جستجوی استاد راهنمای دانشگاهی

Béatrice Dailleمشاهده پروفایل

استاد

• Natural Language Processing
• Computational Linguistics
• Machine Learning
• +۶ مورد دیگر

Béatrice Daille is a Professor at the University of Nantes and member of LS2N (Laboratory of Digital Sciences of Nantes), where she currently serves as coordinator of the 'signals, images, sounds, languages' research pole. She leads the preGDR (pre-Groupement de Recherche) on Automatic Language Processing (TAL), created in January 2018, which aims to unify various language processing communities including written language, oral language, and information retrieval specialists. Her research spans the evolving landscape of Natural Language Processing with particular focus on neural learning methodologies, deep learning applications, and multimodal interaction systems. She investigates critical challenges including model explainability, data bias mitigation, language preservation for endangered languages, and robustness of AI systems across different contexts. Her work bridges computational approaches with linguistic theory to address societal implications of language technologies. Professor Daille has been instrumental in structuring the French TAL community through the preGDR initiative, organizing events at major conferences including CORIA and TALN in 2019. She has submitted proposals for a summer school on new language interfaces scheduled for July 2020 and is planning community events on multilingualism and information retrieval. Her leadership follows 15 years heading a language processing research team and previous editorial work with the TAL journal. Co-editor of TAL journal during its transition to electronic format Former member of scholarly associations in computational linguistics Active organizer of community-building initiatives for NLP researchers Her research vision emphasizes the convergence of methods across language modalities, recognizing that future applications must handle written, spoken, and signed language forms. She advocates for interdisciplinary collaboration between field linguists and computer scientists to preserve endangered languages through digital means, noting that 'a non-digitized language is a language that will die.'

Aghilas Siniمشاهده پروفایل

مدرس

• Speech Synthesis
• Voice Biometrics
• Deepfake Detection
• +۳ مورد دیگر

Aghilas Sini is a Lecturer and teacher-researcher in the LST team at LIUM (Laboratoire d'Informatique de Nantes Atlantique), part of the Université du Maine in Le Mans. His academic journey includes a Master's in Artificial Intelligence from Université Paul Sabatier (2014) and a PhD in Computer Science from the University of Rennes 1 (2020). Previously, he worked as a CNRS engineer at LORIA-INRIA’s Multispeech team and held a contract position at the University of Rennes in Lannion (2022). His research focuses on expressive speech processing, including speech synthesis (text-to-speech, voice cloning), voice biometrics (deepfake detection), and computational tools for language learning. Current projects at LIUM aim to develop multilingual, expressive, and multimodal speech translation systems. Collaborations include work with Learn&Go on pronunciation analysis using automatic speech recognition. Key research interests span speech conversion, privacy-preserving data techniques, and cross-linguistic speech technologies. His work bridges theoretical advancements with practical applications in both academic and industry settings.

Tanguy Rissetمشاهده پروفایل

استاد

• Embedded Systems
• Compilation
• High Level Synthesis
• +۳ مورد دیگر

Tanguy Risset is Professor in the Telecommunication Department at Insa-Lyon, specializing in embedded systems, compilation, and software-defined radio. As head of Inria's Socrate project, he coordinates research on cognitive radio networks integrating signal processing, communications, and computer science. His research develops FPGA-based solutions for real-time audio processing and wireless systems, emphasizing compilation techniques for hardware acceleration. Recent publications focus on low-latency audio transmission, spatial sound implementation, and open-source toolchains for FPGA audio DSP.

Aikaterini TZOMPANAKIمشاهده پروفایل

استادیار

• Data Privacy
• Database Systems
• Query Optimization
• +۶ مورد دیگر

Aikaterini TZOMPANAKI is an Assistant Professor and associated member of the ACMES team at Télécom SudParis. Her research focuses on database systems, data privacy, query optimization, and provenance analysis. She has contributed to topics such as differential privacy, SQL debugging, and explainability in data streaming and collaborative filtering. Education: PhD in Database Systems from Université Paris Saclay (2015), titled 'Missing Answers: Debugging and Repairing Queries.' Research Interests: Privacy-preserving data publishing and differential privacy for time series. Why-Not Questions and provenance-based explanations for queries and collaborative systems. SQL query refinement and automatic debugging techniques. Pattern matching and visualization of regular expressions. Key Trends in Articles: Focus on privacy and security in dynamic data environments. Advancement of query explainability and provenance systems. Integration of machine learning in database systems and recommender systems. Awards: No scientific awards explicitly mentioned. Grants & Advising: No grants or student advising details provided in the text. She is affiliated with the SAMOVAR research laboratory at Télécom SudParis.

