Sylvain Lamprier is an Adjunct Professor affiliated with the Institute for Intelligent Systems and Robotics (ISIR) at Sorbonne University, working closely with the Machine Learning and Artificial Intelligence (MLIA) team. His research spans reinforcement learning, adversarial robustness, fairness in AI, and natural language processing. Specializes in robustness of deep RL agents against adversarial attacks Investigates fairness mechanisms without sensitive attributes Develops cooperative learning frameworks for language models Contributes to symbolic regression and query decomposition techniques Recent work includes ensemble methods for adversarial robustness (CAp 2025), distributionally robust auto-encoding (2025), and grounding LLMs in interactive environments (ICML 2023). Publications in top venues like NeurIPS, IJCAI, and ACL reflect his interdisciplinary focus. No scientific awards or part-time status are explicitly mentioned.
Ladjel Bellatreche is a Full Professor of Data Engineering at ISAE-ENSMA (National Engineering School for Mechanics and Aerotechnics) in Poitiers, France, where he has served as faculty since September 2010. He leads the Data and Model Engineering Team within 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 the University of Québec en Outaouais (Canada), Purdue University (USA), and Hong Kong University of Science and Technology (China). Professor Bellatreche's research focuses 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 management systems, particularly addressing challenges in scalability, efficiency, and semantic enrichment of data repositories. His research has evolved from traditional data warehousing to encompass modern big data analytics and energy-efficient database systems. Analysis of his recent publications reveals a strong trend toward addressing the challenges of big data management through innovative approaches in semantic integration, graph-based query optimization, and green computing. His research shows consistent focus on data warehousing evolution, with increasing emphasis on semantic technologies, RDF data processing, and energy efficiency in query processing. The work demonstrates progression from traditional database design to contemporary challenges in data science and advanced analytics. Professor Bellatreche actively contributes to the academic community through editorial roles, including serving as an Editorial Board Member for the International Journal of Reasoning-based Intelligent Systems and Subject Area Editor for the Scalable Computing Journal. He has organized numerous international conferences and workshops including DAWAK, DOLAP, and MEDI, and has served on program committees for over forty international conferences. He is deeply involved in research mentorship and international collaboration, particularly in Africa and Asia, where he co-supervises students and organizes academic events such as ICT-EurAsia and CIIA. His work extends to promoting research capacity building in developing regions through academic partnerships and collaborative projects. As leader of the Data and Model Engineering Team at LIAS laboratory, Professor Bellatreche oversees research initiatives focused on advanced data management systems. His team works on cutting-edge problems in database design, optimization, and integration, with particular expertise in semantic data warehousing, big data analytics, and green computing approaches for database systems.
Mukesh BARANGE is an Associate Professor at CESI, affiliated with the 'Engineering and Numerical Tools' research team. His work focuses on Human-Computer Interaction, Virtual/Augmented Reality, and Multimodal Systems. He leads the NEXUS research project (2023-2026) and supervises Tristan LANNUZEL's PhD on collective intelligence in immersive environments. Education : Doctorate in Human-Computer Interaction, University of Western Brittany (2015) Master of Science and Research, IMT Atlantique Bretagne (2010) Bachelor of Engineering Associate Member of Institution of Electronics and Telecommunication Engineers (AMIETE, 2005) Research Interests : BARANGE explores adaptive empathic agent behavior, multimodal interaction analysis, and collaborative virtual environments. His work bridges machine learning, social robotics, and educational technologies to enhance human-machine collaboration and immersive experiences. Selected Achievements : RoboBreizh Team: RoboCup@Home SSPL Champion 2022 Nominated for Best Paper Award at ACM IVA 2022 for empathic agent research Over 20 peer-reviewed publications since 2010 Teaching: He instructs computer science and engineering courses for Engineers (3rd–5th year), Masters, and Bachelor students at CESI. Labs/Teams : Part of CESI LINEACT's research group, contributing to interdisciplinary projects in digital twins and human-agent interaction.
