جست‌وجوی استاد و پژوهشگر

Anne-Laure Briatteمشاهده پروفایل

مدرس

• History of Women and Gender
• History of Feminisms in Germany and Europe
• European Integration and Gender Inequalities
• +۵ مورد دیگر

Anne-Laure Briatte is a Lecturer in German history and civilization at Sorbonne University's Faculty of Germanic and Nordic Studies, where she has been employed since 2012. She is a statutory member of the UMR SIRICE research unit, specializing in gender history with a focus on German-speaking contexts. In 2023, she obtained her Habilitation to Direct Research (HDR) from Paris Cité University with a thesis examining wartime sexual violence during the French occupation of Germany. Her research expertise spans the History of Women and Gender, History of Feminisms in Germany and Europe, European integration through gender lenses, and sexual violence in wartime contexts. She has published extensively on Wilhelmine Germany's feminist movements, including her monograph 'Citoyennes sous tutelle' (2013) and its German translation 'Bevormundete Staatsbürgerinnen' (2020). Her work connects historical analysis with contemporary gender politics, particularly regarding European integration and gender equality. Her scholarly output reveals consistent focus on German feminist movements across the 19th-21st centuries, with increasing attention to wartime sexual violence and European gender politics. Recent publications demonstrate interdisciplinary approaches combining historical methods with gender theory, reflecting her leadership in the 'Gender & Europe' research axis at SIRICE. Her work bridges academic scholarship with public engagement through media appearances and collaborative research projects. Marie Sklodowska-Curie Actions grant, Horizon 2020 (2018-2019) DAAD Excellence Program Research Mission Grant (2020) Research grant from GIS Gender Institute, FMSH Paris-Nord (2022) Member of Mnémosyne Prize for Women's and Gender History (since 2017) As Educational Manager of the dual 'Science and German' course since 2014, she has developed innovative interdisciplinary teaching approaches. Her research leadership includes co-piloting the 'Gender & Europe' axis at SIRICE and serving on the scientific committee of the journal 'History, Europe and International Relations.' She maintains active international collaborations through her membership in CIERA and participation in Franco-German research networks. Her scholarly activities extend to the 'Genre en Germ'' network of Germanists working on gender, where she has organized multiple meetings since 2021. She contributes to public scholarship through radio appearances on France Culture and Sud-Radio, addressing topics including gender politics, feminist history, and writing inclusivity debates.

• Artificial Intelligence in Language Teaching
• Generative AI
• Automatically Generated Subtitles
• +۷ مورد دیگر

Ana Bumber is a Doctor of English Studies currently serving as an ATER (temporary teaching and research associate) at Université Paul Sabatier Toulouse 3, assigned to IUT A. She is affiliated with the Department of Chemical Engineering Process Engineering, though her academic work is firmly rooted in English literature and language pedagogy. Her dual research focus bridges the humanities and technology, particularly in AI applications for language education and the literary artistry of Vladimir Nabokov. Her research interests include Artificial Intelligence in Language Teaching , generative AI tools , automatically generated subtitles , and intermediality in Vladimir Nabokov’s work . She explores how AI influences second language acquisition and investigates Nabokov’s intricate use of visual and sensory elements in literature. Her work often intersects digital pedagogy with modernist literary analysis. The recent trends in her publications show a strong emphasis on AI in education , particularly tools like HeyGEN for influencing L2 motivation, and the evaluation of AI-generated captions in ESP contexts. Simultaneously, she continues to publish on Nabokov’s aesthetic empiricism, train imagery, nature writing, and portraiture, reflecting a sustained scholarly engagement with modernist intermediality. Scientific Affiliations and Service: Member, French Vladimir Nabokov Society (SFVN) – also on the board (CA) Member, International Vladimir Nabokov Society (IVNS) Member, European Association for Computer Assisted Language Learning (EUROCALL) Member, Modern Language Association (MLA) Member, Society for Modernist Studies (SEM) Organizing member, Pedagogical Exchange Days (Lairdil) Webmaster team member for academic website Ana Bumber is actively involved in academic mentoring and pedagogical innovation, though no formal advisees are listed. She has organized pedagogical events and contributed to curriculum development through active learning strategies such as 'Job Dating' and peer feedback workshops. She has not received any explicitly mentioned grants or scientific awards in the provided text. Her work is supported through institutional affiliations and collaborative research networks, particularly in Nabokov studies and AI-enhanced language teaching. She participates in interdisciplinary seminars such as the EFELIA-ANITI cycle on AI and Humanities, indicating a strong commitment to bridging technological and humanistic scholarship.