Laurent Hascoetمشاهده پروفایل

پژوهشگر

• Computer Science
• Automatic Differentiation
• Program Analysis and Transformation
• +۴ مورد دیگر

Laurent Hascoët is a permanent INRIA Researcher at Sophia-Antipolis center in France since 1986. He leads the ECUADOR team , previously known as TROPICS team, focusing on Automatic Differentiation (AD) since 1998. Research Interests: Specializing in Program Analysis and Transformation Parallelization Algorithms Compiler Techniques for AD Scientific Computing Applications Memory Optimization in Reverse Mode AD His work includes foundational research on data-flow analyses for adjoint programs, formalization of SPMD parallelization methods for mesh-based computations, and development of the TAPENADE Automatic Differentiation tool. The tool has been applied to complex systems like ocean circulation models (OPA) and CFD simulations. Scientific Work: He has contributed to Formalizing AD data-flow equations Extending TAPENADE to C language Optimizing checkpointing strategies Advancing tangent-on-reverse second derivative computation Reducing memory usage through address reversal techniques

François Jacquenetمشاهده پروفایل

استاد

• Machine Learning
• Data Mining
• Natural Language Processing
• +۵ مورد دیگر

François Jacquenet is a Professor of Computer Science at the University of Saint-Etienne, where he is a member of the Machine Learning Team at the Hubert-Curien Laboratory. His research focuses on machine learning and data mining applications for natural language processing, with significant contributions to privacy-preserving systems including Hippocratic Multi-Agent Systems and Automata-Based Sequence Mining. His research interests span Machine Learning , Data Mining , Natural Language Processing , and Privacy-Preserving Systems . Jacquenet has led multiple research projects including the PASCAL II Network of Excellence (2008-2012), the Bingo2 project (2008-2010), and the Web Intelligence project (2006-2008), where he focused on ethical web design and privacy protection techniques. His work bridges theoretical foundations with practical applications in areas like fraud detection, meeting summarization, and video tag correction. Analysis of his recent publications reveals a consistent research trajectory in deep learning applications , privacy-preserving techniques , and cross-modal learning . His work shows a progression from foundational research in grammatical inference and automata theory to contemporary applications in neural networks and self-organizing systems. The publications demonstrate strong interdisciplinary connections between computer science, physics, and security applications. Best AI Paper Award at Conference (2006) Professor Jacquenet has supervised numerous PhD students including Maria Galvan, Hoang-Tung Tran, Ludivine Crépin, and Stéphanie Jacquemont. His research has been supported by significant grants including the French Research Agency (ANR), the Rhône-Alpes region, and international networks like PASCAL. He has organized multiple conferences including Privacy on the Web at the ACM Symposium on Applied Computing and the PASCAL Workshop on Teaching Machine Learning. He is actively involved with the Machine Learning Team at Hubert-Curien Laboratory , contributing to the PASCAL Network of Excellence and the REWERSE Network. His research group focuses on developing practical applications of machine learning while addressing fundamental theoretical questions in pattern mining and language learning.