Christel Bidet-Ildei is Full Professor at the Faculty of Sports Sciences, University of Poitiers , and Director of the Center for Research on Cognition and Learning (CeRCA) . She simultaneously serves as Deputy Director of CeRCA since 2022, leads interdisciplinary collaborations across France, Germany, and Japan, and has previously managed the EXSECO research team and the Master programme in Rehabilitation, Disability and Motor Performance Engineering (IRHPM). Education Bachelor’s Degree in Science and Technology of Physical and Sports Activities (STAPS) – motor and psychological development of the child, data analysis Master STAPS: Rehabilitation, Disability and Motor Performance Engineering (IRHPM) – sensory and cognitive impairments, cognition, motor skills, relearning Master’s in Psychology: "Cognitive and Language Disorders" – use of action as a rehabilitation technique for cognitive disorders Research Interests Her work sits at the intersection of cognitive psychology, motor control, and language processing . Using point-light displays and motion-capture technologies , she investigates how observing biological motion influences memory, language, and motor learning across the lifespan. A particular focus is placed on action-semantic links , embodied cognition , and rehabilitation protocols for populations with Parkinson’s disease, autism spectrum disorders, post-surgical orthopedic patients, and aphasia. Publications & Trends Over the past three years her output has intensified around clinical applications of action observation . Studies range from randomized controlled trials testing point-light intervention after total-knee arthroplasty to systematic meta-analyses demonstrating the efficacy of action observation in speech and language rehabilitation. A complementary line explores how finger kinematics scaffold numerical meaning acquisition in kindergarten, highlighting developmental perspectives on embodied numeracy. Scientific Awards & Recognition While no specific medals or prizes are listed, her sustained funding record, invited symposia at ACAPS, ESCOP, and multiple French national congresses, alongside international collaborations (Tübingen, Tokyo, Lille, Geneva), underscore strong peer recognition. Doctoral Supervision & Grants Sophie-Anne Beauprez (2015-2018, ministerial grant) – sensorimotor contributions to language processing Aurélie Benchekri (2020-ongoing, regional project) – motor disorders in autism (biomechanical + cognitive approach) Evan Launay (2020-ongoing, salaried) – written production in adult autism Victor Francisco (2021-ongoing, unfunded) – action observation in rehabilitation and motor performance Labs & Teams She directs the PLAViMoP platform (Point-Light Action Visualization and Modification Platform), a continuously updated 3-D point-light database serving the international research community. She founded and coordinated the “embodied cognition” research group within CeRCA from 2013-2021 and remains instrumental in shaping the laboratory’s scientific policy and valorisation strategy.
Lecturer in the Computer Science Department at the College of Technology, University of Grenoble Alpes. Research focuses on collaborative error annotation tools and interactive meaning clarification processes within the GETALP team (Grenoble Computer Science Laboratory, LIG). Research Areas: Development of collaborative error annotation systems Automatic and interactive meaning clarification processes Integration of natural language processing techniques
Alda Mari is a Research Director at CNRS affiliated with the Institut Jean-Nicod at École Normale Supérieure in Paris, where she directs the LANGAGE, PENSÉE ET COMPORTEMENT research team. Her academic background includes training in ancient languages (Greek, Latin, Sanskrit, Vedic, Pali) and computational linguistics in Italy and Switzerland. She has held research collaborations with CUNY and the University of Chicago, and has led significant projects including an ANR on genericity. Mari is a formal semanticist whose research spans modal verbs, adverbs, attitudes, and cross-linguistic studies primarily focusing on French, Italian, English, and Greek. Her work has evolved from theoretical investigations of genericity, reciprocity, and plurality to applied research on intention detection and text mining through the INTACT project. She has recently expanded into diachronic formal semantics, examining how semantic structures change over time. Her scholarly output demonstrates consistent engagement with both theoretical and applied aspects of linguistics, with recent publications addressing epistemic modality, question formation, social media discourse analysis, and computational applications for intention detection. Her work bridges formal semantics with practical applications in crisis management and social media analysis. Mari's research has been supported by multiple ANR grants and collaborative projects, including INTACT (2018-2019) and INTACT II (2020-2022) focusing on intention detection and action prediction. She has also contributed to projects on automatic detection of sexism in social networks (2017-2019). As a Research Director at CNRS, Mari holds one of the highest academic positions in the French research system, equivalent to a full professorship. Her leadership role directing a research team at the Institut Jean-Nicod demonstrates her standing in the field of formal semantics and linguistics.