• Software Engineering
• Cybersecurity
• Formal Methods
• +۵ مورد دیگر

Role & Affiliation: Jean-Christophe BACH is an Associate Professor at IMT Atlantique's Computer Science department since 2015. He leads the PASS research group (IRISA) and focuses on software security, model-driven engineering, and cybersecurity applications. Previously, he held roles as a teaching assistant (ATER) at University of Lille (2014–2015) and completed his PhD on model transformations at Inria/LORIA under Pierre-Étienne Moreau and Marc Pantel (defended 2014). Research Interests: His work centers on improving software trustworthiness through 'security by design' principles. Key areas include model federation, formal methods for software verification, transformation traceability, and cybersecurity in industrial systems. He actively contributes to frameworks like Openflexo and PAMELA, emphasizing practical tooling for secure systems engineering. Teaching & Education: Teaches advanced topics such as object-oriented design, functional programming (OCaml), concurrency modeling, and cybersecurity. Supervises student projects on Openflexo, game development, and network security (IPv6/Tor). Courses include INF301, INF447, and others. Labs & Collaborations: Engaged with IRISA and Lab-STICC research centers. Collaborates on projects like the European Space Agency's SSE4Space framework for secure space missions and the Quarteft project (aerospace software). Active in open-source initiatives and scientific mediation for K-12 programming education.

Adlen KSENTINIمشاهده پروفایل

استاد

• Mobile and Wireless Networks
• Software Defined Networking (SDN)
• Mobile Edge Computing (MEC)
• +۷ مورد دیگر

Adlen KSENTINI is a Professor at EURECOM's Communication Systems department, specializing in advanced networking technologies. His research focuses on Mobile and Wireless Networks, Software Defined Networking (SDN), Mobile Edge Computing (MEC), Network Function Virtualization (NFV), and Content Delivery Networks (CDN), with an emphasis on performance evaluation and network virtualization. He has contributed to projects like AC3 and 6G-BRICKS, exploring cloud-edge continuum integration and 6G infrastructure. Key research interests include virtualized mobile core networks, carrier cloud systems, and AI-driven network management. He has received Best Paper Awards at IEEE WCNC 2018 and IWCMC 2016 for works on network slicing and LTE modeling accuracy. His work often integrates machine learning for optimization, sustainability, and security in 5G/6G networks. Distinctions: Two Best Paper Awards Labs/Teams: Involved in EU-funded projects like AC3 and 6G-BRICKS Grants: Not explicitly listed, but active in collaborative research initiatives

Brigitte Pientkaمشاهده پروفایل

استاد

• Type theory
• Programming languages
• Logical frameworks
• +۷ مورد دیگر

Brigitte Pientka is a Full Professor in the School of Computer Science at McGill University, where she leads the Computation and Logic group. She received her PhD from Carnegie Mellon University in 2003, and previously studied at the University of Edinburgh and Technical University of Darmstadt. Her educational background includes: PhD from Carnegie Mellon University (2003) Studies at the University of Edinburgh Studies at Technical University of Darmstadt Dr. Pientka's research focuses on developing theoretical and practical foundations for building and reasoning about reliable, safe software systems. She combines theoretical research on logical foundations of computer science in programming languages and verification with system building. Her work spans logics (classical and non-classical), type theory, theorem proving, logic and functional programming, and logical frameworks. She has made significant contributions to the field of contextual types and mechanized metatheory. Her recent publications demonstrate a strong trend toward modal type theory, contextual types, and session types, with applications to functional programming, verification, and meta-programming. She has made significant contributions to the Beluga system, which explores how to combine functional programming with dependently-typed, higher-order data specified in the logical framework LF. Her work often bridges theoretical foundations with practical implementations for mechanized reasoning. Dr. Pientka has received several notable awards: Humboldt Fellowship Test of Time Award @ PPDP'18 for 'Programming with proofs and explicit contexts' Best student paper award at ICLP'03 She is actively involved in mentoring and academic service, having served as PC Chair for ICFP'24, CPP'23 and CPP'24, and as General Chair for POPL'20. She is an Executive Editor of Logical Methods in Computer Science and serves on the editorial boards of the Journal of Functional Programming and ACM Transactions of Computational Logic. She leads the Computation and Logic group at McGill University, which focuses on developing theoretical and practical foundations for reliable software systems through research in logical frameworks, type theory, and programming language design.