• Semantic Data Integration
• Ontology-based Database Design
• Big Data & Cloud Computing
• +۵ مورد دیگر

Ladjel Bellatreche is a Full Professor at the National Engineering School for Mechanics and Aerotechnics (ISAE-ENSMA) in Poitiers, France, where he has been a faculty member since September 2010. He leads the Data and Model Engineering Team of the Laboratory of Computer Science and Automatic Control for Systems (LIAS). Prior to his current position, he spent eight years as Assistant and then Associate Professor at Poitiers University. His academic journey includes visiting positions at Université du Québec en Outaouais (Canada), Purdue University (USA), and Hong Kong University of Science and Technology (China). Professor Bellatreche's research interests span multiple domains in data management and engineering, with a focus on Semantic Data Integration, Ontology-based Database Design, Life Cycle of Extremely Large Database Design, Big Data & Cloud Computing, Green Computing, and Database Deployment. His work bridges theoretical foundations with practical applications in data-intensive systems. His publications reflect a strong trend toward addressing challenges in big data analytics, semantic data integration, and energy-efficient database systems. The research demonstrates a progression from traditional data warehousing techniques to more advanced approaches incorporating semantic web technologies, linked open data, and green computing principles. His work increasingly focuses on scalability, efficiency, and the integration of diverse data sources. Professor Bellatreche has received recognition through his service as an Editorial Board Member for the International Journal of Reasoning-based Intelligent Systems and as subject area editor of the Scalable Computing Journal. He has also served as a reviewer for prestigious journals including IEEE TKDE and Distributed and Parallel Database Journal. His leadership extends to organizing major international conferences such as DAWAK, DOLAP, MEDI, and WISE. With over forty program committee memberships, he plays a significant role in shaping research directions in data management. Additionally, he actively promotes research in Africa and Asia through student supervision and conference organization.

• Cyber-Physical Systems
• Interval Analysis
• Robotics
• +۵ مورد دیگر

Alexandre Chapoutot is a Lecturer and researcher at ENSTA Paris within the Computer Science and Systems Engineering Unit (U2IS). He leads the Semantics of Hybrid Systems (SSH) research group and serves as Head of the 2nd year specialization of the engineering cycle in Computer Science. His academic work bridges theoretical computer science with practical engineering applications, focusing on the rigorous analysis and verification of complex systems. Chapoutot's research interests span the verification of cyber-physical systems, with a strong emphasis on interval analysis and mobile robotics. He has made significant contributions to the static analysis of programs through abstract interpretation, particularly for improving the accuracy of floating-point arithmetic calculations. His work bridges theoretical computer science with practical engineering applications, developing methods that ensure the reliability and safety of autonomous systems. The research has direct applications in robotics, control systems, and safety-critical embedded software where numerical precision and system correctness are paramount. His recent publications reveal a strong trend toward the integration of formal methods with practical robotics applications. The work spans theoretical foundations in hybrid systems verification, practical implementations for robotics navigation and control, and innovative approaches to combining different verification techniques. A significant portion of his recent work focuses on Signal Temporal Logic applications, trajectory optimization, and the development of verified algorithms for autonomous systems. The publications demonstrate a consistent progression from theoretical foundations to practical implementations with real-world robotics applications. Chapoutot actively supervises multiple PhD students working on cutting-edge research topics at the intersection of formal methods and robotics. His research group collaborates extensively with other institutions and researchers, as evidenced by the numerous co-authored publications across various domains. He contributes to the development of the DynIbex software library, which provides validated solutions for ordinary differential equations using Runge-Kutta methods. His laboratory work centers around the Semantics of Hybrid Systems (SSH) group, which develops theoretical frameworks and practical tools for the analysis and verification of cyber-physical systems. The group's research spans formal methods, numerical analysis, and robotics, with a strong emphasis on developing mathematically rigorous approaches that can be applied to real-world engineering problems.