Bruno Jacob serves as a Researcher at LIUM (Laboratoire d'Informatique de l'Université du Maine) within Le Mans University, France. His primary affiliation centers on speech technology research, with documented activity from 1994 to 2005 through 18 publications in major international venues. The LIUM laboratory provides his institutional base for advancing speech recognition methodologies. His research program focuses on overcoming fundamental challenges in speech processing through three interconnected thrusts: (1) enhancing large-vocabulary recognition via contextual transcription rules and phonological integration, (2) developing robust speaker verification systems for telephony applications, and (3) pioneering multimodal approaches that fuse acoustic and articulatory information using master-slave HMM architectures. This work consistently bridges theoretical modeling with practical implementation, as evidenced by open-source system development like Sirocco. Analysis of his 15 most recent publications reveals an evolutionary trajectory from foundational HMM research (1994-1996) toward increasingly sophisticated contextual and multimodal systems (1997-2005). Key thematic developments include the transition from isolated word recognition to continuous speech systems, integration of visual speech cues, and specialized applications in password-based verification. The publication pattern shows concentrated productivity peaking in the late 1990s with sustained contributions through 2005. Bruno Jacob maintains active research infrastructure through LIUM laboratory resources and has participated in externally funded initiatives like the PICASSO project for telephone speaker verification. His collaborative framework involves consistent partnerships with core French research units while leveraging European project structures for broader networking. The laboratory environment supports his focus on speech technology innovation through computational resources and academic partnerships. His research group operates within LIUM's computer science infrastructure at Le Mans University, specializing in speech processing toolchains. The laboratory context enables both theoretical algorithm development and practical system implementation, with historical emphasis on open-source frameworks. Current activities likely build upon his documented work in multimodal recognition and contextual rule integration, maintaining relevance to evolving speech technology challenges.
Alain Guez is a Professor at the National School of Architecture of Paris-Belleville (PSL University) and a researcher at Laa/Lavue UMR CNRS 7218. He holds an HDR (Habilitation à Diriger des Recherches) and works as an architect-urban planner. His research critically explores the chronotopic articulation of time and space in inhabiting practices, bridging architecture, urban planning, and landscape design through theoretical and practical frameworks. Current research projects: ViTAL Research - Ville Automatic Language Processing (Labex Pasp) Living on the border – Luxembourg in Transition / IBA Alzette Belval Research on small railway lines as recyclable infrastructure Chronotopic exploration of a Parisian territory (Paris 2030) at Laa/LAVUE UMR CNRS 7218 Additional roles: Coordinator of the Chronotopia research project Co-editor of Editions Donner Lieu Educational background: Accreditation to Direct Research in Spatial Planning and Urban Planning, Paris Nanterre University Doctorate in Territorial and Environmental Planning, Politecnico di Milano CEAA in Theories and Aesthetics of Architecture, Paris-Villemin School of Architecture DEA in Philosophy of Art, Paris I Panthéon Sorbonne Architect dplg, Paris Villemin School of Architecture
Helene ZGANIC is a Researcher affiliated with Multispeech , a research team common to Inria, Loria (Universite de Lorraine/CNRS/Inria), and Vivoka. Her work focuses on speech-to-text (STT) systems, natural language understanding (NLU), voice data protection, and acoustic diagnostics, often involving collaborations between academic institutions and industry partners. Key projects she has contributed to include Acoust.IA , designed for sound diagnostic tools, and the VoicePrivacy Challenge , which explores voice anonymization techniques. She has also been involved in the COMPRISE project, addressing weakly supervised learning for speech and text processing, and the Oriental Language Recognition (OLR) challenge , highlighting her expertise in automatic language recognition systems. Her research emphasizes reducing reliance on manually labeled datasets, improving voice assistant technologies, and advancing ethical AI applications in audio engineering and collaborative systems. Academic-industrial partnerships, such as with Vivoka, underscore her commitment to translating research into practical solutions.