Binoy Ravindranمشاهده پروفایل

استاد

• Computer Systems
• Software Verification
• Concurrency
• +۷ مورد دیگر

Binoy Ravindran is a Professor at Virginia Tech’s College of Engineering, Department of Electrical and Computer Engineering, leading the Systems Software Research Group (SSRG). His research focuses on computer systems, emphasizing security, performance, concurrency, distributed systems, and real-time computing, with recent work in software verification and heterogeneous-ISA platforms. Key projects: Low-level Reasoning Machine (LLRM), Popcorn Linux, LibrettOS, Hyflow, HermiTux, SlimGuard, HydraVM, KairosVM. He has co-authored 15+ papers from 2025 to 2022, spanning venues like ASPLOS, POPL, PLDI, VEE, PPoPP, and MIDDLEWARE, with awards including ACM Distinguished Scientist and eight Best Paper Awards. Service roles: Editorial Boards (IEEE Transactions on Cloud Computing, ACM TECS), Program Co-Chair (ACM Systor 2025), Committee memberships across ASPLOS, PLDI, and more.

Christophe Hurterمشاهده پروفایل

پژوهشگر

• Artificial Intelligence
• Data Visualization
• Augmented Reality
• +۹ مورد دیگر

Christophe Hurter is a Researcher at the National School of Civil Aviation , specializing in Artificial Intelligence , Data Visualization , and Human-Computer Interaction . His work bridges Aviation Technology , Neuroscience , and Extended Reality (XR) , focusing on enhancing human performance through AI-driven systems. Affiliation: National School of Civil Aviation (Faculty Member, AI axis) Research Interests include: Explainable AI for aviation systems Neurophysiological monitoring using thermal imaging Eye tracking and cognitive processes in memory retrieval Graph and trajectory visualization for air traffic control Augmented/Virtual Reality interfaces for remote collaboration Event-based vision systems for spiking neural networks Recent article trends highlight his expertise in machine learning for medical diagnostics , XR applications in aviation , and visual analytics for human factors research . His work often addresses real-world challenges in air traffic control, piloting training, and biomedical data interpretation.

Djamel E. Khelladiمشاهده پروفایل

پژوهشگر

• Software Engineering
• Model-Driven Engineering
• Software Evolution
• +۶ مورد دیگر

Djamel E. Khelladi is a CNRS researcher affiliated with the IRISA research lab and the DIVERSE team at University of Rennes 1 , France. Previously, he held postdoctoral and PhD positions at Johannes Kepler University (JKU) Linz, Austria, and Université Pierre et Marie Curie (UPMC), France. Research interests include: Model-Driven Engineering Software Evolution & Co-evolution AI and Generative AI Applications Polyglot Programming Digital Twins Recent article trends focus on integrating Large Language Models (LLMs) for code-metamodel co-evolution, polyglot programming challenges, incremental build optimization in configurable systems, and empirical studies on software evolution. His work often bridges theoretical modeling with practical implementation in industrial contexts. Academic service roles include: Proceedings Co-Chair @MODELS 2025 Co-Organizer of Models and Evolution (ME) workshops (2023-2025) Co-Editor for special issue on Model Driven Engineering for Digital Twins (SoSym 2024/25) PC member in top venues: ICSE , ASE , MODELS , ECMFA , MSR , FSE