• Formal Languages
• Syntactic Analysis
• Compilation
• +۴ مورد دیگر

Pierre Boullier is a French computer researcher and Research Director at INRIA (French National Institute for Research in Digital Science and Technology). He has made significant contributions to formal languages, syntactic analysis, and automatic language processing across several decades, with ongoing involvement in research projects such as Alpage since 2007. Computer engineering training at Supélec (class of 1967) Doctorate in science State doctorate from University of Orléans (1984) entitled 'Contribution to the automatic construction of lexicographic and syntactic analyzers' Boullier's research focuses on formal languages and syntactic analysis technologies for compilation and automatic language processing. His work centers on developing formalisms, algorithms, and tools, with particular emphasis on non-deterministic parsing with context-free grammars, contextual polynomial formalisms, and Range Concatenation Grammars (RCG). His RCG work represents his most significant contribution, adopted and extended by research teams worldwide. Analysis of his publication history reveals a clear trajectory: early work on graphic languages (1970s), transition to programming language compilation (1980s), and specialization in natural language processing (1990s onward). The SYNTAX system he developed remains influential across both programming language compilation and natural language processing domains. Boullier has led key research initiatives: DELTA research project (later evolved into Langages et Traducteurs, then Oscar) Atoll research project (founded in 1997 for automatic language processing tools) Alpage project (since 2007, joint team with University of Paris 7's linguistics department) He is additionally recognized for translating the first French edition of the 'Dragon book,' the seminal reference in compiler design.

• Linguistics
• Automatic Language Processing
• Statistical Analysis of Textual Data
• +۶ مورد دیگر

Mathieu Valette is a University Professor at the Institut National des Langues et Civilisations Orientales (INALCO) in Paris, France, where he serves as Director of the Texts, Computer Science, Multilingualism department since 2021. He leads the ERTIM research team and coordinates the ANR AID ASTRID GECKO project on cognitive warfare since 2023. Previously, he served as President of section 7 (language sciences) of the CNU from 2014-2019 and Director of ERTIM from 2010-2019. Professor Valette's research focuses on the intersection of linguistics, computational methods, and text analysis. His work spans corpus semantics, statistical analysis of textual data, epistemology of natural language processing, and the characterization of harmful content. He has developed methodologies for subjective data mining and has made significant contributions to textual lexicology and automatic language processing. His research bridges theoretical linguistics with practical applications in multilingual contexts, particularly extending from French linguistics to Chinese language processing. Analysis of Professor Valette's recent publications (2020-2025) reveals a clear evolution in his research interests, with increasing focus on cognitive warfare, language models, and mental health detection through social media analysis. His work demonstrates a consistent integration of statistical text analysis with linguistic theory, particularly in the areas of sentiment analysis, corpus semantics, and the epistemological foundations of NLP. Notably, his research has expanded from theoretical linguistics to address contemporary challenges in AI ethics, cross-cultural language processing, and the societal impacts of language technologies. Throughout his career, Professor Valette has maintained active collaborations with researchers across multiple disciplines, including computer science, public health, political science, and cognitive psychology. His administrative roles in major research projects and department leadership demonstrate his significant contributions to the academic community beyond his direct research output.

Mohammad Mohammadaminiمشاهده پروفایل

پژوهشگر

• Speaker recognition
• Automatic speech recognition
• Machine translation
• +۲ مورد دیگر

Mohammad Mohammadamini is a postdoctoral researcher at the University of Le Mans' LIUM (Laboratoire d'Informatique de l'Université du Maine). His research focuses on speech translation for low-resource languages, particularly Central Kurdish, and speech stream translation systems. Education: PhD in Computer Science from Avignon University (2023) Research interests include: Robustness of speaker recognition systems Automatic speech recognition (ASR) Machine translation Creation of speech translation datasets Current projects: COMMUTE ESPERANTO Labs & teams: LIUM research team

Daniel Luzzatiمشاهده پروفایل

پژوهشگر

• Linguistics
• Automatic Language Processing
• Speech Recognition
• +۴ مورد دیگر

Daniel Luzzati is a permanent researcher at the University of Le Mans, affiliated with the LIUM (Laboratoire d'Informatique de l'Université du Maine) in France. His work bridges computational linguistics, automatic language processing, and theoretical linguistics, with a focus on spoken/written language interactions and dialogue systems. University: University of Le Mans Department: Computer Science Academic Rank: Researcher His research primarily addresses: Grammar and syntax analysis in French Automatic processing of oral and written language Human-machine dialogue systems Corpus linguistics and speech recognition Language teaching methodologies Sociolinguistic aspects of gender and humor Recent publications focus on the Great Grammar of French (GGF), interrogative structures, and the evolution of grammatical frameworks. He frequently collaborates with researchers like Danielle Coltier, Mary-Annick Morel, and Sophie Rosset. Labs & Teams: LIUM, a multidisciplinary research laboratory specializing in language technologies and computational linguistics.