Valentin Nyzam is a Researcher at the University of Tours , affiliated with the Polytechnic School and Department of Networks and Telecommunications (RT) . He works at the Fundamental and Applied Computer Science Laboratory of Tours (LIFAT, UR 6300) and is associated with the University Institute of Technology of Blois (IUT Blois) . Research Focus: Specializes in Natural Language Processing with emphasis on automatic summarization and comparative summarization Develops modular open-source tools (MOTS) for multi-document summarization Active in deep learning applications for text analysis and word embeddings Conducts cross-lingual research and short text language identification Focus on French language processing and implementation of NLP tools Contact: valentin.nyzam@univ-tours.fr
Gilles Venturini is a Professor in Computer Science at the University of Tours, France, affiliated with PolytechTours and the Computer Science Lab. He has held this position since 1998 following his appointment as Assistant Professor from 1994-1998. His academic credentials include a Research Supervisor Degree (HdR) from the University of Tours (1997), a PhD in Computer Science from the University of the South of Paris (1994) supervised by Yves Kodratoff, and dual qualifications in Computer Science (MSc, 1990) and Electrical Engineering (ESIEE, 1990). Professor Venturini's research concentrates on information visualization, machine learning, and data mining with emphasis on genetic algorithms, neural networks, and computer vision. His work develops practical tools for visual data exploration, automatic dashboard generation, and analysis of large datasets, particularly addressing usability challenges for novice users in open data contexts. His 2023-2025 publications reveal sustained innovation in ternarization of vision-language models for edge devices, few-shot object detection, and backpropagation alternatives for binary neural networks. These contributions bridge theoretical machine learning advancements with applications in cultural heritage visualization and human resources analytics. No scientific awards were documented in the source materials. While specific grant details and student supervision records are absent from the provided text, his professorial role implies active involvement in research funding acquisition and academic mentoring. His work frequently intersects with interdisciplinary teams, particularly in digital humanities projects. He remains operationally active within the University of Tours' Computer Science Lab, driving research in visualization techniques and machine learning applications through this primary institutional affiliation.
Khurshudyan Victoria is a Lecturer at INALCO specializing in Armenian linguistics, corpus construction, and areal typology. She leads the SeDyL research team and has previously directed INALCO's Eurasia Department (2019-2022) and Armenian Studies Section (2013-2015). Her research focuses on Armenian morphosyntax, computational processing of dialectal variation, and hesitation markers in oral discourse. Key Publications : Formalization of Eastern Armenian morphology (2024); Multi-dialectal ASR systems (2024); SVO syntax persistence (2023); Cross-dialectal annotation models (2020); Valency classes in Armenian (2015) Collaborators : Chahan Vidal-Gorène, Nadi Tomeh, Damien Nouvel, Pollet Samvelian, Anaïd Donabedian Administrative Roles : Deputy Director of SeDyL (2024-present); Deputy Vice President for International Relations (2023-2024); Director of Masters programs (2023-2024). Her work combines theoretical linguistics with digital humanities approaches to language documentation.