• Digital Twins
• Smart Cities
• Blockchain Technology
• +۵ مورد دیگر

Noel Crespi is a Professor and Director of Studies at Telecom SudParis, part of Institut Polytechnique de Paris. He leads research in the NeSS group and is affiliated with SAMOVAR, a prominent research laboratory focusing on networks, systems, and services. His work spans multiple domains in telecommunications, networking, and smart systems. His primary research interests include digital twins for smart cities, blockchain technologies, Internet of Things (IoT) security and applications, 5G/6G networking, and machine learning applications in network management. He has published extensively on these topics, with over 100 publications in top-tier journals and conferences. His recent work shows a strong focus on digital twin applications for urban management, particularly in traffic and air quality monitoring. He has developed modular frameworks for smart city digital twins that integrate real-time data from multiple sources. His research also explores blockchain applications for network security, access control, and service provisioning in next-generation cellular networks. Dr. Crespi has received significant recognition for his work on digital twins, with his 2020 paper "Digital twin in the IoT context" in Proceedings of the IEEE being highly cited. His current research explores the integration of AI with digital twin technologies for sustainable urban development. He has supervised numerous PhD students and collaborates extensively with researchers across Europe and internationally. His work often involves interdisciplinary approaches, bringing together computer science, networking, urban planning, and environmental science. Dr. Crespi has been instrumental in developing frameworks for network digital twins, with applications in traffic management, air quality monitoring, and resource allocation in smart cities. His research demonstrates practical implementations in cities like Madrid, showing measurable improvements in urban management.

• Schema discovery for Semantic Web data
• Data mining
• Recommendation systems
• +۵ مورد دیگر

Kenza Kellou-Menouer is a researcher affiliated with the ETIS Laboratory at ENSEA, France, and part of the MIDI research group . Her work focuses on schema discovery for Semantic Web data, data mining, and big data optimization. Research: Semantic schema discovery, clustering/classification algorithms, and association rules. Teaching: Semantic Web technologies, database design, algorithms, and programming languages (Java, C++, C#, C). Research Interests center on Semantic Web data integration, RDF schema inference, and hybrid machine learning approaches. She has contributed to scalable schema discovery systems and real-time profiling techniques for large datasets. Publications include work on schema inference tools (SchemaDecrypt++, HInT) and methodological frameworks presented at top-tier venues like VLDB (A*), ICDE (A*), SSDBM (A), and ISWC . Her research bridges theoretical advancements with practical implementations for RDF datasets. Community Contributions include organizing tutorials at the International Semantic Web Conference (ISWC) 2022 and developing educational materials for database and programming courses.

Géraldine Vaughanمشاهده پروفایل

استاد

• History of Ireland
• History of Scotland
• History of the British Empire (19th century)
• +۲ مورد دیگر

Dr. Géraldine Vaughan is a Professor at the Université de Lille, affiliated with the Faculty of Languages, Culture and Societies and the Department of English Studies - ANGELLIER. Her research focuses on historical studies of Ireland, Scotland, and the British Empire during the 19th century, alongside secularization processes, religious identities, and the history of education. She is associated with the ULR 4074 - Center for Studies in Civilizations, Languages, and Foreign Literature. Her professional email contact is geraldine.vaughan@univ-lille.fr .

Emmanuel Morinمشاهده پروفایل

استاد

• Natural Language Processing
• Computational Linguistics
• Bilingual Terminology Extraction
• +۵ مورد دیگر

Emmanuel Morin is a Full Professor in Computer Science at the University of Nantes, France. He is affiliated with the Computer Science Department of Nantes Institute of Technology (IUT) and leads the Natural Language Processing (TALN) team at the Digital Sciences Laboratory of Nantes (LS2N UMR CNRS 6004). His research focuses on computational linguistics with particular emphasis on multilingualism and multimodality. His academic leadership includes serving as Head of the NLP team (2017-present), Co-responsible for the ATAL (Machine Learning and Natural Language Processing) option of the Computer Science Master (2017-present), and Director of the Nantes computer science training department (2014-present). He also co-edits the Traitement Automatique des Langues (TAL) journal and serves on the steering committee of ATALA since 2004. Current projects: Atlantic 2020, ALALA Project (2019-present), ANR ADDICTE (2017-present), and Atlanstic 2020 RAPACE Project (2016-present) Past projects: Labex CominLabs LIMAH (2014-2019), ANR CRISTAL (2012-2016), and European FP7-ICT TTC project (2010-2012) Professor Morin's research spans natural language processing with a focus on bilingual terminology extraction and comparable corpora analysis. His recent work (2020-2022) shows strategic expansion into medical informatics applications like FrenchMedMCQA, while maintaining his foundational work on domain adaptation of language models using graph-based networks. His publications demonstrate a consistent trajectory from early terminology extraction methods to contemporary applications in specialized language processing. He has supervised numerous PhD students, with current advisees including Kévin Espasa, Martin Laville, Merieme Bouhandi, and Antoine Caubrière. His past students have made significant contributions to the field of natural language processing, continuing his research legacy in academia and industry.

