric materials. Dr. KRACHMALNICOFF obtained her PhD from University Paris-Sud in 2009 with a thesis on quantum atom optics experiments supervised by Alain Aspect and Charles Westbrook. Her research interests span experimental nanophotonics with plasmonic and dielectric media, near-field optical microscopy with fluorescent nanoprobes, quantum optics applications, and the study of electromagnetic local density of states. She has developed expertise in fluorescence intensity and decay rate measurements of nano-objects grafted on scanning probe microscope tips, as well as nano-manipulation techniques. Her work bridges fundamental physics with potential applications in quantum technologies, biosensing, and thermal management at the nanoscale. She frequently employs super-resolution imaging techniques to overcome diffraction limits in optical measurements. Analysis of Dr. KRACHMALNICOFF's recent publications reveals a strong methodological evolution toward increasingly sophisticated combinations of experimental techniques with theoretical modeling. Her work consistently focuses on probing light-matter interactions at the nanoscale, with growing integration of biophysical approaches. The publications demonstrate expertise in thermal radiation at nanoscale distances, plasmonic and dielectric nanostructures, and super-resolution fluorescence lifetime imaging. Her research shows a trajectory from fundamental near-field optics toward applications in quantum information and biosensing. Dr. KRACHMALNICOFF has received notable scientific recognition: 2017: CNRS Bronze Medal for her pioneering work in nanophotonics 2007: L'Oréal France - UNESCO "For Women in Science" Prize Dr. KRACHMALNICOFF actively mentors doctoral students and postdoctoral researchers. Current advisees include Guillaume Blanquer and Dorian Bouchet (PhD candidates) and Vivien Loo (postdoctoral researcher). Former students include Da Cao and Etienne Castanié. Her research is supported by CNRS funding and collaborative grants with other institutions, evident from her extensive co-authorship network spanning theoretical physicists, materials scientists, and optical engineers. Dr. KRACHMALNICOFF leads an experimental research team at Institut Langevin specializing in nanophotonics. Her laboratory features advanced near-field optical microscopy capabilities, fluorescence lifetime imaging systems, and nano-manipulation setups. The team collaborates closely with other researchers at Institut Langevin, including Yannick De Wilde (CNRS Research Director) and Ignacio Izeddin (Associate Professor at ESPCI), forming a cohesive research group focused on light-matter interactions at the nanoscale.

Bénédicte Terrisseمشاهده پروفایل

دانشیار

• Contemporary German-language literature
• East German and post-East German literature
• Franco-German cultural transfers
• +۵ مورد دیگر

Bénédicte Terrisse is an Associate Professor in Germanic Literature at the University of Nantes, Faculty of Foreign Languages and Cultures, Department of Germanic Studies. She specializes in contemporary German-language literature with a particular focus on East German and post-East German literary production, working within the CRINI research center. Her educational background includes: Doctorate in Germanic Studies from Paris IV-Sorbonne University (2008-2012) under Bernard Banoun External Agrégation in German (2007) Master's degree in Germanic Studies from Paris IV-Sorbonne University (2005) Admission to École Normale Supérieure (2003) Preparatory literary classes at Lycée Chateaubriand in Rennes (2000-2003) Professor Terrisse's research focuses on contemporary German-language literature, particularly East German and post-East German literary production. Her work examines cultural transfers between France and Germany, editorial phenomena including collections and anthologies, literary history writing and canon theories, library studies, and the history of German studies as a discipline. She has developed significant expertise in the literary production of the German Democratic Republic, with special attention to poetic collections like the "Poesiealbum" series, the cultural weekly "Sonntag," and authors such as Wolfgang Hilbig, Thomas Brasch, and Sarah Kirsch. Her current Humboldt Fellowship research examines transnational models of literary history writing through the lens of the East German poetry series "Poesiealbum." Her recent publications demonstrate a consistent focus on East German literary production, particularly examining how literary canons were formed in the GDR through editorial practices. She has published extensively on Wolfgang Hilbig, exploring authorship models, literary transfers, and the relationship between literature and political systems. Her work increasingly incorporates digital humanities approaches to analyze literary collections and periodicals from the East German context, as evidenced by her involvement in the PERARTEM research program. Her notable awards and recognitions include: Humboldt Foundation Research Fellowship (2023-2025) Louis Forest/Thiessé de Rosemont Prize from the Chancellery of the Universities of Paris DAAD Research Mission grant CIERA mobility grant for research at the Academy of Arts in Berlin Doctoral grant from École Normale Supérieure, Paris Prime d'Encadrement Doctoral et de Recherche Professor Terrisse has supervised doctoral students and has been actively involved in research projects examining East German literary production. She currently leads research on the "Poesiealbum" collection and co-organizes an international conference on literary canons in the transnational context. She serves as deputy director of CRINI (2019-2023) and has held various administrative responsibilities including head of German aggregation and German literature courses at the University of Nantes. She is an active member of several scholarly societies including the Wolfgang-Hilbig-Gesellschaft, the Association of Germanists in Higher Education (where she served as general secretary 2018-2021), the International Association for German Studies, and the KOF - Koordinationsstelle Ostdeutschland - Frankreich. She serves on the editorial board of the journal Germanica and provides expertise for multiple academic publications.

• Middle East Studies
• Contemporary Islam
• Arab World
• +۳ مورد دیگر

Jean-Pierre Filiu is a Full Professor of Middle East Studies at Sciences Po (Paris) , affiliated with the CERI research center since 2009. A historian and Arabist, he combines academic research with diplomatic experience, having served in Jordan, Syria, Tunisia, and the USA during his 18-year tenure at the French Ministry of Foreign Affairs, including advisory roles to three French ministers. Current affiliation: Sciences Po (Professor of Middle East Studies) Research affiliation: CERI (Centre d'études et de recherches internationales) Visiting professorships: Columbia University (New York), Georgetown University (Washington) Media presence: Weekly columnist at Le Monde since 2015 Research Focus : Filiu's scholarship centers on contemporary Islamic movements, Middle Eastern geopolitics, and Arab world history. His work examines: Radicalization processes and extremist ideologies French-Middle East diplomatic relations Regional conflict dynamics Religious apocalyptic narratives Post-conflict state structures Digital media's role in revolutions Publication Trends : Recent works emphasize the Middle East's evolving political landscape, with special attention to: ISIS emergence and deep state connections French secularism (laïcité) debates Arab historiography approaches Visual storytelling through graphic novels Regional power networks Humanitarian crisis analysis Scientific Recognition : Palestine Book Award (2014) for Gaza, A History International acclaim for Apocalypse in Islam Regular policy commentary in prestigious outlets Professional Activities : Filiu maintains active diplomatic analysis, including his Le Monde blog since 2015, and has conducted specialized teaching programs like the Conflicts and negotiations in the Middle East master's course.