Damien Nouvel is an Associate Professor at INALCO (Institut National des Langues et Civilisations Orientales) in Paris, France, where he has been working since September 2014. He serves as the director of the ERTIM research team and holds the position of Deputy Director of the TIM Department (TAL Bachelor's and Master's programs). His academic focus lies within the Department of Natural Language Processing, where he teaches courses from L2 to M2 levels and supervises doctoral candidates and Master's dissertations. PhD from François Rabelais Tours University (defended November 2012) Postdoctoral fellow at LIMSI-CNRS (Université Paris-Sud 11), 2013/2014 Research engineer at Alpage (INRIA), 2012/2013 Doctoral student at François Rabelais Tours University, 2009-2012 Damien Nouvel's research centers on Natural Language Processing with particular emphasis on mathematical models and multilingualism, especially for under-resourced languages taught at INALCO including Quechua, Arabic, Bambara, and Chinese. His work spans multiple areas including named entity recognition, transliteration, lexical disambiguation, opinion analysis, and textometric analysis. He has developed specialized systems like mXS for automatic annotation using data mining techniques. His recent research has expanded to social media analysis, conspiracy discourse, and low-resource language processing, demonstrating both theoretical depth and practical application. Analyzing his publication trends from 2022-2025 reveals a strong focus on multilingual NLP systems, particularly for low-resource languages. His work consistently bridges theoretical computational linguistics with practical applications, with increasing emphasis on transformer models, social media analysis, and cross-lingual resource development. The publications show progression from foundational NER work to more complex multilingual systems capable of handling diverse languages including Farsi, Chinese, Armenian, and Urdu. Damien Nouvel actively supervises doctoral students and Master's dissertations while managing significant research projects. His team ERTIM participates in major evaluation campaigns like SemEval, demonstrating practical application of their research. His work spans multiple domains from speech processing to social media analysis, showing adaptability and relevance to contemporary language processing challenges. As director of the ERTIM research team since 2020, Nouvel leads a group focused on natural language processing with special attention to under-resourced languages. The team works on diverse projects including language modeling, named entity recognition across multiple languages, social media analysis, and resource creation for languages with limited digital presence. Their work combines symbolic approaches with modern machine learning techniques to address the challenges of processing diverse linguistic systems.
El Ayari Sarra is a Lecturer at the National Institute of Oriental Languages and Civilizations (INALCO) specializing in language technologies and multilingual communication systems. She holds teaching positions in the Master's programs for Automatic Language Processing and Languages and Societies, where she contributes to developing curriculum that bridges linguistic theory with computational applications. Research Profile Her research centers on second language acquisition methodologies, corpus linguistics analysis techniques, and natural language processing applications. Dr. El Ayari Sarra investigates how computational approaches can enhance multilingual communication in digital environments, with particular focus on European language contexts and intercultural frameworks. Teaching Expertise She teaches specialized courses in Web design, Multilingual databases, and Content management systems, integrating her research in language technologies with practical development skills. Her teaching portfolio reflects INALCO's commitment to preparing students for careers at the intersection of linguistics, computer science, and cross-cultural communication. Professional Responsibilities As faculty member, she contributes to both the Master's in Automatic Language Processing and the Master's in Languages and Societies programs, where she participates in curriculum development and student mentorship for future experts in computational linguistics and multilingual communication technologies.
Chloé Clavel is a Professor of Affective Computing at Télécom Paris (Institut Polytechnique de Paris) and Senior Researcher at INRIA Paris . She coordinates the Social Computing theme at Télécom Paris and leads research at the intersection of Affective Computing , Artificial Intelligence , and Human-Agent Interaction . Her work spans multiple disciplines including speech processing, natural language understanding, and social robotics. Research Focus: Socio-emotional behavior modeling Applications: Health, Education, Social Robotics Funding: H2020 ITN ANIMATAS, ANR SINNet Her recent publications demonstrate expertise in NLP and AI with topics including: Language model evaluation Contextual word representations Multimodal attention networks Stance detection Emotion recognition Awarded the AAAI-22 Outstanding Student Paper award for her work on the InfoLM metric, she has developed significant resources like the 3MT_French dataset and SILICONE benchmark . Her teaching includes: Master's Degree in Artificial Intelligence Courses on affective computing and NLP Industry training at Allianz and Sagemcom