Thi Phuong Khanh Nguyenمشاهده پروفایل

پژوهشگر

• Prognostics and Health Management (PHM)
• Predictive Maintenance
• Condition-Based Maintenance
• +۸ مورد دیگر

Dr. Thi Phuong Khanh Nguyen is a researcher at the Ecole Nationale d'Ingénieurs de Tarbes (ENIT) , affiliated with the College of Engineering and Department of Systems . Her work focuses on Prognostics and Health Management (PHM) , predictive maintenance, and industrial data analytics, combining machine learning with physics-informed modeling to address uncertainty in system degradation. Teaching: Mathematics for engineers, Probability, Statistics, Operating safety Research: Health indicators, diagnostics, prognostics, multimodal data fusion Methods: Data mining, physical and data-driven models, decision support systems Tools: FAST, Petri nets, UML, HMM, RNN, CNN, Transformer architectures Her recent publications highlight advancements in explainable AI , physics-informed neural networks , and multimodal learning for fault detection, battery RUL prediction, and robotic inverse dynamics. She also explores blockchain and federated learning for decentralized prognostics.

Jordi Canalمشاهده پروفایل

مدرس

• Spanish History
• Catalan History
• Carlism
• +۴ مورد دیگر

Jordi Canal is a Lecturer at the School for Advanced Studies in the Social Sciences (EHESS) in Paris, affiliated with the Center for Historical Research (CRH) and the Iberian Studies Group (GEI). His academic career spans several decades, with a focus on Spanish and Catalan political history, particularly examining Carlism as a counter-revolutionary movement and the development of Catalan nationalism. Canal's research interests center on contemporary Spanish history, with particular emphasis on political movements, nationalism, historical memory, and the relationship between history and literature. His work demonstrates deep engagement with how political identities are constructed through symbols, emotions, and historical narratives. He has published extensively on Carlism, examining it not merely as a historical curiosity but as a significant political phenomenon that shaped modern Spain. His recent publications reveal an increasing focus on the intersection of literature and history, analyzing how novels and literary works engage with historical events and political transitions in Spain. This includes examining works by authors like Galdós, Unamuno, Pardo Bazán, and Semprún to understand how literature processes historical trauma and political change. Canal maintains an extensive international scholarly network, serving on the editorial and advisory boards of numerous academic journals across Spain, Italy, France, Brazil, Venezuela, and other Latin American countries. He also serves on the 'Junta de Govern' of the Democratic Memorial, appointed by the Parliament of Catalonia in 2016. His teaching focuses on 'History of Contemporary Spain: Research, Debates, Problems' and 'The Colors of Politics: Identities, Emotions, Symbols, Propaganda, Fashion,' reflecting his interdisciplinary approach that connects political history with cultural and symbolic dimensions of power.

• Human Reinforcement Learning
• Neuroeconomics
• Decision-Making Under Uncertainty
• +۳ مورد دیگر

Stefano Palminteri is a researcher at the École Normale Supérieure in Paris, leading the Human Reinforcement Learning team at the Cognitive Neuroscience Laboratory (LNC2) since 2017. He holds a PhD in Cognitive Neuroscience from Université Pierre et Marie Curie (2012) and completed postdoctoral work at LNC2, University of Trento, and University College London. Education: Master in Pharmaceutical Biotechnology (University of Bologna, 2006); Master in Cognitive and Behavioral Neuroscience (Université Pierre et Marie Curie, 2007); PhD in Cognitive Neuroscience (UPMC, 2012). His research focuses on computational and neurobiological mechanisms of reinforcement learning, decision-making under uncertainty, and behavioral biases. He investigates how contextual factors (e.g., social influence, neurochemical states) shape learning processes in healthy and clinical populations (e.g., addiction, depression, Tourette syndrome). Recent work explores value normalization, metacognitive biases, and cross-cultural comparisons of reinforcement learning. Key trends in his publications include (1) computational modeling of reward/punishment sensitivity in psychiatric conditions, (2) neuroeconomic frameworks for decision-making under risk and ambiguity, (3) multi-agent reinforcement learning in financial market simulations, and (4) cross-domain comparisons of description vs. experience-based learning. He employs functional neuroimaging, pharmacological interventions, and behavioral experiments to uncover how brain circuits (e.g., striatum, prefrontal cortex) encode value signals. His lab offers internships in epistemic biases and reinforcement learning.