Corinne Fredouilleمشاهده پروفایل

استاد

• Automatic Speech Processing
• Health Informatics
• Speech Disorders Analysis
• +۳ مورد دیگر

Corinne Fredouille is a Professor in Computer Science at Avignon Université, affiliated with the Laboratoire Informatique d'Avignon (LIA), part of the UFR STS faculty. She specializes in Automatic Speech Processing, particularly for clinical applications in healthcare, focusing on speech and voice disorders linked to neurodegenerative diseases, strokes, and head/neck cancers. Co-leader of the LIAVignon partnership chair in AI, she leads interdisciplinary research integrating AI tools for objective clinical assessment and therapeutic management. Her research emphasizes developing acoustic-phonetic decoding methods and deep learning models to evaluate speech intelligibility and quality. Collaborations include partnerships with industrial firms and international startups, such as a recent e-education project with a Nantes-based startup. She is a core member of the LIA, which is part of the Brain and Language Research Institute (LABEX) and founding member of Carnot Institute 'Cognition' and Convergences Institute 'Language, Communication and Brain Institute.' Key contributions include the TYPALOC and C2SI corpora for speech disorder analysis and the development of tools like the Neuro-Concept Detector framework. Her work bridges computational linguistics with clinical needs, addressing gaps in automated speech disorder assessment in data-scarce contexts.

• Sign Language
• Translation Studies
• Terminology
• +۳ مورد دیگر

Jeremie Segouat is a Lecturer at the Cognition, Languages, Ergonomics (CLLE) research unit at University of Toulouse - Jean Jaurès. His primary research focuses on French Sign Language (LSF), translation studies, terminology, and accessibility for deaf communities. With a career spanning over 15 years, he has established himself as a key researcher in sign language linguistics and technology. Segouat's research interests center around sign language corpora, terminology development (particularly in STEM fields), audiovisual translation for deaf audiences, and the computational modeling of sign language. His work bridges theoretical linguistics with practical applications for deaf accessibility. He has published extensively on sign language coarticulation, corpus linguistics, and the development of digital resources for French Sign Language. His recent publications (2022-2024) show a strong focus on STEM terminology in LSF, audiovisual accessibility for deaf children, and terminological resources for interpreters. These works demonstrate both continuity with his earlier research on sign language corpora and coarticulation modeling while expanding into new applications for educational contexts. Segouat has received recognition through numerous conference presentations and collaborative projects, particularly with researchers like Annelies Braffort and Amélie Josselin-Leray. His work with the Sens Dessus Dessous association in Toulouse on LSF versions of short films for young deaf audiences represents a significant practical application of his research. He completed his PhD in 2010 at Université Paris Sud - Paris XI with a thesis on modeling coarticulation in French Sign Language for information dissemination in railway stations using virtual signers, establishing the foundation for his ongoing research in sign language technology and accessibility.

Caihong Wengمشاهده پروفایل

پژوهشگر

• Experimental Phonology
• Speech Perception
• Bilingualism
• +۳ مورد دیگر

Caihong Weng is a doctoral researcher at the University of Paris Cité affiliated with the Phonetics and Phonology department. Her research explores the intersection of Experimental Phonology , Speech Perception , and Bilingualism , with a focus on Mandarin and Quanzhou Southern Min phonology. Research Themes : Perceptual assimilation of Mandarin fricatives by Southern Min speakers Bilingual phonological contrast production and perception Optional liaison in French phonology Cross-linguistic influence in phonological processes Speech disfluency and alignment errors Education : PhD in Phonetics and Phonology (Université Paris Cité, 2022–) Masters in Phonetics and Phonology (Université Paris Cité, 2020–2022) Publications demonstrate her expertise in bilingual speech dynamics, phonological variation, and comparative studies of Mandarin and Quanzhou Southern Min. Her work often employs corpus analysis, perceptual experiments, and phonetic modeling.